Catherine Achard

1.5k citations
34 papers · 811 · h-index 14

Impact in

Papers in

Catherine Achard

33 papers receiving 780 citations

Peers

Catherine Achard
Comparison fields: 5 of 114
  • Pharmacy 54
  • Computer Vision and Pattern Recognition 223
  • Human-Computer Interaction 57
  • Social Psychology 188
  • Developmental and Educational Psychology 90
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Marwa Mahmoud United Kingdom
Anne-Maria Laukkanen Finland
Helena Paterson United Kingdom
Jeffery F. Cohn United States
Daryush D. Mehta United States
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Takatomi Kubo Japan
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Citations per year

Countries citing papers authored by Catherine Achard

Since Specialization
Citations

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

Fields of papers citing papers by Catherine Achard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014298
2 200576
3 201752
4 202046
5 201543
6 200740
7 200939
8 201638
9 202026
10 200719
11 202316
12 201415
13 201413
14 202413
15 201911
16 201711
17 20179
18 20238
19 20108
20 20116

About Catherine Achard

Catherine Achard is a scholar working on Computer Vision and Pattern Recognition, Social Psychology, Artificial Intelligence, Biomedical Engineering and Computational Mechanics, having authored 34 papers that have together received 811 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (11 papers), Video Surveillance and Tracking Methods (10 papers), Social Robot Interaction and HRI (6 papers), Anomaly Detection Techniques and Applications (4 papers), Speech and dialogue systems (4 papers), Advanced Image and Video Retrieval Techniques (4 papers), Gait Recognition and Analysis (4 papers) and Hand Gesture Recognition Systems (3 papers). The work is most often cited by research in Pharmacy (54 citations), Computer Vision and Pattern Recognition (223 citations), Human-Computer Interaction (57 citations), Social Psychology (188 citations) and Developmental and Educational Psychology (90 citations). Catherine Achard has collaborated with scholars based in France, Italy and Japan. Frequent co-authors include Sylvain Missonnier, Mohamed Chétouani, Sylvie Viaux‐Savelon, David Cohen, Chloë Leclère, Marie Avril, Maurice Milgram, Quoc Cuong Pham, Hans W. Erhard and Alain Boissy. Their work appears in journals such as Machine Vision and Applications, Pattern Recognition, Journal of Intelligent Transportation Systems, Journal of Animal Science and Translational Psychiatry.

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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