Paweł Różycki

46 total papers · 706 total citations
23 papers, 501 citations indexed

About

Paweł Różycki is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, Paweł Różycki has authored 23 papers receiving a total of 501 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 9 papers in Electrical and Electronic Engineering and 5 papers in Computer Networks and Communications. Recurrent topics in Paweł Różycki's work include Neural Networks and Applications (11 papers), Advanced Optical Network Technologies (8 papers) and Network Traffic and Congestion Control (4 papers). Paweł Różycki is often cited by papers focused on Neural Networks and Applications (11 papers), Advanced Optical Network Technologies (8 papers) and Network Traffic and Congestion Control (4 papers). Paweł Różycki collaborates with scholars based in Poland, United States and Ukraine. Paweł Różycki's co-authors include Bogdan M. Wilamowski, Janusz Kolbusz, Carlo Cecati, Pierluigi Siano, Junfei Qiao, Andrzej Jajszczyk, Hao Yu, Tiantian Xie, Xing Wu and Michael S. Pukish and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Industrial Informatics and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Paweł Różycki

20 papers receiving 493 citations

Author Peers

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

Author Last Decade Papers Cites
Paweł Różycki 243 198 122 83 62 23 501
Yonghong Luo 196 0.8× 255 1.3× 109 0.9× 74 0.9× 36 0.6× 19 560
Lyes Saad Saoud 216 0.9× 118 0.6× 94 0.8× 68 0.8× 16 0.3× 32 458
Mohammad Hosein Sabzalian 195 0.8× 190 1.0× 181 1.5× 37 0.4× 39 0.6× 27 542
Chun-Yang Zhang 182 0.7× 282 1.4× 59 0.5× 165 2.0× 44 0.7× 31 573
Qingjian Ni 147 0.6× 159 0.8× 66 0.5× 42 0.5× 51 0.8× 33 527
Adnan Saeed 383 1.6× 144 0.7× 68 0.6× 39 0.5× 46 0.7× 17 540
Jesús Soto 96 0.4× 301 1.5× 79 0.6× 41 0.5× 107 1.7× 17 505
Xifeng Guo 306 1.3× 151 0.8× 74 0.6× 72 0.9× 70 1.1× 39 486
Mohammad Anwar Hosen 103 0.4× 219 1.1× 207 1.7× 34 0.4× 44 0.7× 29 605
M. Espinoza 307 1.3× 155 0.8× 188 1.5× 49 0.6× 63 1.0× 12 569

Countries citing papers authored by Paweł Różycki

Since Specialization
Citations

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

Fields of papers citing papers by Paweł Różycki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paweł Różycki

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