Thibaut Lavril

8.7k total citations · 1 hit paper
5 papers, 703 citations indexed

About

Thibaut Lavril is a scholar working on Materials Chemistry, Computer Vision and Pattern Recognition and General Economics, Econometrics and Finance. According to data from OpenAlex, Thibaut Lavril has authored 5 papers receiving a total of 703 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Materials Chemistry, 1 paper in Computer Vision and Pattern Recognition and 1 paper in General Economics, Econometrics and Finance. Recurrent topics in Thibaut Lavril's work include Machine Learning in Materials Science (2 papers), Advanced Image and Video Retrieval Techniques (1 paper) and Speech and dialogue systems (1 paper). Thibaut Lavril is often cited by papers focused on Machine Learning in Materials Science (2 papers), Advanced Image and Video Retrieval Techniques (1 paper) and Speech and dialogue systems (1 paper). Thibaut Lavril collaborates with scholars based in France and United States. Thibaut Lavril's co-authors include David Leroy, Thibault Gisselbrecht, Alice Coucke, Kevin Tran, Javier Heras‐Domingo, Anuroop Sriram, Morgane Rivière, Aini Palizhati, C. Lawrence Zitnick and Weihua Hu and has published in prestigious journals such as ACS Catalysis, Journal of Air Transport Management and 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

In The Last Decade

Thibaut Lavril

5 papers receiving 673 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.

Open Catalyst 2020 (OC20) Dataset and Community Challenges

2021 440 citations Abhishek Das, Siddharth Goyal et al. ACS Catalysis profile →

Peers

Countries citing papers authored by Thibaut Lavril

Since Specialization

Citations

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

Fields of papers citing papers by Thibaut Lavril

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thibaut Lavril

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

All Works

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5 of 5 papers shown

#	Work	Indexed citations
1	Memory-Augmented Reinforcement Learning for Image-Goal Navigation 2022 ·2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) ·(unknown), Sainbayar Sukhbaatar, Thibaut Lavril, Oleksandr Maksymets, Dhruv Batra, Piotr Bojanowski, Karteek Alahari	31
2	Open Catalyst 2020 (OC20) Dataset and Community Challenges breakdown → 2021 ·ACS Catalysis ·(unknown), Abhishek Das, Siddharth Goyal, Thibaut Lavril, Muhammed Shuaibi, Morgane Rivière, Kevin Tran, Javier Heras‐Domingo, (unknown), Weihua Hu, Aini Palizhati, Anuroop Sriram, Brandon M. Wood, Junwoong Yoon, Devi Parikh, C. Lawrence Zitnick, Zachary W. Ulissi	440
3	Correction to “The Open Catalyst 2020 (OC20) Dataset and Community Challenges” 2021 ·ACS Catalysis ·(unknown), Abhishek Das, Siddharth Goyal, Thibaut Lavril, Muhammed Shuaibi, Morgane Rivière, Kevin Tran, Javier Heras‐Domingo, (unknown), Weihua Hu, Aini Palizhati, Anuroop Sriram, Brandon M. Wood, Junwoong Yoon, Devi Parikh, C. Lawrence Zitnick, Zachary W. Ulissi	12
4	Federated Learning for Keyword Spotting 2019 ·David Leroy, Alice Coucke, Thibaut Lavril, Thibault Gisselbrecht, (unknown)	177
5	Measuring the willingness-to-pay of air-rail intermodal passengers 2012 ·Journal of Air Transport Management ·Paul Chiambaretto, (unknown), Thibaut Lavril	43

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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