S. Kazarlis
- Electrical and Electronic Engineering top 5%
- Safety, Risk, Reliability and Quality top 2%
- Control and Systems Engineering top 10%
- Artificial Intelligence top 10%
- Computational Theory and Mathematics top 5%
- Co-authors
- Anastasios G. BakirtzisV. PetridisJohn B. TheocharisStelios PapadakisVassilis G. KaburlasosJohn KalomirosLoukas PetrouA. Balouktsis
- Topics
- Metaheuristic Optimization Algorithms Research (5 papers)Evolutionary Algorithms and Applications (5 papers)Advanced Multi-Objective Optimization Algorithms (4 papers)
- Cited by
- Safety, Risk, Reliability and QualityElectrical and Electronic EngineeringEnergy Engineering and Power Technology
- Journals
- IEEE Transactions on Power SystemsIEEE Transactions on Evolutionary ComputationIEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)
- Partner nations
- Greece
In The Last Decade
S. Kazarlis
9 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 64
- Electrical and Electronic Engineering 865
- Safety, Risk, Reliability and Quality 164
- Control and Systems Engineering 155
- Artificial Intelligence 148
- Computational Theory and Mathematics 83
Countries citing papers authored by S. Kazarlis
This map shows the geographic impact of S. Kazarlis'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 S. Kazarlis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Kazarlis more than expected).
Fields of papers citing papers by S. Kazarlis
This network shows the impact of papers produced by S. Kazarlis. 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 S. Kazarlis. The network helps show where S. Kazarlis may publish in the future.
Co-authorship network of co-authors of S. Kazarlis
This figure shows the co-authorship network connecting the top 25 collaborators of S. Kazarlis. A scholar is included among the top collaborators of S. Kazarlis 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 S. Kazarlis. S. Kazarlis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 21 | |
| 5 | 7 | |
| 6 | 9 | |
| 7 | 96 | |
| 8 | 65 | |
| 9 | A genetic algorithm solution to the unit commitment problembreakdown → | 890 |
About S. Kazarlis
S. Kazarlis is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Media Technology, having authored 9 papers that have together received 1.1k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (5 papers), Evolutionary Algorithms and Applications (5 papers) and Advanced Multi-Objective Optimization Algorithms (4 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (164 citations), Electrical and Electronic Engineering (865 citations) and Energy Engineering and Power Technology (21 citations). S. Kazarlis has collaborated with scholars based in Greece. Frequent co-authors include Anastasios G. Bakirtzis, V. Petridis, John B. Theocharis, Stelios Papadakis, Vassilis G. Kaburlasos, John Kalomiros, Loukas Petrou and A. Balouktsis. Their work appears in journals such as IEEE Transactions on Power Systems, IEEE Transactions on Evolutionary Computation and IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics).
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.