Rafal A. Angryk

276 total papers · 2.4k total citations
140 papers, 1.1k citations indexed

About

Rafal A. Angryk is a scholar working on Artificial Intelligence, Signal Processing and Astronomy and Astrophysics. According to data from OpenAlex, Rafal A. Angryk has authored 140 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Artificial Intelligence, 55 papers in Signal Processing and 41 papers in Astronomy and Astrophysics. Recurrent topics in Rafal A. Angryk's work include Data Management and Algorithms (44 papers), Solar and Space Plasma Dynamics (41 papers) and Data Mining Algorithms and Applications (29 papers). Rafal A. Angryk is often cited by papers focused on Data Management and Algorithms (44 papers), Solar and Space Plasma Dynamics (41 papers) and Data Mining Algorithms and Applications (29 papers). Rafal A. Angryk collaborates with scholars based in United States, Greece and Poland. Rafal A. Angryk's co-authors include Berkay Aydin, Juan M. Banda, P. C. H. Martens, Dustin Kempton, Michael A. Schuh, Soukaïna Filali Boubrahimi, Ruizhe Ma, Shah Muhammad Hamdi, Manolis K. Georgoulis and M. Shahriar Hossain and has published in prestigious journals such as The Astrophysical Journal, IEEE Transactions on Pattern Analysis and Machine Intelligence and The Astrophysical Journal Supplement Series.

In The Last Decade

Rafal A. Angryk

133 papers receiving 1.0k citations

Author Peers

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

Author Last Decade Papers Cites
Rafal A. Angryk 464 336 297 259 218 140 1.1k
Jason T. L. Wang 472 1.0× 252 0.8× 189 0.6× 304 1.2× 202 0.9× 92 1.2k
S. Dormido-Canto 276 0.6× 136 0.4× 37 0.1× 167 0.6× 41 0.2× 119 1.4k
Debahuti Mishra 480 1.0× 45 0.1× 51 0.2× 260 1.0× 123 0.6× 137 1.4k
Zhihui Du 242 0.5× 119 0.4× 87 0.3× 85 0.3× 531 2.4× 134 1.3k
Jia Chen 559 1.2× 76 0.2× 28 0.1× 352 1.4× 195 0.9× 95 1.1k
Vincent Oria 416 0.9× 998 3.0× 27 0.1× 446 1.7× 117 0.5× 66 1.4k
Camil Demetrescu 254 0.5× 228 0.7× 27 0.1× 148 0.6× 173 0.8× 88 1.2k
Georgios C. Anagnostopoulos 348 0.8× 48 0.1× 537 1.8× 159 0.6× 24 0.1× 119 1.4k
Chengyuan Zhang 267 0.6× 215 0.6× 75 0.3× 426 1.6× 117 0.5× 103 1.2k
Roni Khardon 721 1.6× 151 0.4× 62 0.2× 82 0.3× 221 1.0× 78 1.0k

Countries citing papers authored by Rafal A. Angryk

Since Specialization
Citations

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

Fields of papers citing papers by Rafal A. Angryk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rafal A. Angryk. 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 Rafal A. Angryk. The network helps show where Rafal A. Angryk may publish in the future.

Co-authorship network of co-authors of Rafal A. Angryk

This figure shows the co-authorship network connecting the top 25 collaborators of Rafal A. Angryk. A scholar is included among the top collaborators of Rafal A. Angryk 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 Rafal A. Angryk. Rafal A. Angryk 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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