Jiří Hostaš
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- Crystallography and molecular interactions 6
- Spectroscopy top 5%
- Molecular Sensors and Ion Detection 2
- Organic Chemistry top 10%
- Supramolecular Chemistry and Complexes 5
- Inorganic Chemistry top 10%
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- Computational Drug Discovery Methods 6
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- Machine Learning in Materials Science 10
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- Advanced Chemical Physics Studies 4
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- Protein Structure and Dynamics 3
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- Boron Compounds in Chemistry 2
Jiří Hostaš
21 papers receiving 780 citations
Peers
Comparison fields: 5 of 87
- Physical and Theoretical Chemistry 234
- Spectroscopy 162
- Organic Chemistry 259
- Inorganic Chemistry 117
- Computational Theory and Mathematics 98
Countries citing papers authored by Jiří Hostaš
This map shows the geographic impact of Jiří Hostaš'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 Jiří Hostaš with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiří Hostaš more than expected).
Fields of papers citing papers by Jiří Hostaš
This network shows the impact of papers produced by Jiří Hostaš. 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 Jiří Hostaš. The network helps show where Jiří Hostaš may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jiří Hostaš, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 15 | |
| 6 | 2022 | 10 | |
| 7 | 2022 | 15 | |
| 8 | 2022 | 8 | |
| 9 | 2021 | 4 | |
| 10 | 2021 | 16 | |
| 11 | 2018 | 122 | |
| 12 | A Nexus between Theory and Experiment: Non-empirical Quantum Mechanical Computational Methodology Applied to Cucurbit[n]uril•Guest Binding Interactions | 2018 | 0 |
| 13 | 2017 | 95 | |
| 14 | 2017 | 77 | |
| 15 | 2017 | 61 | |
| 16 | 2016 | 9 | |
| 17 | 2015 | 22 | |
| 18 | 2015 | 13 | |
| 19 | 2015 | 20 | |
| 20 | 2014 | 128 |
About Jiří Hostaš
Jiří Hostaš is a scholar working on Physical and Theoretical Chemistry, Computational Theory and Mathematics, Materials Chemistry, Organic Chemistry and Atomic and Molecular Physics, and Optics, having authored 23 papers that have together received 788 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (10 papers), Computational Drug Discovery Methods (6 papers), Crystallography and molecular interactions (6 papers), Supramolecular Chemistry and Complexes (5 papers), Advanced Chemical Physics Studies (4 papers), Protein Structure and Dynamics (3 papers), Boron Compounds in Chemistry (2 papers) and Molecular Sensors and Ion Detection (2 papers). The work is most often cited by research in Physical and Theoretical Chemistry (234 citations), Spectroscopy (162 citations), Organic Chemistry (259 citations), Inorganic Chemistry (117 citations) and Computational Theory and Mathematics (98 citations). Jiří Hostaš has collaborated with scholars based in Canada, Czechia and Mexico. Frequent co-authors include Pavel Hobza, Jan Řezáč, Michal H. Kolář, Dennis R. Salahub, Said Jalife, Shideh Ahmadi, Robert Glaser, Liping Cao, Lyle Isaacs and Peter Y. Zavalij. Their work appears in journals such as Journal of Chemical Theory and Computation, Theoretical Chemistry Accounts, Journal of Computational Chemistry, Physical Chemistry Chemical Physics and Journal of the American Chemical Society.
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.