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Lindahl, Jonas
Publications (10 of 13) Show all publications
Lindahl, J., Colliander, C. & Danell, R. (2020). Early career performance and its correlation with gender and publication output during doctoral education. Scientometrics, 122(1), 309-330
Open this publication in new window or tab >>Early career performance and its correlation with gender and publication output during doctoral education
2020 (English)In: Scientometrics, ISSN 0138-9130, E-ISSN 1588-2861, Vol. 122, no 1, p. 309-330Article in journal (Refereed) Published
Abstract [en]

Publishing in peer-reviewed journals as a part of the doctoral education is common practice in many countries. The publication output of doctoral students is increasingly used in selection processes for funding and employment in their early careers. Against the backdrop of this development, the aim of this study is to examine (1) how performance during the doctoral education affect the probability of attaining research excellence in the early career; and (2) if there is performance differences between males and females in the early career and to which degree these gender differences can be explained by performance differences during the doctoral education. The data consist of Swedish doctoral students employed at the faculty of science and technology and the faculty of medicine at a Swedish university. Our main conclusions are that (1) research performance during the doctoral education has a positive effect on attaining excellence in the early career; (2) there is an interaction between publication volume and excellence during doctoral education suggesting that a combination of quantity and quality in doctoral students’ performance is indicative of future excellence; (3) there are performance differences in the early career indicating that males have a higher probability of attaining excellence than females, and; (4) this difference is partly explained by performance differences during the doctoral education.

Place, publisher, year, edition, pages
Springer, 2020
Keywords
Early career, Doctoral student, Excellence, Gender, Indicator, Bibliometrics, Performance, Prediction
National Category
Information Studies Sociology (excluding Social Work, Social Psychology and Social Anthropology)
Identifiers
urn:nbn:se:umu:diva-165082 (URN)10.1007/s11192-019-03262-1 (DOI)000495348700008 ()2-s2.0-85074815376 (Scopus ID)
Available from: 2019-11-09 Created: 2019-11-09 Last updated: 2020-02-03Bibliographically approved
Lindahl, J. (2020). In search of future excellence: bibliometric indicators, gender differences, and predicting research performance in the early career. (Doctoral dissertation). Umeå: Umeå universitet
Open this publication in new window or tab >>In search of future excellence: bibliometric indicators, gender differences, and predicting research performance in the early career
2020 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

The governance of higher education institutions and science have endured significant changes during the last decades, emphasizing competitiveness, performance, and excellence. Embedded in this development is an increased use of bibliometric indicators as decision support tools in contexts of e.g., employment, appointment, and funding. These changes have gradually extended to the early career phase and the doctoral education.

The aim of this thesis is to make a contribution to an ongoing discussion about the predictability of research performance and the reasonability of using bibliometric indicators in the early career, with a focus on gender differences. The thesis revolves around three overarching research questions focusing the early career and the doctoral education: (1) the degree to which research performance, as operationalized with bibliometric indicators, is predictable; (2) the degree to which gender differences in early career performance can be explained by research performance during the doctoral education; and (3) to what degree factors such as collaboration and supervisor behaviour, might affect gender differences in research performance.

The main results suggests that research performance in the early career, as operationalized by bibliometric indicators, is predictable. Individuals who publish larger volumes, publish more in high prestige journals, and more excellent research early in their career, are more likely to attain excellence later on. The results also indicates that gender differences in performance can be observed as early asduring doctor education and that these differences partly explain the observed performance differences between males and females in the early career.

Finally, the results suggests that gender differences in performance during doctoral education can largely be explained by the doctoral student’s collaborative networks and supervisor behaviour. It is concluded that while research performance, as operationalized by bibliometric indicators, duringthe early career is predictable, there are gender differences in performance that have to be taken into consideration. If they are not, the use of these types of performance indicators in science policy and management might increase the gender gap in science.

Place, publisher, year, edition, pages
Umeå: Umeå universitet, 2020. p. 60
Series
Akademiska avhandlingar vid Sociologiska institutionen, Umeå universitet, ISSN 1104-2508 ; 84
Keywords
bibliometric indicator, gender, early career, doctoral education, excellence, decision support tool, prediction, research performance, doctoral student
National Category
Information Studies Sociology Educational Sciences
Research subject
library and information science
Identifiers
urn:nbn:se:umu:diva-167701 (URN)978-91-7855-208-5 (ISBN)978-91-7855-209-2 (ISBN)
Public defence
2020-02-28, Hörsal N360, Naturvetarhuset, Umeå, 10:00 (English)
Opponent
Supervisors
Available from: 2020-02-07 Created: 2020-02-01 Last updated: 2020-02-18Bibliographically approved
Hakvoort, I., Lindahl, J. & Lundström, A. (2019). A bibliometric review of approaches to address conflicts in schools: Exploring the intellectual base. Conflict Resolution Quarterly, 37(2), 123-145
Open this publication in new window or tab >>A bibliometric review of approaches to address conflicts in schools: Exploring the intellectual base
2019 (English)In: Conflict Resolution Quarterly, ISSN 1536-5581, E-ISSN 1541-1508, Vol. 37, no 2, p. 123-145Article in journal (Refereed) Published
Abstract [en]

