M. Robson
Impact in
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- Ecology and Vegetation Dynamics Studies
- Ecological Modeling top 5%
- Species Distribution and Climate Change
Papers in
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- Remote Sensing and LiDAR Applications 3
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- Geographic Information Systems Studies 2
- Co-authors
- Qiming Zhou (3 shared papers)Petter Pilesjö (1 shared paper)David G. Goodenough (5 shared papers)Stan Matwin (3 shared papers)Daniel A. Charlebois (2 shared papers)Ko Fung (2 shared papers)Jeff Secker (1 shared paper)J. Alexandra Rowe (1 shared paper)
In The Last Decade
M. Robson
8 papers receiving 624 citations
M. Robson's Hit Papers
Peers
Comparison fields: 5 of 50
- Nature and Landscape Conservation 374
- Ecological Modeling 86
- Ecology 264
- Ecology, Evolution, Behavior and Systematics 196
- Global and Planetary Change 212
Countries citing papers authored by M. Robson
This map shows the geographic impact of M. Robson'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 M. Robson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Robson more than expected).
Fields of papers citing papers by M. Robson
This network shows the impact of papers produced by M. Robson. 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 M. Robson. The network helps show where M. Robson may publish in the future.
Co-authors
The 9 scholars most cited alongside M. Robson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Assessing the Effects of Land-use Change on Plant Traits, Communities and Ecosystem Functioning in Grasslands: A Standardized Methodology and Lessons from an Application to 11 European Sites Hit paper breakdown → | 2006 | 486 |
| 2 | 1998 | 75 | |
| 3 | 2001 | 66 | |
| 4 | 1994 | 15 | |
| 5 | 2005 | 4 | |
| 6 | 2005 | 2 | |
| 7 | Comparison between the Results from Different Ground Vegetation Cover Estimation Methods in a Rangeland Environment | 1998 | 2 |
| 8 | 2006 | 1 | |
| 9 | 2005 | 0 | |
| 10 | 2005 | 0 |
About M. Robson
M. Robson is a scholar working on Environmental Engineering, Geography, Planning and Development, Artificial Intelligence, Ecology and Ecological Modeling, having authored 10 papers that have together received 651 indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (3 papers), Remote Sensing and LiDAR Applications (3 papers), AI-based Problem Solving and Planning (2 papers), Geographic Information Systems Studies (2 papers), Advanced Computational Techniques and Applications (2 papers), Rangeland and Wildlife Management (2 papers), Cognitive Science and Mapping (1 paper) and Reservoir Engineering and Simulation Methods (1 paper). The work is most often cited by research in Nature and Landscape Conservation (374 citations), Ecological Modeling (86 citations), Ecology (264 citations), Ecology, Evolution, Behavior and Systematics (196 citations) and Global and Planetary Change (212 citations). M. Robson has collaborated with scholars based in Canada, Australia and Sweden. Frequent co-authors include Qiming Zhou, Petter Pilesjö, David G. Goodenough, Stan Matwin, Daniel A. Charlebois, Ko Fung, Jeff Secker, J. Alexandra Rowe and P.W. Vachon. Their work appears in journals such as International Journal of Remote Sensing, IEEE Transactions on Geoscience and Remote Sensing and Annals of Botany.
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.