Naman Goyal

33.8k total citations · 2 hit papers
26 papers, 1.2k citations indexed

About

Naman Goyal is a scholar working on Artificial Intelligence, Ecology and Molecular Biology. According to data from OpenAlex, Naman Goyal has authored 26 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 4 papers in Ecology and 3 papers in Molecular Biology. Recurrent topics in Naman Goyal's work include Natural Language Processing Techniques (16 papers), Topic Modeling (11 papers) and Speech Recognition and Synthesis (5 papers). Naman Goyal is often cited by papers focused on Natural Language Processing Techniques (16 papers), Topic Modeling (11 papers) and Speech Recognition and Synthesis (5 papers). Naman Goyal collaborates with scholars based in United States, India and United Kingdom. Naman Goyal's co-authors include Luke Zettlemoyer, Xian Li, Jiatao Gu, Marjan Ghazvininejad, Sergey Edunov, Yinhan Liu, Mike Lewis, Vishrav Chaudhary, Peng‐Jen Chen and Juan Pino and has published in prestigious journals such as Evolution, Journal of Machine Learning Research and Biotropica.

In The Last Decade

Naman Goyal

21 papers receiving 1.1k citations

Hit Papers

Multilingual Denoising Pre-training for Neural Machine Tr... 2020 2026 2022 2024 2020 2022 100 200 300 400 500
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.

  1. Multilingual Denoising Pre-training for Neural Machine Translation
    2020 561 citations Yinhan Liu, Jiatao Gu et al. Transactions of the Association for Computational Linguistics profile →
  2. XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale
    2022 266 citations Arun Babu, Changhan Wang et al. Interspeech 2022 profile →

Peers

Naman Goyal
Melvin Johnson United States
Abdelmajid Ben Hamadou Tunisia
Tunga Güngör Türkiye
Mohsen Rashwan Egypt
Nikhil Thorat United States
Anton Bakhtin United States
Aditya Siddhant United States
Shinsuke Mori Japan
Mauro Cettolo Italy
Zuchao Li China
Melvin Johnson United States
Naman Goyal
Citations per year, relative to Naman Goyal Naman Goyal (= 1×) peers Melvin Johnson

Countries citing papers authored by Naman Goyal

Since Specialization
Citations

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

Fields of papers citing papers by Naman Goyal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naman Goyal

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

All Works

20 of 20 papers shown
1.
Viswanathan, Ashwin, Kulbhushansingh Suryawanshi, M. D. Madhusudan, et al.. (2025). State of India's Birds 2023: A framework to leverage semi‐structured citizen science for bird conservation. Ecosphere. 16(7).
2.
Müller, Benjamin, et al.. (2024). The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variants. 749–775. 7 indexed citations
3.
Goyal, Naman, et al.. (2024). Digest: Habitat and competition drive diversification in Gondwanan fish. Evolution. 78(5). 1020–1021.
4.
Gonen, Hila, Yuning Mao, Rui Hou, et al.. (2023). XLM-V: Overcoming the Vocabulary Bottleneck in Multilingual Masked Language Models. 13142–13152. 13 indexed citations
5.
Rodriguez, Marilis, Naman Goyal, Yunfeng Liu, et al.. (2023). Global Metabolomic Profiling of Host Red Blood Cells Infected with Babesia divergens Reveals Novel Antiparasitic Target Pathways. Microbiology Spectrum. 11(2). e0468822–e0468822. 6 indexed citations
6.
Goyal, Naman, et al.. (2023). Energy Conservation using Modern Technology. 17(2). 104–107. 1 indexed citations
7.
Goyal, Naman, et al.. (2023). Revisiting the systematic position of the enigmatic Nicobar Bulbul (Ixos nicobariensis). Ibis. 166(3). 1059–1063. 1 indexed citations
8.
Pfeiffer, Jonas, Naman Goyal, Xian Li, et al.. (2022). Lifting the Curse of Multilinguality by Pre-training Modular Transformers. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 3479–3495. 40 indexed citations
9.
Artetxe, Mikel, Jingfei Du, Naman Goyal, Luke Zettlemoyer, & Veselin Stoyanov. (2022). On the Role of Bidirectionality in Language Model Pre-Training. 3973–3985. 7 indexed citations
10.
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 →
11.
Goyal, Naman, et al.. (2022). Using the area of habitat to assess the extent of protection of India's birds. Biotropica. 54(6). 1466–1479. 5 indexed citations
12.
Cao, Nicola De, Ledell Wu, Kashyap Popat, et al.. (2022). Multilingual Autoregressive Entity Linking. Transactions of the Association for Computational Linguistics. 10. 274–290. 50 indexed citations
13.
Fan, Angela, Shruti Bhosale, Holger Schwenk, et al.. (2021). Beyond English-Centric Multilingual Machine Translation. Journal of Machine Learning Research. 22(107). 1–48. 11 indexed citations
14.
Tang, Yuqing, Chau Tran, Xian Li, et al.. (2021). Multilingual Translation from Denoising Pre-Training. 3450–3466. 64 indexed citations
15.
Koehn, Philipp, Vishrav Chaudhary, Ahmed El-Kishky, et al.. (2020). Findings of the WMT 2020 Shared Task on Parallel Corpus Filtering and Alignment. Empirical Methods in Natural Language Processing. 726–742. 29 indexed citations
16.
Lewis, Patrick, Ethan Perez, Aleksandra Piktus, et al.. (2020). Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks. UCL Discovery (University College London). 33. 9459–9474. 2 indexed citations
17.
Liu, Yinhan, Jiatao Gu, Naman Goyal, et al.. (2020). Multilingual Denoising Pre-training for Neural Machine Translation. Transactions of the Association for Computational Linguistics. 8. 726–742. 561 indexed citations breakdown →
18.
19.
Goyal, Naman, et al.. (2019). Tarsier Goggles: a virtual reality tool for experiencing the optics of a dark-adapted primate visual system. Evolution Education and Outreach. 12(1). 4 indexed citations
20.
Goyal, Naman & Jacob Eisenstein. (2016). A Joint Model of Rhetorical Discourse Structure and Summarization. 25–34. 5 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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