Samir Suweis

82 papers receiving 3.4k citations

Samir Suweis's Hit Papers

The Global Food‐Energy‐Water Nexus 2018 · 517 citations
5170+2+5Years since publication100200300400500

Peers

Samir Suweis
Comparison fields: 5 of 152
  • Water Science and Technology 802
  • Environmental Engineering 673
  • Global and Planetary Change 674
  • Statistical and Nonlinear Physics 341
  • Ecology, Evolution, Behavior and Systematics 520
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David A. Seekell United States
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Citations per year

Countries citing papers authored by Samir Suweis

Since Specialization
Citations

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

Fields of papers citing papers by Samir Suweis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Samir Suweis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Samir Suweis Line = papers co-authored together Samir Suweis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The Global Food‐Energy‐Water Nexus
Hit paper breakdown →
2018517
2 2011243
3 2013184
4 2015176
5 2019172
6 2017122
7 2014117
8 2017112
9 2016104
10 201694
11 201990
12 201389
13 201082
14 201880
15 201267
16 201560
17 202057
18 201156
19 201152
20 202052

About Samir Suweis

Samir Suweis is a scholar working on Sociology and Political Science, Global and Planetary Change, Molecular Biology, Statistical and Nonlinear Physics and Ecology, having authored 89 papers that have together received 3.4k indexed citations. Recurring topics across this work include Evolutionary Game Theory and Cooperation (23 papers), Ecosystem dynamics and resilience (14 papers), Evolution and Genetic Dynamics (13 papers), Plant and animal studies (13 papers), Ecology and Vegetation Dynamics Studies (12 papers), Complex Network Analysis Techniques (11 papers), Neural dynamics and brain function (10 papers) and Functional Brain Connectivity Studies (7 papers). The work is most often cited by research in Water Science and Technology (802 citations), Environmental Engineering (673 citations), Global and Planetary Change (674 citations), Statistical and Nonlinear Physics (341 citations) and Ecology, Evolution, Behavior and Systematics (520 citations). Samir Suweis has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Amos Maritan, Paolo D’Odorico, Jayanth R. Banavar, Andrea Rinaldo, Joel A. Carr, Jacopo Grilli, Jampel Dell’Angelo, I. Rodriguez‐Iturbe, Chengyi Tu and Carole Dalin. Their work appears in journals such as Proceedings of the National Academy of Sciences, Environmental Research Letters, PLoS Computational Biology, Physical review. E and Nature Communications.

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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