Lambert Mathias

654 total citations
20 papers, 287 citations indexed

About

Lambert Mathias is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Information Systems. According to data from OpenAlex, Lambert Mathias has authored 20 papers receiving a total of 287 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 4 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Information Systems. Recurrent topics in Lambert Mathias's work include Topic Modeling (10 papers), Natural Language Processing Techniques (9 papers) and Speech Recognition and Synthesis (4 papers). Lambert Mathias is often cited by papers focused on Topic Modeling (10 papers), Natural Language Processing Techniques (9 papers) and Speech Recognition and Synthesis (4 papers). Lambert Mathias collaborates with scholars based in United States, United Kingdom and Chile. Lambert Mathias's co-authors include Bill Byrne, Markus Dreyer, Faisal Ladhak, Xing Fan, Madian Khabsa, Amjad Almahairi, Jiawei Han, Hao Ma, Björn Hoffmeister and Ariya Rastrow and has published in prestigious journals such as Magnetic Resonance in Medicine, European Journal of Public Health and Rare & Special e-Zone (The Hong Kong University of Science and Technology).

In The Last Decade

Lambert Mathias

20 papers receiving 255 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lambert Mathias United States 10 239 54 23 21 15 20 287
Yubin Ge United States 10 202 0.8× 107 2.0× 17 0.7× 20 1.0× 24 1.6× 21 266
Ronghang Zhu United States 9 107 0.4× 60 1.1× 13 0.6× 11 0.5× 16 1.1× 13 181
Nikunj Saunshi United States 4 141 0.6× 62 1.1× 8 0.3× 5 0.2× 12 0.8× 8 181
Chunting Zhou United States 10 302 1.3× 111 2.1× 22 1.0× 8 0.4× 16 1.1× 20 351
Liangchen Luo China 4 134 0.6× 53 1.0× 7 0.3× 5 0.2× 10 0.7× 7 177
Yftah Ziser United Kingdom 7 203 0.8× 39 0.7× 6 0.3× 7 0.3× 10 0.7× 15 225
Nikita Nangia United States 5 268 1.1× 73 1.4× 6 0.3× 4 0.2× 23 1.5× 10 293
Prachi Jain India 7 156 0.7× 34 0.6× 59 2.6× 5 0.2× 17 1.1× 28 220
Christian Raymond France 9 419 1.8× 52 1.0× 75 3.3× 3 0.1× 15 1.0× 40 470
Eric Nalisnick United States 7 173 0.7× 42 0.8× 7 0.3× 5 0.2× 47 3.1× 19 214

Countries citing papers authored by Lambert Mathias

Since Specialization
Citations

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

Fields of papers citing papers by Lambert Mathias

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lambert Mathias

This figure shows the co-authorship network connecting the top 25 collaborators of Lambert Mathias. A scholar is included among the top collaborators of Lambert Mathias 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 Lambert Mathias. Lambert Mathias 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.
Milovic, Carlos, Lambert Mathias, Cristóbal Arrieta, et al.. (2023). Toward a realistic in silico abdominal phantom for QSM. Magnetic Resonance in Medicine. 89(6). 2402–2418. 4 indexed citations
2.
Almahairi, Amjad, et al.. (2023). Logical Satisfiability of Counterfactuals for Faithful Explanations in NLI. Proceedings of the AAAI Conference on Artificial Intelligence. 37(8). 9837–9845. 5 indexed citations
3.
Tan, Wang-Chiew, et al.. (2023). TimelineQA: A Benchmark for Question Answering over Timelines. 77–91. 1 indexed citations
4.
Ladhak, Faisal, Srinivasan Iyer, Veselin Stoyanov, et al.. (2022). ToKen: Task Decomposition and Knowledge Infusion for Few-Shot Hate Speech Detection. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 2109–2120. 8 indexed citations
5.
Mao, Yuning, Lambert Mathias, Amjad Almahairi, et al.. (2022). UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 6253–6264. 47 indexed citations
6.
Mahabadi, Rabeeh Karimi, Luke Zettlemoyer, James Henderson, et al.. (2022). Prompt-free and Efficient Few-shot Learning with Language Models. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 3638–3652. 26 indexed citations
7.
Mathias, Lambert, Cristián Tejos, Christian Langkammer, & Carlos Milovic. (2022). Hybrid data fidelity term approach for quantitative susceptibility mapping. Magnetic Resonance in Medicine. 88(2). 962–972. 5 indexed citations
8.
Sanjabi, Maziar, et al.. (2022). UNIREX: A Unified Learning Framework for Language Model Rationale Extraction. 51–67. 12 indexed citations
9.
Milovic, Carlos, Lambert Mathias, Christian Langkammer, et al.. (2021). Streaking artifact suppression of quantitative susceptibility mapping reconstructions via L1‐norm data fidelity optimization (L1‐QSM). Magnetic Resonance in Medicine. 87(1). 457–473. 10 indexed citations
10.
Mathias, Lambert, Aida Mostafazadeh Davani, Douwe Kiela, et al.. (2021). Findings of the WOAH 5 Shared Task on Fine Grained Hateful Memes Detection. Edinburgh Research Explorer. 201–206. 17 indexed citations
11.
Ferraudo, Antônio Sérgio, et al.. (2020). Machine Learning to predict tuberculosis in cattle from the state of Sao Paulo, Brazil. European Journal of Public Health. 30(Supplement_5). 2 indexed citations
12.
Chen, Tongfei, et al.. (2019). Improving Long Distance Slot Carryover in Spoken Dialogue Systems. 96–105. 7 indexed citations
13.
Rastogi, Pushpendre, Arpit Gupta, & Lambert Mathias. (2019). Contextual Query Rewriting (CQR): Natural Language as interface for Dialog State Tracking. 1 indexed citations
14.
Kollar, Thomas, et al.. (2018). The Alexa Meaning Representation Language. 177–184. 19 indexed citations
15.
Fan, Xing, et al.. (2017). Transfer Learning for Neural Semantic Parsing. 48–56. 27 indexed citations
16.
Ladhak, Faisal, Ankur Gandhe, Markus Dreyer, et al.. (2016). LatticeRnn: Recurrent Neural Networks Over Lattices. 695–699. 38 indexed citations
17.
Byrne, Bill & Lambert Mathias. (2008). Statistical machine translation and automatic speech recognition under uncertainty. 2 indexed citations
18.
Mathias, Lambert & Bill Byrne. (2006). Statistical Phrase-Based Speech Translation. 1. I–561. 37 indexed citations
19.
Mathias, Lambert, et al.. (2006). Discriminative Training of Acoustic Models Applied to Domains with Unreliable Transcripts. 1. 109–112. 13 indexed citations
20.
Mathias, Lambert, et al.. (1991). [Grand multiparity: is it a high risk pregnancy?].. PubMed. 109(1). 14–8. 6 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Yubin Ge Breakdown of academic impact, for papers by Ronghang Zhu Breakdown of academic impact, for papers by Nikunj Saunshi Breakdown of academic impact, for papers by Chunting Zhou Breakdown of academic impact, for papers by Liangchen Luo Breakdown of academic impact, for papers by Yftah Ziser Breakdown of academic impact, for papers by Nikita Nangia Breakdown of academic impact, for papers by Prachi Jain Breakdown of academic impact, for papers by Christian Raymond Breakdown of academic impact, for papers by Eric Nalisnick
Rankless by CCL
2026