Michalis Raptis

22 total papers · 1.3k total citations
12 papers, 718 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 718 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, Hugues Hoppe, Darko Kirovski, 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 695 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Michalis Raptis	648	233	159	154	126	12	718
Atul Kanaujia	706 1.1×	225 1.0×	144 0.9×	138 0.9×	107 0.8×	17	794
Matías Mendieta	442 0.7×	222 1.0×	144 0.9×	128 0.8×	57 0.5×	13	697
Grégory Rogez	549 0.8×	147 0.6×	134 0.8×	189 1.2×	172 1.4×	28	691
Ce Zheng	678 1.0×	170 0.7×	259 1.6×	204 1.3×	83 0.7×	17	884
Shu-Fai Wong	582 0.9×	228 1.0×	149 0.9×	156 1.0×	33 0.3×	8	662
Yeon-Ho Kim	653 1.0×	216 0.9×	162 1.0×	95 0.6×	42 0.3×	12	780
Xuecheng Nie	567 0.9×	206 0.9×	95 0.6×	115 0.7×	34 0.3×	28	650
Chris Bregler	784 1.2×	204 0.9×	105 0.7×	205 1.3×	168 1.3×	14	909
Zhe Lin	633 1.0×	193 0.8×	168 1.1×	78 0.5×	38 0.3×	11	786
Alexandros André Chaaraoui	658 1.0×	249 1.1×	225 1.4×	139 0.9×	28 0.2×	14	769

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

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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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