Katherine S. Willis

19 total papers · 554 total citations
8 papers, 439 citations indexed

About

Katherine S. Willis is a scholar working on Ecology, Global and Planetary Change and Ecological Modeling. According to data from OpenAlex, Katherine S. Willis has authored 8 papers receiving a total of 439 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Ecology, 7 papers in Global and Planetary Change and 2 papers in Ecological Modeling. Recurrent topics in Katherine S. Willis's work include Remote Sensing in Agriculture (5 papers), Species Distribution and Climate Change (2 papers) and Plant Water Relations and Carbon Dynamics (2 papers). Katherine S. Willis is often cited by papers focused on Remote Sensing in Agriculture (5 papers), Species Distribution and Climate Change (2 papers) and Plant Water Relations and Carbon Dynamics (2 papers). Katherine S. Willis collaborates with scholars based in United States and United Kingdom. Katherine S. Willis's co-authors include Glen M. MacDonald, Chunyu Dong, Gregory S. Okin, Thomas W. Gillespie, Stacey Ostermann‐Kelm, Park Williams, Thomas W. Gillespie, Robert K. Booth, David W. Beilman and James R. Holmquist and has published in prestigious journals such as Geophysical Research Letters, Biological Conservation and Ecological Indicators.

In The Last Decade

Katherine S. Willis

8 papers receiving 432 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Katherine S. Willis 306 229 105 93 43 8 439
Daniel G. Sorenson 265 0.9× 223 1.0× 74 0.7× 118 1.3× 32 0.7× 8 450
Trond Simensen 261 0.9× 171 0.7× 86 0.8× 93 1.0× 40 0.9× 16 445
Wolter Arnberg 210 0.7× 188 0.8× 73 0.7× 114 1.2× 27 0.6× 19 433
Reshma M. Ramachandran 265 0.9× 129 0.6× 48 0.5× 69 0.7× 35 0.8× 8 387
Vahid Nasiri 196 0.6× 219 1.0× 68 0.6× 153 1.6× 47 1.1× 15 392
Manfred Keil 265 0.9× 150 0.7× 81 0.8× 132 1.4× 39 0.9× 18 433
Mu Xia 288 0.9× 225 1.0× 98 0.9× 118 1.3× 21 0.5× 17 465
Meghan Halabisky 281 0.9× 248 1.1× 55 0.5× 124 1.3× 48 1.1× 19 444
Yunden Bayarjargal 338 1.1× 225 1.0× 117 1.1× 118 1.3× 18 0.4× 7 477
John Iiames 207 0.7× 271 1.2× 101 1.0× 138 1.5× 28 0.7× 18 446

Countries citing papers authored by Katherine S. Willis

Since Specialization
Citations

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

Fields of papers citing papers by Katherine S. Willis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katherine S. Willis

This figure shows the co-authorship network connecting the top 25 collaborators of Katherine S. Willis. A scholar is included among the top collaborators of Katherine S. Willis based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Katherine S. Willis. Katherine S. Willis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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