Michael Kommenda

1.4k citations
41 papers · 455 indexed · h-index 12
Topics
Evolutionary Algorithms and Applications (22 papers)Metaheuristic Optimization Algorithms Research (17 papers)Advanced Multi-Objective Optimization Algorithms (10 papers)
Journals
SHILAP Revista de lepidopterologíaIEEE Transactions on Industrial ElectronicsBMC Bioinformatics
Partner nations
AustriaBrazilGermany

In The Last Decade

Michael Kommenda

38 papers receiving 442 citations

Peers

Michael Kommenda
Comparison fields: 5 of 88
  • Artificial Intelligence 223
  • Mechanical Engineering 71
  • Molecular Biology 69
  • Computational Theory and Mathematics 68
  • Electrical and Electronic Engineering 49
Replace Edgar O. Reséndiz‐Flores with:
Edgar O. Reséndiz‐Flores Mexico
Nadeem Salamat Pakistan
Yajie Bao China
Aditya Kumar United States
Fei Feng China
Wen‐Bo Xie China
H. M. Paynter United States
Zi Wang China
Zhaoyun Chen China
Michael Kommenda relative to Edgar O. Reséndiz‐Flores Mexico Edgar O. Reséndiz‐Flores's profile →
Citations per field
00.5×9.9×
Edgar O. Reséndiz‐Flores · 1×
Citations per year

Countries citing papers authored by Michael Kommenda

Since Specialization
Citations

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

Fields of papers citing papers by Michael Kommenda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Kommenda

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Kommenda. A scholar is included among the top collaborators of Michael Kommenda 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 Michael Kommenda. Michael Kommenda 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
#WorkIndexed citations
1 14
2 2
3 0
4 26
5 7
6 57
7 7
8
Sensor-based modeling of radial fans
1
9 1
10 3
11 3
12 2
13 5
14
Integrated simulation and optimization in HeuristicLab
2
15 6
16 1
17 13
18 8
19
Feature selection in the analysis of tumor marker data using evolutionary algorithms
3
20 9

About Michael Kommenda

Michael Kommenda is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Statistics, Probability and Uncertainty, having authored 41 papers that have together received 455 indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (22 papers), Metaheuristic Optimization Algorithms Research (17 papers) and Advanced Multi-Objective Optimization Algorithms (10 papers). The work is most often cited by research in Artificial Intelligence (223 citations), Fluid Flow and Transfer Processes (37 citations) and Computational Theory and Mathematics (68 citations). Michael Kommenda has collaborated with scholars based in Austria, Brazil and Germany. Frequent co-authors include Gabriel Kronberger, Bogdan Burlacu, Michael Affenzeller, Stephan Winkler, Ştefan Wagner, Christian Marschik, Wolfgang Roland, Fabrício Olivetti de França, Siegfried Silber and Gerd Bramerdorfer. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Industrial Electronics and BMC Bioinformatics.

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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