Nathan Pollesch

1.1k citations
12 papers · 816 · h-index 9

Impact in

Papers in

Nathan Pollesch

12 papers receiving 799 citations

Peers

Nathan Pollesch
Comparison fields: 5 of 120
  • Health, Toxicology and Mutagenesis 240
  • Small Animals 91
  • Chemical Health and Safety 8
  • Pollution 117
  • Computational Theory and Mathematics 164
Replace Gregory J. Carr with:
Gregory J. Carr United States
Johannes W. Kruisselbrink Netherlands
Ted W. Simon United States
Thomas H. Hutchinson United Kingdom
Theo P. Traas Netherlands
Robert L. Sielken United States
Kim Z. Travis United Kingdom
Tessa E. Pronk Netherlands
Marlene Ågerstrand Sweden
Lingjuan Li China
Nathan Pollesch relative to Gregory J. Carr United States Gregory J. Carr's profile →
Citations per field
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Citations per year

Countries citing papers authored by Nathan Pollesch

Since Specialization
Citations

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

Fields of papers citing papers by Nathan Pollesch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2018182
2 2016152
3 2019132
4 2018117
5 201580
6 202040
7 201736
8 201935
9 201928
10 20216
11 20224
12
Mathematical Approaches to Sustainability Assessment and Protocol Development for the Bioenergy Sustainability Target Assessment Resource (Bio-STAR)
20164

About Nathan Pollesch

Nathan Pollesch is a scholar working on Computational Theory and Mathematics, Health, Toxicology and Mutagenesis, Nature and Landscape Conservation, Ecology, Evolution, Behavior and Systematics and Ecology, having authored 12 papers that have together received 816 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (4 papers), Environmental Toxicology and Ecotoxicology (3 papers), Fish Ecology and Management Studies (2 papers), Sustainable Development and Environmental Policy (2 papers), Pesticide and Herbicide Environmental Studies (1 paper), Agricultural risk and resilience (1 paper), Risk and Safety Analysis (1 paper) and Sustainable Building Design and Assessment (1 paper). The work is most often cited by research in Health, Toxicology and Mutagenesis (240 citations), Small Animals (91 citations), Chemical Health and Safety (8 citations), Pollution (117 citations) and Computational Theory and Mathematics (164 citations). Nathan Pollesch has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Virginia H. Dale, Jason M. O’Brien, Daniel L. Villeneuve, Michelle Angrish, Marie Fortin, Xiaowei Zhang, Dries Knapen, Ioanna Katsiadaki, Luigi Margiotta‐Casaluci and Marc Léonard. Their work appears in journals such as Environmental Toxicology and Chemistry, Integrated Environmental Assessment and Management, Ecological Economics, Risk Analysis and Ecological Modelling.

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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