Meltem Demirkus

902 citations
13 papers · 577 indexed · h-index 10
Topics
Face recognition and analysis (8 papers)Face and Expression Recognition (7 papers)Video Surveillance and Tracking Methods (6 papers)

In The Last Decade

Meltem Demirkus

13 papers receiving 516 citations

Peers

Meltem Demirkus
Comparison fields: 5 of 72
  • Signal Processing 395
  • Computer Vision and Pattern Recognition 338
  • Safety Research 163
  • Information Systems 102
  • Genetics 92
Replace Neil Yager with:
Neil Yager Australia
Elham Tabassi United States
Soweon Yoon United States
Ana F. Sequeira Portugal
Bozhao Tan United States
Xianchao Qiu China
Sunpreet S. Arora United States
David Yambay United States
K. Kollreider Sweden
Emanuela Marasco United States
Meltem Demirkus relative to Neil Yager Australia Neil Yager's profile →
Citations per field
00.5×4.3×
Neil Yager · 1×
Citations per year

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

13 of 13 papers shown
#WorkIndexed citations
1 8
2 16
3 10
4 10
5 22
6 12
7 7
8 21
9 40
10
Intuvision Event Detection System FORTRECVID 2008.
2
11 66
12 274
13 89

About Meltem Demirkus

Meltem Demirkus is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Safety Research, having authored 13 papers that have together received 577 indexed citations. Recurring topics across this work include Face recognition and analysis (8 papers), Face and Expression Recognition (7 papers) and Video Surveillance and Tracking Methods (6 papers). The work is most often cited by research in Signal Processing (395 citations), Safety Research (163 citations) and Computer Vision and Pattern Recognition (338 citations). Meltem Demirkus has collaborated with scholars based in Canada, United States and Sweden. Frequent co-authors include Yi Chen, Anil K. Jain, Tal Arbel, James J. Clark, Kshitiz Garg, Umut Uludağ, Anil Jain, Robert K. Rowe, Doina Precup and Matthew Toews. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Computer Vision and Image Understanding and Multimedia Tools and Applications.

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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