Meltem Demirkus

16 total papers · 901 total citations
13 papers, 578 citations indexed

About

Meltem Demirkus is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Safety Research. According to data from OpenAlex, Meltem Demirkus has authored 13 papers receiving a total of 578 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 5 papers in Signal Processing and 2 papers in Safety Research. Recurrent topics in Meltem Demirkus's work include Face recognition and analysis (8 papers), Face and Expression Recognition (7 papers) and Video Surveillance and Tracking Methods (6 papers). Meltem Demirkus is often cited by papers focused on Face recognition and analysis (8 papers), Face and Expression Recognition (7 papers) and Video Surveillance and Tracking Methods (6 papers). Meltem Demirkus collaborates with scholars based in Canada, United States and Sweden. Meltem Demirkus's co-authors include Anil K. Jain, Yi Chen, James J. Clark, Tal Arbel, Kshitiz Garg, Robert K. Rowe, Anil Jain, Umut Uludağ, Doina Precup and Matthew Toews and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Computer Vision and Image Understanding and Multimedia Tools and Applications.

In The Last Decade

Meltem Demirkus

13 papers receiving 516 citations

Author Peers

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

Author Last Decade Papers Cites
Meltem Demirkus 395 338 163 102 92 13 578
Neil Yager 497 1.3× 343 1.0× 138 0.8× 223 2.2× 64 0.7× 11 598
Elham Tabassi 447 1.1× 466 1.4× 107 0.7× 110 1.1× 45 0.5× 27 678
Anush Sankaran 400 1.0× 261 0.8× 202 1.2× 165 1.6× 72 0.8× 24 597
Xianchao Qiu 427 1.1× 273 0.8× 84 0.5× 206 2.0× 91 1.0× 10 518
Eryun Liu 494 1.3× 369 1.1× 166 1.0× 162 1.6× 110 1.2× 37 657
David Yambay 580 1.5× 317 0.9× 284 1.7× 194 1.9× 135 1.5× 11 596
Arun Ross 496 1.3× 374 1.1× 87 0.5× 213 2.1× 53 0.6× 5 571
Emanuela Marasco 501 1.3× 296 0.9× 233 1.4× 227 2.2× 74 0.8× 40 576
Jen‐Chun Lee 336 0.9× 449 1.3× 50 0.3× 96 0.9× 81 0.9× 26 684
Tejas I. Dhamecha 376 1.0× 468 1.4× 32 0.2× 93 0.9× 31 0.3× 22 642

Countries citing papers authored by Meltem Demirkus

Since Specialization
Citations

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

Fields of papers citing papers by Meltem Demirkus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meltem Demirkus

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