Jay Willis

17 papers receiving 540 citations

Peers

Jay Willis
Comparison fields: 5 of 94
  • Developmental Biology 30
  • Ecology 345
  • Nature and Landscape Conservation 136
  • Ecological Modeling 44
  • Global and Planetary Change 216
Replace Mandy A. M. Kierspel with:
Mandy A. M. Kierspel France
Anthony W. J. Bicknell United Kingdom
Charles A. Bost France
Karin H. Olsson Sweden
Jürgen Weissenberger Germany
H Weimerskirch France
Tiphaine Jeanniard du Dot France
Manfred R. Enstipp France
Ben Dean United Kingdom
Shirel R. Kahane‐Rapport United States
Jay Willis relative to Mandy A. M. Kierspel France Mandy A. M. Kierspel's profile →
Citations per field
00.5×5.1×
Mandy A. M. Kierspel · 1×
Citations per year

Countries citing papers authored by Jay Willis

Since Specialization
Citations

This map shows the geographic impact of Jay 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 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 Willis more than expected).

Fields of papers citing papers by Jay Willis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2009201
2 201156
3 200642
4 200838
5 200936
6 202132
7 201125
8 200724
9 201922
10
Could whales have maintained a high abundance of krill
200720
11 201420
12 201416
13 201010
14 200810
15 20226
16 20132
17 20211
18
Mississippi Kids Count: High School Graduation Rates
20100

About Jay Willis

Jay Willis is a scholar working on Nature and Landscape Conservation, Developmental Biology, Ecology, Global and Planetary Change and Oceanography, having authored 18 papers that have together received 561 indexed citations. Recurring topics across this work include Marine and fisheries research (8 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), Marine and coastal ecosystems (2 papers), Oceanographic and Atmospheric Processes (2 papers) and Polymer Surface Interaction Studies (1 paper). The work is most often cited by research in Developmental Biology (30 citations), Ecology (345 citations), Nature and Landscape Conservation (136 citations), Ecological Modeling (44 citations) and Global and Planetary Change (216 citations). Jay Willis has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Alistair J. Hobday, Tim Guilford, Robin Freeman, Richard A. Phillips, Jessica Meade, Christopher M. Perrins, Stephen Roberts, M. J. Collett, Frank Schreiber and Robert M. J. Jacobs. Their work appears in journals such as Ecological Modelling, Scientific Reports, Behavioral Ecology and Sociobiology, Proceedings of the Royal Society B Biological Sciences and Journal of Biogeography.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026