Milan Hladík

2.8k total citations · 1 hit paper
127 papers, 1.6k citations indexed

About

Milan Hladík is a scholar working on Computational Theory and Mathematics, Control and Systems Engineering and Numerical Analysis. According to data from OpenAlex, Milan Hladík has authored 127 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Computational Theory and Mathematics, 41 papers in Control and Systems Engineering and 38 papers in Numerical Analysis. Recurrent topics in Milan Hladík's work include Numerical Methods and Algorithms (55 papers), Advanced Optimization Algorithms Research (38 papers) and Control Systems and Identification (22 papers). Milan Hladík is often cited by papers focused on Numerical Methods and Algorithms (55 papers), Advanced Optimization Algorithms Research (38 papers) and Control Systems and Identification (22 papers). Milan Hladík collaborates with scholars based in Czechia, Iran and Poland. Milan Hladík's co-authors include Jan Kubečka, Hossein Moosaei, David Daney, Elias Tsigaridas, Marie Prchalová, Jaroslava Frouzová, Martin Čech, Jiří Peterka, Mojmír Vašek and Vladislav Draštík and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and European Journal of Operational Research.

In The Last Decade

Milan Hladík

115 papers receiving 1.5k citations

Hit Papers

A review of Explainable Artificial Intelligence in health... 2024 2026 2025 2024 40 80 120
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A review of Explainable Artificial Intelligence in healthcare
    2024 136 citations Zahra Sadeghi, Roohallah Alizadehsani et al. Computers & Electrical Engineering profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Milan Hladík Czechia 23 675 410 266 265 257 127 1.6k
Santanu S. Dey United States 20 269 0.4× 360 0.9× 240 0.9× 21 0.1× 65 0.3× 85 1.3k
Weldon A. Lodwick United States 25 520 0.8× 491 1.2× 66 0.2× 11 0.0× 412 1.6× 99 2.0k
Herbert K. H. Lee United States 19 608 0.9× 110 0.3× 19 0.1× 7 0.0× 655 2.5× 47 1.5k
Patrick Saint-Pierre France 14 235 0.3× 407 1.0× 90 0.3× 5 0.0× 70 0.3× 49 1.1k
Jesse Frey United States 19 78 0.1× 207 0.5× 9 0.0× 29 0.1× 182 0.7× 83 1.5k
V́ıctor Elvira Spain 22 58 0.1× 190 0.5× 25 0.1× 9 0.0× 792 3.1× 94 1.6k
Jianke Zhang China 15 268 0.4× 138 0.3× 77 0.3× 6 0.0× 174 0.7× 65 812
Antonio Cuevas Spain 20 113 0.2× 169 0.4× 10 0.0× 22 0.1× 645 2.5× 60 2.1k
Olivier Roustant France 16 589 0.9× 84 0.2× 17 0.1× 7 0.0× 326 1.3× 52 1.3k
Andrew Cotter United States 15 51 0.1× 48 0.1× 24 0.1× 183 0.7× 894 3.5× 38 1.7k

Countries citing papers authored by Milan Hladík

Since Specialization
Citations

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

Fields of papers citing papers by Milan Hladík

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Milan Hladík

This figure shows the co-authorship network connecting the top 25 collaborators of Milan Hladík. A scholar is included among the top collaborators of Milan Hladík 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 Milan Hladík. Milan Hladík 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.
Hladík, Milan, et al.. (2025). Absolute value equations with interval uncertainty. Soft Computing. 29(7). 3705–3718. 1 indexed citations
2.
Sadeghi, Zahra, Roohallah Alizadehsani, Mehmet Akif Çifçi, et al.. (2024). A review of Explainable Artificial Intelligence in healthcare. Computers & Electrical Engineering. 118. 109370–109370. 136 indexed citations breakdown →
3.
Hartman, David, et al.. (2024). Positivity and convexity in incomplete cooperative games. Annals of Operations Research. 340(2-3). 785–809.
4.
Hladík, Milan. (2023). Strong solvability of restricted interval systems and its applications in quadratic and geometric programming. Linear Algebra and its Applications. 693. 4–21.
5.
Moosaei, Hossein, et al.. (2023). Newton-based approach to solving K-SVCR and Twin-KSVC multi-class classification in the primal space. Computers & Operations Research. 160. 106370–106370. 2 indexed citations
6.
Hladík, Milan, et al.. (2022). New pruning tests for the branch-and-prune framework for interval parametric linear systems. Soft Computing. 27(18). 12897–12912. 1 indexed citations
7.
Hladík, Milan, et al.. (2019). A new polynomially solvable class of quadratic optimization problems\n with box constraints. arXiv (Cornell University). 2 indexed citations
8.
9.
Hladík, Milan, et al.. (2018). Interval Linear Programming under Transformations: Optimal Solutions and\n Optimal Value Range. arXiv (Cornell University). 14 indexed citations
10.
11.
Hladík, Milan. (2018). The Worst Case Finite Optimal Value in Interval Linear Programming. Croatian Operational Research Review. 9(2). 245–254. 3 indexed citations
12.
Chakraverty, Snehashish, Milan Hladík, & Diptiranjan Behera. (2017). Formal solution of an interval system of linear equations with an application in static responses of structures with interval forces. Applied Mathematical Modelling. 50. 105–117. 13 indexed citations
13.
Hladík, Milan & Jǐŕı Rohn. (2016). Radii of solvability and unsolvability of linear systems. Linear Algebra and its Applications. 503. 120–134. 3 indexed citations
14.
Schmid, Martin, et al.. (2015). Automatic Public State Space Abstraction in Imperfect Information Games. National Conference on Artificial Intelligence. 1 indexed citations
15.
Hladík, Milan, et al.. (2015). Inverse linear programming with interval coefficients. Journal of Computational and Applied Mathematics. 292. 591–608. 11 indexed citations
16.
Hladík, Milan, David Daney, & Elias Tsigaridas. (2011). Characterizing and approximating eigenvalue sets of symmetric interval matrices. Computers & Mathematics with Applications. 62(8). 3152–3163. 16 indexed citations
17.
Hladík, Milan. (2010). Interval valued bimatrix games. Kybernetika. 46(3). 435–446. 16 indexed citations
18.
Hladík, Milan. (2010). Solution Sets of Complex Linear Interval Systems of Equations.. Reliable Computing. 14. 78–87. 12 indexed citations
19.
Hladík, Milan. (2008). Separation of convex polyhedral sets with column parameters. Kybernetika. 44(1). 113–130. 2 indexed citations
20.
Hladík, Milan, David Daney, & Elias Tsigaridas. (2008). An Algorithm for the Real Interval Eigenvalue Problem. SPIRE - Sciences Po Institutional REpository. 9(7). 28–9. 3 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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