Patrick Cardinal

958 citations
45 papers · 620 · h-index 15

Impact in

Papers in

Patrick Cardinal

42 papers receiving 575 citations

Peers

Patrick Cardinal
Comparison fields: 5 of 72
  • Signal Processing 280
  • Experimental and Cognitive Psychology 131
  • Computer Vision and Pattern Recognition 190
  • Artificial Intelligence 280
  • Developmental and Educational Psychology 51
Replace Alberto Abad with:
Alberto Abad Portugal
Gustav Eje Henter Sweden
Slim Ouni France
Olivier Deroo Belgium
Mohamed Faouzi BenZeghiba France
Roberto Barra-Chicote Spain
Barry-John Theobald United Kingdom
Om Deshmukh United States
Shinji Sako Japan
Ariel Salomon United States
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Citations per field
00.5×1.5×2.3×
Alberto Abad · 1×
Citations per year

Countries citing papers authored by Patrick Cardinal

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Cardinal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201481
2 202276
3 202138
4 200832
5 202331
6 201830
7 201425
8 201723
9 200623
10 201022
11
CRIM's content-based copy detection system for TRECVID
200919
12 202018
13 202117
14 202014
15 202314
16 202213
17 201013
18 202212
19 201512
20 202010

About Patrick Cardinal

Patrick Cardinal is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology and Language and Linguistics, having authored 45 papers that have together received 620 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (17 papers), Music and Audio Processing (15 papers), Speech and Audio Processing (12 papers), Natural Language Processing Techniques (9 papers), Emotion and Mood Recognition (8 papers), Subtitles and Audiovisual Media (5 papers), Face recognition and analysis (4 papers) and Video Analysis and Summarization (4 papers). The work is most often cited by research in Signal Processing (280 citations), Experimental and Cognitive Psychology (131 citations), Computer Vision and Pattern Recognition (190 citations), Artificial Intelligence (280 citations) and Developmental and Educational Psychology (51 citations). Patrick Cardinal has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Éric Granger, R. Gnana Praveen, Gilles Boulianne, Alessandro L. Koerich, Marc J. Lanovaz, James Glass, Vishwa Gupta, Stephan Vogel, Ahmed Ali and Yifan Zhang. Their work appears in journals such as Applied Acoustics, Pattern Recognition Letters, Image and Vision Computing, IEEE Signal Processing Letters and Multimedia Tools and Applications.

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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