Barlas Oğuz
Impact in
- Artificial Intelligence top 10%
- Topic Modeling
- Natural Language Processing Techniques
- Domain Adaptation and Few-Shot Learning
- Advanced Graph Neural Networks
- Speech Recognition and Synthesis
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- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
Papers in
-
- Natural Language Processing Techniques 13
- Topic Modeling 13
- Speech Recognition and Synthesis 4
- Algorithms and Data Compression 3
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- Multimodal Machine Learning Applications 7
- Image and Signal Denoising Methods 2
- Co-authors
- Yashar Mehdad (10 shared papers)Xilun Chen (9 shared papers)Sonal Gupta (4 shared papers)Scott Yih (5 shared papers)Vladimir Karpukhin (2 shared papers)Haoran Li (1 shared paper)Patrick Lewis (3 shared papers)Zechun Liu (3 shared papers)
- Journals
- Journal of Applied Probability (1 paper)IEEE/ACM Transactions on Networking (1 paper)Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2 papers)Bilkent University Institutional Repository (Bilkent University) (2 papers)UCL Discovery (University College London) (1 paper)
- Partner nations
- United StatesFinlandTürkiye
In The Last Decade
Barlas Oğuz
26 papers receiving 270 citations
Peers
Comparison fields: 5 of 61
- Artificial Intelligence 198
- Computer Vision and Pattern Recognition 94
- Health Informatics 4
- Computational Mathematics 1
- Computer Networks and Communications 27
Countries citing papers authored by Barlas Oğuz
This map shows the geographic impact of Barlas Oğuz'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 Barlas Oğuz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barlas Oğuz more than expected).
Fields of papers citing papers by Barlas Oğuz
This network shows the impact of papers produced by Barlas Oğuz. 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 Barlas Oğuz. The network helps show where Barlas Oğuz may publish in the future.
Co-authors
The 25 scholars most cited alongside Barlas Oğuz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 51 | |
| 2 | 2022 | 46 | |
| 3 | 2022 | 30 | |
| 4 | 2022 | 25 | |
| 5 | 2018 | 21 | |
| 6 | 2013 | 20 | |
| 7 | 2023 | 17 | |
| 8 | 2024 | 10 | |
| 9 | 2023 | 10 | |
| 10 | 2022 | 8 | |
| 11 | 2014 | 7 | |
| 12 | 2022 | 6 | |
| 13 | 2009 | 6 | |
| 14 | 2022 | 5 | |
| 15 | 2012 | 5 | |
| 16 | 2023 | 4 | |
| 17 | 2012 | 3 | |
| 18 | 2010 | 3 | |
| 19 | 2023 | 2 | |
| 20 | 2012 | 2 |
About Barlas Oğuz
Barlas Oğuz is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Mathematical Physics and Signal Processing, having authored 29 papers that have together received 289 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (13 papers), Topic Modeling (13 papers), Multimodal Machine Learning Applications (7 papers), Speech Recognition and Synthesis (4 papers), Caching and Content Delivery (3 papers), Algorithms and Data Compression (3 papers), Peer-to-Peer Network Technologies (3 papers) and Image and Signal Denoising Methods (2 papers). The work is most often cited by research in Artificial Intelligence (198 citations), Computer Vision and Pattern Recognition (94 citations), Health Informatics (4 citations), Computational Mathematics (1 citation) and Computer Networks and Communications (27 citations). Barlas Oğuz has collaborated with scholars based in United States, Finland and Türkiye. Frequent co-authors include Yashar Mehdad, Xilun Chen, Sonal Gupta, Scott Yih, Vladimir Karpukhin, Haoran Li, Patrick Lewis, Zechun Liu, Kushal Lakhotia and Pierre Stock. Their work appears in journals such as Journal of Applied Probability, IEEE/ACM Transactions on Networking, Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Bilkent University Institutional Repository (Bilkent University) and UCL Discovery (University College London).
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.