Mihály Csaba Markót

446 total citations
22 papers, 258 citations indexed

About

Mihály Csaba Markót is a scholar working on Computational Theory and Mathematics, Numerical Analysis and Industrial and Manufacturing Engineering. According to data from OpenAlex, Mihály Csaba Markót has authored 22 papers receiving a total of 258 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computational Theory and Mathematics, 7 papers in Numerical Analysis and 6 papers in Industrial and Manufacturing Engineering. Recurrent topics in Mihály Csaba Markót's work include Numerical Methods and Algorithms (11 papers), Advanced Optimization Algorithms Research (7 papers) and Optimization and Packing Problems (5 papers). Mihály Csaba Markót is often cited by papers focused on Numerical Methods and Algorithms (11 papers), Advanced Optimization Algorithms Research (7 papers) and Optimization and Packing Problems (5 papers). Mihály Csaba Markót collaborates with scholars based in Hungary, Austria and Netherlands. Mihály Csaba Markót's co-authors include Tibor Csendes, Hermann Schichl, Vincenzo Parenti‐Castelli, Rocco Vertechy, Carlo Menon, José Fernández, L. G. Casado, Arnold Neumaier, Endre Rév and Z. Fonyó and has published in prestigious journals such as AIChE Journal, IEEE Transactions on Robotics and Mathematical Programming.

In The Last Decade

Mihály Csaba Markót

22 papers receiving 245 citations

Peers

Mihály Csaba Markót
Comparison fields: 5 of 48
  • Computational Theory and Mathematics 107
  • Control and Systems Engineering 74
  • Industrial and Manufacturing Engineering 62
  • Numerical Analysis 62
  • Computer Graphics and Computer-Aided Design 36
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Citations per field, relative to Mihály Csaba Markót
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Citations per year, relative to Mihály Csaba Markót
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Countries citing papers authored by Mihály Csaba Markót

Since Specialization
Citations

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

Fields of papers citing papers by Mihály Csaba Markót

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mihály Csaba Markót. 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 Mihály Csaba Markót. The network helps show where Mihály Csaba Markót may publish in the future.

Co-authorship network of co-authors of Mihály Csaba Markót

This figure shows the co-authorship network connecting the top 25 collaborators of Mihály Csaba Markót. A scholar is included among the top collaborators of Mihály Csaba Markót 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 Mihály Csaba Markót. Mihály Csaba Markót 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
# Work Indexed citations
1 2
2 7
3 1
4 4
5 5
6 13
7 5
8 6
9
BBO-Benchmarking of the GLOBAL method for the Noiseless Function Testbed
5
10
New approaches to circle packing in a square : with program codes. (Optimization and its applications 6.)
2
11
The ACT Distributed Computing Environment v. 2.3 - Administrator's Guide and Instructions for Further Development
1
12 3
13 9
14 19
15 5
16 43
17 27
18 12
19 29
20 27

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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