Robert Leaman
Impact in
- Artificial Intelligence top 0.2%
- Topic Modeling
- Natural Language Processing Techniques
- Semantic Web and Ontologies
- Advanced Text Analysis Techniques
- Health Informatics top 1%
Papers in
-
- Biomedical Text Mining and Ontologies 39
- Bioinformatics and Genomic Networks 5
- Machine Learning in Bioinformatics 3
-
- Topic Modeling 24
- Semantic Web and Ontologies 12
- Natural Language Processing Techniques 9
- Advanced Text Analysis Techniques 8
- Co-authors
- Zhiyong Lu (33 shared papers)Rezarta Islamaj (5 shared papers)Chih-Hsuan Wei (18 shared papers)Graciela Gonzalez‐Hernandez (11 shared papers)Ritu Khare (5 shared papers)Alexis Allot (5 shared papers)Allan Peter Davis (2 shared papers)Carolyn Mattingly (2 shared papers)
- Journals
- Database (6 papers)Bioinformatics (5 papers)Journal of Biomedical Informatics (4 papers)Nucleic Acids Research (4 papers)Scientific Data (2 papers)
- Partner nations
- United StatesGermanyChina
In The Last Decade
Robert Leaman
45 papers receiving 3.6k citations
Robert Leaman's Hit Papers
Peers
Comparison fields: 5 of 142
- Artificial Intelligence 2.6k
- Health Informatics 90
- Toxicology 143
- Molecular Biology 2.8k
- Computational Theory and Mathematics 345
Countries citing papers authored by Robert Leaman
This map shows the geographic impact of Robert Leaman'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 Robert Leaman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Leaman more than expected).
Fields of papers citing papers by Robert Leaman
This network shows the impact of papers produced by Robert Leaman. 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 Robert Leaman. The network helps show where Robert Leaman may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert Leaman, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | NCBI disease corpus: A resource for disease name recognition and concept normalization Hit paper breakdown → | 2014 | 522 |
| 2 | BioCreative V CDR task corpus: a resource for chemical disease relation extraction Hit paper breakdown → | 2016 | 506 |
| 3 | 2013 | 344 | |
| 4 | 2007 | 341 | |
| 5 | 2019 | 248 | |
| 6 | 2008 | 241 | |
| 7 | 2015 | 210 | |
| 8 | 2016 | 198 | |
| 9 | Towards Internet-Age Pharmacovigilance: Extracting Adverse Drug Reactions from User Posts in Health-Related Social Networks | 2010 | 183 |
| 10 | 2016 | 131 | |
| 11 | 2015 | 119 | |
| 12 | 2008 | 87 | |
| 13 | 2015 | 68 | |
| 14 | 2018 | 48 | |
| 15 | 2024 | 45 | |
| 16 | 2023 | 41 | |
| 17 | 2021 | 39 | |
| 18 | 2012 | 35 | |
| 19 | 2016 | 34 | |
| 20 | 2014 | 33 |
About Robert Leaman
Robert Leaman is a scholar working on Molecular Biology, Artificial Intelligence, Genetics, Computational Theory and Mathematics and Infectious Diseases, having authored 46 papers that have together received 3.8k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (39 papers), Topic Modeling (24 papers), Semantic Web and Ontologies (12 papers), Natural Language Processing Techniques (9 papers), Advanced Text Analysis Techniques (8 papers), Bioinformatics and Genomic Networks (5 papers), Machine Learning in Bioinformatics (3 papers) and Computational Drug Discovery Methods (3 papers). The work is most often cited by research in Artificial Intelligence (2.6k citations), Health Informatics (90 citations), Toxicology (143 citations), Molecular Biology (2.8k citations) and Computational Theory and Mathematics (345 citations). Robert Leaman has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Zhiyong Lu, Rezarta Islamaj, Chih-Hsuan Wei, Graciela Gonzalez‐Hernandez, Ritu Khare, Alexis Allot, Allan Peter Davis, Carolyn Mattingly, Thomas C. Wiegers and Jiao Li. Their work appears in journals such as Database, Bioinformatics, Journal of Biomedical Informatics, Nucleic Acids Research and Scientific Data.
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.