Yoann Baveye

845 total citations
7 papers, 301 citations indexed

About

Yoann Baveye is a scholar working on Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology and Social Psychology. According to data from OpenAlex, Yoann Baveye has authored 7 papers receiving a total of 301 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 3 papers in Experimental and Cognitive Psychology and 2 papers in Social Psychology. Recurrent topics in Yoann Baveye's work include Emotion and Mood Recognition (3 papers), Image and Video Quality Assessment (3 papers) and Emotions and Moral Behavior (2 papers). Yoann Baveye is often cited by papers focused on Emotion and Mood Recognition (3 papers), Image and Video Quality Assessment (3 papers) and Emotions and Moral Behavior (2 papers). Yoann Baveye collaborates with scholars based in France, Germany and Finland. Yoann Baveye's co-authors include Emmanuel Dellandréa, Christel Chamaret, Liming Chen, Lukáš Krasula, Mats Sjöberg, Liming Chen, Zhi Li, Patrick Le Callet, Jing Li and Zhongzhe Xiao and has published in prestigious journals such as IEEE Transactions on Multimedia, IEEE Transactions on Affective Computing and HAL (Le Centre pour la Communication Scientifique Directe).

In The Last Decade

Yoann Baveye

7 papers receiving 286 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yoann Baveye France 5 170 164 79 68 48 7 301
Christel Chamaret France 9 280 1.6× 163 1.0× 76 1.0× 106 1.6× 55 1.1× 19 432
Hee Lin Wang Singapore 6 216 1.3× 67 0.4× 84 1.1× 33 0.5× 41 0.9× 11 278
Luca Canini Italy 10 168 1.0× 62 0.4× 58 0.7× 26 0.4× 30 0.6× 15 306
Enrique Sánchez United Kingdom 8 134 0.8× 133 0.8× 39 0.5× 36 0.5× 33 0.7× 17 262
Naoko Tosa Japan 9 92 0.5× 115 0.7× 64 0.8× 37 0.5× 63 1.3× 60 309
Behnaz Nojavanasghari United States 5 108 0.6× 105 0.6× 33 0.4× 45 0.7× 27 0.6× 5 285
Soroosh Mariooryad United States 13 133 0.8× 308 1.9× 232 2.9× 57 0.8× 68 1.4× 15 467
Robert Walecki United Kingdom 7 155 0.9× 198 1.2× 62 0.8× 39 0.6× 32 0.7× 9 289
Stuart Cunningham United Kingdom 8 66 0.4× 50 0.3× 78 1.0× 58 0.9× 43 0.9× 50 276
Pooya Khorrami United States 5 247 1.5× 390 2.4× 71 0.9× 75 1.1× 113 2.4× 13 502

Countries citing papers authored by Yoann Baveye

Since Specialization
Citations

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

Fields of papers citing papers by Yoann Baveye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoann Baveye

This figure shows the co-authorship network connecting the top 25 collaborators of Yoann Baveye. A scholar is included among the top collaborators of Yoann Baveye 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 Yoann Baveye. Yoann Baveye is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Li, Jing, Lukáš Krasula, Yoann Baveye, Zhi Li, & Patrick Le Callet. (2019). AccAnn: A New Subjective Assessment Methodology for Measuring Acceptability and Annoyance of Quality of Experience. IEEE Transactions on Multimedia. 21(10). 2589–2602. 18 indexed citations
2.
Krasula, Lukáš, et al.. (2019). Training Objective Image and Video Quality Estimators Using Multiple Databases. IEEE Transactions on Multimedia. 22(4). 961–969. 9 indexed citations
3.
Dellandréa, Emmanuel, et al.. (2019). Datasets column. 10(4). 6–6. 3 indexed citations
4.
Baveye, Yoann, Christel Chamaret, Emmanuel Dellandréa, & Liming Chen. (2017). Affective Video Content Analysis: A Multidisciplinary Insight. IEEE Transactions on Affective Computing. 9(4). 396–409. 49 indexed citations
5.
Dellandréa, Emmanuel, Liming Chen, Yoann Baveye, Mats Sjöberg, & Christel Chamaret. (2016). The MediaEval 2016 Emotional Impact of Movies Task. Aaltodoc (Aalto University). 1739. 26 indexed citations
6.
Baveye, Yoann, et al.. (2015). Deep Learning vs. Kernel Methods: Performance for Emotion Prediction in Videos. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
7.
Baveye, Yoann, Emmanuel Dellandréa, Christel Chamaret, & Liming Chen. (2015). LIRIS-ACCEDE: A Video Database for Affective Content Analysis. IEEE Transactions on Affective Computing. 6(1). 43–55. 195 indexed citations

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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