Triantafyllos Afouras

18 papers receiving 2.1k citations

Hit Papers

Counterfactual Multi-Agent Policy Gradients2018202620202023201820182505007501000

Peers

Triantafyllos Afouras
Comparison fields: 5 of 93
  • Artificial Intelligence 1.2k
  • Signal Processing 818
  • Computer Vision and Pattern Recognition 526
  • Computer Networks and Communications 320
  • Control and Systems Engineering 230
Replace Andrew L. Maas with:
Andrew L. Maas United States
Longzhi Yang United Kingdom
Chaowei Xiao United States
Shaohua Teng China
Olivier Pietquin France
Vir V. Phoha United States
Kamal Z. Zamli Malaysia
Karl Koscher United States
Ahmad Y. Javaid United States
Nathan Sturtevant Canada
Triantafyllos Afouras relative to Andrew L. Maas United States Andrew L. Maas's profile →
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Andrew L. Maas · 1×
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Countries citing papers authored by Triantafyllos Afouras

Since Specialization
Citations

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

Fields of papers citing papers by Triantafyllos Afouras

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Triantafyllos Afouras

This figure shows the co-authorship network connecting the top 25 collaborators of Triantafyllos Afouras. A scholar is included among the top collaborators of Triantafyllos Afouras 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 Triantafyllos Afouras. Triantafyllos Afouras 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
#WorkIndexed citations
1 0
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6 8
7 31
8 64
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10 111
11 12
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13 70
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The conversation: deep audio-visual speech enhancement
218
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Counterfactual Multi-Agent Policy Gradientsbreakdown →
1011
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Deep Audio-Visual Speech Recognitionbreakdown →
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19 171
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About Triantafyllos Afouras

Triantafyllos Afouras is a scholar working on Signal Processing, Human-Computer Interaction and Computer Vision and Pattern Recognition, having authored 21 papers that have together received 2.2k indexed citations. Recurring topics across this work include Speech and Audio Processing (10 papers), Music and Audio Processing (6 papers) and Human Pose and Action Recognition (4 papers). The work is most often cited by research in Signal Processing (818 citations), Artificial Intelligence (1.2k citations) and Computer Vision and Pattern Recognition (526 citations). Triantafyllos Afouras has collaborated with scholars based in United Kingdom, France and South Korea. Frequent co-authors include Jakob Foerster, Nantas Nardelli, Gregory Farquhar, Shimon Whiteson, Andrew Zisserman, Joon Son Chung, Andrew Senior, Oriol Vinyals, Arsha Nagrani and Andrea Vedaldi. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, ACM Transactions on Graphics and International Journal of Computer Vision.

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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