Michael J. Plank

7.1k citations
152 papers · 4.3k indexed · 1 hit paper · h-index 32

Impact in

Papers in

Michael J. Plank

143 papers receiving 4.1k citations

Hit Papers

Random walk models in biology 2008 · 972 citations
9722008202620142020250500750

Peers

Michael J. Plank
Comparison fields: 5 of 180
  • Modeling and Simulation 790
  • Nature and Landscape Conservation 692
  • Ecological Modeling 176
  • Ecology 997
  • Global and Planetary Change 723
Replace Nanako Shigesada with:
Nanako Shigesada Japan
Frederic Bartumeus Spain
Alex James New Zealand
Edward A. Codling United Kingdom
Lewi Stone Israel
Bernd Blasius Germany
Tom Britton Sweden
Joshua B. Plotkin United States
Leah Edelstein‐Keshet Canada
John Ward United Kingdom
Michael J. Plank relative to Nanako Shigesada Japan Nanako Shigesada's profile →
Citations per field
00.5×
Nanako Shigesada · 1×
Citations per year

Countries citing papers authored by Michael J. Plank

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Plank

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael J. Plank. 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 Michael J. Plank. The network helps show where Michael J. Plank may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20252
3 20250
4 20250
5 20245
6 20241
7 20224
8 20228
9 202218
10 202224
11 20222
12 202112
13 202173
14 202014
15 202012
16 20208
17 201814
18 201820
19 2012167
20
Random walk models in biology
Hit paper breakdown →
2008972

About Michael J. Plank

Michael J. Plank is a scholar working on Modeling and Simulation, Nature and Landscape Conservation, Ecological Modeling, Global and Planetary Change and Ecology, having authored 152 papers that have together received 4.3k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (34 papers), Evolution and Genetic Dynamics (22 papers), Diffusion and Search Dynamics (21 papers), Marine and fisheries research (20 papers), Mathematical Biology Tumor Growth (18 papers), Mathematical and Theoretical Epidemiology and Ecology Models (18 papers), Ecology and Vegetation Dynamics Studies (12 papers) and Fish Ecology and Management Studies (10 papers). The work is most often cited by research in Modeling and Simulation (790 citations), Nature and Landscape Conservation (692 citations), Ecological Modeling (176 citations), Ecology (997 citations) and Global and Planetary Change (723 citations). Michael J. Plank has collaborated with scholars based in New Zealand, United Kingdom and Australia. Frequent co-authors include Edward A. Codling, Simon Benhamou, Alex James, Richard Law, Jeppe Kolding, B. D. Sleeman, Jonathan W. Pitchford, Matthew J. Simpson, Rachelle N. Binny and Andrew M. Edwards. Their work appears in journals such as Journal of The Royal Society Interface, Bulletin of Mathematical Biology, Royal Society Open Science, Theoretical Ecology and Fish and Fisheries.

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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