Vladimı́r Kvasnička
- Atomic and Molecular Physics, and Optics top 5%
- Artificial Intelligence top 5%
- Computational Theory and Mathematics top 1%
- Spectroscopy top 2%
- Electrical and Electronic Engineering
- Co-authors
- Jiřı́ Pospı́chalDaniel SvozilS. HaykinViliam LaurincStanislav BiskupičIvan HubačŠtěpán SklenákJaroslav Koča
- Topics
- Advanced Chemical Physics Studies (30 papers)Computational Drug Discovery Methods (26 papers)History and advancements in chemistry (18 papers)
In The Last Decade
Vladimı́r Kvasnička
92 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 174
- Atomic and Molecular Physics, and Optics 528
- Artificial Intelligence 430
- Computational Theory and Mathematics 384
- Spectroscopy 342
- Electrical and Electronic Engineering 310
Countries citing papers authored by Vladimı́r Kvasnička
This map shows the geographic impact of Vladimı́r Kvasnička'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 Vladimı́r Kvasnička with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vladimı́r Kvasnička more than expected).
Fields of papers citing papers by Vladimı́r Kvasnička
This network shows the impact of papers produced by Vladimı́r Kvasnička. 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 Vladimı́r Kvasnička. The network helps show where Vladimı́r Kvasnička may publish in the future.
Co-authorship network of co-authors of Vladimı́r Kvasnička
This figure shows the co-authorship network connecting the top 25 collaborators of Vladimı́r Kvasnička. A scholar is included among the top collaborators of Vladimı́r Kvasnička 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 Vladimı́r Kvasnička. Vladimı́r Kvasnička is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | Introduction to multi-layer feed-forward neural networksbreakdown → | 1130 |
| 3 | 0 | |
| 4 | Prediction of Regioselectivity in 1,3-Dipolar Cycloaddition Reactions by Neural Networks | 0 |
| 5 | 6 | |
| 6 | 35 | |
| 7 | 9 | |
| 8 | 10 | |
| 9 | 28 | |
| 10 | 4 | |
| 11 | 24 | |
| 12 | 17 | |
| 13 | 11 | |
| 14 | 53 | |
| 15 | 2 | |
| 16 | 15 | |
| 17 | 9 | |
| 18 | 13 | |
| 19 | 0 | |
| 20 | 1 |
About Vladimı́r Kvasnička
Vladimı́r Kvasnička is a scholar working on Physical and Theoretical Chemistry, Computational Theory and Mathematics and Spectroscopy, having authored 100 papers that have together received 2.6k indexed citations. Recurring topics across this work include Advanced Chemical Physics Studies (30 papers), Computational Drug Discovery Methods (26 papers) and History and advancements in chemistry (18 papers). The work is most often cited by research in Physical and Theoretical Chemistry (237 citations), Computational Theory and Mathematics (384 citations) and Spectroscopy (342 citations). Vladimı́r Kvasnička has collaborated with scholars based in Slovakia, Czechia and Canada. Frequent co-authors include Jiřı́ Pospı́chal, Daniel Svozil, S. Haykin, Viliam Laurinc, Stanislav Biskupič, Ivan Hubač, Štěpán Sklenák, Jaroslav Koča, Milan Kratochvíl and Didier Villemin. Their work appears in journals such as Journal of the American Chemical Society, The Journal of Chemical Physics and Physics Reports.
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.