Martin Holeňa
- Materials Chemistry top 5%
- Catalysis top 1%
- Artificial Intelligence top 5%
- Computational Theory and Mathematics top 2%
- Process Chemistry and Technology top 2%
- Co-authors
- M. BaernsUlyana ZavyalovaRobert SchlöglUwe RodemerckNatasha DropkaEvgenii V. KondratenkoDavid LinkeD. Wolf
- Topics
- Advanced Multi-Objective Optimization Algorithms (20 papers)Metaheuristic Optimization Algorithms Research (18 papers)Evolutionary Algorithms and Applications (14 papers)
- Journals
- SHILAP Revista de lepidopterologíaApplied Catalysis B: EnvironmentalACS Catalysis
In The Last Decade
Martin Holeňa
96 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 106
- Materials Chemistry 864
- Catalysis 805
- Artificial Intelligence 313
- Computational Theory and Mathematics 201
- Process Chemistry and Technology 158
Countries citing papers authored by Martin Holeňa
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
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 of co-authors of Martin Holeňa
This figure shows the co-authorship network connecting the top 25 collaborators of Martin Holeňa. A scholar is included among the top collaborators of Martin Holeňa 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 Martin Holeňa. Martin Holeňa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | Two Semi-supervised Approaches to Malware Detection with Neural Networks. | 2 |
| 4 | Rules Extraction from Neural Networks Trained on Multimedia Data. | 0 |
| 5 | Automated Selection of Covariance Function for Gaussian process Surrogate Models. | 2 |
| 6 | Adaptive Doubly Trained Evolution Control for the Covariance Matrix Adaptation Evolution Strategy. | 1 |
| 7 | Random-Forest-Based Analysis of URL Paths. | 2 |
| 8 | Breaking CAPTCHAs with Convolutional Neural Networks. | 9 |
| 9 | K-best Viterbi Semi-supervized Active Learning in Sequence Labelling. | 1 |
| 10 | Image Processing in Collaborative Open Narrative Systems. | 2 |
| 11 | Modeling and Clustering the Behavior of Animals Using Hidden Markov Models. | 1 |
| 12 | Evaluation of Association Rules Extracted during Anomaly Explanation | 1 |
| 13 | Comparing SVM, Gaussian Process and Random Forest Surrogate Models for the CMA-ES | 5 |
| 14 | Comparing Non-Linear Regression Methods on Black-Box Optimization Benchmarks. | 0 |
| 15 | Conformal sets in neural network regression. | 1 |
| 16 | Fuzzy classification rules based on similarity. | 1 |
| 17 | RBF-based surrogate model for evolutionary optimization. | 3 |
| 18 | Assessing the suitability of surrogate models in evolutionary optimization. | 2 |
| 19 | 1 | |
| 20 | Using neural networks to tune heuristic parameters in evolutionary optimization | 0 |
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) and Evolutionary Algorithms and Applications (14 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.