Jonathan M. Gomes-Selman
- Water Science and Technology top 10%
- Artificial Intelligence
- Global and Planetary Change
- Ocean Engineering
- Nature and Landscape Conservation
- Co-authors
- Rex YingJure LeskovecJiaxuan YouQinru ShiYexiang XueCarla P. GomesAlexander S. FleckerRoosevelt García‐Villacorta
- Topics
- Water-Energy-Food Nexus Studies (3 papers)Water resources management and optimization (3 papers)Complex Network Analysis Techniques (1 paper)
- Journals
- Nature CommunicationsProceedings of the AAAI Conference on Artificial Intelligence2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA)
- Partner nations
- United StatesBrazil
In The Last Decade
Jonathan M. Gomes-Selman
5 papers receiving 234 citations
Peers
Comparison fields: 5 of 63
- Water Science and Technology 78
- Artificial Intelligence 71
- Global and Planetary Change 43
- Ocean Engineering 41
- Nature and Landscape Conservation 39
Countries citing papers authored by Jonathan M. Gomes-Selman
This map shows the geographic impact of Jonathan M. Gomes-Selman'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 Jonathan M. Gomes-Selman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan M. Gomes-Selman more than expected).
Fields of papers citing papers by Jonathan M. Gomes-Selman
This network shows the impact of papers produced by Jonathan M. Gomes-Selman. 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 Jonathan M. Gomes-Selman. The network helps show where Jonathan M. Gomes-Selman may publish in the future.
Co-authorship network of co-authors of Jonathan M. Gomes-Selman
This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan M. Gomes-Selman. A scholar is included among the top collaborators of Jonathan M. Gomes-Selman 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 Jonathan M. Gomes-Selman. Jonathan M. Gomes-Selman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 82 | |
| 3 | 152 | |
| 4 | 1 | |
| 5 | 11 |
About Jonathan M. Gomes-Selman
Jonathan M. Gomes-Selman is a scholar working on Developmental Biology, Water Science and Technology and Ocean Engineering, having authored 5 papers that have together received 247 indexed citations. Recurring topics across this work include Water-Energy-Food Nexus Studies (3 papers), Water resources management and optimization (3 papers) and Complex Network Analysis Techniques (1 paper). The work is most often cited by research in Water Science and Technology (78 citations), Nature and Landscape Conservation (39 citations) and Ocean Engineering (41 citations). Jonathan M. Gomes-Selman has collaborated with scholars based in United States and Brazil. Frequent co-authors include Rex Ying, Jure Leskovec, Jiaxuan You, Qinru Shi, Yexiang Xue, Carla P. Gomes, Alexander S. Flecker, Roosevelt García‐Villacorta, Xiaojian Wu and Suresh A. Sethi. Their work appears in journals such as Nature Communications, Proceedings of the AAAI Conference on Artificial Intelligence and 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA).
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.