Tarik Arici
- Computer Vision and Pattern Recognition top 1%
- Media Technology top 1%
- Computer Networks and Communications top 10%
- Atomic and Molecular Physics, and Optics
- Human-Computer Interaction top 5%
- Co-authors
- Y. AltunbasakSalih DikbasBuğra GedikShervin ShirmohammadiAli Asghar Nazari ShirehjiniParisa PouladzadehToygar AkgünJinyu Yang
- Topics
- Advanced Image Processing Techniques (4 papers)Image Enhancement Techniques (4 papers)Energy Efficient Wireless Sensor Networks (3 papers)
- Journals
- IEEE Transactions on Image ProcessingIEEE Transactions on Circuits and Systems for Video TechnologyMultimedia Tools and Applications
- Partner nations
- United StatesTürkiyeCanada
In The Last Decade
Tarik Arici
16 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Computer Vision and Pattern Recognition 881
- Media Technology 338
- Computer Networks and Communications 132
- Atomic and Molecular Physics, and Optics 100
- Human-Computer Interaction 100
Countries citing papers authored by Tarik Arici
This map shows the geographic impact of Tarik Arici'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 Tarik Arici with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tarik Arici more than expected).
Fields of papers citing papers by Tarik Arici
This network shows the impact of papers produced by Tarik Arici. 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 Tarik Arici. The network helps show where Tarik Arici may publish in the future.
Co-authorship network of co-authors of Tarik Arici
This figure shows the co-authorship network connecting the top 25 collaborators of Tarik Arici. A scholar is included among the top collaborators of Tarik Arici 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 Tarik Arici. Tarik Arici is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | MULTI-SPAN QUESTION ANSWERING USING SPAN-IMAGE NETWORK | 1 |
| 3 | 85 | |
| 4 | 58 | |
| 5 | 14 | |
| 6 | 40 | |
| 7 | 7 | |
| 8 | 36 | |
| 9 | A Histogram Modification Framework and Its Application for Image Contrast Enhancementbreakdown → | 688 |
| 10 | 1 | |
| 11 | 23 | |
| 12 | 6 | |
| 13 | 13 | |
| 14 | 4 | |
| 15 | 73 | |
| 16 | 48 |
About Tarik Arici
Tarik Arici is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Signal Processing, having authored 16 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Image Processing Techniques (4 papers), Image Enhancement Techniques (4 papers) and Energy Efficient Wireless Sensor Networks (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (881 citations), Media Technology (338 citations) and Human-Computer Interaction (100 citations). Tarik Arici has collaborated with scholars based in United States, Türkiye and Canada. Frequent co-authors include Y. Altunbasak, Salih Dikbas, Buğra Gedik, Shervin Shirmohammadi, Ali Asghar Nazari Shirehjini, Parisa Pouladzadeh, Toygar Akgün, Jinyu Yang and Hakan Ferhatosmanoğlu. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Circuits and Systems for Video Technology 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.