Jiří Vomlel

605 total citations
30 papers, 335 citations indexed

About

Jiří Vomlel is a scholar working on Artificial Intelligence, Management Science and Operations Research and Information Systems. According to data from OpenAlex, Jiří Vomlel has authored 30 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 6 papers in Management Science and Operations Research and 5 papers in Information Systems. Recurrent topics in Jiří Vomlel's work include Bayesian Modeling and Causal Inference (24 papers), AI-based Problem Solving and Planning (4 papers) and Rough Sets and Fuzzy Logic (4 papers). Jiří Vomlel is often cited by papers focused on Bayesian Modeling and Causal Inference (24 papers), AI-based Problem Solving and Planning (4 papers) and Rough Sets and Fuzzy Logic (4 papers). Jiří Vomlel collaborates with scholars based in Czechia, Denmark and United States. Jiří Vomlel's co-authors include Marco Valtorta, Young‐Gyun Kim, Milan Studený, Petr Savický, Helge Langseth, Finn V. Jensen, Raymond Hemmecke, Uffe Kjærulff, N. Bello González and R. Schlichenmaier and has published in prestigious journals such as Soft Computing, International Journal of Approximate Reasoning and International Journal of Intelligent Systems.

In The Last Decade

Jiří Vomlel

29 papers receiving 286 citations

Peers

Jiří Vomlel

AI

MSOR

SOFTW

IS

SP

Jaak Tepandi Estonia

Wenpin Jiao China

Klaus Schild Germany

Pierre Flener Sweden

Sergio Jiménez Colombia

Mark Drummond United States

Zongtian Liu China

Yuri Malitsky United States

F. Cuppens France

Jaak Tepandi Estonia

Jiří Vomlel

204 ×0.8

AI

45 ×0.8

MSOR

27 ×0.7

SOFTW

60 ×1.6

IS

26 ×0.7

SP

Citations per year, relative to Jiří Vomlel Jiří Vomlel (= 1×) peers Jaak Tepandi

Countries citing papers authored by Jiří Vomlel

Since Specialization

Citations

This map shows the geographic impact of Jiří Vomlel'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 Vomlel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiří Vomlel more than expected).

Fields of papers citing papers by Jiří Vomlel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jiří Vomlel. 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 Vomlel. The network helps show where Jiří Vomlel may publish in the future.

Co-authorship network of co-authors of Jiří Vomlel

This figure shows the co-authorship network connecting the top 25 collaborators of Jiří Vomlel. A scholar is included among the top collaborators of Jiří Vomlel 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 Jiří Vomlel. Jiří Vomlel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

1.

Vomlel, Jiří, et al.. (2023). Structural learning of mixed noisy-OR Bayesian networks. International Journal of Approximate Reasoning. 161. 108990–108990. 2 indexed citations

2.

Vomlel, Jiří, et al.. (2023). Learning the Structure of Bayesian Networks from Incomplete Data Using a Mixture Model. Informatica. 47(1). 3 indexed citations

3.

Vomlel, Jiří, et al.. (2019). Learning bipartite Bayesian networks under monotonicity restrictions. International Journal of General Systems. 49(1). 88–111. 2 indexed citations

4.

Jurčák, J., R. Rezaei, N. Bello González, R. Schlichenmaier, & Jiří Vomlel. (2018). The magnetic nature of umbra–penumbra boundary in sunspots. Springer Link (Chiba Institute of Technology). 31 indexed citations

5.

Tichavský, Petr & Jiří Vomlel. (2018). Representations of Bayesian networks by low-rank models. Digital Repository (National Repository of Grey Literature). 463–474. 1 indexed citations

6.

Vomlel, Jiří, et al.. (2016). Influence diagrams for speed profile optimization. International Journal of Approximate Reasoning. 88. 567–586. 2 indexed citations

7.

Vomlel, Jiří. (2015). Generalizations of the noisy-or model. Kybernetika. 508–524. 5 indexed citations

8.

Vomlel, Jiří & Petr Tichavský. (2013). Probabilistic inference with noisy-threshold models based on a CP tensor decomposition. International Journal of Approximate Reasoning. 55(4). 1072–1092. 2 indexed citations

9.

Vomlel, Jiří, et al.. (2012). All roads lead to Rome—New search methods for the optimal triangulation problem. International Journal of Approximate Reasoning. 53(9). 1350–1366. 3 indexed citations

10.

Vomlel, Jiří. (2011). Rank of tensors of l-out-of-k functions: an application in probabilistic inference.. Kybernetika. 47(3). 317–336. 1 indexed citations

11.

Studený, Milan, Jiří Vomlel, & Raymond Hemmecke. (2010). A geometric view on learning Bayesian network structures. International Journal of Approximate Reasoning. 51(5). 573–586. 21 indexed citations

12.

Studený, Milan & Jiří Vomlel. (2008). A reconstruction algorithm for the essential graph. International Journal of Approximate Reasoning. 50(2). 385–413. 9 indexed citations

13.

Savický, Petr & Jiří Vomlel. (2007). Exploiting tensor rank-one decomposition in probabilistic inference. Kybernetika. 43(5). 747–764. 17 indexed citations

14.

Vomlel, Jiří. (2006). Noisy-or classifier: Research Articles. International Journal of Intelligent Systems. 21(3). 381–398. 7 indexed citations

15.

Vomlel, Jiří. (2006). Noisy-or classifier. International Journal of Intelligent Systems. 21(3). 381–398. 17 indexed citations

16.

Vomlel, Jiří. (2004). Building adaptive tests using Bayesian networks. Kybernetika. 40(3). 333–348. 4 indexed citations

17.

Vomlel, Jiří. (2004). BAYESIAN NETWORKS IN EDUCATIONAL TESTING. International Journal of Uncertainty Fuzziness and Knowledge-Based Systems. 12(supp01). 83–100. 34 indexed citations

18.

Kim, Young‐Gyun, Marco Valtorta, & Jiří Vomlel. (2004). A Prototypical System for Soft Evidential Update. Applied Intelligence. 21(1). 81–97. 12 indexed citations

19.

Valtorta, Marco, Young‐Gyun Kim, & Jiří Vomlel. (2002). Soft evidential update for probabilistic multiagent systems. International Journal of Approximate Reasoning. 29(1). 71–106. 40 indexed citations

20.

Vomlel, Jiří, et al.. (2000). Troubleshooting: NP-Hardness and Solution Methods. 198–212. 7 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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