Scott Mitchell

43 papers receiving 1.3k citations

Peers

Scott Mitchell
Comparison fields: 5 of 119
  • Ecological Modeling 120
  • Nature and Landscape Conservation 333
  • Ecology 662
  • Global and Planetary Change 435
  • Ecology, Evolution, Behavior and Systematics 275
Replace Jakub Nowosad with:
Jakub Nowosad Poland
Kajetan Perzanowski Poland
Glenn D. Sutherland Canada
Mika Siljander Finland
Helen C. Wheeler United Kingdom
Cédric Vermeulen Belgium
Thomas R. Etherington New Zealand
Gaétan Lefebvre France
Frédéric Mortier France
Florencia Sangermano United States
Scott Mitchell relative to Jakub Nowosad Poland Jakub Nowosad's profile →
Citations per field
00.5×10×20×30×40×47.5×
Jakub Nowosad · 1×
Citations per year

Countries citing papers authored by Scott Mitchell

Since Specialization
Citations

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

Fields of papers citing papers by Scott Mitchell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014275
2 2013109
3 201996
4 201790
5 201377
6 201170
7 201560
8 201950
9 201348
10 200148
11 201944
12 198140
13 201440
14 202033
15 200631
16 201530
17 202028
18 200527
19 200825
20 202019

About Scott Mitchell

Scott Mitchell is a scholar working on Ecology, Environmental Engineering, Global and Planetary Change, Aerospace Engineering and Nature and Landscape Conservation, having authored 43 papers that have together received 1.4k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (15 papers), Land Use and Ecosystem Services (7 papers), Remote Sensing and LiDAR Applications (7 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (7 papers), Clostridium difficile and Clostridium perfringens research (5 papers), Ecology and Vegetation Dynamics Studies (5 papers), Soil Moisture and Remote Sensing (5 papers) and Precipitation Measurement and Analysis (3 papers). The work is most often cited by research in Ecological Modeling (120 citations), Nature and Landscape Conservation (333 citations), Ecology (662 citations), Global and Planetary Change (435 citations) and Ecology, Evolution, Behavior and Systematics (275 citations). Scott Mitchell has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Lenore Fahrig, Douglas J. King, Kathryn E. Lindsay, Adam C. Smith, Andrew Davidson, Jon Pasher, Ferenc Csillag, Judith Girard, Lutz Tischendorf and Dennis C. Duro. Their work appears in journals such as Remote Sensing of Environment, Agriculture Ecosystems & Environment, International Journal of Applied Earth Observation and Geoinformation, International Journal of Remote Sensing and Canadian Journal of Remote Sensing.

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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