Kaitlin Stack Whitney

25 papers receiving 283 citations

Peers

Kaitlin Stack Whitney
Comparison fields: 5 of 87
  • Insect Science 81
  • Ecological Modeling 26
  • Information Systems and Management 33
  • Statistics, Probability and Uncertainty 29
  • Ecology, Evolution, Behavior and Systematics 69
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Alexandra M. Thorn United States
Amelia S. C. Hood United Kingdom
Andrew N. Stillman United States
Ko Konno United Kingdom
Sebastian Palmas United States
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Caterina Pisani Italy
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Citations per field
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Citations per year

Countries citing papers authored by Kaitlin Stack Whitney

Since Specialization
Citations

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

Fields of papers citing papers by Kaitlin Stack Whitney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kaitlin Stack Whitney. 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 Kaitlin Stack Whitney. The network helps show where Kaitlin Stack Whitney may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201059
2 201952
3 201952
4 201624
5 201616
6 202114
7 201512
8 201610
9 20198
10 20216
11 20225
12 20205
13 20214
14 20204
15 20234
16 20204
17 20223
18 20222
19 20242
20 20182

About Kaitlin Stack Whitney

Kaitlin Stack Whitney is a scholar working on Ecological Modeling, Ecology, Evolution, Behavior and Systematics, Insect Science, Ecology and Social Psychology, having authored 25 papers that have together received 293 indexed citations. Recurring topics across this work include Species Distribution and Climate Change (6 papers), Insect-Plant Interactions and Control (5 papers), Plant and animal studies (5 papers), Animal and Plant Science Education (3 papers), Insect and Arachnid Ecology and Behavior (2 papers), Environmental DNA in Biodiversity Studies (2 papers), Conferences and Exhibitions Management (2 papers) and Research Data Management Practices (2 papers). The work is most often cited by research in Insect Science (81 citations), Ecological Modeling (26 citations), Information Systems and Management (33 citations), Statistics, Probability and Uncertainty (29 citations) and Ecology, Evolution, Behavior and Systematics (69 citations). Kaitlin Stack Whitney has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Megan E. O’Rourke, Alison G. Power, Timothy D. Meehan, Claudio Gratton, Christopher J. Kucharik, Philip A. Townsend, Carl N. Keiser, Auriel M. V. Fournier, Kevin R. Burgio and Timothée Poisot. Their work appears in journals such as Ecological Applications, Water Resources Research, Frontiers in Ecology and the Environment, Journal of Children and Media and Ecological Informatics.

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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