Philippe E Thomas
Impact in
- Aging top 10%
-
- Circadian rhythm and melatonin
Papers in
-
- Topic Modeling 11
- Natural Language Processing Techniques 8
- Semantic Web and Ontologies 6
- Advanced Text Analysis Techniques 3
-
- Biomedical Text Mining and Ontologies 19
- Machine Learning in Bioinformatics 3
- Bioinformatics and Genomic Networks 3
- Genomics and Phylogenetic Studies 2
- Co-authors
- Ulf Leser (12 shared papers)Domonkos Tikk (4 shared papers)Jörg Hakenberg (4 shared papers)Tim Rocktäschel (2 shared papers)Mariana Neves (6 shared papers)Illés Solt (5 shared papers)Roman Klinger (4 shared papers)Hanspeter Herzel (2 shared papers)
- Journals
- BMC Bioinformatics (4 papers)PLoS ONE (3 papers)Bioinformatics (2 papers)Frontiers in Oncology (1 paper)Journal of Visualized Experiments (1 paper)
- Partner nations
- GermanyUnited StatesHungary
In The Last Decade
Philippe E Thomas
32 papers receiving 733 citations
Peers
Comparison fields: 5 of 85
- Aging 38
- Endocrine and Autonomic Systems 128
- Artificial Intelligence 279
- Molecular Biology 460
- Health Informatics 8
Countries citing papers authored by Philippe E Thomas
This map shows the geographic impact of Philippe E Thomas'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 Philippe E Thomas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philippe E Thomas more than expected).
Fields of papers citing papers by Philippe E Thomas
This network shows the impact of papers produced by Philippe E Thomas. 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 Philippe E Thomas. The network helps show where Philippe E Thomas may publish in the future.
Co-authors
The 25 scholars most cited alongside Philippe E Thomas, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 146 | |
| 2 | 2014 | 126 | |
| 3 | 2011 | 74 | |
| 4 | 2012 | 58 | |
| 5 | WBI-DDI: Drug-Drug Interaction Extraction using Majority Voting | 2013 | 54 |
| 6 | 2011 | 35 | |
| 7 | 2015 | 34 | |
| 8 | 2013 | 31 | |
| 9 | 2017 | 30 | |
| 10 | 2016 | 27 | |
| 11 | Improving Distantly Supervised Extraction of Drug-Drug and Protein-Protein Interactions | 2012 | 17 |
| 12 | Not all links are equal: Exploiting Dependency Types for the Extraction of Protein-Protein Interactions from Text | 2011 | 15 |
| 13 | 2023 | 14 | |
| 14 | 2018 | 11 | |
| 15 | 2016 | 11 | |
| 16 | 2018 | 8 | |
| 17 | 2023 | 8 | |
| 18 | 2020 | 8 | |
| 19 | 2014 | 8 | |
| 20 | 2020 | 7 |
About Philippe E Thomas
Philippe E Thomas is a scholar working on Artificial Intelligence, Molecular Biology, Aging, Endocrine and Autonomic Systems and Transportation, having authored 36 papers that have together received 764 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (19 papers), Topic Modeling (11 papers), Natural Language Processing Techniques (8 papers), Semantic Web and Ontologies (6 papers), Machine Learning in Bioinformatics (3 papers), Advanced Text Analysis Techniques (3 papers), Bioinformatics and Genomic Networks (3 papers) and Genomics and Phylogenetic Studies (2 papers). The work is most often cited by research in Aging (38 citations), Endocrine and Autonomic Systems (128 citations), Artificial Intelligence (279 citations), Molecular Biology (460 citations) and Health Informatics (8 citations). Philippe E Thomas has collaborated with scholars based in Germany, United States and Hungary. Frequent co-authors include Ulf Leser, Domonkos Tikk, Jörg Hakenberg, Tim Rocktäschel, Mariana Neves, Illés Solt, Roman Klinger, Hanspeter Herzel, Angela Relógio and Johannes Starlinger. Their work appears in journals such as BMC Bioinformatics, PLoS ONE, Bioinformatics, Frontiers in Oncology and Journal of Visualized Experiments.
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.