Lambert Mathias
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Speech Recognition and Synthesis
- Speech and dialogue systems
- Domain Adaptation and Few-Shot Learning
- Hate Speech and Cyberbullying Detection
- Sentiment Analysis and Opinion Mining
-
- Multimodal Machine Learning Applications
Papers in
-
- Topic Modeling 10
- Natural Language Processing Techniques 9
- Speech Recognition and Synthesis 4
- Speech and dialogue systems 3
- Hate Speech and Cyberbullying Detection 2
- Explainable Artificial Intelligence (XAI) 2
- Co-authors
- Bill Byrne (2 shared papers)Markus Dreyer (2 shared papers)Faisal Ladhak (2 shared papers)Amjad Almahairi (2 shared papers)Xing Fan (1 shared paper)Madian Khabsa (2 shared papers)Hao Ma (1 shared paper)Ankur Gandhe (1 shared paper)
- Journals
- Magnetic Resonance in Medicine (3 papers)European Journal of Public Health (1 paper)PubMed (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)Edinburgh Research Explorer (University of Edinburgh) (1 paper)
- Partner nations
- United StatesUnited KingdomChile
In The Last Decade
Lambert Mathias
20 papers receiving 263 citations
Peers
Comparison fields: 5 of 47
- Artificial Intelligence 242
- Computer Vision and Pattern Recognition 54
- Signal Processing 23
- Radiology, Nuclear Medicine and Imaging 18
- Software 3
Countries citing papers authored by Lambert Mathias
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
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-authors
The 25 scholars most cited alongside Lambert Mathias, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 50 | |
| 2 | 2016 | 38 | |
| 3 | 2006 | 37 | |
| 4 | 2022 | 27 | |
| 5 | 2017 | 27 | |
| 6 | 2018 | 19 | |
| 7 | 2021 | 17 | |
| 8 | 2006 | 13 | |
| 9 | 2022 | 13 | |
| 10 | 2021 | 10 | |
| 11 | 2022 | 10 | |
| 12 | 2019 | 7 | |
| 13 | [Grand multiparity: is it a high risk pregnancy?]. | 1991 | 6 |
| 14 | 2023 | 5 | |
| 15 | 2022 | 5 | |
| 16 | 2023 | 4 | |
| 17 | 2020 | 2 | |
| 18 | Statistical machine translation and automatic speech recognition under uncertainty | 2008 | 2 |
| 19 | 2023 | 1 | |
| 20 | Contextual Query Rewriting (CQR): Natural Language as interface for Dialog State Tracking | 2019 | 1 |
About Lambert Mathias
Lambert Mathias is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Social Psychology, having authored 20 papers that have together received 294 indexed citations. Recurring topics across this work include Topic Modeling (10 papers), Natural Language Processing Techniques (9 papers), Speech Recognition and Synthesis (4 papers), Speech and dialogue systems (3 papers), Hate Speech and Cyberbullying Detection (2 papers), Advanced MRI Techniques and Applications (2 papers), Explainable Artificial Intelligence (XAI) (2 papers) and Multimodal Machine Learning Applications (2 papers). The work is most often cited by research in Artificial Intelligence (242 citations), Computer Vision and Pattern Recognition (54 citations), Signal Processing (23 citations), Radiology, Nuclear Medicine and Imaging (18 citations) and Software (3 citations). Lambert Mathias has collaborated with scholars based in United States, United Kingdom and Chile. Frequent co-authors include Bill Byrne, Markus Dreyer, Faisal Ladhak, Amjad Almahairi, Xing Fan, Madian Khabsa, Hao Ma, Ankur Gandhe, Ariya Rastrow and Jiawei Han. Their work appears in journals such as Magnetic Resonance in Medicine, European Journal of Public Health, PubMed, Proceedings of the AAAI Conference on Artificial Intelligence and Edinburgh Research Explorer (University of Edinburgh).
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.