Torsten Biemann

2.7k citations
70 papers · 1.8k indexed · h-index 22

Impact in

Papers in

Torsten Biemann

62 papers receiving 1.7k citations

Peers

Torsten Biemann
Comparison fields: 5 of 112
  • Organizational Behavior and Human Resource Management 778
  • Communication 350
  • Management of Technology and Innovation 186
  • Gender Studies 238
  • Safety Research 162
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Kevin W. Rockmann United States
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Dirk Buyens Belgium
Aukje Nauta Netherlands
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Citations per field
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Citations per year

Countries citing papers authored by Torsten Biemann

Since Specialization
Citations

This map shows the geographic impact of Torsten Biemann'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 Torsten Biemann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Torsten Biemann more than expected).

Fields of papers citing papers by Torsten Biemann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Torsten Biemann. 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 Torsten Biemann. The network helps show where Torsten Biemann may publish in the future.

Co-authors

The 25 scholars most cited alongside Torsten Biemann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Torsten Biemann Line = papers co-authored together Torsten Biemann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20242
3 20249
4 20230
5 202310
6 202220
7 20225
8 202011
9
Wahrnehmung von KI - Was denken Mitarbeiter über ihre Anwendung und Fairness?
20191
10
Transformationale Führung: What’s next?
20190
11
Mensch gegen Maschine: Wie gut sind Algorithmen im HR?
20162
12 201639
13 201439
14 20137
15
Patterns of entrepreneurial career development: An optimal matching analysis approach
201216
16 201284
17 20129
18 2011276
19 20105
20
Did economic globalization destabilize careers? Evidence from Germany
20092

About Torsten Biemann

Torsten Biemann is a scholar working on Organizational Behavior and Human Resource Management, Gender Studies, Communication, Management of Technology and Innovation and Demography, having authored 70 papers that have together received 1.8k indexed citations. Recurring topics across this work include Gender Diversity and Inequality (14 papers), Labor market dynamics and wage inequality (11 papers), Job Satisfaction and Organizational Behavior (11 papers), International Student and Expatriate Challenges (7 papers), Retirement, Disability, and Employment (7 papers), Entrepreneurship Studies and Influences (5 papers), Social and Intergroup Psychology (4 papers) and Psychological Well-being and Life Satisfaction (4 papers). The work is most often cited by research in Organizational Behavior and Human Resource Management (778 citations), Communication (350 citations), Management of Technology and Innovation (186 citations), Gender Studies (238 citations) and Safety Research (162 citations). Torsten Biemann has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Sven C. Voelpel, Maike Andresen, Michael S. Cole, Eric Kearney, Hannes Zacher, Daniel C. Feldman, Marshall W. Pattie, Jean‐Pierre Wolf, Stephen Jaros and Deepak K. Datta. Their work appears in journals such as The International Journal of Human Resource Management, Journal of Vocational Behavior, Organizational Research Methods, Journal of Organizational Behavior and The Leadership Quarterly.

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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