Jürgen Seifried

1.2k total citations
84 papers, 473 citations indexed

About

Jürgen Seifried is a scholar working on Education, Sociology and Political Science and Organizational Behavior and Human Resource Management. According to data from OpenAlex, Jürgen Seifried has authored 84 papers receiving a total of 473 indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Education, 40 papers in Sociology and Political Science and 12 papers in Organizational Behavior and Human Resource Management. Recurrent topics in Jürgen Seifried's work include Education Methods and Technologies (37 papers), Sociology and Education Studies (33 papers) and Vocational Education and Training (32 papers). Jürgen Seifried is often cited by papers focused on Education Methods and Technologies (37 papers), Sociology and Education Studies (33 papers) and Vocational Education and Training (32 papers). Jürgen Seifried collaborates with scholars based in Germany, Switzerland and Netherlands. Jürgen Seifried's co-authors include Andreas Rausch, Eveline Wuttke, Christian Harteis, Viola Deutscher, Michaela Gläser‐Zikuda, Sebastian Horn, Bernhard Schmitz, Jost Sieweke, Bin Zhao and Stephen Billett and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computers & Education and Frontiers in Psychology.

In The Last Decade

Jürgen Seifried

69 papers receiving 423 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jürgen Seifried Germany 14 276 122 79 61 58 84 473
Linda Barrington United States 9 457 1.7× 52 0.4× 59 0.7× 42 0.7× 75 1.3× 32 659
Janine van der Rijt Netherlands 10 270 1.0× 40 0.3× 55 0.7× 87 1.4× 92 1.6× 13 473
Harmen Schaap Netherlands 13 463 1.7× 50 0.4× 61 0.8× 38 0.6× 130 2.2× 35 593
Jill Casner-Lotto United States 5 351 1.3× 42 0.3× 57 0.7× 49 0.8× 79 1.4× 9 511
Carla Quesada‐Pallarès Spain 12 218 0.8× 32 0.3× 72 0.9× 98 1.6× 54 0.9× 54 452
Ken Bain United States 4 442 1.6× 59 0.5× 69 0.9× 17 0.3× 79 1.4× 10 596
Janne Morton Australia 12 361 1.3× 25 0.2× 32 0.4× 38 0.6× 120 2.1× 20 631
Darren Anthony Bryant Hong Kong 16 593 2.1× 82 0.7× 40 0.5× 43 0.7× 85 1.5× 37 689
Barbara Fresko Israel 13 599 2.2× 43 0.4× 145 1.8× 38 0.6× 79 1.4× 41 744
Huan Song China 13 299 1.1× 44 0.4× 105 1.3× 42 0.7× 95 1.6× 41 499

Countries citing papers authored by Jürgen Seifried

Since Specialization
Citations

This map shows the geographic impact of Jürgen Seifried's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jürgen Seifried with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jürgen Seifried more than expected).

Fields of papers citing papers by Jürgen Seifried

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jürgen Seifried. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jürgen Seifried. The network helps show where Jürgen Seifried may publish in the future.

Co-authorship network of co-authors of Jürgen Seifried

This figure shows the co-authorship network connecting the top 25 collaborators of Jürgen Seifried. A scholar is included among the top collaborators of Jürgen Seifried based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jürgen Seifried. Jürgen Seifried is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Rausch, Andreas, et al.. (2024). Predicting problem-solving success in an office simulation applying N-grams and a random forest to behavioral process data. Computers & Education. 218. 105093–105093. 5 indexed citations
2.
Seifried, Jürgen, et al.. (2024). Dropout intention: a valid predictor of actual dropout?. Empirical research in vocational education and training. 16(1). 8 indexed citations
3.
Rausch, Andreas, et al.. (2024). Informal Learning in Business Internships in Higher Education – Findings from a Diary Study. Vocations and Learning. 17(3). 433–458. 1 indexed citations
5.
Seifried, Jürgen. (2023). Die Zukunft der Berufsschule – Zwischen Digitalisierung, Heterogenität und Lehrer:innenmangel. Zeitschrift für Berufs- und Wirtschaftspädagogik. 119(1). 3–17. 1 indexed citations
6.
Seifried, Jürgen, et al.. (2023). Explaining skills of prospective teachers – Findings from a simulation study. Vocations and Learning. 16(2). 313–341. 1 indexed citations
7.
Rausch, Andreas, et al.. (2022). Problem-Solving and Tool Use in Office Work: The Potential of Electronic Performance Support Systems to Promote Employee Performance and Learning. Frontiers in Psychology. 13. 869428–869428. 3 indexed citations
8.
Seifried, Jürgen, et al.. (2015). Fehlerklima und individueller Umgang mit Fehlern im Ausbildungsbetrieb : Ergebnisse einer Studie in Deutschland und der Schweiz. MADOC (University of Mannheim).
9.
Wuttke, Eveline & Jürgen Seifried. (2012). Ansätze der Identifikation typischer Schülerfehler - Ergebnisse aus Studien in kaufmännischen Schulen. Unterrichtswissenschaft. 40(2). 174–192. 2 indexed citations
10.
Baumgärtner, Alexander & Jürgen Seifried. (2011). Umgang mit Fehlern am Arbeitsplatz - das Beispiel Gastronomie. MADOC (University of Mannheim). 1 indexed citations
11.
Seifried, Jürgen, et al.. (2008). PDAs als Erhebungsinstrument in der beruflichen Lernforschung - ein neues Wundermittel oder bewährter Standard? : eine Replik auf Henning Pätzold. KOPS (University of Konstanz). 6 indexed citations
12.
Seifried, Jürgen. (2008). Methodische Gestaltung des Unterrichts an kaufmännischen Schulen. MADOC (University of Mannheim). 60(11). 364–370. 2 indexed citations
13.
Wuttke, Eveline, et al.. (2007). Selbstorganisiertes Lernen in der beruflichen Bildung Abgrenzungen, Befunde und Konsequenzen. KOPS (University of Konstanz). 13(13). 8 indexed citations
14.
Seifried, Jürgen, et al.. (2007). Selbstorganisiertes Lernen und Unterrichtsqualität. KOPS (University of Konstanz). 401–412. 1 indexed citations
15.
Seifried, Jürgen. (2006). Sichtweisen auf die methodische Gestaltung von Unterricht. KOPS (University of Konstanz). 102(4). 579–596. 1 indexed citations
16.
Seifried, Jürgen. (2006). Selektionsmechanismen im beruflichen Bildungssystem - Chancenungleichheit als Prinzip?. KOPS (University of Konstanz). 102(3). 360–379. 2 indexed citations
17.
Seifried, Jürgen, et al.. (2006). Selbstorganisiertes Lernen als didaktische Lehr-Lern-Konzeption zur Verknüpfung von selbstgesteuertem und kooperativem Lernen. Circulation Cardiovascular Interventions. 14(12). 93–108. 2 indexed citations
18.
Seifried, Jürgen, et al.. (2005). Schülerfragen - ein brachliegendes didaktisches Feld. KOPS (University of Konstanz). 101(2). 229–245. 2 indexed citations
19.
Seifried, Jürgen, et al.. (2005). Analysen systemischer Wechselwirkungen beruflicher Bildungsprozesse : Forschungsstand und Forschungsperspektiven beruflicher Bildung. MADOC (University of Mannheim). 101(4). 601–618. 2 indexed citations
20.
Seifried, Jürgen. (2004). Der Einfluß didaktischer Schwerpunktsetzungen auf das motivationale Erleben des Rechnungswesenunterrichts in einer selbstorganisationsoffenen Lernumgebung. KOPS (University of Konstanz). 100(2). 242–255. 2 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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