Roman Ďurikovič

100 total papers · 400 total citations
52 papers, 255 citations indexed

About

Roman Ďurikovič is a scholar working on Computer Graphics and Computer-Aided Design, Computational Mechanics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Roman Ďurikovič has authored 52 papers receiving a total of 255 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Graphics and Computer-Aided Design, 28 papers in Computational Mechanics and 18 papers in Computer Vision and Pattern Recognition. Recurrent topics in Roman Ďurikovič's work include Computer Graphics and Visualization Techniques (31 papers), 3D Shape Modeling and Analysis (17 papers) and Color Science and Applications (8 papers). Roman Ďurikovič is often cited by papers focused on Computer Graphics and Visualization Techniques (31 papers), 3D Shape Modeling and Analysis (17 papers) and Color Science and Applications (8 papers). Roman Ďurikovič collaborates with scholars based in Slovakia, Japan and Germany. Roman Ďurikovič's co-authors include Hideo Yamashita, Kazufumi Kaneda, Sergey Ershov, Karol Myszkowski, Silvester Czanner, William L. Martens, Hanspeter Pfister, David I. W. Levin, Wojciech Matusik and Piotr Didyk and has published in prestigious journals such as ACM Transactions on Graphics, Applied Surface Science and Computer Graphics Forum.

In The Last Decade

Roman Ďurikovič

43 papers receiving 234 citations

Author Peers

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

Author						Papers	Cites
Roman Ďurikovič	118	109	103	41	19	52	255
Luís Paulo Santos	109 0.9×	42 0.4×	189 1.8×	45 1.1×	31 1.6×	46	331
Robert F. Tobler	149 1.3×	61 0.6×	148 1.4×	32 0.8×	3 0.2×	42	265
Martin Fuchs	86 0.7×	66 0.6×	140 1.4×	25 0.6×	3 0.2×	31	283
Miklós Hoffmann	61 0.5×	145 1.3×	106 1.0×	11 0.3×	14 0.7×	44	300
Hiroyuki Kubo	58 0.5×	26 0.2×	200 1.9×	19 0.5×	14 0.7×	59	312
Jieun Lee	44 0.4×	66 0.6×	95 0.9×	21 0.5×	23 1.2×	53	290
Tian Feng	45 0.4×	37 0.3×	100 1.0×	15 0.4×	7 0.4×	39	265
Yoichiro Kawaguchi	93 0.8×	124 1.1×	51 0.5×	7 0.2×	31 1.6×	38	272
Kapil Dev	21 0.2×	40 0.4×	46 0.4×	45 1.1×	25 1.3×	37	287
W.T. Hewitt	106 0.9×	145 1.3×	70 0.7×	6 0.1×	6 0.3×	27	305

Countries citing papers authored by Roman Ďurikovič

Since Specialization

Citations

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

Fields of papers citing papers by Roman Ďurikovič

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roman Ďurikovič

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