Kushal Lakhotia

2.0k total citations · 2 hit papers
11 papers, 950 citations indexed

About

Kushal Lakhotia is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Kushal Lakhotia has authored 11 papers receiving a total of 950 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 2 papers in Signal Processing and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Kushal Lakhotia's work include Natural Language Processing Techniques (8 papers), Topic Modeling (6 papers) and Speech Recognition and Synthesis (4 papers). Kushal Lakhotia is often cited by papers focused on Natural Language Processing Techniques (8 papers), Topic Modeling (6 papers) and Speech Recognition and Synthesis (4 papers). Kushal Lakhotia collaborates with scholars based in Israel, United States and France. Kushal Lakhotia's co-authors include Abdelrahman Mohamed, Jade Copet, Yossi Adi, Wei-Ning Hsu, Emmanuel Dupoux, Adam Polyak, Eugene Kharitonov, Alexei Baevski, Kritika Singh and Arun Babu and has published in prestigious journals such as Transactions of the Association for Computational Linguistics, arXiv (Cornell University) and Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

In The Last Decade

Kushal Lakhotia

11 papers receiving 903 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

SUPERB: Speech Processing Universal PERformance Benchmark

2021 409 citations Shu-Wen Yang, Po-Han Chi et al. profile →
XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale

2022 266 citations Arun Babu, Changhan Wang et al. Interspeech 2022 profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kushal Lakhotia Israel	10	830	456	94	93	30	11	950
Jiatong Shi United States	13	807 1.0×	497 1.1×	63 0.7×	93 1.0×	20 0.7×	50	950
Jaime Lorenzo-Trueba Spain	12	551 0.7×	366 0.8×	94 1.0×	60 0.6×	23 0.8×	33	658
Jenthe Thienpondt Belgium	6	792 1.0×	704 1.5×	75 0.8×	42 0.5×	32 1.1×	13	894
Qiantong Xu Israel	7	643 0.8×	311 0.7×	80 0.9×	46 0.5×	26 0.9×	12	730
Pegah Ghahremani United States	12	1.1k 1.4×	901 2.0×	65 0.7×	136 1.5×	42 1.4×	18	1.3k
Yung-Sung Chuang Taiwan	10	643 0.8×	269 0.6×	100 1.1×	66 0.7×	17 0.6×	34	772
Vimal Manohar United States	15	1.0k 1.2×	749 1.6×	49 0.5×	48 0.5×	28 0.9×	28	1.1k
Adithya Renduchintala United States	6	855 1.0×	544 1.2×	89 0.9×	45 0.5×	24 0.8×	17	934
Fabio Brugnara Italy	12	592 0.7×	405 0.9×	73 0.8×	120 1.3×	30 1.0×	44	673

Countries citing papers authored by Kushal Lakhotia

Since Specialization

Citations

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

Fields of papers citing papers by Kushal Lakhotia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kushal Lakhotia

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

All Works

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

1.

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

2.

Lee, Ann, Adam Polyak, Yossi Adi, et al.. (2022). Text-Free Prosody-Aware Generative Spoken Language Modeling. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 8666–8681. 26 indexed citations

3.

Babu, Arun, Changhan Wang, Andros Tjandra, et al.. (2022). XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale. Interspeech 2022. 2278–2282. 266 indexed citations breakdown →

4.

Iyer, Srinivasan, et al.. (2022). QUASER. Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. 1208–1218. 2 indexed citations

5.

Kharitonov, Eugene, Jade Copet, Kushal Lakhotia, et al.. (2022). textless-lib: a Library for Textless Spoken Language Processing. 17 indexed citations

6.

Oğuz, Barlas, Kushal Lakhotia, Anchit Gupta, et al.. (2022). Domain-matched Pre-training Tasks for Dense Retrieval. 1524–1534. 30 indexed citations

7.

Polyak, Adam, Yossi Adi, Jade Copet, et al.. (2021). Speech Resynthesis from Discrete Disentangled Self-Supervised Representations. arXiv (Cornell University). 3615–3619. 144 indexed citations

8.

Lakhotia, Kushal, Wei-Ning Hsu, Yossi Adi, et al.. (2021). On Generative Spoken Language Modeling from Raw Audio. Transactions of the Association for Computational Linguistics. 9. 1336–1354. 10 indexed citations

9.

Lakhotia, Kushal, et al.. (2021). FiD-Ex: Improving Sequence-to-Sequence Models for Extractive Rationale Generation. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 3712–3727. 10 indexed citations

10.

Yang, Shu-Wen, Po-Han Chi, Yung-Sung Chuang, et al.. (2021). SUPERB: Speech Processing Universal PERformance Benchmark. 1194–1198. 409 indexed citations breakdown →

11.

Kharitonov, Eugene, Ann Lee, Adam Polyak, et al.. (2021). Text-Free Prosody-Aware Generative Spoken Language Modeling. arXiv (Cornell University). 13 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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