Increasing numbers of student teachers, teachers, and teacher educators require training in research‐based knowledge about how to address conflicts in schools. There are also increasing numbers of relevant publications, and hence, a perceived need to map influential theories, methods, and topics that shaped the field of research. To meet this need, a bibliometric study was conducted. The reviewed literature, 608 publications referring to studies by 197 influential authors, was subdivided into two periods: 1996–2010 and 2011–2015. The intellectual structure was examined by author co‐citation analysis. The findings indicate seven clusters of authors from period one and four from period two.

Place, publisher, year, edition, pages
John Wiley & Sons, 2019
Keywords
author co-citation analysis, intellectual base, conflict resolution, conflict management, bibliometrics, school, education, teacher, student
National Category
Educational Sciences
Identifiers
urn:nbn:se:umu:diva-163105 (URN)10.1002/crq.21266 (DOI)000483976100001 ()2-s2.0-85071268545 (Scopus ID)
Funder
Swedish Research Council, 2014-02132
Available from: 2019-09-06 Created: 2019-09-06 Last updated: 2020-01-09Bibliographically approved
Lindahl, J. (2018). Predicting research excellence at the individual level: The importance of publication rate, top journal publications, and top 10% publications in the case of early career mathematicians. Journal of Informetrics, 12(2), 518-533
Open this publication in new window or tab >>Predicting research excellence at the individual level: The importance of publication rate, top journal publications, and top 10% publications in the case of early career mathematicians
2018 (English)In: Journal of Informetrics, ISSN 1751-1577, E-ISSN 1875-5879, Vol. 12, no 2, p. 518-533Article in journal (Refereed) Published
Abstract [en]

The purpose of this study was to examine the relationship between publication rate, top journal publications and excellence during the first eight years of the career, and how well publication rate, top journal publications and highly cited publications during the first four years of the career can predict whether an author attain excellence in the fifth to the eighth year. The dataset consisted of publication track records of 406 early career mathematicians in the sub-field of number theory collected from the MathSciNet database. Logistic regression and dominance analysis was applied to the data. The major conclusions were (1) publication rate had a positive effect on excellence during the first eighth years of the career. However, those who publish many articles in top journals, which implicitly require a high publication count, had an even higher probability of attaining excellence. These results suggest that publishing in top journals is very important in the process of attaining excellence in the early career in addition to publishing many papers; and (2) a dominance analysis indicated that the number of top journal publications and highly cited publications during the first four years of the career were the most important predictors of who will attain excellence in the later career. The results are discussed in relation to indicator development and science policy.

Place, publisher, year, edition, pages
Elsevier, 2018
Keywords
Excellence, Productivity, Early career, Dominance analysis, Mathematics, Highly cited, Bibliometric indicator, Journal prestige
National Category
Information Studies
Research subject
library and information science
Identifiers
urn:nbn:se:umu:diva-147736 (URN)10.1016/j.joi.2018.04.002 (DOI)000433891600010 ()2-s2.0-85047121209 (Scopus ID)
Available from: 2018-05-16 Created: 2018-05-16 Last updated: 2020-02-03Bibliographically approved
Lindahl, J. (2018). Predicting research excellence at the individual level: the importance of publication rate, top journal publications, and top 10% publications in the case of early career mathematicians (vol 12, pg 518, 2018). Journal of Informetrics, 12(4), 1327-1329
Open this publication in new window or tab >>Predicting research excellence at the individual level: the importance of publication rate, top journal publications, and top 10% publications in the case of early career mathematicians (vol 12, pg 518, 2018)
2018 (English)In: Journal of Informetrics, ISSN 1751-1577, E-ISSN 1875-5879, Vol. 12, no 4, p. 1327-1329Article in journal (Refereed) Published
Place, publisher, year, edition, pages
Elsevier, 2018
National Category
Information Studies
Identifiers
urn:nbn:se:umu:diva-154063 (URN)10.1016/j.joi.2018.06.008 (DOI)000451074800025 ()
Note

