Mehmet Çelenk
- Computer Vision and Pattern Recognition top 2%
- Media Technology top 2%
- Artificial Intelligence top 10%
- Automotive Engineering top 10%
- Computer Networks and Communications
- Co-authors
- Haluk ErenLimin MaYuan ShaoJames GrahamJohn O. WillisHasan KürümDavid ChelbergQiang Zhou
- Topics
- Image Retrieval and Classification Techniques (24 papers)Advanced Image and Video Retrieval Techniques (18 papers)Advanced Vision and Imaging (16 papers)
- Partner nations
- United StatesTürkiyeChina
In The Last Decade
Mehmet Çelenk
101 papers receiving 652 citations
Peers
Comparison fields: 5 of 98
- Computer Vision and Pattern Recognition 426
- Media Technology 151
- Artificial Intelligence 125
- Automotive Engineering 83
- Computer Networks and Communications 57
Countries citing papers authored by Mehmet Çelenk
This map shows the geographic impact of Mehmet Çelenk'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 Mehmet Çelenk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mehmet Çelenk more than expected).
Fields of papers citing papers by Mehmet Çelenk
This network shows the impact of papers produced by Mehmet Çelenk. 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 Mehmet Çelenk. The network helps show where Mehmet Çelenk may publish in the future.
Co-authorship network of co-authors of Mehmet Çelenk
This figure shows the co-authorship network connecting the top 25 collaborators of Mehmet Çelenk. A scholar is included among the top collaborators of Mehmet Çelenk 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 Mehmet Çelenk. Mehmet Çelenk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | The Factor of Sect in Yemen Politics in the Arab Spring Period | 1 |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 13 | |
| 6 | 1 | |
| 7 | 7 | |
| 8 | 1 | |
| 9 | 11 | |
| 10 | 0 | |
| 11 | 14 | |
| 12 | 2 | |
| 13 | 2 | |
| 14 | 20 | |
| 15 | 0 | |
| 16 | 2 | |
| 17 | 1 | |
| 18 | Higher order spectra invariants for shape pattern recognition | 1 |
| 19 | 1 | |
| 20 | 2 |
About Mehmet Çelenk
Mehmet Çelenk is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Automotive Engineering, having authored 124 papers that have together received 712 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (24 papers), Advanced Image and Video Retrieval Techniques (18 papers) and Advanced Vision and Imaging (16 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (426 citations), Media Technology (151 citations) and Automotive Engineering (83 citations). Mehmet Çelenk has collaborated with scholars based in United States, Türkiye and China. Frequent co-authors include Haluk Eren, Limin Ma, Yuan Shao, James Graham, John O. Willis, Hasan Kürüm, David Chelberg, Qiang Zhou, Michael T. Eismann and Mehmet Ali Akınlar. Their work appears in journals such as Sensors, Pattern Recognition and IEEE Transactions on Intelligent Transportation Systems.
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.