Cor Dijkstra

6.9k citations
76 papers · 5.5k · h-index 42

Impact in

Papers in

Cor Dijkstra

75 papers receiving 4.9k citations

Peers

Cor Dijkstra
Comparison fields: 5 of 108
  • Ecology, Evolution, Behavior and Systematics 4.0k
  • Ecology 3.8k
  • Parasitology 887
  • Developmental Biology 201
  • Aging 89
Replace András Liker with:
András Liker Hungary
Alexander V. Badyaev United States
Oliver P. Love Canada
Alexander S. Kitaysky United States
Hugh Drummond Mexico
Richard Griffiths United Kingdom
Ivar Folstad Norway
Anne Peters Germany
Manuela Caprioli Italy
Rebecca M. Kilner United Kingdom
Cor Dijkstra relative to András Liker Hungary András Liker's profile →
Citations per field
00.5×1.5×2.3×
András Liker · 1×
Citations per year

Countries citing papers authored by Cor Dijkstra

Since Specialization
Citations

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

Fields of papers citing papers by Cor Dijkstra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996452
2 1990340
3
Food supply and the annual timing of avian reproduction
1989320
4 1996258
5 1990243
6 2014229
7 1990202
8 2000165
9 2001163
10 1996159
11 1981156
12 2005153
13 2003135
14 2002124
15 2005122
16 2005121
17 1989120
18 2001120
19 1982120
20 201491

About Cor Dijkstra

Cor Dijkstra is a scholar working on Ecology, Ecology, Evolution, Behavior and Systematics, Parasitology, Genetics and Gender Studies, having authored 76 papers that have together received 5.5k indexed citations. Recurring topics across this work include Animal Behavior and Reproduction (58 papers), Avian ecology and behavior (55 papers), Plant and animal studies (22 papers), Bird parasitology and diseases (15 papers), Wildlife Ecology and Conservation (14 papers), Animal Ecology and Behavior Studies (14 papers), Demographic Trends and Gender Preferences (4 papers) and Economic and Environmental Valuation (2 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (4.0k citations), Ecology (3.8k citations), Parasitology (887 citations), Developmental Biology (201 citations) and Aging (89 citations). Cor Dijkstra has collaborated with scholars based in Netherlands, Germany and United States. Frequent co-authors include Serge Daan, Ton G. G. Groothuis, Alexandre Roulin, Theo Meijer, Wendt Müller, R. E. Griffiths, Corine M. Eising, Anne‐Lyse Ducrest, Dirkjan Masman and C.M. Deerenberg. Their work appears in journals such as Proceedings of the Royal Society B Biological Sciences, Behavioral Ecology, Behavioral Ecology and Sociobiology, Ardea and Journal of Animal Ecology.

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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