Stefan Süß

1.4k citations
64 papers · 715 · h-index 16

Impact in

Papers in

Stefan Süß

57 papers receiving 668 citations

Peers

Stefan Süß
Comparison fields: 5 of 76
  • Organizational Behavior and Human Resource Management 329
  • Public Administration 39
  • Gender Studies 99
  • Human Factors and Ergonomics 24
  • Communication 58
Replace Vickie Coleman Gallagher with:
Vickie Coleman Gallagher United States
Christine Cross Ireland
Ingo Weller Germany
Jordi Trullén Spain
Sylvie Guerrero Canada
Gill Musson United Kingdom
Julie Irene Hancock United States
Simón L. Dolan Spain
Sunghoon Kim Australia
Noreen Heraty Ireland
Stefan Süß relative to Vickie Coleman Gallagher United States Vickie Coleman Gallagher's profile →
Citations per field
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Vickie Coleman Gallagher · 1×
Citations per year

Countries citing papers authored by Stefan Süß

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Süß

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Stefan Süß, 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 Stefan Süß Line = papers co-authored together Stefan Süß links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201897
2 201955
3 201952
4 200838
5 201932
6 201731
7 201331
8 202323
9 201623
10 201623
11 200922
12 201722
13 201919
14 201718
15 201416
16 201315
17 200815
18 201612
19 202111
20 201310

About Stefan Süß

Stefan Süß is a scholar working on Organizational Behavior and Human Resource Management, Sociology and Political Science, General Health Professions, Strategy and Management and Social Psychology, having authored 64 papers that have together received 715 indexed citations. Recurring topics across this work include Job Satisfaction and Organizational Behavior (14 papers), Employment and Welfare Studies (10 papers), Digital Economy and Work Transformation (9 papers), Workplace Health and Well-being (8 papers), Work-Family Balance Challenges (7 papers), Gender Diversity and Inequality (6 papers), Sociology and Education Studies (5 papers) and Employer Branding and e-HRM (5 papers). The work is most often cited by research in Organizational Behavior and Human Resource Management (329 citations), Public Administration (39 citations), Gender Studies (99 citations), Human Factors and Ergonomics (24 citations) and Communication (58 citations). Stefan Süß has collaborated with scholars based in Germany, Netherlands and Austria. Frequent co-authors include Sascha Alexander Ruhle, Jost Sieweke, Johannes Becker, Mathias Diebig, Phillip Nguyen, Matthias Oelke, Florian B. Zapkau, Peter Angerer, Nico Dragano and Andrea Hausmann. Their work appears in journals such as German Journal of Human Resource Management Zeitschrift für Personalforschung, Management Review Quarterly, European Management Journal, The International Journal of Human Resource Management and Journal of Business and Psychology.

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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