Samir Suweis

5.3k citations
88 papers · 3.3k indexed · 1 hit paper · h-index 30

Impact in

Papers in

Samir Suweis

81 papers receiving 3.3k citations

Hit Papers

The Global Food‐Energy‐Water Nexus 2018 · 497 citations
4972018202620202023100200300400

Peers

Samir Suweis
Comparison fields: 5 of 151
  • Water Science and Technology 790
  • Environmental Engineering 669
  • Global and Planetary Change 657
  • Statistical and Nonlinear Physics 330
  • Ecology, Evolution, Behavior and Systematics 516
Replace Guy Ziv with:
Guy Ziv United Kingdom
David A. Seekell United States
Bai-Lian Li United States
Stefan C. Dekker Netherlands
Wenxin Zhang China
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Citations per field
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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-authorship network

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
#Work
1 20250
2 20250
3 20240
4 20241
5 20242
6 20242
7 202313
8 20236
9 202212
10 20222
11 20222
12 202235
13 20226
14 202110
15 202020
16 20194
17
Scale-free networks revealed from finite-size scaling
20190
18 20198
19 2017107
20 20165

About Samir Suweis

Samir Suweis is a scholar working on Statistical and Nonlinear Physics, Nature and Landscape Conservation, Global and Planetary Change, Ecological Modeling and Environmental Engineering, having authored 88 papers that have together received 3.3k indexed citations. Recurring topics across this work include Evolutionary Game Theory and Cooperation (23 papers), Ecosystem dynamics and resilience (14 papers), Plant and animal studies (13 papers), Evolution and Genetic Dynamics (13 papers), Ecology and Vegetation Dynamics Studies (12 papers), Complex Network Analysis Techniques (11 papers), Neural dynamics and brain function (10 papers) and Sustainability and Ecological Systems Analysis (7 papers). The work is most often cited by research in Water Science and Technology (790 citations), Environmental Engineering (669 citations), Global and Planetary Change (657 citations), Statistical and Nonlinear Physics (330 citations) and Ecology, Evolution, Behavior and Systematics (516 citations). Samir Suweis has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Amos Maritan, Paolo D’Odorico, Andrea Rinaldo, Jayanth R. Banavar, Joel A. Carr, Jacopo Grilli, Jampel Dell’Angelo, I. Rodriguez‐Iturbe, Carole Dalin and Megan Konar. Their work appears in journals such as Proceedings of the National Academy of Sciences, Environmental Research Letters, PLoS Computational Biology, Nature Communications and Water Resources Research.

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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