Ronan Le Bras

4.7k total citations · 1 hit paper
78 papers, 1.9k citations indexed

About

Ronan Le Bras is a scholar working on Artificial Intelligence, Geophysics and Oceanography. According to data from OpenAlex, Ronan Le Bras has authored 78 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Artificial Intelligence, 16 papers in Geophysics and 11 papers in Oceanography. Recurrent topics in Ronan Le Bras's work include Topic Modeling (29 papers), Natural Language Processing Techniques (24 papers) and Seismic Waves and Analysis (12 papers). Ronan Le Bras is often cited by papers focused on Topic Modeling (29 papers), Natural Language Processing Techniques (24 papers) and Seismic Waves and Analysis (12 papers). Ronan Le Bras collaborates with scholars based in United States, China and United Kingdom. Ronan Le Bras's co-authors include Yejin Choi, Chandra Bhagavatula, Maxwell Forbes, Jack Hessel, Keisuke Sakaguchi, Ari Holtzman, Ximing Lu, Peter West, Lifu Huang and Sean Welleck and has published in prestigious journals such as Communications of the ACM, The Journal of the Acoustical Society of America and Bulletin of the Seismological Society of America.

In The Last Decade

Ronan Le Bras

74 papers receiving 1.9k citations

Hit Papers

align trajectories sort by overperformance

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.

CLIPScore: A Reference-free Evaluation Metric for Image Captioning

2021 392 citations Jack Hessel, Ari Holtzman et al. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ronan Le Bras United States	20	1.2k	590	131	121	97	78	1.9k
Yu Sun United States	19	707 0.6×	792 1.3×	54 0.4×	20 0.2×	193 2.0×	67	2.1k
Timothy Dozat United States	9	1.3k 1.0×	340 0.6×	21 0.2×	20 0.2×	110 1.1×	12	1.8k
Javier Muguerza Spain	16	669 0.6×	201 0.3×	19 0.1×	85 0.7×	181 1.9×	80	1.8k
Wenqi Wei United States	21	1.1k 0.9×	177 0.3×	45 0.3×	15 0.1×	133 1.4×	75	1.7k
Nahum Gershon United States	20	193 0.2×	486 0.8×	17 0.1×	92 0.8×	92 0.9×	80	1.4k
Khalid Iqbal Pakistan	18	212 0.2×	186 0.3×	14 0.1×	65 0.5×	62 0.6×	78	1.1k
Shotaro Akaho Japan	15	510 0.4×	204 0.3×	25 0.2×	29 0.2×	156 1.6×	100	981
Fernando Loizides United Kingdom	10	135 0.1×	69 0.1×	30 0.2×	50 0.4×	96 1.0×	58	1.1k
Murray Browne United States	6	326 0.3×	324 0.5×	14 0.1×	26 0.2×	111 1.1×	7	1.2k
Mohak Shah Canada	7	502 0.4×	129 0.2×	9 0.1×	22 0.2×	127 1.3×	10	1.0k

Countries citing papers authored by Ronan Le Bras

Since Specialization

Citations

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

Fields of papers citing papers by Ronan Le Bras

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ronan Le Bras. 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 Ronan Le Bras. The network helps show where Ronan Le Bras may publish in the future.

Co-authorship network of co-authors of Ronan Le Bras

This figure shows the co-authorship network connecting the top 25 collaborators of Ronan Le Bras. A scholar is included among the top collaborators of Ronan Le Bras 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 Ronan Le Bras. Ronan Le Bras 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:

20 of 20 papers shown

Bras, Ronan Le, et al.. (2025). Tracking of Fin Whales Using a Power Detector, Source Wavelet Extraction, and Cross-Correlation on Recordings Close to Triplets of Hydrophones. Journal of Marine Science and Engineering. 13(6). 1138–1138.

