Muzafer Saračević

132 total papers · 933 total citations
68 papers, 613 citations indexed

About

Muzafer Saračević is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Muzafer Saračević has authored 68 papers receiving a total of 613 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Vision and Pattern Recognition, 15 papers in Artificial Intelligence and 13 papers in Information Systems. Recurrent topics in Muzafer Saračević's work include Chaos-based Image/Signal Encryption (14 papers), Advanced Steganography and Watermarking Techniques (9 papers) and Biometric Identification and Security (7 papers). Muzafer Saračević is often cited by papers focused on Chaos-based Image/Signal Encryption (14 papers), Advanced Steganography and Watermarking Techniques (9 papers) and Biometric Identification and Security (7 papers). Muzafer Saračević collaborates with scholars based in Serbia, India and Türkiye. Muzafer Saračević's co-authors include Saša Adamović, Nemanja Maček, Dragiša Stanujkić, Darjan Karabašević, Mohamed Elhoseny, Vani Rajasekar, J. Premalatha, Marko Šarac, Jasmin Kevrić and Bratislav Predić and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Future Generation Computer Systems.

In The Last Decade

Muzafer Saračević

60 papers receiving 559 citations

Author Peers

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

Author Last Decade Papers Cites
Muzafer Saračević 204 148 137 116 73 68 613
Eun‐Soo Kim 192 0.9× 181 1.2× 163 1.2× 114 1.0× 144 2.0× 65 658
Wookey Lee 151 0.7× 220 1.5× 106 0.8× 127 1.1× 84 1.2× 67 552
Marcin Korytkowski 127 0.6× 246 1.7× 97 0.7× 133 1.1× 75 1.0× 49 542
Alok Kumar Jagadev 107 0.5× 268 1.8× 72 0.5× 173 1.5× 89 1.2× 53 692
Alexander G. Ororbia 157 0.8× 312 2.1× 89 0.6× 92 0.8× 72 1.0× 42 563
Norita Md Norwawi 76 0.4× 164 1.1× 102 0.7× 194 1.7× 86 1.2× 86 550
Nittaya Kerdprasop 75 0.4× 266 1.8× 80 0.6× 124 1.1× 56 0.8× 86 670
Don‐Lin Yang 156 0.8× 201 1.4× 72 0.5× 191 1.6× 134 1.8× 72 619
Weiyi Liu 98 0.5× 273 1.8× 85 0.6× 95 0.8× 110 1.5× 66 549
Peter Malík 92 0.5× 194 1.3× 69 0.5× 71 0.6× 79 1.1× 31 621

Countries citing papers authored by Muzafer Saračević

Since Specialization
Citations

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

Fields of papers citing papers by Muzafer Saračević

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muzafer Saračević

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