Thomas M. Massie

9 total papers · 1.2k total citations
6 papers, 757 citations indexed

About

Thomas M. Massie is a scholar working on Ecology, Genetics and Computer Networks and Communications. According to data from OpenAlex, Thomas M. Massie has authored 6 papers receiving a total of 757 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Ecology, 3 papers in Genetics and 2 papers in Computer Networks and Communications. Recurrent topics in Thomas M. Massie's work include Evolution and Genetic Dynamics (3 papers), Slime Mold and Myxomycetes Research (2 papers) and Nonlinear Dynamics and Pattern Formation (2 papers). Thomas M. Massie is often cited by papers focused on Evolution and Genetic Dynamics (3 papers), Slime Mold and Myxomycetes Research (2 papers) and Nonlinear Dynamics and Pattern Formation (2 papers). Thomas M. Massie collaborates with scholars based in Switzerland, Germany and United Kingdom. Thomas M. Massie's co-authors include Frank Pennekamp, Mikael Pontarp, Owen L. Petchey, Florian Altermatt, Gian Marco Palamara, Elvira Mächler, Emanuel A. Fronhofer, Aurélie Garnier, Roman Alther and Suzanne Greene and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Thomas M. Massie

6 papers receiving 752 citations

Hit Papers

Biodiversity increases an... 2018 2026 2020 2023 2018 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Thomas M. Massie 348 249 232 164 164 6 757
Gian Marco Palamara 305 0.9× 248 1.0× 250 1.1× 174 1.1× 164 1.0× 10 736
Deirdre McClean 307 0.9× 225 0.9× 205 0.9× 212 1.3× 64 0.4× 7 701
Jill McGrady‐Steed 433 1.2× 175 0.7× 376 1.6× 267 1.6× 74 0.5× 7 805
Fabrizio Spagnolo 431 1.2× 225 0.9× 277 1.2× 246 1.5× 447 2.7× 8 846
Aurélie Garnier 336 1.0× 219 0.9× 250 1.1× 179 1.1× 111 0.7× 21 811
Elaine K. Harding 483 1.4× 279 1.1× 450 1.9× 258 1.6× 103 0.6× 11 891
Katherine Scranton 233 0.7× 302 1.2× 146 0.6× 141 0.9× 92 0.6× 11 720
Shyama Pagad 364 1.0× 150 0.6× 209 0.9× 200 1.2× 157 1.0× 12 662
Jennifer Mattei 331 1.0× 134 0.5× 309 1.3× 236 1.4× 95 0.6× 14 729
Rosa Agudo 436 1.3× 232 0.9× 231 1.0× 229 1.4× 348 2.1× 9 825

Countries citing papers authored by Thomas M. Massie

Since Specialization
Citations

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

Fields of papers citing papers by Thomas M. Massie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas M. Massie. 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 Thomas M. Massie. The network helps show where Thomas M. Massie may publish in the future.

Co-authorship network of co-authors of Thomas M. Massie

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas M. Massie. A scholar is included among the top collaborators of Thomas M. Massie 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 Thomas M. Massie. Thomas M. Massie 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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