Erratum to: Jonas Lindahl. Predicting research excellence at the individual level: The importance of publication rate, top journal publications, and top 10% publications in the case of early career mathematicians. Journal of Informetrics. 2018;12:2. DOI: 10.1016/j.joi.2018.04.002

Available from: 2018-12-19 Created: 2018-12-19 Last updated: 2020-02-01Bibliographically approved
Lindahl, J. (2018). Predicting research excellence at the individual level with bibliometric indicators: a rejoinder on a comment by Van den Besselaar and Sandstrom (2018) [Letter to the editor]. Journal of Informetrics, 12(4), 1194-1198
Open this publication in new window or tab >>Predicting research excellence at the individual level with bibliometric indicators: a rejoinder on a comment by Van den Besselaar and Sandstrom (2018)
2018 (English)In: Journal of Informetrics, ISSN 1751-1577, E-ISSN 1875-5879, Vol. 12, no 4, p. 1194-1198Article in journal, Letter (Refereed) Published
Place, publisher, year, edition, pages
Elsevier, 2018
National Category
Information Studies
Identifiers
urn:nbn:se:umu:diva-154064 (URN)10.1016/j.joi.2018.09.008 (DOI)000451074800015 ()
Available from: 2018-12-19 Created: 2018-12-19 Last updated: 2018-12-19Bibliographically approved
Hakvoort, I., Lindahl, J. & Lundström, A. (2018). School-related conflicts and conflict resolution 1996-2015: a bibliometric review of publication activity and research themes. In: American Educational Research Association Conference Online Program 2018: . Paper presented at AERA annual meeting, New York City, NY, April, 13-17, 2018. American Educational Research Association
Open this publication in new window or tab >>School-related conflicts and conflict resolution 1996-2015: a bibliometric review of publication activity and research themes
2018 (English)In: American Educational Research Association Conference Online Program 2018, American Educational Research Association , 2018Conference paper, Published paper (Refereed)
Abstract [en]

To support teachers, teacher educators, student teachers and scholars in their navigation in the growing research field of school-based conflict and conflict resolution, a longitudinal bibliometric review was conducted. This study aimed at providing an overview of publication activity and central themes, 1996-2015. The dataset, consisting of 608 publications, was clustered on the basis of bibliographic coupling into nine clusters representing different themes. While the themes “educational leadership: management and discipline styles”, “constructive conflict resolution” and “behaviour management” were found over the whole period, others appeared 2004/5, among others "peace education and restorative approaches". Finding nine clusters strengthen the common view in this field that conflict is a multifaceted concept and can be approached from many different angles.

Place, publisher, year, edition, pages
American Educational Research Association, 2018
Keywords
conflict, school, education, conflict resolution, classroom management, bibliometrics, bibliographic coupling, longitudinal, peace education, conflict management, conflict transformation, nonviolent communication, peer mediation, restorative justice, restorative practice, school mediation, student mediation, value based education, value education, teacher, student
National Category
Educational Sciences
Identifiers
urn:nbn:se:umu:diva-148002 (URN)
Conference
AERA annual meeting, New York City, NY, April, 13-17, 2018
Projects
En undersökning av lärarens syn på konflikter som är i ett inledande stadium och hur de kan användas för att stärka lärandet
Funder
Swedish Research Council
Available from: 2018-05-24 Created: 2018-05-24 Last updated: 2018-06-09Bibliographically approved
Hakvoort, I., Lindahl, J. & Lundström, A. (2017). A Bibliometric Review of Research on School-based Conflicts and Conflict-resolution. In: : . Paper presented at European Conference on Educational Research.
Open this publication in new window or tab >>A Bibliometric Review of Research on School-based Conflicts and Conflict-resolution
2017 (English)Conference paper, Oral presentation only (Refereed)
Keywords
bibliometrics, education, school, conflict, conflict resolution, classroom management, author co-citation analysis, review, science mapping
National Category
Educational Sciences
Identifiers
urn:nbn:se:umu:diva-138725 (URN)
Conference
European Conference on Educational Research
Available from: 2017-08-29 Created: 2017-08-29 Last updated: 2018-06-09
Lindahl, J. (2016). Exploring predictors of scientific performance with decision tree analysis: the case of research excellence in early career mathematics. In: Ismael Ràfols, Jordi Molas-Gallart, Elena Castro-Martínez, Richard Woolley (Ed.), Proceedings of the 21st International Conference on Science and Technology Indicators: . Paper presented at 21st International Conference on Science and Technology Indicators, València, Spain, 14-16 September, 2016. (pp. 759-765). Universitat Politècnica de Valencia
Open this publication in new window or tab >>Exploring predictors of scientific performance with decision tree analysis: the case of research excellence in early career mathematics
2016 (English)In: Proceedings of the 21st International Conference on Science and Technology Indicators / [ed] Ismael Ràfols, Jordi Molas-Gallart, Elena Castro-Martínez, Richard Woolley, Universitat Politècnica de Valencia , 2016, p. 759-765Conference paper, Published paper (Refereed)
Abstract [en]

