Candemir Toklu
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 5%
- Building and Construction top 10%
- Artificial Intelligence
- Computer Graphics and Computer-Aided Design top 5%
- Co-authors
- A. Murat TekalpJiangbo DangA. Tanju ErdemShih-Ping LiouM. Ibrahim SezanBilge GünselPeter van BeekMousumi Das
- Topics
- Advanced Vision and Imaging (10 papers)Video Analysis and Summarization (7 papers)Computer Graphics and Visualization Techniques (7 papers)
- Cited by
- Signal ProcessingComputer Graphics and Computer-Aided DesignComputer Vision and Pattern Recognition
- Journals
- Proceedings of the IEEEIEEE Transactions on Image ProcessingIEEE Transactions on Circuits and Systems for Video Technology
- Partner nations
- United StatesTürkiyeGermany
In The Last Decade
Candemir Toklu
19 papers receiving 340 citations
Peers
Comparison fields: 5 of 59
- Computer Vision and Pattern Recognition 228
- Signal Processing 124
- Building and Construction 49
- Artificial Intelligence 48
- Computer Graphics and Computer-Aided Design 39
Countries citing papers authored by Candemir Toklu
This map shows the geographic impact of Candemir Toklu'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 Candemir Toklu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Candemir Toklu more than expected).
Fields of papers citing papers by Candemir Toklu
This network shows the impact of papers produced by Candemir Toklu. 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 Candemir Toklu. The network helps show where Candemir Toklu may publish in the future.
Co-authorship network of co-authors of Candemir Toklu
This figure shows the co-authorship network connecting the top 25 collaborators of Candemir Toklu. A scholar is included among the top collaborators of Candemir Toklu 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 Candemir Toklu. Candemir Toklu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 48 | |
| 2 | Bridging the Semantic Gap Between Process Documentation and Process Execution. | 6 |
| 3 | 63 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 8 | |
| 7 | 2 | |
| 8 | 11 | |
| 9 | 18 | |
| 10 | 5 | |
| 11 | 5 | |
| 12 | 32 | |
| 13 | 6 | |
| 14 | 17 | |
| 15 | 0 | |
| 16 | 14 | |
| 17 | 1 | |
| 18 | 56 | |
| 19 | 10 | |
| 20 | 54 |
About Candemir Toklu
Candemir Toklu is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Management Information Systems, having authored 22 papers that have together received 363 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (10 papers), Video Analysis and Summarization (7 papers) and Computer Graphics and Visualization Techniques (7 papers). The work is most often cited by research in Signal Processing (124 citations), Computer Graphics and Computer-Aided Design (39 citations) and Computer Vision and Pattern Recognition (228 citations). Candemir Toklu has collaborated with scholars based in United States, Türkiye and Germany. Frequent co-authors include A. Murat Tekalp, Jiangbo Dang, A. Tanju Erdem, Shih-Ping Liou, M. Ibrahim Sezan, Bilge Günsel, Peter van Beek, Mousumi Das, P. Erhan Eren and Guido Wirtz. Their work appears in journals such as Proceedings of the IEEE, IEEE Transactions on Image Processing and IEEE Transactions on Circuits and Systems for Video Technology.
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.