Umut Topkara

31 total papers · 1.1k total citations
21 papers, 597 citations indexed

About

Umut Topkara is a scholar working on Computer Vision and Pattern Recognition, Information Systems and Artificial Intelligence. According to data from OpenAlex, Umut Topkara has authored 21 papers receiving a total of 597 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 10 papers in Information Systems and 8 papers in Artificial Intelligence. Recurrent topics in Umut Topkara's work include Advanced Steganography and Watermarking Techniques (7 papers), User Authentication and Security Systems (7 papers) and Internet Traffic Analysis and Secure E-voting (4 papers). Umut Topkara is often cited by papers focused on Advanced Steganography and Watermarking Techniques (7 papers), User Authentication and Security Systems (7 papers) and Internet Traffic Analysis and Secure E-voting (4 papers). Umut Topkara collaborates with scholars based in United States. Umut Topkara's co-authors include Mercan Topkara, Mikhail J. Atallah, Mehmet Koyutürk, Ananth Grama, Shankar Subramaniam, Wojciech Szpankowski, Yohan Kim, Cuneyt M. Taskiran, Edward J. Delp and Bogdan Cărbunar and has published in prestigious journals such as Bioinformatics, IEEE Transactions on Mobile Computing and Journal of Computational Biology.

In The Last Decade

Umut Topkara

20 papers receiving 543 citations

Author Peers

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

Author						Papers	Cites
Umut Topkara	297	217	171	149	90	21	597
Gjorgji Madjarov	208 0.7×	522 2.4×	131 0.8×	178 1.2×	32 0.4×	18	685
Ruoyu Zhao	373 1.3×	149 0.7×	21 0.1×	63 0.4×	95 1.1×	46	558
Thomas A. Nartker	371 1.2×	240 1.1×	29 0.2×	115 0.8×	39 0.4×	24	564
Kim Shearer	382 1.3×	239 1.1×	60 0.4×	93 0.6×	148 1.6×	12	574
Bhavani Raskutti	99 0.3×	423 1.9×	38 0.2×	112 0.8×	41 0.5×	18	517
Subariah Ibrahim	363 1.2×	131 0.6×	24 0.1×	86 0.6×	79 0.9×	47	510
Nikolaos Pappas	244 0.8×	498 2.3×	28 0.2×	131 0.9×	51 0.6×	33	693
Laiphrakpam Dolendro Singh	525 1.8×	202 0.9×	16 0.1×	144 1.0×	32 0.4×	26	603
Michael Balzer	411 1.4×	80 0.4×	19 0.1×	79 0.5×	106 1.2×	15	552
George I. Davida	260 0.9×	210 1.0×	29 0.2×	250 1.7×	275 3.1×	37	577

Countries citing papers authored by Umut Topkara

Since Specialization

Citations

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

Fields of papers citing papers by Umut Topkara

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Umut Topkara

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