Jérôme Théau

1.8k citations
46 papers · 1.3k indexed · 1 hit paper · h-index 18

Impact in

Papers in

    • Species Distribution and Climate Change 9
    • Wildlife Ecology and Conservation 13
    • Remote Sensing in Agriculture 8

Jérôme Théau

46 papers receiving 1.3k citations

Hit Papers

Convolutional Neural Networks for the Automatic Identification of Plant Diseases 2019 · 247 citations
247201920262021202350100150200

Peers

Jérôme Théau
Comparison fields: 5 of 86
  • Geology 189
  • Ecological Modeling 140
  • Environmental Engineering 357
  • Space and Planetary Science 28
  • Ecology 538
Replace Roope Näsi with:
Roope Näsi Finland
Jere Kaivosoja Finland
Niko Viljanen Finland
Grant D. Pearse New Zealand
Lauri Markelin Finland
Andrea Berton Italy
Jonáš Hruška Portugal
Jessica J. Mitchell United States
Rachel Gaulton United Kingdom
Jan van Aardt United States
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Citations per field
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Citations per year

Countries citing papers authored by Jérôme Théau

Since Specialization
Citations

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

Fields of papers citing papers by Jérôme Théau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20233
2 20235
3 202133
4 202012
5 202062
6 202026
7 201926
8 201925
9 201912
10 201810
11 20178
12 201560
13 20152
14 2014150
15 20133
16
Functional typology of perennial forage grasses: a classification based on several characteristics.
20107
17 200726
18 20044
19 200416
20 20006

About Jérôme Théau

Jérôme Théau is a scholar working on Ecological Modeling, Ecology, Geology, Global and Planetary Change and Nature and Landscape Conservation, having authored 46 papers that have together received 1.3k indexed citations. Recurring topics across this work include Wildlife Ecology and Conservation (13 papers), Land Use and Ecosystem Services (10 papers), Species Distribution and Climate Change (9 papers), Remote Sensing in Agriculture (8 papers), Remote Sensing and LiDAR Applications (8 papers), Ecology and Vegetation Dynamics Studies (7 papers), Robotics and Sensor-Based Localization (6 papers) and Advanced Vision and Imaging (5 papers). The work is most often cited by research in Geology (189 citations), Ecological Modeling (140 citations), Environmental Engineering (357 citations), Space and Planetary Science (28 citations) and Ecology (538 citations). Jérôme Théau has collaborated with scholars based in Canada, United States and Belgium. Frequent co-authors include Patrick Ménard, Mozhdeh Shahbazi, Samuel Foucher, Pierre-Luc St-Charles, Gunho Sohn, Xin Wen, Richard Fournier, Claude Duguay, Lydiane Aubé and Nicolas Devillers. Their work appears in journals such as GIScience & Remote Sensing, PLoS ONE, ISPRS Journal of Photogrammetry and Remote Sensing, Remote Sensing of Environment and Ecological Indicators.

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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