Daniel Průša

431 total citations
26 papers, 174 citations indexed

About

Daniel Průša is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Daniel Průša has authored 26 papers receiving a total of 174 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computational Theory and Mathematics, 12 papers in Artificial Intelligence and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Daniel Průša's work include DNA and Biological Computing (7 papers), Algorithms and Data Compression (7 papers) and Handwritten Text Recognition Techniques (6 papers). Daniel Průša is often cited by papers focused on DNA and Biological Computing (7 papers), Algorithms and Data Compression (7 papers) and Handwritten Text Recognition Techniques (6 papers). Daniel Průša collaborates with scholars based in Czechia, Italy and Germany. Daniel Průša's co-authors include Václav Hlaváč, Tomáš Werner, Pavel Kršek, Masaki Nakagawa, František Mráz, Vojtěch Franc, Friedrich Otto, Giovanni Pighizzini and Klaus Reinhardt and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, SIAM Journal on Optimization and Theoretical Computer Science.

In The Last Decade

Daniel Průša

25 papers receiving 161 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Průša Czechia	6	91	49	32	28	26	26	174
Yuyang Liu China	9	84 0.9×	122 2.5×	8 0.3×	17 0.6×	13 0.5×	14	215
Yaqi Zhang China	9	56 0.6×	49 1.0×	9 0.3×	5 0.2×	22 0.8×	24	332
Michael A. Bekos Germany	8	143 1.6×	8 0.2×	57 1.8×	44 1.6×	4 0.2×	51	233
H. Fatih Uğurdağ Türkiye	10	30 0.3×	39 0.8×	39 1.2×	4 0.1×	13 0.5×	55	291
Ming-Fang Weng Taiwan	9	213 2.3×	61 1.2×	8 0.3×	4 0.1×	6 0.2×	18	249
Wenhan Zhang United States	9	111 1.2×	92 1.9×	8 0.3×	6 0.2×	12 0.5×	24	297
Yuandong Tian United States	9	54 0.6×	128 2.6×	7 0.2×	8 0.3×	18 0.7×	17	252
Youshou Wu China	10	247 2.7×	76 1.6×	6 0.2×	5 0.2×	16 0.6×	27	324
Wenming Li China	9	54 0.6×	40 0.8×	7 0.2×	5 0.2×	7 0.3×	50	250
Mohamed S. Abdelfattah Canada	11	73 0.8×	96 2.0×	8 0.3×	5 0.2×	6 0.2×	28	417

Countries citing papers authored by Daniel Průša

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Průša

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Průša

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Průša. A scholar is included among the top collaborators of Daniel Průša 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 Daniel Průša. Daniel Průša 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.

Pighizzini, Giovanni, et al.. (2023). Weight-reducing Turing machines. Information and Computation. 292. 105030–105030. 1 indexed citations

2.

Franc, Vojtěch & Daniel Průša. (2019). On discriminative learning of prediction uncertainty. International Conference on Machine Learning. 1963–1971. 6 indexed citations

3.

Průša, Daniel & Tomáš Werner. (2019). Solving LP Relaxations of Some NP-Hard Problems Is As Hard As Solving Any Linear Program. SIAM Journal on Optimization. 29(3). 1745–1771. 1 indexed citations

4.

Průša, Daniel & Tomáš Werner. (2017). LP relaxations of some NP-hard problems are as hard as any LP. Symposium on Discrete Algorithms. 1372–1382. 1 indexed citations

5.

Průša, Daniel, et al.. (2017). Rank-Reducing Two-Dimensional Grammars for Document Layout Analysis. 1120–1125. 1 indexed citations

6.

Průša, Daniel & Tomáš Werner. (2017). LP Relaxations of Some NP-Hard Problems Are as Hard as Any LP. 1372–1382. 1 indexed citations

7.

Průša, Daniel & Klaus Reinhardt. (2016). Undecidability of the emptiness problem for context-free picture languages. Theoretical Computer Science. 679. 118–125.

8.

Průša, Daniel, et al.. (2016). Online recognition of sketched arrow-connected diagrams. International Journal on Document Analysis and Recognition (IJDAR). 19(3). 253–267. 26 indexed citations

9.

Průša, Daniel & Tomáš Werner. (2016). LP Relaxation of the Potts Labeling Problem Is as Hard as Any Linear Program. IEEE Transactions on Pattern Analysis and Machine Intelligence. 39(7). 1469–1475. 5 indexed citations

10.

Mráz, František, Friedrich Otto, & Daniel Průša. (2015). On a class of rational functions for pictures.. 159–176. 2 indexed citations

11.

Průša, Daniel. (2015). Non-recursive trade-offs between two-dimensional automata and grammars. Theoretical Computer Science. 610. 121–132. 2 indexed citations

12.

Průša, Daniel. (2015). Graph-based simplex method for pairwise energy minimization with binary variables. 1. 475–483. 2 indexed citations

13.

Průša, Daniel, et al.. (2014). Recognition System for On-Line Sketched Diagrams. 563–568. 23 indexed citations

14.

Průša, Daniel & Tomáš Werner. (2014). Universality of the Local Marginal Polytope. IEEE Transactions on Pattern Analysis and Machine Intelligence. 37(4). 898–904. 5 indexed citations

15.

Průša, Daniel, et al.. (2014). Garment perception and its folding using a dual-arm robot. 53 indexed citations

16.

Průša, Daniel, František Mráz, & Friedrich Otto. (2014). Two-dimensional Sgraffito automata. RAIRO - Theoretical Informatics and Applications. 48(5). 505–539. 3 indexed citations

17.

Průša, Daniel & František Mráz. (2013). RESTARTING TILING AUTOMATA. International Journal of Foundations of Computer Science. 24(6). 863–878. 4 indexed citations

18.

Průša, Daniel, et al.. (2012). MfrDB: Database of Annotated On-Line Mathematical Formulae. 10. 542–547. 5 indexed citations

19.

Průša, Daniel, et al.. (2011). Web application for recognition of mathematical formulas.. 47–54. 2 indexed citations

20.

Průša, Daniel & Václav Hlaváč. (2006). 2D context-free grammars: Mathematical formulae recognition.. 77–89. 5 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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