Roman Filipovych

27 total papers · 460 total citations
14 papers, 309 citations indexed

About

Roman Filipovych is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, Roman Filipovych has authored 14 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 4 papers in Cognitive Neuroscience and 4 papers in Artificial Intelligence. Recurrent topics in Roman Filipovych's work include Human Pose and Action Recognition (4 papers), Functional Brain Connectivity Studies (4 papers) and Medical Image Segmentation Techniques (3 papers). Roman Filipovych is often cited by papers focused on Human Pose and Action Recognition (4 papers), Functional Brain Connectivity Studies (4 papers) and Medical Image Segmentation Techniques (3 papers). Roman Filipovych collaborates with scholars based in United States. Roman Filipovych's co-authors include Christos Davatzikos, Eraldo Ribeiro, Susan M. Resnick, Ruben C. Gur, Theodore D. Satterthwaite, Harini Eavani, Raquel E. Gur, Bilwaj Gaonkar, Ying Wang and Mark B. Bush and has published in prestigious journals such as NeuroImage, IEEE Transactions on Medical Imaging and Computer Vision and Image Understanding.

In The Last Decade

Roman Filipovych

14 papers receiving 302 citations

Author Peers

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

Author						Papers	Cites
Roman Filipovych	135	98	82	81	51	14	309
Benedikt A. Jónsson	101 0.7×	92 0.9×	63 0.8×	32 0.4×	47 0.9×	7	266
Shengwen Guo	114 0.8×	79 0.8×	47 0.6×	60 0.7×	87 1.7×	24	303
Vikram Venkatraghavan	87 0.6×	94 1.0×	95 1.2×	49 0.6×	98 1.9×	24	364
Jianping Qiao	129 1.0×	66 0.7×	33 0.4×	63 0.8×	28 0.5×	29	315
David Manset	61 0.5×	54 0.6×	62 0.8×	28 0.3×	44 0.9×	22	324
Boris Mansencal	62 0.5×	48 0.5×	44 0.5×	69 0.9×	58 1.1×	20	253
Xuegang Song	140 1.0×	77 0.8×	98 1.2×	35 0.4×	59 1.2×	17	363
Farnaz Farokhian	127 0.9×	131 1.3×	28 0.3×	51 0.6×	98 1.9×	8	346
Tongtong Che	62 0.5×	138 1.4×	64 0.8×	64 0.8×	42 0.8×	21	296
Maite García‐Sebastián	118 0.9×	61 0.6×	44 0.5×	53 0.7×	125 2.5×	24	327

Countries citing papers authored by Roman Filipovych

Since Specialization

Citations

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

Fields of papers citing papers by Roman Filipovych

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roman Filipovych

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