Éric Hervet

857 citations
17 papers · 510 · 1 hit paper · h-index 7

Impact in

Papers in

Éric Hervet

14 papers receiving 489 citations

Éric Hervet's Hit Papers

Applications for deep learning in ecology 2019 · 383 citations
3830+2+4Years since publication100200300

Peers

Éric Hervet
Comparison fields: 5 of 101
  • Ecological Modeling 123
  • Developmental Biology 57
  • Ecology 194
  • Nature and Landscape Conservation 90
  • Computer Vision and Pattern Recognition 99
Replace Sylvain Christin with:
Sylvain Christin Canada
Sara Beery United States
Julian Dale United States
Matthew McKown United States
Shane M. Baylis Australia
Jarrod C. Hodgson Australia
Rowan Mott Australia
Zoë Jewell United States
Ramesh Raja Segaran Australia
Natalie Kelly Australia
Éric Hervet relative to Sylvain Christin Canada Sylvain Christin's profile →
Citations per field
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Sylvain Christin · 1×
Citations per year

Countries citing papers authored by Éric Hervet

Since Specialization
Citations

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

Fields of papers citing papers by Éric Hervet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Éric Hervet, 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 Éric Hervet Line = papers co-authored together Éric Hervet links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1
Applications for deep learning in ecology
Hit paper breakdown →
2019383
2 199839
3 201622
4 200622
5 201610
6 20208
7 20088
8 20234
9 20114
10 20233
11 20072
12 20172
13 20221
14 20121
15 20121
16 20250
17 19990

About Éric Hervet

Éric Hervet is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Developmental Biology, Ecology and Media Technology, having authored 17 papers that have together received 510 indexed citations. Recurring topics across this work include Music and Audio Processing (6 papers), Animal Vocal Communication and Behavior (4 papers), Advanced Steganography and Watermarking Techniques (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), Species Distribution and Climate Change (2 papers), Remote-Sensing Image Classification (2 papers), Forest ecology and management (2 papers) and Remote Sensing and LiDAR Applications (2 papers). The work is most often cited by research in Ecological Modeling (123 citations), Developmental Biology (57 citations), Ecology (194 citations), Nature and Landscape Conservation (90 citations) and Computer Vision and Pattern Recognition (99 citations). Éric Hervet has collaborated with scholars based in Canada, France and Germany. Frequent co-authors include Nicolas Lecomte, Sylvain Christin, Sid‐Ahmed Selouani, Philippe Marthon, Roger Fjørtoft, H. Adégbidi, Lacina Coulibaly, Richard Fournier, Jannik Hansen and Paul A. Smith. Their work appears in journals such as Methods in Ecology and Evolution, Ecology, International Journal of Speech Technology, Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE and PubMed.

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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