Jay K. Willis

806 citations
20 papers · 618 · h-index 13

Impact in

  • Ecology top 5%
    • Avian ecology and behavior
    • Marine animal studies overview
    • Wildlife Ecology and Conservation
    • Coral and Marine Ecosystems Studies

Papers in

    • Marine animal studies overview 7
    • Avian ecology and behavior 4
    • Coral and Marine Ecosystems Studies 2
    • Marine and fisheries research 9
    • Marine Bivalve and Aquaculture Studies 3

Jay K. Willis

19 papers receiving 583 citations

Peers

Jay K. Willis
Comparison fields: 5 of 95
  • Ecology 378
  • Developmental Biology 31
  • Nature and Landscape Conservation 143
  • Global and Planetary Change 239
  • Ecological Modeling 47
Replace Jonathan J. Dale with:
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Jay K. Willis relative to Jonathan J. Dale United States Jonathan J. Dale's profile →
Citations per field
00.5×2×3×4×4.7×
Jonathan J. Dale · 1×
Citations per year

Countries citing papers authored by Jay K. Willis

Since Specialization
Citations

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

Fields of papers citing papers by Jay K. Willis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jay K. Willis. 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 Jay K. Willis. The network helps show where Jay K. Willis may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2009211
2 201158
3 200643
4 200839
5 200938
6 202138
7 201930
8 200725
9 201124
10
Could whales have maintained a high abundance of krill
200723
11 201422
12 201420
13 201016
14 200810
15 201010
16 20227
17 20132
18 20131
19 20211
20
Mississippi Kids Count: High School Graduation Rates
20100

About Jay K. Willis

Jay K. Willis is a scholar working on Ecology, Global and Planetary Change, Nature and Landscape Conservation, Oceanography and Developmental Biology, having authored 20 papers that have together received 618 indexed citations. Recurring topics across this work include Marine and fisheries research (9 papers), Marine animal studies overview (7 papers), Fish Ecology and Management Studies (5 papers), Avian ecology and behavior (4 papers), Marine Bivalve and Aquaculture Studies (3 papers), Oceanographic and Atmospheric Processes (2 papers), Marine and coastal ecosystems (2 papers) and Coral and Marine Ecosystems Studies (2 papers). The work is most often cited by research in Ecology (378 citations), Developmental Biology (31 citations), Nature and Landscape Conservation (143 citations), Global and Planetary Change (239 citations) and Ecological Modeling (47 citations). Jay K. Willis has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Alistair James Hobday, Tim Guilford, Robin Freeman, Matthew J. Collett, Richard A. Phillips, Christopher M. Perrins, Jessica Meade, Stephen John Roberts, Frank Schreiber and Robert M. J. Jacobs. Their work appears in journals such as Ecological Modelling, Fisheries Research, Methods in Ecology and Evolution, Communications Biology and Proceedings of the Royal Society B Biological Sciences.

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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