Roman Rybka

106 total papers · 573 total citations
54 papers, 327 citations indexed

About

Roman Rybka is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Cognitive Neuroscience. According to data from OpenAlex, Roman Rybka has authored 54 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 19 papers in Electrical and Electronic Engineering and 17 papers in Cognitive Neuroscience. Recurrent topics in Roman Rybka's work include Advanced Memory and Neural Computing (19 papers), Topic Modeling (18 papers) and Neural dynamics and brain function (17 papers). Roman Rybka is often cited by papers focused on Advanced Memory and Neural Computing (19 papers), Topic Modeling (18 papers) and Neural dynamics and brain function (17 papers). Roman Rybka collaborates with scholars based in Russia, Taiwan and China. Roman Rybka's co-authors include Alexander Sboev, Tatiana Litvinova, В. А. Демин, Nikolay A. Kudryashov, K. E. Nikiruy, A. V. Emelyanov, M. V. Kovalchuk, П. К. Кашкаров, Anton Selivanov and А. В. Ситников and has published in prestigious journals such as Nanotechnology, Neural Networks and Chaos Solitons & Fractals.

In The Last Decade

Roman Rybka

49 papers receiving 317 citations

Author Peers

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

Author						Papers	Cites
Roman Rybka	164	155	84	79	33	54	327
Cheng Zhang	148 0.9×	64 0.4×	53 0.6×	25 0.3×	19 0.6×	33	321
Ethan Farquhar	82 0.5×	260 1.7×	111 1.3×	128 1.6×	6 0.2×	19	331
Wenxiang Dong	45 0.3×	95 0.6×	38 0.5×	13 0.2×	63 1.9×	33	351
Yaoyu Tao	77 0.5×	235 1.5×	29 0.3×	22 0.3×	23 0.7×	31	321
Christian Huyck	198 1.2×	74 0.5×	35 0.4×	139 1.8×	32 1.0×	53	341
Manuel Sánchez-Montañés	85 0.5×	22 0.1×	27 0.3×	46 0.6×	17 0.5×	33	314
Luís F. Seoane	72 0.4×	56 0.4×	33 0.4×	90 1.1×	3 0.1×	28	245
E. Grace Mary Kanaga	97 0.6×	41 0.3×	9 0.1×	29 0.4×	32 1.0×	47	297
Tom Smith	211 1.3×	31 0.2×	20 0.2×	95 1.2×	7 0.2×	22	350
Giovanni E. Pazienza	53 0.3×	162 1.0×	65 0.8×	51 0.6×	3 0.1×	34	244

Countries citing papers authored by Roman Rybka

Since Specialization

Citations

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

Fields of papers citing papers by Roman Rybka

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roman Rybka

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