Rich Williams

857 citations
13 papers · 334 indexed · h-index 8

Impact in

Papers in

Rich Williams

12 papers receiving 320 citations

Peers

Rich Williams
Comparison fields: 5 of 80
  • Nature and Landscape Conservation 80
  • Ecological Modeling 25
  • Ecology, Evolution, Behavior and Systematics 111
  • Ecology 109
  • Experimental and Cognitive Psychology 50
Replace Katrin Schöps with:
Katrin Schöps Germany
Anne V. Newton United Kingdom
Raziel Davison United States
Louis Liebenberg United States
Yfke van Bergen United Kingdom
Justine E. Cordingley United States
Michael Fisher United States
Joel L. Pick United Kingdom
Astrid S. T. Willener United Kingdom
Yuexin Jiang United States
Rich Williams relative to Katrin Schöps Germany Katrin Schöps's profile →
Citations per field
00.5×3.3×
Katrin Schöps · 1×
Citations per year

Countries citing papers authored by Rich Williams

Since Specialization
Citations

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

Fields of papers citing papers by Rich Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Rich Williams, 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 Rich Williams Line = papers co-authored together Rich Williams links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 20250
2 202018
3 201668
4 20139
5 20132
6 20117
7
Data procurement for enabling scientific workflows: On exploring inter-ant parasitism
20051
8 20057
9 2004155
10
Emergent properties of complex marine systems: a macroecological perspective
20042
11 200450
12 20031
13 198214

About Rich Williams

Rich Williams is a scholar working on Ecological Modeling, Statistical and Nonlinear Physics, Ecology, Evolution, Behavior and Systematics, Nature and Landscape Conservation and Computer Vision and Pattern Recognition, having authored 13 papers that have together received 334 indexed citations. Recurring topics across this work include Plant and animal studies (6 papers), Complex Network Analysis Techniques (4 papers), Species Distribution and Climate Change (3 papers), Data Visualization and Analytics (3 papers), Ecology and Vegetation Dynamics Studies (3 papers), Evolutionary Game Theory and Cooperation (2 papers), Big Data and Business Intelligence (1 paper) and Animal Ecology and Behavior Studies (1 paper). The work is most often cited by research in Nature and Landscape Conservation (80 citations), Ecological Modeling (25 citations), Ecology, Evolution, Behavior and Systematics (111 citations), Ecology (109 citations) and Experimental and Cognitive Psychology (50 citations). Rich Williams has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Neo D. Martinez, Eric L. Berlow, Mark A. Runco, Sanghyuk Yoon, Jennifer A. Dunne, Lucas Joppa, Brian J. Enquist, Christopher J. Lortie, Leah R. Gerber and Halley E. Froehlich. Their work appears in journals such as Scientific Reports, BioScience, Journal of Chromatographic Science, Methods in Ecology and Evolution and The European Physical Journal B.

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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