Filip Radenović

38 total papers · 1.8k total citations
8 papers, 387 citations indexed

About

Filip Radenović is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Civil and Structural Engineering. According to data from OpenAlex, Filip Radenović has authored 8 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 3 papers in Aerospace Engineering and 1 paper in Civil and Structural Engineering. Recurrent topics in Filip Radenović's work include Advanced Image and Video Retrieval Techniques (6 papers), Multimodal Machine Learning Applications (4 papers) and Image Retrieval and Classification Techniques (3 papers). Filip Radenović is often cited by papers focused on Advanced Image and Video Retrieval Techniques (6 papers), Multimodal Machine Learning Applications (4 papers) and Image Retrieval and Classification Techniques (3 papers). Filip Radenović collaborates with scholars based in Czechia, Switzerland and United States. Filip Radenović's co-authors include Ondřej Chum, Jiřı́ Matas, Dmytro Mishkin, Jan‐Michael Frahm, Johannes L. Schönberger, Konrad Schindler, Marc Pollefeys, Torsten Sattler, Michal Havlena and Ahmet İşcen and has published in prestigious journals such as Signal Processing, arXiv (Cornell University) and Neural Information Processing Systems.

In The Last Decade

Filip Radenović

8 papers receiving 374 citations

Author Peers

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

Author						Papers	Cites
Filip Radenović	352	217	59	41	24	8	387
Dmytro Mishkin	277 0.8×	159 0.7×	76 1.3×	29 0.7×	27 1.1×	9	418
Pierre Moreels	339 1.0×	230 1.1×	16 0.3×	35 0.9×	37 1.5×	8	412
Fei Xue	321 0.9×	263 1.2×	33 0.6×	66 1.6×	30 1.3×	14	372
M. Zuliani	284 0.8×	146 0.7×	40 0.7×	33 0.8×	23 1.0×	10	345
Pascal Lagger	321 0.9×	112 0.5×	32 0.5×	31 0.8×	18 0.8×	6	349
Zhaoyin Jia	307 0.9×	123 0.6×	26 0.4×	19 0.5×	34 1.4×	10	337
Y. Yakimovsky	289 0.8×	125 0.6×	31 0.5×	32 0.8×	52 2.2×	11	382
Yurun Tian	360 1.0×	252 1.2×	35 0.6×	32 0.8×	43 1.8×	5	420
P. Whaite	312 0.9×	210 1.0×	52 0.9×	52 1.3×	17 0.7×	11	414
Timo Pylvänäinen	318 0.9×	286 1.3×	37 0.6×	56 1.4×	25 1.0×	6	443

Countries citing papers authored by Filip Radenović

Since Specialization

Citations

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

Fields of papers citing papers by Filip Radenović

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Filip Radenović

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