David M. Marsh

3.0k citations
44 papers · 2.2k indexed · 1 hit paper · h-index 23

Impact in

Papers in

David M. Marsh

42 papers receiving 2.0k citations

Hit Papers

Metapopulation Dynamics and Amphibian Conservation 2001 · 566 citations
5662001202620092017100200300400500

Peers

David M. Marsh
Comparison fields: 5 of 95
  • Ecological Modeling 710
  • Global and Planetary Change 1.4k
  • Nature and Landscape Conservation 644
  • Ecology 1.2k
  • Developmental Biology 93
Replace Lee A. Fitzgerald with:
Lee A. Fitzgerald United States
Lincoln Fishpool United Kingdom
James Q. Radford Australia
Gustavo A. Llorente Spain
Tim R. B. Davenport United Kingdom
Joseph H. K. Pechmann United States
Sergi Herrando Spain
Michael Mühlenberg Germany
Erica M. Sampaio Brazil
Norbert J. Cordeiro United States
David M. Marsh relative to Lee A. Fitzgerald United States Lee A. Fitzgerald's profile →
Citations per field
00.5×1.5×
Lee A. Fitzgerald · 1×
Citations per year

Countries citing papers authored by David M. Marsh

Since Specialization
Citations

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

Fields of papers citing papers by David M. Marsh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David M. Marsh. 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 David M. Marsh. The network helps show where David M. Marsh may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20231
3 20232
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5 20203
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7 201796
8 20161
9 20131
10 201250
11 20098
12 2008152
13 200694
14 200222
15 200183
16 200011
17 200041
18 1997101
19 19952
20 19848

About David M. Marsh

David M. Marsh is a scholar working on Ecological Modeling, Global and Planetary Change, Nature and Landscape Conservation, Ecology and Ecology, Evolution, Behavior and Systematics, having authored 44 papers that have together received 2.2k indexed citations. Recurring topics across this work include Amphibian and Reptile Biology (30 papers), Species Distribution and Climate Change (13 papers), Wildlife Ecology and Conservation (11 papers), Ecology and Vegetation Dynamics Studies (11 papers), Animal Behavior and Reproduction (9 papers), Wildlife-Road Interactions and Conservation (9 papers), Genetic diversity and population structure (5 papers) and Plant and animal studies (3 papers). The work is most often cited by research in Ecological Modeling (710 citations), Global and Planetary Change (1.4k citations), Nature and Landscape Conservation (644 citations), Ecology (1.2k citations) and Developmental Biology (93 citations). David M. Marsh has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Peter C. Trenham, Noelle G. Beckman, Peter B. Pearman, Paul R. Cabe, Marco Goicochea, Eric Fegraus, Robert B. Page, Susan Harrison, Vanessa M. Adams and Brendan Borrell. Their work appears in journals such as Conservation Biology, Oryx, Journal of Herpetology, Ecology and Biological Conservation.

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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