Dara Bahri

2.5k total citations · 1 hit paper
15 papers, 629 citations indexed

About

Dara Bahri is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and General Social Sciences. According to data from OpenAlex, Dara Bahri has authored 15 papers receiving a total of 629 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 2 papers in General Social Sciences. Recurrent topics in Dara Bahri's work include Topic Modeling (11 papers), Natural Language Processing Techniques (8 papers) and Multimodal Machine Learning Applications (7 papers). Dara Bahri is often cited by papers focused on Topic Modeling (11 papers), Natural Language Processing Techniques (8 papers) and Multimodal Machine Learning Applications (7 papers). Dara Bahri collaborates with scholars based in United States, Netherlands and Canada. Dara Bahri's co-authors include Yi Tay, Donald Metzler, Mostafa Dehghani, Marc Najork, Hossein Mobahi, Da-Cheng Juan, Zhen Qin, Jai Prakash Gupta, Yikang Shen and Yang Liu and has published in prestigious journals such as ACM Computing Surveys, ACM SIGIR Forum and arXiv (Cornell University).

In The Last Decade

Dara Bahri

14 papers receiving 606 citations

Hit Papers

Efficient Transformers: A Survey 2022 2026 2023 2024 2022 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dara Bahri United States 9 344 207 63 62 49 15 629
Joshua Ainslie United States 8 497 1.4× 212 1.0× 58 0.9× 62 1.0× 55 1.1× 15 776
Zhixiang Xu China 10 457 1.3× 245 1.2× 49 0.8× 52 0.8× 51 1.0× 30 693
Jianpeng Cheng United Kingdom 9 612 1.8× 247 1.2× 64 1.0× 88 1.4× 46 0.9× 15 881
Shuangfei Zhai United States 11 310 0.9× 279 1.3× 50 0.8× 66 1.1× 29 0.6× 16 577
Yuguang Yan China 16 506 1.5× 290 1.4× 37 0.6× 51 0.8× 36 0.7× 38 718
Chao-Kai Chiang United States 4 325 0.9× 190 0.9× 49 0.8× 48 0.8× 47 1.0× 6 564
Misha Denil United Kingdom 8 460 1.3× 329 1.6× 30 0.5× 56 0.9× 35 0.7× 13 731
Jing Peng United States 15 453 1.3× 282 1.4× 50 0.8× 59 1.0× 43 0.9× 86 844
M. M. Raghuwanshi India 10 248 0.7× 121 0.6× 45 0.7× 72 1.2× 42 0.9× 62 496

Countries citing papers authored by Dara Bahri

Since Specialization
Citations

This map shows the geographic impact of Dara Bahri'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 Dara Bahri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dara Bahri more than expected).

Fields of papers citing papers by Dara Bahri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dara Bahri. 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 Dara Bahri. The network helps show where Dara Bahri may publish in the future.

Co-authorship network of co-authors of Dara Bahri

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

All Works

15 of 15 papers shown
1.
Bahri, Dara, Hossein Mobahi, & Yi Tay. (2022). Sharpness-Aware Minimization Improves Language Model Generalization. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 7360–7371. 25 indexed citations
2.
Tay, Yi, Mostafa Dehghani, Dara Bahri, & Donald Metzler. (2022). Efficient Transformers: A Survey. ACM Computing Surveys. 55(6). 1–28. 433 indexed citations breakdown →
3.
Zhuang, Honglei, Tao Chen, Zhen Qin, et al.. (2022). ED2LM: Encoder-Decoder to Language Model for Faster Document Re-ranking Inference. Findings of the Association for Computational Linguistics: ACL 2022. 3747–3758. 3 indexed citations
4.
Tay, Yi, Zhe Zhao, Dara Bahri, Donald Metzler, & Da-Cheng Juan. (2021). HyperGrid Transformers: Towards A Single Model for Multiple Tasks. International Conference on Learning Representations. 7 indexed citations
5.
Tay, Yi, et al.. (2021). Synthesizer: Rethinking Self-Attention for Transformer Models. International Conference on Machine Learning. 10183–10192. 5 indexed citations
6.
Bahri, Dara & Heinrich Jiang. (2021). Locally Adaptive Label Smoothing Improves Predictive Churn. International Conference on Machine Learning. 532–542. 1 indexed citations
7.
Metzler, Donald, Yi Tay, Dara Bahri, & Marc Najork. (2021). Rethinking Search: Making Experts out of Dilettantes. arXiv (Cornell University). 4 indexed citations
8.
Tay, Yi, Mostafa Dehghani, Samira Abnar, et al.. (2021). Long Range Arena : A Benchmark for Efficient Transformers. 15 indexed citations
9.
Tay, Yi, Mostafa Dehghani, Jai Prakash Gupta, et al.. (2021). Are Pretrained Convolutions Better than Pretrained Transformers?. 4349–4359. 29 indexed citations
10.
Metzler, Donald, Yi Tay, Dara Bahri, & Marc Najork. (2021). Rethinking Search: Making Domain Experts out of Dilettantes. arXiv (Cornell University). 17 indexed citations
11.
Metzler, Donald, Yi Tay, Dara Bahri, & Marc Najork. (2021). Rethinking search. ACM SIGIR Forum. 55(1). 1–27. 46 indexed citations
13.
Tay, Yi, Dara Bahri, Yang Liu, Donald Metzler, & Da-Cheng Juan. (2020). Sparse Sinkhorn Attention. International Conference on Machine Learning. 1. 9438–9447. 14 indexed citations
14.
Gupta, Maya R., Dara Bahri, Andrew Cotter, & Kevin Robert Canini. (2018). Diminishing Returns Shape Constraints for Interpretability and Regularization. Neural Information Processing Systems. 31. 6834–6844. 10 indexed citations
15.
Ziegler, Dominik, Dara Bahri, Donald J. Chmielewski, et al.. (2014). Encased cantilevers for low-noise force and mass sensing in liquids. University of Twente Research Information. 128–131. 8 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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