Qin, Lianhui, Ronan Le Bras, Raja Marjieh, et al.. (2024). MacGyver: Are Large Language Models Creative Problem Solvers?. 5303–5324. 3 indexed citations

Sap, Maarten, Ronan Le Bras, Daniel Fried, & Yejin Choi. (2022). Neural Theory-of-Mind? On the Limits of Social Intelligence in Large LMs. 3762–3780. 57 indexed citations

West, Peter, Chandra Bhagavatula, Jack Hessel, et al.. (2022). Symbolic Knowledge Distillation: from General Language Models to Commonsense Models. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 4602–4625. 98 indexed citations

Liu, Jiacheng, Alisa Liu, Ximing Lu, et al.. (2022). Generated Knowledge Prompting for Commonsense Reasoning. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 3154–3169. 108 indexed citations

Hessel, Jack, Ari Holtzman, Maxwell Forbes, Ronan Le Bras, & Yejin Choi. (2021). CLIPScore: A Reference-free Evaluation Metric for Image Captioning. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 7514–7528. 392 indexed citations breakdown →

Emelin, Denis, Ronan Le Bras, Jena D. Hwang, Maxwell Forbes, & Yejin Choi. (2021). Moral Stories: Situated Reasoning about Norms, Intents, Actions, and their Consequences. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 698–718. 55 indexed citations

Malaviya, Chaitanya, Swabha Swayamdipta, Ronan Le Bras, et al.. (2020). G-DAUG: Generative Data Augmentation for Commonsense Reasoning. arXiv (Cornell University). 5 indexed citations

Nielsen, Peter L., Mario Zampolli, Ronan Le Bras, et al.. (2020). CTBTO’s Data and Analysis Pertaining to the Search for the Missing Argentine Submarine ARA San Juan. Pure and Applied Geophysics. 178(7). 2557–2577. 15 indexed citations

10.

Bras, Ronan Le, et al.. (2019). Ground-truth observations and modeling of an extensive air-gun seismic survey recorded at two hydroacoustic stations of the IMS network. EGUGA. 18354. 1 indexed citations

11.

Nielsen, Peter L., et al.. (2018). Analysis of hydro-acoustic and seismic signals originating from a source in the vicinity of the last known location of the Argentinian submarine ARA San Juan. EGU General Assembly Conference Abstracts. 18559. 4 indexed citations

12.

Bondár, Istvan, et al.. (2018). Evaluation of NET-VISA association and location performance using Ground Truth events and RSTT model based SSSCs. EGU General Assembly Conference Abstracts. 13432. 1 indexed citations

13.

Bras, Ronan Le & Peter L. Nielsen. (2018). Range estimates of whale signals recorded by triplets of hydrophones. 1 indexed citations

14.

Bras, Ronan Le, et al.. (2018). Relative location method in hydroacoustics and application to several examples including a seismic survey for which ground truth is available.. EGU General Assembly Conference Abstracts. 8383. 1 indexed citations

15.

Nielsen, Peter L., et al.. (2018). Localization using P-phases recorded on the CTBT IMS hydro-acoustic stations. EGUGA. 11836. 2 indexed citations

16.

Xue, Yexiang, Stefano Ermon, Ronan Le Bras, Carla P. Gomes, & Bart Selman. (2016). Variable elimination in the Fourier domain. International Conference on Machine Learning. 285–294. 2 indexed citations

17.

Bras, Ronan Le, Richard J. Bernstein, John M. Gregoire, et al.. (2014). A computational challenge problem in materials discovery: synthetic problem generator and real-world datasets. National Conference on Artificial Intelligence. 438–443. 6 indexed citations

18.

Bras, Ronan Le, Carla P. Gomes, & Bart Selman. (2013). Double-wheel graphs are graceful. International Joint Conference on Artificial Intelligence. 587–593. 5 indexed citations

19.

Mialle, Pierrick, et al.. (2010). Infrasound Event Analysis into the IDC Operations. EGU General Assembly Conference Abstracts. 12556. 1 indexed citations

20.

Schneider, Jeff, et al.. (2010). Supervised Classification Methods for Seismic Phase Identification. EGU General Assembly Conference Abstracts. 6269. 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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