Small open access publishers: An analysis of visibility and impact patterns. Cruz Romero, R. (2025). Small open access publishers: An analysis of visibility and impact patterns. In S. Sargsyan, W. Glänzel, & G. Abramo (Hrsg.), Proceedings of the 20th International Conference on Scientometrics & Informetrics (ISSI 2025) (S. 2342-2350). Yerevan, Armenia: International Society for Scientometrics and Informetrics (ISSI).
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Structural and institutional determinants of Open Access publishing: A macro-perspective. Cruz Romero, R., & Stahlschmidt, S. (2025). Structural and institutional determinants of Open Access publishing: A macro-perspective. In S. Sargsyan, W. Glänzel, & G. Abramo (Hrsg.), Proceedings of the 20th International Conference on Scientometrics & Informetrics (ISSI 2025) (S. 2351-2360). Yerevan: International Society for Scientometrics and Informetrics (ISSI).
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DZHW-Studienberechtigtenpanel 2012. Daten- und Methodenbericht zur 3. Befragungswelle des Studienberechtigtenjahrgangs 2012. Jahn, V., Spangenberg, H., Ohlendorf, D., Föste-Eggers, D., Niebuhr, J., Vietgen, S., & Euler, T. (2025). DZHW-Studienberechtigtenpanel 2012. Daten- und Methodenbericht zur 3. Befragungswelle des Studienberechtigtenjahrgangs 2012. Hannover: DZHW.
Abstract
Das DZHW-Studienberechtigtenpanel 2012 ist Teil der DZHW-Studienberechtigtenbefragungsreihe, in der anhand von standardisierten Mehrfachbefragungen Informationen zu den nachschulischen Werdegängen von Schulabgänger*innen mit (schulischer) Hochschulzugangsberechtigung erfasst werden. In der Regel werden für jeden Studienberechtigtenjahrgang mehrere Befragungswellen zu unterschiedlichen Zeitpunkten vor und nach Erwerb der Hochschulzugangsberechtigung durchgeführt. Demnach handelt es sich um ein kombiniertes Kohorten-Panel-Design. Beim Studienberechtigtenpanel 2012 handelt es sich um die 19. Kohorte der Studienreihe mit aktuell drei Wellen.
Vollständiger Abstract: https://doi.org/10.21249/DZHW:gsl2012:3.0.0
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Projekt DiTraP: Disziplinenspezifische Wissenstransferpraktiken. Janßen, M., & Just, A. (2025). Projekt DiTraP: Disziplinenspezifische Wissenstransferpraktiken. In A. Eickelmann, J. Henke, B. Krieger, U. Schmoch, J. Spanjol, & F. Witzigmann (Hrsg.), Erfolgreiche Gestaltung von Wissenstransfer an Hochschulen. Ein Leitfaden für Hochschulleitungen und Wissenschaftsministerien (S. 13-20). Karlsruhe: Fraunhofer ISI.
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Egocentric attribution bias in formal co-author contribution statements and bibliometric counting method validity. Donner, P. (2025). Egocentric attribution bias in formal co-author contribution statements and bibliometric counting method validity. In S. Sargsyan, W. Glänzel, & G. Abramo (Hrsg.), Proceedings of the 20th International Conference on Scientometrics & Informetrics (ISSI 2025). Yerevan: International Society for Scientometrics and Informetrics.
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Are citation context information stronger related to peer ratings than citation counts? A descriptive analysis. Donner, P., Stahlschmidt, S., Haunschild, R., & Bornmann, L. (2025). Are citation context information stronger related to peer ratings than citation counts? A descriptive analysis. In S. Sargsyan, W. Glänzel, & G. Abramo (Hrsg.), Proceedings of the 20th International Conference on Scientometrics & Informetrics (ISSI 2025) (S. 325-332). Yerevan: International Society for Scientometrics and Informetrics.
Abstract
In this study, we investigated whether citation context information is able to increase the validity of citation impact analyses to measure research quality compared to simple citation counts. We analyzed the statistical relationships of information extracted from structured citation context data in the Web of Science (Clarivate) such as the placement of citations within specific sections of an article with post-publication peer review quality ratings from Faculty Opinions (H1 connect), used as an external validity criterion for research quality. The study is based on publications in medicine and life sciences. [...]
