Vít Nováček
- Molecular Biology
- Computational Theory and Mathematics top 2%
- Artificial Intelligence top 5%
- Materials Chemistry
- Information Systems
- Co-authors
- Sameh K. MohamedAayah NounuPierre-Yves VandenbusscheSiegfried HandschuhLuca CostabelloTudor GrozaBrian DavisMaría Torrente
- Topics
- Semantic Web and Ontologies (13 papers)Biomedical Text Mining and Ontologies (10 papers)Computational Drug Discovery Methods (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaBioinformaticsExpert Systems with Applications
- Partner nations
- IrelandCzechiaUnited Kingdom
In The Last Decade
Vít Nováček
33 papers receiving 508 citations
Peers
Comparison fields: 5 of 77
- Molecular Biology 299
- Computational Theory and Mathematics 231
- Artificial Intelligence 203
- Materials Chemistry 42
- Information Systems 42
Countries citing papers authored by Vít Nováček
This map shows the geographic impact of Vít Nováček'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 Vít Nováček with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vít Nováček more than expected).
Fields of papers citing papers by Vít Nováček
This network shows the impact of papers produced by Vít Nováček. 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 Vít Nováček. The network helps show where Vít Nováček may publish in the future.
Co-authorship network of co-authors of Vít Nováček
This figure shows the co-authorship network connecting the top 25 collaborators of Vít Nováček. A scholar is included among the top collaborators of Vít Nováček 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 Vít Nováček. Vít Nováček is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 11 | |
| 4 | 2 | |
| 5 | 25 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 17 | |
| 10 | 88 | |
| 11 | Predicting Polypharmacy Side-effects Using Knowledge Graph Embeddings. | 24 |
| 12 | 4 | |
| 13 | 23 | |
| 14 | 4 | |
| 15 | 7 | |
| 16 | 11 | |
| 17 | 5 | |
| 18 | Text Mining for Semantic Relations as a Support Base of a Scientific Portal Generator | 0 |
| 19 | Report and Prototype of Dynamics in the Ontology Lifecycle | 6 |
| 20 | BOLE - A New Bio-Ontology Learning Platform | 1 |
About Vít Nováček
Vít Nováček is a scholar working on Health Informatics, Toxicology and Artificial Intelligence, having authored 34 papers that have together received 521 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (13 papers), Biomedical Text Mining and Ontologies (10 papers) and Computational Drug Discovery Methods (9 papers). The work is most often cited by research in Computational Theory and Mathematics (231 citations), Health Informatics (15 citations) and Toxicology (33 citations). Vít Nováček has collaborated with scholars based in Ireland, Czechia and United Kingdom. Frequent co-authors include Sameh K. Mohamed, Aayah Nounu, Pierre-Yves Vandenbussche, Siegfried Handschuh, Luca Costabello, Tudor Groza, Brian Davis, María Torrente, Mohan Timilsina and Mariano Provencio. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics and Expert Systems with Applications.
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.