Mercan Topkara

33 total papers · 905 total citations
23 papers, 511 citations indexed

About

Mercan Topkara is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mercan Topkara has authored 23 papers receiving a total of 511 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 10 papers in Information Systems and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mercan Topkara's work include Natural Language Processing Techniques (6 papers), Advanced Steganography and Watermarking Techniques (6 papers) and Internet Traffic Analysis and Secure E-voting (5 papers). Mercan Topkara is often cited by papers focused on Natural Language Processing Techniques (6 papers), Advanced Steganography and Watermarking Techniques (6 papers) and Internet Traffic Analysis and Secure E-voting (5 papers). Mercan Topkara collaborates with scholars based in United States, Switzerland and United Kingdom. Mercan Topkara's co-authors include Mikhail J. Atallah, Umut Topkara, Edward J. Delp, Cuneyt M. Taskiran, Keith B. Frikken, Giuseppe Riccardi, Dilek Hakkani‐Tür, Shimei Pan, Yangqiu Song and Jie Lü and has published in prestigious journals such as ACM Transactions on Interactive Intelligent Systems, International Journal of Multimedia Information Retrieval and Rare & Special e-Zone (The Hong Kong University of Science and Technology).

In The Last Decade

Mercan Topkara

22 papers receiving 449 citations

Author Peers

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

Author						Papers	Cites
Mercan Topkara	349	301	143	33	24	23	511
Esam Khan	295 0.8×	176 0.6×	75 0.5×	29 0.9×	31 1.3×	29	492
Shuli Zheng	429 1.2×	148 0.5×	93 0.7×	21 0.6×	33 1.4×	26	573
Bhavani Raskutti	99 0.3×	423 1.4×	112 0.8×	41 1.2×	22 0.9×	18	517
Dongyang Wang	108 0.3×	282 0.9×	66 0.5×	12 0.4×	50 2.1×	23	460
Umut Topkara	297 0.9×	217 0.7×	149 1.0×	90 2.7×	26 1.1×	21	597
Weihong Qian	311 0.9×	294 1.0×	100 0.7×	71 2.2×	28 1.2×	16	559
Ashok C. Popat	108 0.3×	441 1.5×	85 0.6×	34 1.0×	31 1.3×	17	548
Fan Guo	139 0.4×	184 0.6×	336 2.3×	57 1.7×	81 3.4×	25	532
Huwida Said	325 0.9×	153 0.5×	159 1.1×	100 3.0×	50 2.1×	27	509
Nicolas Usunier	205 0.6×	409 1.4×	134 0.9×	44 1.3×	19 0.8×	34	586

Countries citing papers authored by Mercan Topkara

Since Specialization

Citations

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

Fields of papers citing papers by Mercan Topkara

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mercan Topkara

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