Yannis Panagakis

2.5k citations
89 papers · 1.5k · h-index 21

Impact in

Papers in

Yannis Panagakis

86 papers receiving 1.5k citations

Peers

Yannis Panagakis
Comparison fields: 5 of 123
  • Computational Mathematics 179
  • Signal Processing 533
  • Computer Vision and Pattern Recognition 854
  • Experimental and Cognitive Psychology 203
  • Computational Mechanics 233
Replace George Trigeorgis with:
George Trigeorgis United Kingdom
Qiuqi Ruan China
Hirokazu Kameoka Japan
Yuxiao Hu United States
Martin Lades Germany
Tyng-Luh Liu Taiwan
Pedro J. Moreno United States
Gary B. Huang United States
Zhiwu Huang China
Ioan Buciu Romania
Yannis Panagakis relative to George Trigeorgis United Kingdom George Trigeorgis's profile →
Citations per field
00.5×11.2×
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Citations per year

Countries citing papers authored by Yannis Panagakis

Since Specialization
Citations

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

Fields of papers citing papers by Yannis Panagakis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019157
2 2016129
3 201796
4 200983
5 202177
6 201575
7 202146
8 201445
9 202043
10 200940
11 201836
12 201533
13 202132
14 201430
15 201728
16 202028
17 201226
18 201226
19 201026
20 201625

About Yannis Panagakis

Yannis Panagakis is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Computational Mechanics, Computational Mathematics and Artificial Intelligence, having authored 89 papers that have together received 1.5k indexed citations. Recurring topics across this work include Speech and Audio Processing (31 papers), Music and Audio Processing (24 papers), Face and Expression Recognition (20 papers), Face recognition and analysis (17 papers), Sparse and Compressive Sensing Techniques (15 papers), Tensor decomposition and applications (14 papers), Blind Source Separation Techniques (13 papers) and Generative Adversarial Networks and Image Synthesis (7 papers). The work is most often cited by research in Computational Mathematics (179 citations), Signal Processing (533 citations), Computer Vision and Pattern Recognition (854 citations), Experimental and Cognitive Psychology (203 citations) and Computational Mechanics (233 citations). Yannis Panagakis has collaborated with scholars based in United Kingdom, Greece and United States. Frequent co-authors include Stefanos Zafeiriou, Constantine Kotropoulos, Maja Pantić, Jean Kossaifi, Gonzalo R. Arce, Anima Anandkumar, Christos Sagonas, Mihalis A. Nicolaou, Grigorios G. Chrysos and Stylianos Ploumpis. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision, Journal of Neural Engineering, Image and Vision Computing and IEEE Transactions on Image Processing.

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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