Cuneyt M. Taskiran

552 citations
23 papers · 352 indexed · h-index 11
Topics
Video Analysis and Summarization (17 papers)Music and Audio Processing (7 papers)Advanced Image and Video Retrieval Techniques (6 papers)
Journals
IEEE Transactions on MultimediaProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE

In The Last Decade

Cuneyt M. Taskiran

22 papers receiving 316 citations

Peers

Cuneyt M. Taskiran
Comparison fields: 5 of 42
  • Computer Vision and Pattern Recognition 318
  • Artificial Intelligence 99
  • Signal Processing 90
  • Sociology and Political Science 39
  • Information Systems 34
Replace Alexander Haubold with:
Alexander Haubold United States
Eric Zavesky United States
A. Yoshitaka Japan
Philippe Mulhem France
Yousri Abdeljaoued Switzerland
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Aladdin Ariyaeeinia United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Cuneyt M. Taskiran

Since Specialization
Citations

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

Fields of papers citing papers by Cuneyt M. Taskiran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cuneyt M. Taskiran. 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 Cuneyt M. Taskiran. The network helps show where Cuneyt M. Taskiran may publish in the future.

Co-authorship network of co-authors of Cuneyt M. Taskiran

This figure shows the co-authorship network connecting the top 25 collaborators of Cuneyt M. Taskiran. A scholar is included among the top collaborators of Cuneyt M. Taskiran 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 Cuneyt M. Taskiran. Cuneyt M. Taskiran is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
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2 44
3 10
4 1
5 71
6 18
7 44
8 2
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11 44
12 8
13 14
14 12
15 13
16
Discovering Video Structure Using the Pseudo-Semantic Trace
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17 1
18 15
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20 23

About Cuneyt M. Taskiran

Cuneyt M. Taskiran is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence, having authored 23 papers that have together received 352 indexed citations. Recurring topics across this work include Video Analysis and Summarization (17 papers), Music and Audio Processing (7 papers) and Advanced Image and Video Retrieval Techniques (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (318 citations), Signal Processing (90 citations) and Artificial Intelligence (99 citations). Cuneyt M. Taskiran has collaborated with scholars based in United States, Spain and Finland. Frequent co-authors include Edward J. Delp, Mercan Topkara, Charles A. Bouman, Umut Topkara, Alberto Albiol, Zygmunt Pizlo, L. Torres, Arnon Amir, Dulce Ponceleón and Anthony F. Martone. Their work appears in journals such as IEEE Transactions on Multimedia and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.

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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