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Keeping up with the Max Plancks? Germany’s quest for university excellence and the role of public research institutes in doctoral education
Bünstorf, Guido, Johannes König & Anne Otto (2025): Keeping up with the Max Plancks? Germany’s quest for university excellence and the role of public research institutes in doctoral education. In: Scientometrics, Jg. 130, H. 1, S. 67-108. DOI:10.1007/s11192-024-05195-w
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Costs and benefits of a formal academic qualification beyond the PhD
König, Johannes (2024): Costs and benefits of a formal academic qualification beyond the PhD. In: Higher education, S. 1-35. DOI:10.1007/s10734-024-01338-3
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Expansion of doctoral training and doctorate recipients’ labour market outcomes: evidence from German register data
Bünstorf, Guido, Johannes König & Anne Otto (2023): Expansion of doctoral training and doctorate recipients’ labour market outcomes: evidence from German register data. In: Studies in higher education, Jg. 48, H. 8, S. 1216-1242. DOI:10.1080/03075079.2023.2188397
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Karriereentscheidungen und Karriereverläufe Promovierter - zur Multifunktionalität der Promotion
König, Johannes, Anne Otto, Guido Bünstorf, Kolja Briedis, Fine Cordua & Hendrik Schirmer (2021): Karriereentscheidungen und Karriereverläufe Promovierter - zur Multifunktionalität der Promotion. Studien im Rahmen des Bundesberichts Wissenschaftlicher Nachwuchs (BuWiN) 2021. (Bundesbericht Wissenschaftlicher Nachwuchs 4,B3), 161 S.
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A supervised machine learning approach to trace doctorate recipients’ employment trajectories
Heinisch, Dominik, Johannes König & Anne Otto (2020): A supervised machine learning approach to trace doctorate recipients’ employment trajectories. In: Quantitative Science Studies, Jg. 1, H. 1, S. 94-116. DOI:10.1162/qss_a_00001
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The IAB-INCHER project of earned doctorates (IIPED): A supervised machine learning approach to identify doctorate recipients in the German integrated employment biography data
Heinisch, Dominik, Johannes König & Anne Otto (2019): The IAB-INCHER project of earned doctorates (IIPED): A supervised machine learning approach to identify doctorate recipients in the German integrated employment biography data. (IAB-Discussion Paper 13/2019), Nürnberg, 30 S.
