Mirko Křivánek

700 total citations
11 papers, 366 citations indexed

About

Mirko Křivánek is a scholar working on Computer Vision and Pattern Recognition, Mathematical Physics and Computational Theory and Mathematics. According to data from OpenAlex, Mirko Křivánek has authored 11 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 3 papers in Mathematical Physics and 3 papers in Computational Theory and Mathematics. Recurrent topics in Mirko Křivánek's work include Graph Theory and Algorithms (3 papers), advanced mathematical theories (3 papers) and Advanced Graph Theory Research (2 papers). Mirko Křivánek is often cited by papers focused on Graph Theory and Algorithms (3 papers), advanced mathematical theories (3 papers) and Advanced Graph Theory Research (2 papers). Mirko Křivánek collaborates with scholars based in Czechia, Slovakia and Belgium. Mirko Křivánek's co-authors include Vincent Granville, J.P. Rasson and Ivan M. Havel and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Computational Statistics & Data Analysis and Information Processing Letters.

In The Last Decade

Mirko Křivánek

9 papers receiving 338 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mirko Křivánek Czechia	4	118	78	63	47	47	11	366
Suely Oliveira United States	13	72 0.6×	94 1.2×	40 0.6×	16 0.3×	30 0.6×	52	378
F. Bourgeois Switzerland	7	139 1.2×	27 0.3×	81 1.3×	33 0.7×	112 2.4×	16	421
Jean‐Luc Lutton France	6	109 0.9×	50 0.6×	66 1.0×	21 0.4×	26 0.6×	9	268
A.R. Butz United States	7	97 0.8×	86 1.1×	77 1.2×	86 1.8×	27 0.6×	20	423
Stefan Schirra Germany	12	63 0.5×	116 1.5×	105 1.7×	99 2.1×	52 1.1×	40	538
Rolf Wanka Germany	11	144 1.2×	102 1.3×	157 2.5×	9 0.2×	33 0.7×	33	361
Vincent Granville Belgium	4	76 0.6×	22 0.3×	38 0.6×	14 0.3×	46 1.0×	13	264
Rong Ge United States	11	191 1.6×	74 0.9×	44 0.7×	92 2.0×	42 0.9×	28	579
D.E. Van den Bout United States	9	315 2.7×	37 0.5×	98 1.6×	45 1.0×	164 3.5×	23	552
Naum N. Aizenberg Ukraine	8	272 2.3×	26 0.3×	110 1.7×	23 0.5×	72 1.5×	27	408

Countries citing papers authored by Mirko Křivánek

Since Specialization

Citations

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

Fields of papers citing papers by Mirko Křivánek

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mirko Křivánek

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

All Works

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11 of 11 papers shown

1.

Granville, Vincent, Mirko Křivánek, & J.P. Rasson. (1994). Simulated annealing: a proof of convergence. IEEE Transactions on Pattern Analysis and Machine Intelligence. 16(6). 652–656. 224 indexed citations

2.

Granville, Vincent, et al.. (1993). Clustering, classification and image segmentation on the grid. Computational Statistics & Data Analysis. 15(2). 199–209. 3 indexed citations

3.

Křivánek, Mirko. (1991). Algorithmic and Geometric Aspects of Cluster Analysis.. 3 indexed citations

4.

Křivánek, Mirko. (1988). A note on the computational complexity of computing the edge rotation distance between graphs. Časopis pro pěstování matematiky. 113(1). 52–55. 1 indexed citations

5.

Křivánek, Mirko. (1988). The complexity of ultrametric partitions on graphs. Information Processing Letters. 27(5). 265–270. 18 indexed citations

6.

Křivánek, Mirko. (1986). The complexity of finding compact well-separated clusters. Computing and Informatics / Computers and Artificial Intelligence. 5(2). 117–121.

7.

Křivánek, Mirko, et al.. (1986). NP-hard problems in hierarchical-tree clustering. Acta Informatica. 23(3). 311–323. 108 indexed citations

8.

Křivánek, Mirko. (1986). Hexagonal unit network—A tool for proving the NP-completeness results of geometric problems. Information Processing Letters. 22(1). 37–41. 2 indexed citations

9.

Křivánek, Mirko. (1986). Computing the nearest neighbor interchange metric for unlabeled binary trees is NP-complete. Journal of Classification. 3(1). 55–60. 6 indexed citations

10.

Křivánek, Mirko. (1985). A note on the computational complexity of hierarchical overlapping clustering. Applications of Mathematics. 30(6). 453–460.

11.

Havel, Ivan M. & Mirko Křivánek. (1982). On maximal matchings in $Q_6$ and a conjecture of R. Forcade. Commentationes Mathematicae Universitatis Carolinae. 23(1). 123–136. 1 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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