Jaap van Schaik

639 citations
27 papers · 387 indexed · h-index 11

Jaap van Schaik

25 papers receiving 377 citations

Peers

Jaap van Schaik
Comparison fields: 5 of 47
  • Developmental Biology 63
  • Ecological Modeling 64
  • Ecology, Evolution, Behavior and Systematics 260
  • Ecology 197
  • Parasitology 29
Replace José Juan Flores‐Martínez with:
José Juan Flores‐Martínez Mexico
Douglas G. Barron United States
Balaji Chattopadhyay India
Kritika M. Garg India
Michael R. Gannon United States
Nicola Markus Australia
Masaoki Takagi Japan
Raoul F. H. Ribot Australia
Dana P. Seidel United States
Marienne S. de Villiers South Africa
Jaap van Schaik relative to José Juan Flores‐Martínez Mexico José Juan Flores‐Martínez's profile →
Citations per field
00.5×1.5×1.9×
José Juan Flores‐Martínez · 1×
Citations per year

Countries citing papers authored by Jaap van Schaik

Since Specialization
Citations

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

Fields of papers citing papers by Jaap van Schaik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jaap van Schaik. 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 Jaap van Schaik. The network helps show where Jaap van Schaik may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20242
4 20240
5 20237
6 20234
7 20237
8 20238
9 20234
10 20239
11 202236
12 20228
13 20217
14 201616
15 201546
16 201426
17 20131
18 201160
19 20112
20 201057

About Jaap van Schaik

Jaap van Schaik is a scholar working on Developmental Biology, Ecological Modeling and Ecology, Evolution, Behavior and Systematics, having authored 27 papers that have together received 387 indexed citations. Recurring topics across this work include Bat Biology and Ecology Studies (20 papers), Species Distribution and Climate Change (8 papers), Animal Vocal Communication and Behavior (7 papers), Viral Infections and Vectors (5 papers), Animal Behavior and Reproduction (5 papers), Wildlife Ecology and Conservation (5 papers), Animal Ecology and Behavior Studies (4 papers) and Avian ecology and behavior (2 papers). The work is most often cited by research in Developmental Biology (63 citations), Ecological Modeling (64 citations) and Ecology, Evolution, Behavior and Systematics (260 citations). Jaap van Schaik has collaborated with scholars based in Germany, Belgium and Netherlands. Frequent co-authors include Gerald Kerth, Daan Dekeukeleire, René Janssen, Jørn Olsen, James A. Coyer, Galice Hoarau, Anne‐Jifke Haarsma, Thijs Bosch, Pepijn Luijckx and Jasja Dekker. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Global Change Biology.

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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2026