Erkan Beşdok

76 total papers · 2.1k total citations
55 papers, 1.6k citations indexed

About

Erkan Beşdok is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Erkan Beşdok has authored 55 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 11 papers in Signal Processing. Recurrent topics in Erkan Beşdok's work include Image and Signal Denoising Methods (12 papers), Metaheuristic Optimization Algorithms Research (9 papers) and Advanced Image Fusion Techniques (9 papers). Erkan Beşdok is often cited by papers focused on Image and Signal Denoising Methods (12 papers), Metaheuristic Optimization Algorithms Research (9 papers) and Advanced Image Fusion Techniques (9 papers). Erkan Beşdok collaborates with scholars based in Türkiye, Italy and Spain. Erkan Beşdok's co-authors include Pınar Çivicioğlu, Mehmet Akıf Günen, Mehmet Emin Yüksel, Ümit Haluk Atasever, Rıfat Kurban, Şeref Sağıroğlu, Mehmet Erler, Mustafa Alçı, Alper Baştürk and Coşkun Özkan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Sensors.

In The Last Decade

Erkan Beşdok

51 papers receiving 1.5k citations

Hit Papers

A conceptual comparison o... 2011 2026 2016 2021 2011 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Erkan Beşdok 630 467 246 235 191 55 1.6k
Patrick Siarry 874 1.4× 626 1.3× 410 1.7× 230 1.0× 272 1.4× 35 2.1k
Hui Huang 1.1k 1.7× 373 0.8× 267 1.1× 128 0.5× 132 0.7× 48 2.1k
Ayed Salman 1.2k 1.9× 401 0.9× 412 1.7× 108 0.5× 190 1.0× 47 2.1k
Xiangbing Zhou 697 1.1× 326 0.7× 201 0.8× 90 0.4× 384 2.0× 48 1.8k
Hao Gao 497 0.8× 605 1.3× 151 0.6× 154 0.7× 131 0.7× 113 1.3k
Malik Braik 1.0k 1.6× 352 0.8× 338 1.4× 101 0.4× 208 1.1× 48 2.3k
H. B. Mitchell 551 0.9× 287 0.6× 277 1.1× 170 0.7× 323 1.7× 39 1.6k
Heming Jia 943 1.5× 595 1.3× 329 1.3× 213 0.9× 180 0.9× 57 1.7k
Ralph R. Martin 437 0.7× 954 2.0× 308 1.3× 97 0.4× 194 1.0× 57 2.2k
Mukesh Saraswat 937 1.5× 741 1.6× 134 0.5× 235 1.0× 123 0.6× 66 1.8k

Countries citing papers authored by Erkan Beşdok

Since Specialization
Citations

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

Fields of papers citing papers by Erkan Beşdok

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erkan Beşdok

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