Volkan Cirik
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Aerospace Engineering
- Control and Systems Engineering
- Social Psychology
- Co-authors
- Taylor Berg-KirkpatrickLouis–Philippe MorencyDeniz YüretAnna RohrbachRonghang HuDan KleinTrevor DarrellDaniel Fried
- Topics
- Natural Language Processing Techniques (7 papers)Multimodal Machine Learning Applications (7 papers)Topic Modeling (4 papers)
- Cited by
- Computer Vision and Pattern RecognitionArtificial IntelligenceComputer Science Applications
- Journals
- arXiv (Cornell University)Meeting of the Association for Computational LinguisticsProceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Partner nations
- United StatesTürkiyeGermany
In The Last Decade
Volkan Cirik
9 papers receiving 172 citations
Peers
Comparison fields: 5 of 18
- Artificial Intelligence 150
- Computer Vision and Pattern Recognition 139
- Aerospace Engineering 7
- Control and Systems Engineering 4
- Social Psychology 3
Countries citing papers authored by Volkan Cirik
This map shows the geographic impact of Volkan Cirik'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 Volkan Cirik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Volkan Cirik more than expected).
Fields of papers citing papers by Volkan Cirik
This network shows the impact of papers produced by Volkan Cirik. 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 Volkan Cirik. The network helps show where Volkan Cirik may publish in the future.
Co-authorship network of co-authors of Volkan Cirik
This figure shows the co-authorship network connecting the top 25 collaborators of Volkan Cirik. A scholar is included among the top collaborators of Volkan Cirik 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 Volkan Cirik. Volkan Cirik 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 | Refer360$^\circ$: A Referring Expression Recognition Dataset in 360$^\circ$ Images. | 1 |
| 3 | 7 | |
| 4 | 26 | |
| 5 | Speaker-Follower Models for Vision-and-Language Navigation | 61 |
| 6 | 36 | |
| 7 | 16 | |
| 8 | AI-KU: Using Substitute Vectors and Co-Occurrence Modeling For Word Sense Induction and Disambiguation | 27 |
| 9 | 4 |
About Volkan Cirik
Volkan Cirik is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Infectious Diseases, having authored 9 papers that have together received 180 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (7 papers), Multimodal Machine Learning Applications (7 papers) and Topic Modeling (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (139 citations), Artificial Intelligence (150 citations) and Computer Science Applications (2 citations). Volkan Cirik has collaborated with scholars based in United States, Türkiye and Germany. Frequent co-authors include Taylor Berg-Kirkpatrick, Louis–Philippe Morency, Deniz Yüret, Anna Rohrbach, Ronghang Hu, Dan Klein, Trevor Darrell, Daniel Fried, Kate Saenko and Jacob Andreas. Their work appears in journals such as arXiv (Cornell University), Meeting of the Association for Computational Linguistics and Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).
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.