Katherine S. Willis

559 total citations
8 papers, 446 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 446 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 Land Use and Ecosystem Services (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 Land Use and Ecosystem Services (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, Thomas W. Gillespie, Park Williams, James R. Holmquist, Robert K. Booth and David W. Beilman 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 435 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Katherine S. Willis United States	7	307	231	106	94	43	8	446
Malak Henchiri China	12	335 1.1×	200 0.9×	105 1.0×	72 0.8×	37 0.9×	22	486
Beth Cole United Kingdom	8	276 0.9×	244 1.1×	79 0.7×	114 1.2×	32 0.7×	12	531
Meghan Halabisky United States	11	283 0.9×	251 1.1×	55 0.5×	125 1.3×	48 1.1×	19	449
Joseph P. Spruce United States	11	305 1.0×	298 1.3×	73 0.7×	131 1.4×	81 1.9×	29	487
Zhaoqin Li Canada	13	241 0.8×	288 1.2×	149 1.4×	155 1.6×	40 0.9×	26	522
Niti B. Mishra United States	13	335 1.1×	298 1.3×	140 1.3×	184 2.0×	75 1.7×	20	549
S. P. Abercrombie United States	4	425 1.4×	303 1.3×	179 1.7×	164 1.7×	52 1.2×	11	608
Vahid Nasiri Iran	9	200 0.7×	223 1.0×	71 0.7×	157 1.7×	47 1.1×	15	407
Mengjing Hou China	12	215 0.7×	299 1.3×	92 0.9×	130 1.4×	35 0.8×	22	471
Peter Selsam Germany	10	218 0.7×	173 0.7×	39 0.4×	85 0.9×	67 1.6×	21	391

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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8 of 8 papers shown

Dong, Chunyu, Glen M. MacDonald, Katherine S. Willis, et al.. (2019). Vegetation Responses to 2012–2016 Drought in Northern and Southern California. Geophysical Research Letters. 46(7). 3810–3821. 73 indexed citations

Brown, Lauren N., Jordan A. Rosencranz, Katherine S. Willis, Richard F. Ambrose, & Glen M. MacDonald. (2019). Multiple Stressors Influence Salt Marsh Recovery after a Spring Fire at Mugu Lagoon, CA. Wetlands. 40(4). 757–769. 6 indexed citations

Okin, Gregory S., Chunyu Dong, Katherine S. Willis, Thomas W. Gillespie, & Glen M. MacDonald. (2018). The Impact of Drought on Native Southern California Vegetation: Remote Sensing Analysis Using MODIS‐Derived Time Series. Journal of Geophysical Research Biogeosciences. 123(6). 1927–1939. 38 indexed citations

Gillespie, Thomas W., Stacey Ostermann‐Kelm, Chunyu Dong, et al.. (2018). Monitoring changes of NDVI in protected areas of southern California. Ecological Indicators. 88. 485–494. 79 indexed citations

Gillespie, Thomas W., Katherine S. Willis, Stacey Ostermann‐Kelm, et al.. (2017). Inventorying and Monitoring Nighttime Light Distribution and Dynamics in the Mediterranean Coast Network of Southern California. Natural Areas Journal. 37(3). 350–360. 3 indexed citations

Willis, Katherine S., et al.. (2015). Peatland paleohydrology in the southern West Siberian Lowlands: Comparison of multiple testate amoeba transfer functions, sites, and Sphagnum δ¹³C values. The Holocene. 25(9). 1425–1436. 15 indexed citations

Willis, Katherine S.. (2015). Remote sensing change detection for ecological monitoring in United States protected areas. Biological Conservation. 182. 233–242. 206 indexed citations

Gillespie, Thomas W., Katherine S. Willis, & Stacey Ostermann‐Kelm. (2014). Spaceborne remote sensing of the world’s protected areas. Progress in Physical Geography Earth and Environment. 39(3). 388–404. 26 indexed citations

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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