Jérôme Boudy

1.4k total citations
52 papers, 709 citations indexed

About

Jérôme Boudy is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jérôme Boudy has authored 52 papers receiving a total of 709 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 15 papers in Signal Processing and 14 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jérôme Boudy's work include Context-Aware Activity Recognition Systems (13 papers), EEG and Brain-Computer Interfaces (11 papers) and Speech Recognition and Synthesis (9 papers). Jérôme Boudy is often cited by papers focused on Context-Aware Activity Recognition Systems (13 papers), EEG and Brain-Computer Interfaces (11 papers) and Speech Recognition and Synthesis (9 papers). Jérôme Boudy collaborates with scholars based in France, Brazil and Italy. Jérôme Boudy's co-authors include Bernadette Dorizzi, Rodrigo Varejão Andreão, Dan Istrate, Henk van den Heuvel, Nesma Houmani, Gérard Chollet, Kiyoka Kinugawa, Gaël Richard, Jean Mariani and Sonia Garcia-Salicetti and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Biomedical Engineering and Sensors.

In The Last Decade

Jérôme Boudy

42 papers receiving 647 citations

Peers

Jérôme Boudy
Comparison fields: 5 of 93
  • Cardiology and Cardiovascular Medicine 261
  • Cognitive Neuroscience 232
  • Computer Vision and Pattern Recognition 180
  • Artificial Intelligence 169
  • Biomedical Engineering 155
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Countries citing papers authored by Jérôme Boudy

Since Specialization
Citations

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

Fields of papers citing papers by Jérôme Boudy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jérôme Boudy

This figure shows the co-authorship network connecting the top 25 collaborators of Jérôme Boudy. A scholar is included among the top collaborators of Jérôme Boudy based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jérôme Boudy. Jérôme Boudy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 5
4 1
5 1
6 6
7
ICPRAM 2016 - Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods
12
8 8
9
A Multimodal Corpus Recorded in a Health nursing home.
1
10 3
11 67
12 6
13 6
14 11
15 224
16
Wavelet transformation and pre-selection of mother wavelets for ECG signal processing
6
17
SpeechDat(E) - Eastern European Telephone Speech Databases
23
18
AN AUTOMATIC MEASUREMENT OF THE DRIVER AVAILABILITY TO RECEIVE VOCAL MESSAGES
1
19
SpeechDat-Car: Towards a collection of speech databases for automotive environments
7
20
PROBLEMS RELATED TO RADIOCOMMUNICATIONS IN VEHICLES
1

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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