Tim Sutton

15 total papers · 694 total citations
5 papers, 506 citations indexed

About

Tim Sutton is a scholar working on Ecology, Ecological Modeling and Computer Networks and Communications. According to data from OpenAlex, Tim Sutton has authored 5 papers receiving a total of 506 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Ecology, 2 papers in Ecological Modeling and 1 paper in Computer Networks and Communications. Recurrent topics in Tim Sutton's work include Species Distribution and Climate Change (2 papers), Scientific Computing and Data Management (1 paper) and Hydrology and Watershed Management Studies (1 paper). Tim Sutton is often cited by papers focused on Species Distribution and Climate Change (2 papers), Scientific Computing and Data Management (1 paper) and Hydrology and Watershed Management Studies (1 paper). Tim Sutton collaborates with scholars based in South Africa, United Kingdom and Brazil. Tim Sutton's co-authors include Ricardo Scachetti Pereira, Renato De Giovanni, Marinez Ferreira de Siqueira, Peter G. Brewer, Dora Ann Lange Canhos, Vanderlei Perez Canhos, Chris Yesson, Frank A. Bisby, Richard J. White and Mikhaila Burgess and has published in prestigious journals such as PLoS ONE, GeoInformatica and African Journal of Aquatic Science.

In The Last Decade

Tim Sutton

4 papers receiving 479 citations

Author Peers

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

Author Last Decade Papers Cites
Tim Sutton 339 203 183 127 83 5 506
Mariya Shcheglovitova 354 1.0× 237 1.2× 146 0.8× 121 1.0× 103 1.2× 10 552
Emad Kaky 380 1.1× 202 1.0× 179 1.0× 139 1.1× 55 0.7× 10 503
A.S.J. van Proosdij 453 1.3× 266 1.3× 254 1.4× 173 1.4× 85 1.0× 6 575
Rachel E. Walsh 234 0.7× 233 1.1× 144 0.8× 159 1.3× 76 0.9× 11 505
Javier Otegui 324 1.0× 247 1.2× 141 0.8× 129 1.0× 62 0.7× 11 479
João Paulo Peixoto Pena Barbosa 196 0.6× 161 0.8× 213 1.2× 220 1.7× 130 1.6× 5 510
Robert Stafford 282 0.8× 257 1.3× 172 0.9× 93 0.7× 88 1.1× 15 533
Daniella Teixeira de Rezende 202 0.6× 167 0.8× 218 1.2× 224 1.8× 131 1.6× 10 521
Dora Ann Lange Canhos 305 0.9× 152 0.7× 130 0.7× 172 1.4× 62 0.7× 19 513
Frans J.A. Kuenen 159 0.5× 208 1.0× 153 0.8× 198 1.6× 97 1.2× 6 483

Countries citing papers authored by Tim Sutton

Since Specialization
Citations

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

Fields of papers citing papers by Tim Sutton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tim Sutton. 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 Tim Sutton. The network helps show where Tim Sutton may publish in the future.

Co-authorship network of co-authors of Tim Sutton

This figure shows the co-authorship network connecting the top 25 collaborators of Tim Sutton. A scholar is included among the top collaborators of Tim Sutton 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 Tim Sutton. Tim Sutton 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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