Thomas Calvard

1.0k citations
46 papers · 705 · h-index 16

Impact in

Papers in

Thomas Calvard

37 papers receiving 663 citations

Peers

Thomas Calvard
Comparison fields: 5 of 105
  • Organizational Behavior and Human Resource Management 175
  • Gender Studies 88
  • Health Informatics 11
  • Radiological and Ultrasound Technology 36
  • Management Information Systems 58
Replace Katja Einola with:
Katja Einola Finland
Michael C. Campion United States
Marian Iszatt‐White United Kingdom
Emily D. Campion United States
Diana L. Deadrick United States
Mari Kira United States
François Chiocchio Canada
John H. Batchelor United States
Florian E. Klonek Germany
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Citations per year

Countries citing papers authored by Thomas Calvard

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Calvard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Thomas Calvard, 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 Thomas Calvard Line = papers co-authored together Thomas Calvard links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201769
2 201566
3 201863
4 201955
5 201349
6 202139
7 201835
8 201835
9 202135
10 201731
11 202129
12 201923
13 202021
14 201920
15 202018
16
To make self-driving cars safe, we also need better roads and infrastructure
201815
17 202011
18 201911
19 201711
20 20189

About Thomas Calvard

Thomas Calvard is a scholar working on Sociology and Political Science, Organizational Behavior and Human Resource Management, Social Psychology, Gender Studies and Strategy and Management, having authored 46 papers that have together received 705 indexed citations. Recurring topics across this work include Management and Organizational Studies (7 papers), Gender Diversity and Inequality (7 papers), Big Data and Business Intelligence (4 papers), Complex Systems and Decision Making (4 papers), Job Satisfaction and Organizational Behavior (3 papers), Labor Movements and Unions (3 papers), Knowledge Management and Sharing (2 papers) and Emotional Labor in Professions (2 papers). The work is most often cited by research in Organizational Behavior and Human Resource Management (175 citations), Gender Studies (88 citations), Health Informatics (11 citations), Radiological and Ultrasound Technology (36 citations) and Management Information Systems (58 citations). Thomas Calvard has collaborated with scholars based in United Kingdom, Ireland and United States. Frequent co-authors include Kate Sang, Debora Jeske, Kristina Potočnik, Nick Oliver, Jennifer Remnant, Maryam Aldossari, Dawn Yi Lin Chow, Ben Marder, Chris Archer‐Brown and Tina Kowalski. Their work appears in journals such as Management Learning, Work Employment and Society, Journal of Business Ethics, Group Processes & Intergroup Relations and International Journal of Environmental Research and Public Health.

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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