Martin Holeňa

2.3k citations
103 papers · 1.6k indexed · h-index 18

Martin Holeňa

96 papers receiving 1.5k citations

Peers

Martin Holeňa
Comparison fields: 5 of 106
  • Catalysis 805
  • Process Chemistry and Technology 158
  • Materials Chemistry 864
  • Computational Theory and Mathematics 201
  • Artificial Intelligence 313
Replace Vasilios I. Manousiouthakis with:
Vasilios I. Manousiouthakis United States
Dazhi Zhang China
Jian–wei Liu China
Zhi‐Hua Zhou China
Mikkel T. Jensen Denmark
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Jongsoo Park South Korea
Yoshiaki Kawajiri United States
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Citations per year

Countries citing papers authored by Martin Holeňa

Since Specialization
Citations

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

Fields of papers citing papers by Martin Holeňa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Martin Holeňa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Martin Holeňa Line = papers co-authored together Martin Holeňa links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20235
3
Two Semi-supervised Approaches to Malware Detection with Neural Networks.
20202
4
Rules Extraction from Neural Networks Trained on Multimedia Data.
20190
5
Automated Selection of Covariance Function for Gaussian process Surrogate Models.
20182
6
Adaptive Doubly Trained Evolution Control for the Covariance Matrix Adaptation Evolution Strategy.
20171
7
Random-Forest-Based Analysis of URL Paths.
20172
8
Breaking CAPTCHAs with Convolutional Neural Networks.
20179
9
K-best Viterbi Semi-supervized Active Learning in Sequence Labelling.
20171
10
Image Processing in Collaborative Open Narrative Systems.
20162
11
Modeling and Clustering the Behavior of Animals Using Hidden Markov Models.
20161
12
Evaluation of Association Rules Extracted during Anomaly Explanation
20151
13
Comparing SVM, Gaussian Process and Random Forest Surrogate Models for the CMA-ES
20155
14
Comparing Non-Linear Regression Methods on Black-Box Optimization Benchmarks.
20150
15
Conformal sets in neural network regression.
20121
16
Fuzzy classification rules based on similarity.
20121
17
RBF-based surrogate model for evolutionary optimization.
20123
18
Assessing the suitability of surrogate models in evolutionary optimization.
20112
19 20101
20
Using neural networks to tune heuristic parameters in evolutionary optimization
20060

About Martin Holeňa

Martin Holeňa is a scholar working on Computational Theory and Mathematics, Catalysis and Artificial Intelligence, having authored 103 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (20 papers), Metaheuristic Optimization Algorithms Research (18 papers), Evolutionary Algorithms and Applications (14 papers), Neural Networks and Applications (13 papers), Catalytic Processes in Materials Science (12 papers), Catalysis and Oxidation Reactions (11 papers), Fuzzy Logic and Control Systems (11 papers) and Rough Sets and Fuzzy Logic (8 papers). The work is most often cited by research in Catalysis (805 citations), Process Chemistry and Technology (158 citations) and Materials Chemistry (864 citations). Martin Holeňa has collaborated with scholars based in Czechia, Germany and Canada. Frequent co-authors include M. Baerns, Ulyana Zavyalova, Robert Schlögl, Uwe Rodemerck, Natasha Dropka, Evgenii V. Kondratenko, David Linke, D. Wolf, Quido Smejkal and Axel Barkschat. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Catalysis B: Environmental and ACS Catalysis.

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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