Denis Gračanin

290 total papers · 2.5k total citations
175 papers, 1.3k citations indexed

About

Denis Gračanin is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Denis Gračanin has authored 175 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Computer Vision and Pattern Recognition, 51 papers in Computer Networks and Communications and 30 papers in Information Systems. Recurrent topics in Denis Gračanin's work include Data Visualization and Analytics (28 papers), Peer-to-Peer Network Technologies (16 papers) and Computer Graphics and Visualization Techniques (14 papers). Denis Gračanin is often cited by papers focused on Data Visualization and Analytics (28 papers), Peer-to-Peer Network Technologies (16 papers) and Computer Graphics and Visualization Techniques (14 papers). Denis Gračanin collaborates with scholars based in United States, Austria and Norway. Denis Gračanin's co-authors include Krešimir Matković, Helwig Hauser, Kimon P. Valavanis, Maja Matijašević, Mohamed Eltoweissy, Ramesh Kolluru, Jisun Kim, Francis Quek, Hicham G. Elmongui and Susan W. White and has published in prestigious journals such as IEEE Communications Magazine, IEEE Journal on Selected Areas in Communications and IEEE Access.

In The Last Decade

Denis Gračanin

167 papers receiving 1.3k citations

Author Peers

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

Author Last Decade Papers Cites
Denis Gračanin 519 272 247 183 171 175 1.3k
Mario Muñoz-Organero 297 0.6× 258 0.9× 290 1.2× 276 1.5× 101 0.6× 105 1.7k
Esteban Clua 358 0.7× 128 0.5× 160 0.6× 124 0.7× 85 0.5× 187 1.1k
Yuanlong Yu 644 1.2× 166 0.6× 508 2.1× 207 1.1× 136 0.8× 103 1.4k
Jingying Chen 624 1.2× 372 1.4× 226 0.9× 254 1.4× 43 0.3× 103 1.8k
Bruno Bouchard 673 1.3× 312 1.1× 172 0.7× 70 0.4× 95 0.6× 120 1.2k
Bradley J. Rhodes 618 1.2× 280 1.0× 517 2.1× 232 1.3× 93 0.5× 50 1.8k
Ken Sakamura 250 0.5× 513 1.9× 193 0.8× 295 1.6× 62 0.4× 194 1.5k
Don Brutzman 428 0.8× 621 2.3× 129 0.5× 137 0.7× 193 1.1× 88 1.5k
Haibo Li 630 1.2× 178 0.7× 269 1.1× 161 0.9× 64 0.4× 97 1.6k
Naveen Aggarwal 495 1.0× 261 1.0× 233 0.9× 205 1.1× 120 0.7× 99 1.4k

Countries citing papers authored by Denis Gračanin

Since Specialization
Citations

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

Fields of papers citing papers by Denis Gračanin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Denis Gračanin

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