Gerben Hulsegge

62 total papers · 1.2k total citations
44 papers, 818 citations indexed

About

Gerben Hulsegge is a scholar working on Experimental and Cognitive Psychology, General Health Professions and Physiology. According to data from OpenAlex, Gerben Hulsegge has authored 44 papers receiving a total of 818 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Experimental and Cognitive Psychology, 15 papers in General Health Professions and 6 papers in Physiology. Recurrent topics in Gerben Hulsegge's work include Sleep and Work-Related Fatigue (17 papers), Workplace Health and Well-being (12 papers) and Sleep and related disorders (9 papers). Gerben Hulsegge is often cited by papers focused on Sleep and Work-Related Fatigue (17 papers), Workplace Health and Well-being (12 papers) and Sleep and related disorders (9 papers). Gerben Hulsegge collaborates with scholars based in Netherlands, United States and Australia. Gerben Hulsegge's co-authors include Karin I. Proper, Allard J. van der Beek, W. M. Monique Verschuren, Henriëtte A. Smit, Bette Loef, Yvonne T. van der Schouw, H. Susan J. Picavet, Martha L. Daviglus, Johannes R. Anema and Annemieke M. W. Spijkerman and has published in prestigious journals such as PLoS ONE, Scientific Reports and American Journal of Epidemiology.

In The Last Decade

Gerben Hulsegge

44 papers receiving 802 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Gerben Hulsegge 274 250 171 156 96 44 818
Peian Lou 323 1.2× 178 0.7× 202 1.2× 114 0.7× 69 0.7× 43 1000
Anna K. Dahl Aslan 158 0.6× 168 0.7× 367 2.1× 157 1.0× 70 0.7× 45 940
Hongliang Feng 160 0.6× 150 0.6× 179 1.0× 107 0.7× 81 0.8× 47 819
Alicia Lozano 270 1.0× 125 0.5× 212 1.2× 137 0.9× 207 2.2× 59 824
Yolande Esquirol 385 1.4× 258 1.0× 171 1.0× 120 0.8× 200 2.1× 42 833
Raquel Faubel 387 1.4× 171 0.7× 157 0.9× 220 1.4× 52 0.5× 33 868
Wen‐Chun Liao 219 0.8× 272 1.1× 131 0.8× 85 0.5× 47 0.5× 37 964
Xiaopeng Ji 384 1.4× 151 0.6× 110 0.6× 129 0.8× 74 0.8× 72 1.0k
Luciana Torquati 393 1.4× 350 1.4× 200 1.2× 68 0.4× 124 1.3× 21 925
Akiyo Kaneko 321 1.2× 174 0.7× 139 0.8× 82 0.5× 51 0.5× 24 831

Countries citing papers authored by Gerben Hulsegge

Since Specialization
Citations

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

Fields of papers citing papers by Gerben Hulsegge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gerben Hulsegge

This figure shows the co-authorship network connecting the top 25 collaborators of Gerben Hulsegge. A scholar is included among the top collaborators of Gerben Hulsegge 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 Gerben Hulsegge. Gerben Hulsegge is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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