Gert Stulp

2.8k citations
72 papers · 1.9k · h-index 27

Impact in

Papers in

Gert Stulp

71 papers receiving 1.8k citations

Peers

Gert Stulp
Comparison fields: 5 of 142
  • Experimental and Cognitive Psychology 737
  • Gender Studies 257
  • Applied Psychology 78
  • Demography 196
  • Social Psychology 250
Replace Alexandra Alvergne with:
Alexandra Alvergne United Kingdom
Lawrence S. Sugiyama United States
Tamás Bereczkei Hungary
Michael A. Woodley of Menie Belgium
Nigel Barber United States
Thomas Edmund Dickins United Kingdom
Lee Cronk United States
Bogusław Pawłowski Poland
Brooke A. Scelza United States
James S. Chisholm United States
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Citations per field
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Alexandra Alvergne · 1×
Citations per year

Countries citing papers authored by Gert Stulp

Since Specialization
Citations

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

Fields of papers citing papers by Gert Stulp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Gert Stulp, 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 Gert Stulp Line = papers co-authored together Gert Stulp links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014158
2 2017124
3 201296
4 201585
5 201573
6 201369
7 201267
8 201161
9 201660
10 201557
11 201556
12 201255
13 201351
14 201247
15 201646
16 200946
17 201144
18 201244
19 201342
20 201637

About Gert Stulp

Gert Stulp is a scholar working on Experimental and Cognitive Psychology, Gender Studies, Demography, Applied Psychology and Health, having authored 72 papers that have together received 1.9k indexed citations. Recurring topics across this work include Evolutionary Psychology and Human Behavior (26 papers), Family Dynamics and Relationships (14 papers), Demographic Trends and Gender Preferences (13 papers), Mental Health Research Topics (8 papers), Behavioral Health and Interventions (6 papers), Digital Mental Health Interventions (6 papers), Health disparities and outcomes (6 papers) and Animal Behavior and Reproduction (5 papers). The work is most often cited by research in Experimental and Cognitive Psychology (737 citations), Gender Studies (257 citations), Applied Psychology (78 citations), Demography (196 citations) and Social Psychology (250 citations). Gert Stulp has collaborated with scholars based in Netherlands, United Kingdom and Canada. Frequent co-authors include Thomas Victor Pollet, Louise Barrett, Abraham Pieter Buunk, Simon Verhulst, Melinda Mills, Felix C. Tropf, Rebecca Sear, Michael Stirrat, Harold Snieder and Mirre J. P. Simons. Their work appears in journals such as PLoS ONE, Evolutionary Psychology, Frontiers in Psychology, Biology Letters and Demographic Research.

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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