Dymitr Ruta

102 total papers · 2.6k total citations
61 papers, 1.6k citations indexed

About

Dymitr Ruta is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Dymitr Ruta has authored 61 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 10 papers in Computer Networks and Communications and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Dymitr Ruta's work include Anomaly Detection Techniques and Applications (11 papers), Time Series Analysis and Forecasting (8 papers) and Neural Networks and Applications (8 papers). Dymitr Ruta is often cited by papers focused on Anomaly Detection Techniques and Applications (11 papers), Time Series Analysis and Forecasting (8 papers) and Neural Networks and Applications (8 papers). Dymitr Ruta collaborates with scholars based in United Arab Emirates, United Kingdom and United States. Dymitr Ruta's co-authors include Bogdan Gabryś, Ling Cen, Ashutosh Tiwari, Rajkumar Roy, Jason Ng, Quang Hieu Vu, Leigh Powell, Benjamin Hirsch, A. F. Isakovic and Fabrice Saffre and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Dymitr Ruta

59 papers receiving 1.5k citations

Author Peers

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

Author Last Decade Papers Cites
Dymitr Ruta 655 324 248 243 148 61 1.6k
Feras Al‐Obeidat 520 0.8× 115 0.4× 168 0.7× 325 1.3× 133 0.9× 97 1.3k
Asad Masood Khattak 682 1.0× 250 0.8× 120 0.5× 474 2.0× 94 0.6× 111 1.6k
Sajid Anwar 739 1.1× 490 1.5× 476 1.9× 416 1.7× 262 1.8× 60 1.9k
Arun K. Pujari 704 1.1× 355 1.1× 110 0.4× 586 2.4× 323 2.2× 83 1.6k
Yuanchun Jiang 522 0.8× 107 0.3× 248 1.0× 390 1.6× 72 0.5× 93 1.3k
Chuanren Liu 843 1.3× 193 0.6× 88 0.4× 426 1.8× 238 1.6× 92 1.9k
Dilip Singh Sisodia 781 1.2× 197 0.6× 55 0.2× 465 1.9× 184 1.2× 91 1.7k
Dimitris Kanellopoulos 789 1.2× 211 0.7× 62 0.3× 463 1.9× 146 1.0× 96 2.1k
Sougata Mukherjea 419 0.6× 435 1.3× 151 0.6× 513 2.1× 165 1.1× 70 1.5k
Daniel Aloise 558 0.9× 251 0.8× 36 0.1× 112 0.5× 226 1.5× 61 1.4k

Countries citing papers authored by Dymitr Ruta

Since Specialization
Citations

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

Fields of papers citing papers by Dymitr Ruta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dymitr Ruta

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