Michalis Raptis

1.3k total citations
12 papers, 719 citations indexed

About

Michalis Raptis is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Michalis Raptis has authored 12 papers receiving a total of 719 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 3 papers in Control and Systems Engineering. Recurrent topics in Michalis Raptis's work include Human Pose and Action Recognition (8 papers), Human Motion and Animation (3 papers) and Anomaly Detection Techniques and Applications (3 papers). Michalis Raptis is often cited by papers focused on Human Pose and Action Recognition (8 papers), Human Motion and Animation (3 papers) and Anomaly Detection Techniques and Applications (3 papers). Michalis Raptis collaborates with scholars based in United States, Canada and Japan. Michalis Raptis's co-authors include Stefano Soatto, Leonid Sigal, Darko Kirovski, Hugues Hoppe, Alper Ayvacı, Greg Mori, Makoto Yamada, Tian Lan, Erik B. Sudderth and Soumya Ghosh and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and HAL (Le Centre pour la Communication Scientifique Directe).

In The Last Decade

Michalis Raptis

12 papers receiving 696 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michalis Raptis United States 10 649 233 159 154 126 12 719
Atul Kanaujia United States 10 703 1.1× 220 0.9× 143 0.9× 138 0.9× 107 0.8× 17 791
Grégory Rogez Spain 13 552 0.9× 148 0.6× 134 0.8× 192 1.2× 174 1.4× 28 696
Xuecheng Nie China 14 569 0.9× 207 0.9× 95 0.6× 115 0.7× 34 0.3× 28 653
Cen Rao United States 8 496 0.8× 132 0.6× 151 0.9× 122 0.8× 57 0.5× 13 530
Shu-Fai Wong United Kingdom 6 585 0.9× 231 1.0× 149 0.9× 156 1.0× 33 0.3× 8 665
Muhammad Muneeb Ullah Switzerland 3 930 1.4× 421 1.8× 239 1.5× 169 1.1× 23 0.2× 6 975
Darrell United States 4 632 1.0× 119 0.5× 56 0.4× 104 0.7× 75 0.6× 7 684
Panna Felsen United States 4 860 1.3× 164 0.7× 144 0.9× 70 0.5× 341 2.7× 6 958
Ingo Bax Germany 5 880 1.4× 490 2.1× 197 1.2× 182 1.2× 58 0.5× 9 985

Countries citing papers authored by Michalis Raptis

Since Specialization
Citations

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

Fields of papers citing papers by Michalis Raptis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michalis Raptis

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

All Works

12 of 12 papers shown
1.
Yamada, Makoto, et al.. (2015). Cross-Domain Matching with Squared-Loss Mutual Information. IEEE Transactions on Pattern Analysis and Machine Intelligence. 37(9). 1764–1776. 6 indexed citations
2.
Ghosh, Soumya, Michalis Raptis, Leonid Sigal, & Erik B. Sudderth. (2014). Nonparametric clustering with distance dependent hierarchies. Uncertainty in Artificial Intelligence. 260–269. 7 indexed citations
3.
Yamada, Makoto, Leonid Sigal, & Michalis Raptis. (2014). Covariate Shift Adaptation for Discriminative 3D Pose Estimation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 36(2). 235–247. 12 indexed citations
4.
Raptis, Michalis, et al.. (2013). Action is in the Eye of the Beholder: Eye-gaze Driven Model for Spatio-Temporal Action Localization. Neural Information Processing Systems. 26. 2409–2417. 14 indexed citations
5.
Raptis, Michalis & Leonid Sigal. (2013). Poselet Key-Framing: A Model for Human Activity Recognition. 2650–2657. 157 indexed citations
6.
Lan, Tian, Michalis Raptis, Leonid Sigal, & Greg Mori. (2013). From Subcategories to Visual Composites: A Multi-level Framework for Object Detection. 369–376. 17 indexed citations
7.
Raptis, Michalis, et al.. (2012). Discovering discriminative action parts from mid-level video representations. SPIRE - Sciences Po Institutional REpository. 1242–1249. 171 indexed citations
8.
Ayvacı, Alper, Michalis Raptis, & Stefano Soatto. (2011). Sparse Occlusion Detection with Optical Flow. International Journal of Computer Vision. 97(3). 322–338. 67 indexed citations
9.
Raptis, Michalis, Darko Kirovski, & Hugues Hoppe. (2011). Real-time classification of dance gestures from skeleton animation. 147–156. 221 indexed citations
10.
Ayvacı, Alper, Michalis Raptis, & Stefano Soatto. (2010). Occlusion Detection and Motion Estimation with Convex Optimization. Neural Information Processing Systems. 23. 100–108. 27 indexed citations
11.
Raptis, Michalis, et al.. (2010). Spike train driven dynamical models for human actions. 2077–2084. 10 indexed citations
12.
Raptis, Michalis, et al.. (2008). Flexible Dictionaries for Action Classification. HAL (Le Centre pour la Communication Scientifique Directe). 10 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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