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SurveyBot: A new era of web survey pretesting. Shahania, S., Spiliopoulou, M., & Broneske, D. (2025). SurveyBot: A new era of web survey pretesting. In I. Maglogiannis, L. Iliadis, A. Andreou, & A. Papaleonidas (Hrsg.), Artificial Intelligence Applications and Innovations. AIAI 2025. IFIP Advances in Information and Communication Technology. Cham: Springer. https://doi.org/10.1007/978-3-031-96235-6_29
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Ageism in German Universities: Challenges Faced by Older Students. Gerdes, F., Naegele, Dr. L., Ordemann, Dr. J., & Hess, Dr. M. (2025). Ageism in German Universities: Challenges Faced by Older Students. Educational Gerontology. Taylor & Francis Online , https://doi.org/10.1080/03601277.2025.2522392 (Abgerufen am: 23.06.2025) (online first). https://doi.org/10.1080/03601277.2025.2522392
Abstract
Ageism in universities—meaning unequal treatment based on (older) age—is rarely addressed in higher education research. Yet with increasingly age-diverse student populations, older students may face discrimination for defying chrononormative expectations. Using data from the 2021 German Student Survey (N = 4,811; 300 students aged 30+), this research note identifies six forms of ageism. Logistic regression shows older students more often feel excluded or disregarded, but less often report unwelcome sexual remarks. Findings point to the need for policy action and greater scholarly attention to ageism in higher education.
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The impact of Russia-Ukraine conflict on international migration of Russian‐affiliated researchers. Lovakov, A. (2025). The impact of Russia-Ukraine conflict on international migration of Russian‐affiliated researchers. In S. Sargsyan, W. Glänzel, & G. Abramo (Hrsg.), Proceedings of the 20th International Conference on Scientometrics & Informetrics (ISSI 2025) (S. 1730-1738). Yerevan: International Society for Scientometrics and Informetrics.
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Ko-Publikationen für das Monitoring internationaler Hochschulkooperationen: Aussagekraft, Datenquellen und Datennutzung. Stahlschmidt, S. (2025). Ko-Publikationen für das Monitoring internationaler Hochschulkooperationen: Aussagekraft, Datenquellen und Datennutzung. Sitzung der KMK Bund-Länder AG „Indikatoren“.
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Implicit reporting standards in bibliometric research: What can reviewers' comments tell us about reporting completeness? Stephen, D., Schniedermann, A., Lovakov, A., Schmidt, M., Ottaviani, M., ... & Stahlschmidt, S. (2025). Implicit reporting standards in bibliometric research: What can reviewers' comments tell us about reporting completeness? In S. Sargsyan, W. Glänzel, & G. Abramo (Hrsg.), Proceedings of the 20th International Conference on Scientometrics & Informetrics (ISSI 2025) (S. 2193-2200). Yerevan: International Society for Scientometrics and Informetrics.
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A decision model for it-supported research management based on cutting-edge data science technologies. Azeroual, O., & Störl, U. (2025). A decision model for it-supported research management based on cutting-edge data science technologies. In C.S. Londhe, N.S. Bhatt, & N. Kitsing (Hrsg.), Information Systems for Intelligent Systems. ISBM 2024. Smart Innovation, Systems and Technologies (S. 315-330). Singapore: Springer. https://doi.org/10.1007/978-981-96-1206-2_25
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Towards automatic bias analysis in multimedia journalism. Hinrichs, R., Steffen, H., Avetisyan, H., Broneske, D., & Ostermann, J. (2025). Towards automatic bias analysis in multimedia journalism. Discover Artificial Intelligence, 2025(5/112), 1-28. https://doi.org/10.1007/s44163-025-00362-1
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Bibliometrics and altmetrics in the context of traditional, complementary, and integrative medicine. Ng, J. Y., Stephen, D., Liu, J., Ostermann, T., Robinson, N., & Cramer, H. (2025). Bibliometrics and altmetrics in the context of traditional, complementary, and integrative medicine. Integrative Medicine Research (online first).
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Application Barriers and the Socioeconomic Gap in Child Care Enrollment. Hermes, H., Lergetporer, P., Peter, F., & Wiederhold, S. (2025). Application Barriers and the Socioeconomic Gap in Child Care Enrollment. Journal of the European Economic Association, 23(3), 1133-1172. https://doi.org/10.1093/jeea/jvae054
Abstract
Why are children with lower socioeconomic status (SES) substantially less likely to be enrolled in child care? We study whether barriers in the application process work against lower-SES children — the group known to benefit strongest from child care enrollment. In an RCT in Germany with highly subsidized child care (N = 607), we offer treated families information and personal assistance for applications. We find substantial, equity-enhancing effects of the treatment, closing half of the large SES gap in child care enrollment. Increased enrollment for lower-SES families is likely driven by altered application knowledge and behavior. We discuss scalability of our intervention and derive policy implications for the design of universal child..
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