Márta Takács

714 total citations
72 papers, 514 citations indexed

About

Márta Takács is a scholar working on Artificial Intelligence, Control and Systems Engineering and Management Science and Operations Research. According to data from OpenAlex, Márta Takács has authored 72 papers receiving a total of 514 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 19 papers in Control and Systems Engineering and 13 papers in Management Science and Operations Research. Recurrent topics in Márta Takács's work include Fuzzy Logic and Control Systems (25 papers), Multi-Criteria Decision Making (11 papers) and Rough Sets and Fuzzy Logic (8 papers). Márta Takács is often cited by papers focused on Fuzzy Logic and Control Systems (25 papers), Multi-Criteria Decision Making (11 papers) and Rough Sets and Fuzzy Logic (8 papers). Márta Takács collaborates with scholars based in Hungary, Serbia and Romania. Márta Takács's co-authors include József K. Tar, Radu‐Emil Precup, Imre J. Rudas, Ștefan Preitl, Marius L. Tomescu, Péter Köröndi, Péter Bárányi, Levente Kovács, Miklós Kozlovszky and Zoltán Vámossy and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, Fuzzy Sets and Systems and Mathematics.

In The Last Decade

Márta Takács

61 papers receiving 481 citations

Peers

Márta Takács
Comparison fields: 5 of 95
  • Control and Systems Engineering 187
  • Artificial Intelligence 150
  • Biomedical Engineering 64
  • Computer Vision and Pattern Recognition 56
  • Computer Networks and Communications 50
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Volker Lohweg Germany
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Lihui Cen China
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Citations per field, relative to Márta Takács
Márta Takács · 1×
Citations per year, relative to Márta Takács
Márta Takács · 1×

Countries citing papers authored by Márta Takács

Since Specialization
Citations

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

Fields of papers citing papers by Márta Takács

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Márta Takács

This figure shows the co-authorship network connecting the top 25 collaborators of Márta Takács. A scholar is included among the top collaborators of Márta Takács 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 Márta Takács. Márta Takács 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 1
2 0
3 2
4 0
5 26
6 1
7 0
8 7
9 1
10 13
11 4
12 22
13 4
14
Operator Dependent Variations of the Mamdani-Type Inference System Model to Reduce the Computational Needs in Real-Time Evaluation
9
15 6
16 15
17
The AHP extended fuzzy based risk management
2
18
Use of Multi-parametric Quadratic Programming in Fuzzy Control Systems
79
19 1
20
Investigation on a Special Group of Fuzzy Implication Operators and Fuzzy Inference Mechanisms Using a Simplified Rule Base System.
0

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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