Jiřı́ Pospı́chal

2.7k total citations · 1 hit paper
57 papers, 1.7k citations indexed

About

Jiřı́ Pospı́chal is a scholar working on Computational Theory and Mathematics, Physical and Theoretical Chemistry and Artificial Intelligence. According to data from OpenAlex, Jiřı́ Pospı́chal has authored 57 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computational Theory and Mathematics, 15 papers in Physical and Theoretical Chemistry and 14 papers in Artificial Intelligence. Recurrent topics in Jiřı́ Pospı́chal's work include Computational Drug Discovery Methods (21 papers), History and advancements in chemistry (13 papers) and Graph theory and applications (10 papers). Jiřı́ Pospı́chal is often cited by papers focused on Computational Drug Discovery Methods (21 papers), History and advancements in chemistry (13 papers) and Graph theory and applications (10 papers). Jiřı́ Pospı́chal collaborates with scholars based in Slovakia, Czechia and Bulgaria. Jiřı́ Pospı́chal's co-authors include Vladimı́r Kvasnička, Daniel Svozil, Štěpán Sklenák, Ladislav Huraj, Luděk Matyska, Jaroslav Koča, Milan Kratochvíl, Ivo Světlík, Pavel P. Povinec and Peter Banda and has published in prestigious journals such as Journal of the American Chemical Society, SHILAP Revista de lepidopterología and IEEE Access.

In The Last Decade

Jiřı́ Pospı́chal

53 papers receiving 1.6k citations

Hit Papers

Introduction to multi-layer feed-forward neural networks 1997 2026 2006 2016 1997 250 500 750 1000

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jiřı́ Pospı́chal Slovakia 13 397 300 201 190 176 57 1.7k
Vladimı́r Kvasnička Slovakia 21 430 1.1× 384 1.3× 147 0.7× 310 1.6× 175 1.0× 100 2.6k
D. Jouan-Rimbaud Belgium 15 386 1.0× 152 0.5× 231 1.1× 142 0.7× 415 2.4× 16 2.8k
W.J. Melssen Netherlands 24 436 1.1× 178 0.6× 149 0.7× 202 1.1× 479 2.7× 48 2.7k
Zhenyu Lu China 24 549 1.4× 234 0.8× 216 1.1× 272 1.4× 148 0.8× 120 1.7k
Seokho Kang South Korea 24 410 1.0× 341 1.1× 159 0.8× 331 1.7× 125 0.7× 84 1.6k
Roy De Maesschalck Belgium 12 349 0.9× 74 0.2× 206 1.0× 156 0.8× 314 1.8× 15 2.4k
Mark J. Embrechts United States 19 723 1.8× 183 0.6× 246 1.2× 144 0.8× 83 0.5× 106 1.9k
José M. Amigó Spain 30 501 1.3× 305 1.0× 452 2.2× 148 0.8× 94 0.5× 157 3.1k
Jiang Li China 17 322 0.8× 104 0.3× 179 0.9× 197 1.0× 95 0.5× 97 1.4k
Harald Stögbauer Germany 5 846 2.1× 126 0.4× 307 1.5× 214 1.1× 175 1.0× 6 3.0k

Countries citing papers authored by Jiřı́ Pospı́chal

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Martsenyuk, Vasyl, Георги Димитров, Marcin Bernaś, et al.. (2024). Designing a Competency-Focused Course on Applied AI Based on Advanced System Research on Business Requirements. Applied Sciences. 14(10). 4107–4107. 2 indexed citations
2.
Huraj, Ladislav, et al.. (2023). Learning enhancement with AI: From idea to implementation. 212–219. 3 indexed citations
3.
Pospı́chal, Jiřı́, et al.. (2022). Solar Irradiance Forecasting with Transformer Model. Applied Sciences. 12(17). 8852–8852. 17 indexed citations
4.
Pospı́chal, Jiřı́, et al.. (2022). Wearable Sensor-Based Human Activity Recognition with Transformer Model. Sensors. 22(5). 1911–1911. 118 indexed citations
5.
Světlík, Ivo, et al.. (2018). A long-term monitoring of 14C in liquid discharges from NPPs in the Czech Republic. Journal of Radioanalytical and Nuclear Chemistry. 318(3). 2263–2271.
6.
Světlík, Ivo, et al.. (2017). Determination of chemical forms of 14C in liquid discharges from nuclear power plants. Journal of Environmental Radioactivity. 177. 256–260. 5 indexed citations
7.
Huraj, Ladislav, et al.. (2017). Combined Heuristic Attack Strategy on Complex Networks. Mathematical Problems in Engineering. 2017(1). 12 indexed citations
8.
Banda, Peter, John S. Caughman, & Jiřı́ Pospı́chal. (2015). Configuration Symmetry and Performance Upper Bound of One-Dimensional Cellular Automata for the Leader Election Problem. Open Repository and Bibliography (University of Luxembourg). 10. 1–21. 1 indexed citations
9.
Pospı́chal, Jiřı́, et al.. (2012). Modular Echo State Neural Networks in Time Series Prediction. Computing and Informatics / Computers and Artificial Intelligence. 30(2). 321–334. 6 indexed citations
10.
Pospı́chal, Jiřı́, et al.. (2011). Recognition of repetitions using Support Vector Machines. 1–6. 5 indexed citations
11.
Kvasnička, Vladimı́r & Jiřı́ Pospı́chal. (1999). An Emergence of Coordinated Communication in Populations of Agents. Artificial Life. 5(4). 319–342. 15 indexed citations
12.
Kvasnička, Vladimı́r & Jiřı́ Pospı́chal. (1997). A hybrid of simplex method and simulated annealing. Chemometrics and Intelligent Laboratory Systems. 39(2). 161–173. 32 indexed citations
13.
Pospı́chal, Jiřı́ & Vladimı́r Kvasnička. (1996). Pruning the search tree in the constructive enumeration of molecular graphs. Discrete Applied Mathematics. 67(1-3). 189–207.
15.
Kvasnička, Vladimı́r & Jiřı́ Pospı́chal. (1994). Fast Evaluation of Chemical Distance by Tabu Search Algorithm. Journal of Chemical Information and Computer Sciences. 34(5). 1109–1112. 10 indexed citations
16.
Sklenák, Štěpán, Vladimı́r Kvasnička, & Jiřı́ Pospı́chal. (1993). Prediction of Regioselectivity in 1,3-Dipolar Cycloaddition Reactions by Neural Networks. 130(1). 103–110.
17.
Kvasnička, Vladimı́r & Jiřı́ Pospı́chal. (1992). An improved method of constructive enumeration of graphs. Journal of Mathematical Chemistry. 9(2). 181–196. 6 indexed citations
18.
Kvasnička, Vladimı́r & Jiřı́ Pospı́chal. (1991). Application of neural networks in chemistry. Prediction of product distribution of nitration in a series of monosubstituted benzenes. Journal of Molecular Structure THEOCHEM. 235(3-4). 227–242. 9 indexed citations
19.
Pospı́chal, Jiřı́, et al.. (1989). Two metrics for a graph-theoretical model of organic chemistry. Journal of Mathematical Chemistry. 3(2). 161–191. 16 indexed citations
20.
Koča, Jaroslav, Milan Kratochvíl, Luděk Matyska, Vladimı́r Kvasnička, & Jiřı́ Pospı́chal. (1989). Synthon Model of Organic Chemistry and Synthesis Design. 24 indexed citations

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.

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