Martin Kellman

3.2k citations
70 papers · 2.5k · h-index 31

Impact in

Papers in

Martin Kellman

70 papers receiving 2.0k citations

Peers

Martin Kellman
Comparison fields: 5 of 79
  • Nature and Landscape Conservation 1.6k
  • Forestry 305
  • Global and Planetary Change 865
  • Ecological Modeling 148
  • Ecology 831
Replace R. M. Misra with:
R. M. Misra
R. L. Specht Australia
M. D. Swaine United Kingdom
P. Mark S. Ashton United States
Jaime Cavelier Colombia
P. D. Coker United Kingdom
Gary S. Hartshorn United States
Jack H. Burk United States
Eizi Suzuki Japan
Julian Ash Australia
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Citations per field
00.5×1.7×
R. M. Misra · 1×
Citations per year

Countries citing papers authored by Martin Kellman

Since Specialization
Citations

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

Fields of papers citing papers by Martin Kellman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1979257
2 199894
3 199886
4 199285
5 199482
6 197077
7 198472
8 199170
9 200270
10 199766
11 199266
12 198664
13 198264
14 198060
15 198157
16 197455
17 199050
18 200348
19 197448
20 200444

About Martin Kellman

Martin Kellman is a scholar working on Nature and Landscape Conservation, Global and Planetary Change, Ecology, Soil Science and Plant Science, having authored 70 papers that have together received 2.5k indexed citations. Recurring topics across this work include Ecology and Vegetation Dynamics Studies (37 papers), Fire effects on ecosystems (16 papers), Forest ecology and management (9 papers), Soil Carbon and Nitrogen Dynamics (7 papers), Plant and animal studies (7 papers), Rangeland and Wildlife Management (6 papers), Botany, Ecology, and Taxonomy Studies (6 papers) and Plant Water Relations and Carbon Dynamics (5 papers). The work is most often cited by research in Nature and Landscape Conservation (1.6k citations), Forestry (305 citations), Global and Planetary Change (865 citations), Ecological Modeling (148 citations) and Ecology (831 citations). Martin Kellman has collaborated with scholars based in Canada, United States and Jamaica. Frequent co-authors include Jorge A. Meave, Kiyoko Miyanishi, Nina Hewitt, Richard Pither, John P. Hudson, Nigel T. Roulet, Lesley S. Rigg, Marcia R. Weaver, Paul W. Richards and Dominique Blain. Their work appears in journals such as Journal of Biogeography, Journal of Tropical Ecology, Forest Ecology and Management, Journal of Ecology and Biotropica.

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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