Jiřı́ Pospı́chal
- Artificial Intelligence top 5%
- Computational Theory and Mathematics top 2%
- Computer Vision and Pattern Recognition top 5%
- Electrical and Electronic Engineering
- Biomedical Engineering
- Co-authors
- Vladimı́r KvasničkaDaniel SvozilŠtěpán SklenákLadislav HurajMilan KratochvílJaroslav KočaLuděk MatyskaIvo Světlík
- Topics
- Computational Drug Discovery Methods (21 papers)History and advancements in chemistry (13 papers)Graph theory and applications (10 papers)
- Journals
- Journal of the American Chemical SocietySHILAP Revista de lepidopterologíaIEEE Access
In The Last Decade
Jiřı́ Pospı́chal
53 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 171
- Artificial Intelligence 397
- Computational Theory and Mathematics 300
- Computer Vision and Pattern Recognition 201
- Electrical and Electronic Engineering 190
- Biomedical Engineering 176
Countries citing papers authored by Jiřı́ Pospı́chal
This map shows the geographic impact of Jiřı́ Pospı́chal'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 Jiřı́ Pospı́chal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiřı́ Pospı́chal more than expected).
Fields of papers citing papers by Jiřı́ Pospı́chal
This network shows the impact of papers produced by Jiřı́ Pospı́chal. 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 Jiřı́ Pospı́chal. The network helps show where Jiřı́ Pospı́chal may publish in the future.
Co-authorship network of co-authors of Jiřı́ Pospı́chal
This figure shows the co-authorship network connecting the top 25 collaborators of Jiřı́ Pospı́chal. A scholar is included among the top collaborators of Jiřı́ Pospı́chal 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 Jiřı́ Pospı́chal. Jiřı́ Pospı́chal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 12 | |
| 6 | Configuration Symmetry and Performance Upper Bound of One-Dimensional Cellular Automata for the Leader Election Problem | 1 |
| 7 | Modular Echo State Neural Networks in Time Series Prediction | 6 |
| 8 | Recognition of repetitions using Support Vector Machines | 5 |
| 9 | 15 | |
| 10 | Introduction to multi-layer feed-forward neural networksbreakdown → | 1130 |
| 11 | 0 | |
| 12 | 8 | |
| 13 | Prediction of Regioselectivity in 1,3-Dipolar Cycloaddition Reactions by Neural Networks | 0 |
| 14 | 6 | |
| 15 | 9 | |
| 16 | 9 | |
| 17 | 10 | |
| 18 | 28 | |
| 19 | 4 | |
| 20 | 24 |
About Jiřı́ Pospı́chal
Jiřı́ Pospı́chal is a scholar working on Physical and Theoretical Chemistry, Computational Theory and Mathematics and Geometry and Topology, having authored 57 papers that have together received 1.7k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (21 papers), History and advancements in chemistry (13 papers) and Graph theory and applications (10 papers). The work is most often cited by research in Computational Theory and Mathematics (300 citations), Artificial Intelligence (397 citations) and Analytical Chemistry (100 citations). Jiřı́ Pospı́chal has collaborated with scholars based in Slovakia, Czechia and Poland. Frequent co-authors include Vladimı́r Kvasnička, Daniel Svozil, Štěpán Sklenák, Ladislav Huraj, Milan Kratochvíl, Jaroslav Koča, Luděk Matyska, Ivo Světlík, Pavel P. Povinec and Marcin Bernaś. Their work appears in journals such as Journal of the American Chemical Society, SHILAP Revista de lepidopterología and IEEE Access.
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.