Leon Weber
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
Papers in
-
- Biomedical Text Mining and Ontologies 9
-
- Topic Modeling 9
- Natural Language Processing Techniques 7
- Explainable Artificial Intelligence (XAI) 2
- Sentiment Analysis and Opinion Mining 1
- Co-authors
- Ulf Leser (13 shared papers)Maryam Habibi (2 shared papers)David Luis Wiegandt (1 shared paper)Mariana Neves (1 shared paper)Byron S. Gottfried (2 shared papers)Ronald L. Reed (1 shared paper)Jannes Münchmeyer (3 shared papers)Tim Rocktäschel (2 shared papers)
- Journals
- Bioinformatics (6 papers)Journal of Chemical Theory and Computation (1 paper)Database (1 paper)Industrial & Engineering Chemistry Fundamentals (2 papers)CLEF (Working Notes) (1 paper)
- Partner nations
- GermanyUnited KingdomAustria
In The Last Decade
Leon Weber
21 papers receiving 713 citations
Leon Weber's Hit Papers
Peers
Comparison fields: 5 of 98
- Artificial Intelligence 413
- Health Informatics 7
- Molecular Biology 319
- Materials Chemistry 127
- Organic Chemistry 72
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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Deep learning with word embeddings improves biomedical named entity recognition Hit paper breakdown → | 2017 | 395 |
| 2 | 1965 | 142 | |
| 3 | 2019 | 53 | |
| 4 | 2019 | 46 | |
| 5 | 2022 | 25 | |
| 6 | 2020 | 23 | |
| 7 | 2019 | 16 | |
| 8 | 2022 | 11 | |
| 9 | Classifying German Animal Experiment Summaries with Multi-lingual BERT at CLEF eHealth 2019 Task 1. | 2019 | 9 |
| 10 | 2020 | 9 | |
| 11 | 2024 | 7 | |
| 12 | 2021 | 6 | |
| 13 | 2024 | 5 | |
| 14 | 2023 | 3 | |
| 15 | 2022 | 3 | |
| 16 | 1966 | 3 | |
| 17 | The Use of the Membrane Filter in Determining Quality of Water for Subsurface Injection | 1957 | 3 |
| 18 | 2022 | 3 | |
| 19 | 2023 | 2 | |
| 20 | 2023 | 2 |
About Leon Weber
Leon Weber is a scholar working on Molecular Biology, Artificial Intelligence, Materials Chemistry, Computational Theory and Mathematics and Physical and Theoretical Chemistry, having authored 22 papers that have together received 767 indexed citations. Recurring topics across this work include Topic Modeling (9 papers), Biomedical Text Mining and Ontologies (9 papers), Natural Language Processing Techniques (7 papers), Thermal and Kinetic Analysis (2 papers), Advanced Physical and Chemical Molecular Interactions (2 papers), Computational Drug Discovery Methods (2 papers), Explainable Artificial Intelligence (XAI) (2 papers) and Sentiment Analysis and Opinion Mining (1 paper). The work is most often cited by research in Artificial Intelligence (413 citations), Health Informatics (7 citations), Molecular Biology (319 citations), Materials Chemistry (127 citations) and Organic Chemistry (72 citations). Leon Weber has collaborated with scholars based in Germany, United Kingdom and Austria. Frequent co-authors include Ulf Leser, Maryam Habibi, David Luis Wiegandt, Mariana Neves, Byron S. Gottfried, Ronald L. Reed, Jannes Münchmeyer, Tim Rocktäschel, Pasquale Minervini and Mario Sänger. Their work appears in journals such as Bioinformatics, Journal of Chemical Theory and Computation, Database, Industrial & Engineering Chemistry Fundamentals and CLEF (Working Notes).
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.