Vladimir Ćurić

26 total papers · 422 total citations
11 papers, 255 citations indexed

About

Vladimir Ćurić is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology and Biophysics. According to data from OpenAlex, Vladimir Ćurić has authored 11 papers receiving a total of 255 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 4 papers in Molecular Biology and 4 papers in Biophysics. Recurrent topics in Vladimir Ćurić's work include Medical Image Segmentation Techniques (6 papers), Digital Image Processing Techniques (5 papers) and Image Retrieval and Classification Techniques (3 papers). Vladimir Ćurić is often cited by papers focused on Medical Image Segmentation Techniques (6 papers), Digital Image Processing Techniques (5 papers) and Image Retrieval and Classification Techniques (3 papers). Vladimir Ćurić collaborates with scholars based in Sweden, Serbia and Germany. Vladimir Ćurić's co-authors include Johan Elf, David Fange, Daniel Jones, Prune Leroy, Cecilia Unoson, Michael J. Lawson, Martin Lindén, Elias Amselem, Cris L. Luengo Hendriks and Matthew J. Thurley and has published in prestigious journals such as Science, Nature Communications and Bioinformatics.

In The Last Decade

Vladimir Ćurić

10 papers receiving 251 citations

Author Peers

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

Author						Papers	Cites
Vladimir Ćurić	175	54	52	39	19	11	255
Katherine Celler	104 0.6×	40 0.7×	27 0.5×	3 0.1×	27 1.4×	8	205
Anastasiya Belyaeva	201 1.1×	31 0.6×	47 0.9×	7 0.2×		11	296
Kristian Kvilekval	81 0.5×	5 0.1×	102 2.0×	60 1.5×	9 0.5×	7	231
Robert Serafin	33 0.2×	46 0.9×	29 0.6×	8 0.2×	5 0.3×	11	163
Fanrui Meng	185 1.1×	15 0.3×	33 0.6×	2 0.1×	22 1.2×	17	319
Lucas von Chamier	63 0.4×	8 0.1×	77 1.5×	11 0.3×	12 0.6×	5	166
Miguel Ricardo Leung	139 0.8×	76 1.4×	10 0.2×	3 0.1×	33 1.7×	13	305
Francisco J. P. Lopes	223 1.3×	19 0.4×	19 0.4×	11 0.3×	1 0.1×	18	301
Clarissa Read	103 0.6×	5 0.1×	21 0.4×	10 0.3×	13 0.7×	19	207
Robert Bensch	101 0.6×	33 0.6×	27 0.5×	31 0.8×		13	180

Countries citing papers authored by Vladimir Ćurić

Since Specialization

Citations

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

Fields of papers citing papers by Vladimir Ćurić

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vladimir Ćurić

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