R.H. Marrs

275 papers receiving 6.6k citations

Peers

R.H. Marrs
Comparison fields: 5 of 128
  • Nature and Landscape Conservation 3.8k
  • Forestry 519
  • Ecology 3.2k
  • Soil Science 948
  • Ecological Modeling 397
Replace William D. Stock with:
William D. Stock Australia
Brian J. Wilsey United States
Robin J. Pakeman United Kingdom
H. Wayne Polley United States
Péter Török Hungary
Karl Grigulis France
E. V. J. Tanner United Kingdom
Amy J. Symstad United States
Norbert Hölzel Germany
Christiane Roscher Germany
R.H. Marrs relative to William D. Stock Australia William D. Stock's profile →
Citations per field
00.5×1.6×
William D. Stock · 1×
Citations per year

Countries citing papers authored by R.H. Marrs

Since Specialization
Citations

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

Fields of papers citing papers by R.H. Marrs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R.H. Marrs. 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 R.H. Marrs. The network helps show where R.H. Marrs may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 288 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006284
2 2006156
3 2008154
4 1990151
5 1988145
6 2005116
7 1997113
8 2000111
9 201794
10 199294
11 198993
12 201089
13 199289
14 201686
15 200081
16 201179
17 198578
18 201174
19 199773
20 201070

About R.H. Marrs

R.H. Marrs is a scholar working on Nature and Landscape Conservation, Ecology, Plant Science, Global and Planetary Change and Ecology, Evolution, Behavior and Systematics, having authored 288 papers that have together received 7.2k indexed citations. Recurring topics across this work include Ecology and Vegetation Dynamics Studies (155 papers), Botany and Plant Ecology Studies (57 papers), Rangeland and Wildlife Management (45 papers), Peatlands and Wetlands Ecology (31 papers), Botany, Ecology, and Taxonomy Studies (31 papers), Pasture and Agricultural Systems (28 papers), Soil Carbon and Nitrogen Dynamics (25 papers) and Fire effects on ecosystems (22 papers). The work is most often cited by research in Nature and Landscape Conservation (3.8k citations), Forestry (519 citations), Ecology (3.2k citations), Soil Science (948 citations) and Ecological Modeling (397 citations). R.H. Marrs has collaborated with scholars based in United Kingdom, Spain and United States. Frequent co-authors include Robin J. Pakeman, M.G. Le Duc, Josu G. Alday, Carolina Martínez‐Ruiz, A.J. Frost, Simon M. Smart, Mike G. Le Duc, John Proctor, A. S. Watt and Richard F. Pywell. Their work appears in journals such as Biological Conservation, Journal of Applied Ecology, Applied Vegetation Science, Journal of Ecology and Journal of Vegetation Science.

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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