Philippe Aigrain

1.3k citations
32 papers · 690 · h-index 11

Impact in

Papers in

Philippe Aigrain

30 papers receiving 613 citations

Peers

Philippe Aigrain
Comparison fields: 5 of 115
  • Computer Vision and Pattern Recognition 444
  • Tourism, Leisure and Hospitality Management 30
  • Signal Processing 131
  • Marketing 38
  • Hardware and Architecture 19
Replace Anil Chaturvedi with:
Anil Chaturvedi United States
Zhifeng Chen China
Hamid Turab Mirza Pakistan
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Charles Lim Indonesia
Clemens Drews United States
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Citations per field
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Citations per year

Countries citing papers authored by Philippe Aigrain

Since Specialization
Citations

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

Fields of papers citing papers by Philippe Aigrain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996214
2 200790
3
State of the vitiviniculture world market
200384
4 199457
5
Medium knowledge-based macro-segmentation of video into sequences
199745
6
Proceedings of the fourth ACM international conference on Multimedia
199735
7 198422
8 201219
9 201216
10 199514
11 199513
12 19979
13 19579
14 19967
15
Cause commune : l'information entre bien commun et propriété
20057
16 19926
17
A connection graph for user navigation in a large image bank.
19915
18 20065
19 19994
20 20124

About Philippe Aigrain

Philippe Aigrain is a scholar working on Computer Vision and Pattern Recognition, Sociology and Political Science, Computer Networks and Communications, Molecular Biology and Marketing, having authored 32 papers that have together received 690 indexed citations. Recurring topics across this work include Video Analysis and Summarization (9 papers), Image Retrieval and Classification Techniques (7 papers), Advanced Image and Video Retrieval Techniques (5 papers), Multimedia Communication and Technology (3 papers), DNA and Biological Computing (3 papers), Algorithms and Data Compression (3 papers), Copyright and Intellectual Property (2 papers) and Advanced Data Storage Technologies (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (444 citations), Tourism, Leisure and Hospitality Management (30 citations), Signal Processing (131 citations), Marketing (38 citations) and Hardware and Architecture (19 citations). Philippe Aigrain has collaborated with scholars based in France, United States and Japan. Frequent co-authors include Dragutin Petković, Hao Zhang, Philippe Joly, Thomas D. C. Little, V. Michael Bove, Wendy Hall, Danièle Beauquier, Robert R. Henry, Marshall Kirk McKusick and Susan L. Graham. Their work appears in journals such as First Monday, IFLA Journal, Journal of New Music Research, ACM SIGPLAN Notices and Theoretical Computer Science.

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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