Barlas Oğuz

998 total citations
28 papers, 268 citations indexed

About

Barlas Oğuz is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Barlas Oğuz has authored 28 papers receiving a total of 268 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 5 papers in Computer Networks and Communications. Recurrent topics in Barlas Oğuz's work include Topic Modeling (13 papers), Natural Language Processing Techniques (13 papers) and Multimodal Machine Learning Applications (7 papers). Barlas Oğuz is often cited by papers focused on Topic Modeling (13 papers), Natural Language Processing Techniques (13 papers) and Multimodal Machine Learning Applications (7 papers). Barlas Oğuz collaborates with scholars based in United States, Finland and Canada. Barlas Oğuz's co-authors include Yashar Mehdad, Xilun Chen, Sonal Gupta, Scott Yih, Vladimir Karpukhin, Haoran Li, Anchit Gupta, Dmytro Okhonko, Venkat Anantharam and Patrick Lewis and has published in prestigious journals such as IEEE/ACM Transactions on Networking, Journal of Applied Probability and Bilkent University Institutional Repository (Bilkent University).

In The Last Decade

Barlas Oğuz

25 papers receiving 247 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Barlas Oğuz United States	9	188	92	27	20	13	28	268
Vadim Sheinin United States	7	95 0.5×	63 0.7×	27 1.0×	33 1.6×	5 0.4×	28	174
Anirudh Ravula United States	4	188 1.0×	76 0.8×	10 0.4×	33 1.6×	14 1.1×	4	241
Kristian Woodsend United Kingdom	11	437 2.3×	59 0.6×	13 0.5×	36 1.8×	13 1.0×	16	493
Hongyin Luo China	7	164 0.9×	55 0.6×	13 0.5×	16 0.8×	3 0.2×	27	231
Hongyang Zhang China	7	178 0.9×	56 0.6×	8 0.3×	12 0.6×	5 0.4×	29	227
Sai Praneeth Karimireddy Switzerland	8	273 1.5×	49 0.5×	66 2.4×	26 1.3×	5 0.4×	19	301
Shengyu Zhang China	7	65 0.3×	45 0.5×	64 2.4×	15 0.8×	3 0.2×	26	179
Chenhao Xie China	6	131 0.7×	57 0.6×	15 0.6×	30 1.5×	16 1.2×	14	180
Siyuan Cheng China	6	117 0.6×	32 0.3×	10 0.4×	10 0.5×	6 0.5×	15	144

Countries citing papers authored by Barlas Oğuz

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Barlas Oğuz

This figure shows the co-authorship network connecting the top 25 collaborators of Barlas Oğuz. A scholar is included among the top collaborators of Barlas Oğuz 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 Barlas Oğuz. Barlas Oğuz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Jawahar, Ganesh, Haichuan Yang, Yunyang Xiong, et al.. (2024). Mixture-of-Supernets: Improving Weight-Sharing Supernet Training with Architecture-Routed Mixture-of-Experts. 10424–10443.

Liu, Zechun, Barlas Oğuz, Ernie Chang, et al.. (2024). LLM-QAT: Data-Free Quantization Aware Training for Large Language Models. 467–484. 46 indexed citations

Lin, Sheng-Chieh, Barlas Oğuz, Jimmy Lin, et al.. (2023). CITADEL: Conditional Token Interaction via Dynamic Lexical Routing for Efficient and Effective Multi-Vector Retrieval. 11891–11907. 3 indexed citations

Luo, Man, Anchit Gupta, Arash Einolghozati, et al.. (2023). A Study on the Efficiency and Generalization of Light Hybrid Retrievers. 1617–1626. 2 indexed citations

Lin, Sheng-Chieh, Akari Asai, Barlas Oğuz, et al.. (2023). How to Train Your Dragon: Diverse Augmentation Towards Generalizable Dense Retrieval. 6385–6400. 8 indexed citations

Liu, Zechun, Barlas Oğuz, Aasish Pappu, Yangyang Shi, & Raghuraman Krishnamoorthi. (2023). Binary and Ternary Natural Language Generation. 65–77. 1 indexed citations

Chen, Xilun, Kushal Lakhotia, Barlas Oğuz, et al.. (2022). Salient Phrase Aware Dense Retrieval: Can a Dense Retriever Imitate a Sparse One?. 250–262. 23 indexed citations

Oğuz, Barlas, Xilun Chen, Vladimir Karpukhin, et al.. (2022). UniK-QA: Unified Representations of Structured and Unstructured Knowledge for Open-Domain Question Answering. 1535–1546. 45 indexed citations

Lewis, Patrick, Barlas Oğuz, Wenhan Xiong, et al.. (2022). Boosted Dense Retriever. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 3102–3117. 6 indexed citations

10.

Xiong, Wenhan, Barlas Oğuz, Anchit Gupta, et al.. (2022). Simple Local Attentions Remain Competitive for Long-Context Tasks. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 5 indexed citations

11.

Lee, Jinhyuk, Barlas Oğuz, Wenhan Xiong, et al.. (2022). Bridging the Training-Inference Gap for Dense Phrase Retrieval. 3713–3724. 1 indexed citations

12.

Oğuz, Barlas, et al.. (2016). Entropy Based Pruning for Non-Negative Matrix Based Language Models with Contextual Features. 2328–2332. 1 indexed citations

13.

Oğuz, Barlas, et al.. (2015). Discriminative training of context-dependent language model scaling factors and interpolation weights. 45–51.

14.

Oğuz, Barlas, Venkat Anantharam, & Ilkka Norros. (2014). Stable Distributed P2P Protocols Based on Random Peer Sampling. IEEE/ACM Transactions on Networking. 23(5). 1444–1456. 7 indexed citations

15.

Huang, Zhiheng, et al.. (2013). Accelerating recurrent neural network training via two stage classes and parallelization. 326–331. 20 indexed citations

16.

Oğuz, Barlas, Venkat Anantharam, & Ilkka Norros. (2012). Stable, distributed P2P protocols based on random peer sampling. 6. 915–919. 5 indexed citations

17.

Oğuz, Barlas & Venkat Anantharam. (2012). Long range dependent Markov chains with applications. 61. 274–280. 2 indexed citations

18.

Oğuz, Barlas. (2012). Provably stable, distributed file sharing protocols. UC Berkeley. 2 indexed citations

19.

Oğuz, Barlas & Venkat Anantharam. (2012). Hurst Index of Functions of Long-Range-Dependent Markov Chains. Journal of Applied Probability. 49(2). 451–471. 3 indexed citations

20.

Oğuz, Barlas & Venkat Anantharam. (2010). Compressing a long range dependent renewal process. 2. 1443–1447. 3 indexed citations

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.

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