Jeffrey L. Willers

52 total papers · 810 total citations
43 papers, 559 citations indexed

About

Jeffrey L. Willers is a scholar working on Plant Science, Ecology and Environmental Engineering. According to data from OpenAlex, Jeffrey L. Willers has authored 43 papers receiving a total of 559 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Plant Science, 12 papers in Ecology and 8 papers in Environmental Engineering. Recurrent topics in Jeffrey L. Willers's work include Remote Sensing in Agriculture (11 papers), Remote Sensing and LiDAR Applications (6 papers) and Smart Agriculture and AI (5 papers). Jeffrey L. Willers is often cited by papers focused on Remote Sensing in Agriculture (11 papers), Remote Sensing and LiDAR Applications (6 papers) and Smart Agriculture and AI (5 papers). Jeffrey L. Willers collaborates with scholars based in United States, Bangladesh and China. Jeffrey L. Willers's co-authors include Johnie N. Jenkins, James M. McKinion, R. G. Luttrell, Terence L. Wagner, S. Ramaswamy, George A. Milliken, John J. Read, Nur Ahmed, M. P. Ali and Patrick D. Gerard and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Remote Sensing.

In The Last Decade

Jeffrey L. Willers

41 papers receiving 509 citations

Author Peers

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

Author Last Decade Papers Cites
Jeffrey L. Willers 271 158 133 103 77 43 559
Fabrice Vinatier 223 0.8× 173 1.1× 177 1.3× 66 0.6× 177 2.3× 38 613
Randall Weisz 376 1.4× 178 1.1× 139 1.0× 175 1.7× 51 0.7× 19 663
Bester Tawona Mudereri 169 0.6× 189 1.2× 73 0.5× 70 0.7× 94 1.2× 43 564
Xiaofei Li 166 0.6× 120 0.8× 33 0.2× 67 0.7× 80 1.0× 35 680
Santanu Kumar Bal 283 1.0× 88 0.6× 142 1.1× 41 0.4× 180 2.3× 74 642
E. C. Martin 285 1.1× 88 0.6× 86 0.6× 72 0.7× 134 1.7× 58 642
Erja Huusela-Veistola 296 1.1× 128 0.8× 137 1.0× 23 0.2× 187 2.4× 41 636
Luis G. García‐Montero 266 1.0× 130 0.8× 111 0.8× 99 1.0× 79 1.0× 45 577
Jean Villerd 215 0.8× 160 1.0× 63 0.5× 26 0.3× 126 1.6× 37 623
Vahid Etemad 203 0.7× 163 1.0× 108 0.8× 60 0.6× 116 1.5× 89 686

Countries citing papers authored by Jeffrey L. Willers

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey L. Willers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey L. Willers. 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 Jeffrey L. Willers. The network helps show where Jeffrey L. Willers may publish in the future.

Co-authorship network of co-authors of Jeffrey L. Willers

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey L. Willers. A scholar is included among the top collaborators of Jeffrey L. Willers 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 Jeffrey L. Willers. Jeffrey L. Willers 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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