Gene D. Wills

44 total papers · 1.0k total citations
36 papers, 832 citations indexed

About

Gene D. Wills is a scholar working on Plant Science, Pollution and Ecology. According to data from OpenAlex, Gene D. Wills has authored 36 papers receiving a total of 832 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Plant Science, 13 papers in Pollution and 6 papers in Ecology. Recurrent topics in Gene D. Wills's work include Weed Control and Herbicide Applications (18 papers), Pesticide and Herbicide Environmental Studies (13 papers) and Botany, Ecology, and Taxonomy Studies (8 papers). Gene D. Wills is often cited by papers focused on Weed Control and Herbicide Applications (18 papers), Pesticide and Herbicide Environmental Studies (13 papers) and Botany, Ecology, and Taxonomy Studies (8 papers). Gene D. Wills collaborates with scholars based in United States and United Kingdom. Gene D. Wills's co-authors include C. G. McWhorter, T. N. Jordan, David R. Shaw, Charles T. Bryson, Krishna N. Reddy, R. E. Hoagland, R. N. Paul, J. A. B. Bass, E. Tipping and Elizabeth Y. Haworth and has published in prestigious journals such as Environmental Pollution, Weed Science and Weed Research.

In The Last Decade

Gene D. Wills

36 papers receiving 720 citations

Author Peers

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

Author						Papers	Cites
Gene D. Wills	747	279	111	109	85	36	832
M. Horowitz	681 0.9×	156 0.6×	69 0.6×	75 0.7×	96 1.1×	53	815
G. R. Stephenson	637 0.9×	329 1.2×	69 0.6×	63 0.6×	99 1.2×	41	968
Paul E. Keeley	845 1.1×	157 0.6×	163 1.5×	74 0.7×	65 0.8×	41	908
Kevin D. Gibson	780 1.0×	237 0.8×	137 1.2×	50 0.5×	93 1.1×	39	1.0k
Robert J. Thullen	749 1.0×	143 0.5×	143 1.3×	66 0.6×	57 0.7×	37	810
Arnold P. Appleby	712 1.0×	370 1.3×	40 0.4×	72 0.7×	105 1.2×	57	938
Kateel G. Shetty	579 0.8×	103 0.4×	115 1.0×	88 0.8×	62 0.7×	24	809
R.J. Field	579 0.8×	130 0.5×	60 0.5×	44 0.4×	95 1.1×	63	720
Calvin G. Messersmith	769 1.0×	277 1.0×	108 1.0×	38 0.3×	144 1.7×	58	908
Thomas Pfleeger	485 0.6×	349 1.3×	68 0.6×	30 0.3×	113 1.3×	40	759

Countries citing papers authored by Gene D. Wills

Since Specialization

Citations

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

Fields of papers citing papers by Gene D. Wills

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gene D. Wills. 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 Gene D. Wills. The network helps show where Gene D. Wills may publish in the future.

Co-authorship network of co-authors of Gene D. Wills

This figure shows the co-authorship network connecting the top 25 collaborators of Gene D. Wills. A scholar is included among the top collaborators of Gene D. Wills 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 Gene D. Wills. Gene D. Wills 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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