Leon Weber
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Machine Learning in Healthcare
- Natural Language Processing Techniques
- Logic, Reasoning, and Knowledge
- Advanced Text Analysis Techniques
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- Artificial Intelligence in Healthcare and Education
Papers in
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- Topic Modeling 11
- Natural Language Processing Techniques 9
- Sentiment Analysis and Opinion Mining 1
- Text and Document Classification Technologies 1
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- Biomedical Text Mining and Ontologies 12
- Co-authors
- Ulf Leser (15 shared papers)Maryam Habibi (3 shared papers)Mariana Neves (1 shared paper)David Luis Wiegandt (1 shared paper)Jannes Münchmeyer (5 shared papers)Tim Rocktäschel (2 shared papers)Mario Sänger (5 shared papers)Alan Akbik (2 shared papers)
- Journals
- Bioinformatics (7 papers)Database (1 paper)Journal of Chemical Theory and Computation (1 paper)PubMed (1 paper)MDC Repository (Max-Delbrueck-Center for Molecular Medicine) (1 paper)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Leon Weber
22 papers receiving 754 citations
Peers
Comparison fields: 5 of 68
- Artificial Intelligence 348
- Health Informatics 17
- Molecular Biology 433
- Toxicology 9
- Statistics, Probability and Uncertainty 11
Countries citing papers authored by Leon Weber
This map shows the geographic impact of Leon Weber'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 Leon Weber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leon Weber more than expected).
Fields of papers citing papers by Leon Weber
This network shows the impact of papers produced by Leon Weber. 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 Leon Weber. The network helps show where Leon Weber may publish in the future.
Co-authors
The 25 scholars most cited alongside Leon Weber, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 409 | |
| 2 | 2021 | 75 | |
| 3 | 2019 | 64 | |
| 4 | 2023 | 51 | |
| 5 | 2019 | 48 | |
| 6 | 2022 | 25 | |
| 7 | 2020 | 24 | |
| 8 | 2019 | 15 | |
| 9 | 2022 | 11 | |
| 10 | 2020 | 10 | |
| 11 | Classifying German Animal Experiment Summaries with Multi-lingual BERT at CLEF eHealth 2019 Task 1. | 2019 | 9 |
| 12 | 2024 | 9 | |
| 13 | 2021 | 7 | |
| 14 | 2024 | 7 | |
| 15 | 2023 | 4 | |
| 16 | 2022 | 3 | |
| 17 | 2022 | 3 | |
| 18 | 2023 | 3 | |
| 19 | 2023 | 2 | |
| 20 | 2021 | 1 |
About Leon Weber
Leon Weber is a scholar working on Artificial Intelligence, Molecular Biology, Pulmonary and Respiratory Medicine, Atomic and Molecular Physics, and Optics and Materials Chemistry, having authored 23 papers that have together received 782 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (12 papers), Topic Modeling (11 papers), Natural Language Processing Techniques (9 papers), Phonocardiography and Auscultation Techniques (1 paper), Machine Learning in Materials Science (1 paper), Advanced Chemical Physics Studies (1 paper), Sentiment Analysis and Opinion Mining (1 paper) and Text and Document Classification Technologies (1 paper). The work is most often cited by research in Artificial Intelligence (348 citations), Health Informatics (17 citations), Molecular Biology (433 citations), Toxicology (9 citations) and Statistics, Probability and Uncertainty (11 citations). Leon Weber has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Ulf Leser, Maryam Habibi, Mariana Neves, David Luis Wiegandt, Jannes Münchmeyer, Tim Rocktäschel, Mario Sänger, Alan Akbik, Pasquale Minervini and Annika Bande. Their work appears in journals such as Bioinformatics, Database, Journal of Chemical Theory and Computation, PubMed and MDC Repository (Max-Delbrueck-Center for Molecular Medicine).
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.