Lambert Mathias

672 citations
22 papers · 415 · h-index 12

Impact in

    • 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 12
    • Natural Language Processing Techniques 11
    • Speech and dialogue systems 4
    • Speech Recognition and Synthesis 4
    • Hate Speech and Cyberbullying Detection 2
    • Explainable Artificial Intelligence (XAI) 2
    • Multimodal Machine Learning Applications 3

Lambert Mathias

22 papers receiving 376 citations

Peers

Lambert Mathias
Comparison fields: 5 of 49
  • Artificial Intelligence 353
  • Computer Vision and Pattern Recognition 83
  • Signal Processing 31
  • Health Informatics 3
  • Information Systems 30
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Citations per field
00.5×5×10×14.8×
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Citations per year

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-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.

Border = papers with Lambert Mathias Line = papers co-authored together Lambert Mathias links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202264
2 201748
3 201647
4 200643
5 202232
6 201929
7 201826
8 202122
9 202214
10 200614
11 201812
12 202312
13 202211
14 20219
15 20198
16 20236
17 20235
18 20225
19 20203
20
Statistical machine translation and automatic speech recognition under uncertainty
20083

About Lambert Mathias

Lambert Mathias is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Information Systems and Health Information Management, having authored 22 papers that have together received 415 indexed citations. Recurring topics across this work include Topic Modeling (12 papers), Natural Language Processing Techniques (11 papers), Speech and dialogue systems (4 papers), Speech Recognition and Synthesis (4 papers), Multimodal Machine Learning Applications (3 papers), Hate Speech and Cyberbullying Detection (2 papers), Explainable Artificial Intelligence (XAI) (2 papers) and Advanced MRI Techniques and Applications (2 papers). The work is most often cited by research in Artificial Intelligence (353 citations), Computer Vision and Pattern Recognition (83 citations), Signal Processing (31 citations), Health Informatics (3 citations) and Information Systems (30 citations). Lambert Mathias has collaborated with scholars based in United States, United Kingdom and Chile. Frequent co-authors include Bill Byrne, Markus Dreyer, Xing Fan, Madian Khabsa, Amjad Almahairi, Pushpendre Rastogi, Tongfei Chen, Faisal Ladhak, Hao Ma and Yuning Mao. Their work appears in journals such as Magnetic Resonance in Medicine, European Journal of Public Health, arXiv (Cornell University), Edinburgh Research Explorer (University of Edinburgh) and Rare & Special e-Zone (The Hong Kong University of Science and Technology).

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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