Illés Solt
- Molecular Biology
- Artificial Intelligence top 10%
- Computational Theory and Mathematics
- Genetics
- Health Information Management
- Co-authors
- Domonkos TikkUlf LeserPhilippe ThomasJörg HakenbergGraciela Gonzalez‐HernandezGoran NenadićCasey BergmanMartin Gerner
- Topics
- Biomedical Text Mining and Ontologies (11 papers)Semantic Web and Ontologies (4 papers)Advanced Text Analysis Techniques (3 papers)
- Partner nations
- HungaryGermanyUnited States
In The Last Decade
Illés Solt
12 papers receiving 154 citations
Peers
Comparison fields: 5 of 32
- Molecular Biology 142
- Artificial Intelligence 102
- Computational Theory and Mathematics 16
- Genetics 9
- Health Information Management 7
Countries citing papers authored by Illés Solt
This map shows the geographic impact of Illés Solt'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 Illés Solt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Illés Solt more than expected).
Fields of papers citing papers by Illés Solt
This network shows the impact of papers produced by Illés Solt. 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 Illés Solt. The network helps show where Illés Solt may publish in the future.
Co-authorship network of co-authors of Illés Solt
This figure shows the co-authorship network connecting the top 25 collaborators of Illés Solt. A scholar is included among the top collaborators of Illés Solt based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Illés Solt. Illés Solt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 30 | |
| 3 | Not all links are equal: Exploiting Dependency Types for the Extraction of Protein-Protein Interactions from Text | 15 |
| 4 | Learning Protein Protein Interaction Extraction using Distant Supervision | 4 |
| 5 | 54 | |
| 6 | Multi-disciplinary modality classication for medical images | 2 |
| 7 | 3 | |
| 8 | A Simple Ensemble Method for Hedge Identification | 4 |
| 9 | 19 | |
| 10 | 4 | |
| 11 | Gene mention normalization in full texts using GNAT and LINNAEUS | 6 |
| 12 | 11 | |
| 13 | [The representation of the egocentric space in the posterior parietal cortex]. | 0 |
About Illés Solt
Illés Solt is a scholar working on Artificial Intelligence, Molecular Biology and Spectroscopy, having authored 13 papers that have together received 159 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (11 papers), Semantic Web and Ontologies (4 papers) and Advanced Text Analysis Techniques (3 papers). The work is most often cited by research in Artificial Intelligence (102 citations), Molecular Biology (142 citations) and Health Information Management (7 citations). Illés Solt has collaborated with scholars based in Hungary, Germany and United States. Frequent co-authors include Domonkos Tikk, Ulf Leser, Philippe Thomas, Jörg Hakenberg, Graciela Gonzalez‐Hernandez, Goran Nenadić, Casey Bergman, Martin Gerner, Maximilian Haeussler and Conrad Plake. Their work appears in journals such as Bioinformatics, BMC Bioinformatics and Journal of the American Medical Informatics Association.
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.