The purpose of this study was (1) to introduce the exploratory method of decision tree analysis as a complementary alternative to current confirmatory methods used in scientometric prediction studies of research performance; and (2) as an illustrative case, to explore predictors of future research excellence at the individual level among 493 early career mathematicians in the sub-field of number theory between 1999 and 2010. A conceptual introduction to decision tree analysis is provided including an overview of the main steps of the tree-building algorithm and the statistical method of cross-validation used to evaluate the performance of decision tree models. A decision tree analysis of 493 mathematicians was conducted to find useful predictors and important relationships between variables in the context of predicting research excellence. The results suggest that the number of prestige journal publications and a topically diverse output are important predictors of future research excellence. Researchers with no prestige journal publications are very unlikely to produce excellent research. Limitations of decision three analysis are discussed.

Place, publisher, year, edition, pages
Universitat Politècnica de Valencia, 2016
Keywords
Decision tree analysis, Performance, Prediction, Exploratory data analysis, Mathematics, Excellence
National Category
Information Studies
Research subject
library and information science
Identifiers
urn:nbn:se:umu:diva-128876 (URN)10.4995/STI2016.2016.4543 (DOI)000436233100095 ()978-84-9048-519-4 (ISBN)
Conference
21st International Conference on Science and Technology Indicators, València, Spain, 14-16 September, 2016.
Available from: 2016-12-17 Created: 2016-12-17 Last updated: 2019-01-09Bibliographically approved
Lindahl, J. & Danell, R. (2016). The information value of early career productivity in mathematics: a ROC analysis of prediction errors in bibliometricly informed decision making. Paper presented at 20th International Conference on Science and Technology Indicators (STI), Lugano, SWITZERLAND, SEP 02-09, 2015. Scientometrics, 109(3), 2241-2262
Open this publication in new window or tab >>The information value of early career productivity in mathematics: a ROC analysis of prediction errors in bibliometricly informed decision making
2016 (English)In: Scientometrics, ISSN 0138-9130, E-ISSN 1588-2861, Vol. 109, no 3, p. 2241-2262Article in journal (Refereed) Published
Abstract [en]

The aim of this study was to provide a framework to evaluate bibliometric indicators as decision support tools from a decision making perspective and to examine the information value of early career publication rate as a predictor of future productivity. We used ROC analysis to evaluate a bibliometric indicator as a tool for binary decision making. The dataset consisted of 451 early career researchers in the mathematical sub-field of number theory. We investigated the effect of three different definitions of top performance groups—top 10, top 25, and top 50 %; the consequences of using different thresholds in the prediction models; and the added prediction value of information on early career research collaboration and publications in prestige journals. We conclude that early career performance productivity has an information value in all tested decision scenarios, but future performance is more predictable if the definition of a high performance group is more exclusive. Estimated optimal decision thresholds using the Youden index indicated that the top 10 % decision scenario should use 7 articles, the top 25 % scenario should use 7 articles, and the top 50 % should use 5 articles to minimize prediction errors. A comparative analysis between the decision thresholds provided by the Youden index which take consequences into consideration and a method commonly used in evaluative bibliometrics which do not take consequences into consideration when determining decision thresholds, indicated that differences are trivial for the top 25 and the 50 % groups. However, a statistically significant difference between the methods was found for the top 10 % group. Information on early career collaboration and publication strategies did not add any prediction value to the bibliometric indicator publication rate in any of the models. The key contributions of this research is the focus on consequences in terms of prediction errors and the notion of transforming uncertainty into risk when we are choosing decision thresholds in bibliometricly informed decision making. The significance of our results are discussed from the point of view of a science policy and management.

Place, publisher, year, edition, pages
Springer Netherlands, 2016
Keywords
Receiver operating characteristics, ROC, Performance, Bibliometric indicator, Prediction errors, Decision making, Productivity, Mathematics
National Category
Information Studies
Research subject
library and information science
Identifiers
urn:nbn:se:umu:diva-128995 (URN)10.1007/s11192-016-2097-9 (DOI)000389336100046 ()
Conference
20th International Conference on Science and Technology Indicators (STI), Lugano, SWITZERLAND, SEP 02-09, 2015
Available from: 2016-12-20 Created: 2016-12-20 Last updated: 2020-02-01Bibliographically approved
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