S. Kazarlis

1.6k total citations · 1 hit paper
9 papers, 1.1k citations indexed

About

S. Kazarlis is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Electrical and Electronic Engineering. According to data from OpenAlex, S. Kazarlis has authored 9 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 4 papers in Computational Theory and Mathematics and 2 papers in Electrical and Electronic Engineering. Recurrent topics in S. Kazarlis's work include Metaheuristic Optimization Algorithms Research (5 papers), Evolutionary Algorithms and Applications (5 papers) and Advanced Multi-Objective Optimization Algorithms (4 papers). S. Kazarlis is often cited by papers focused on Metaheuristic Optimization Algorithms Research (5 papers), Evolutionary Algorithms and Applications (5 papers) and Advanced Multi-Objective Optimization Algorithms (4 papers). S. Kazarlis collaborates with scholars based in Greece. S. Kazarlis's co-authors include Anastasios G. Bakirtzis, V. Petridis, John B. Theocharis, Stelios Papadakis, Vassilis G. Kaburlasos, John Kalomiros, Loukas Petrou and A. Balouktsis and has published in prestigious journals such as IEEE Transactions on Power Systems, IEEE Transactions on Evolutionary Computation and IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics).

In The Last Decade

S. Kazarlis

9 papers receiving 1.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A genetic algorithm solution to the unit commitment problem

1996 890 citations S. Kazarlis, Anastasios G. Bakirtzis et al. IEEE Transactions on Power Systems profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
S. Kazarlis Greece	6	865	164	155	148	83	9	1.1k
K. Chandrasekaran India	19	887 1.0×	81 0.5×	310 2.0×	242 1.6×	71 0.9×	48	1.2k
Lokesh Kumar Panwar India	17	652 0.8×	52 0.3×	226 1.5×	264 1.8×	99 1.2×	46	982
S. Prabhakar Karthikeyan India	15	674 0.8×	53 0.3×	234 1.5×	101 0.7×	37 0.4×	106	967
T. Aruldoss Albert Victoire India	16	1.3k 1.4×	46 0.3×	319 2.1×	275 1.9×	59 0.7×	49	1.6k
Kürşat Ayan Türkiye	12	503 0.6×	41 0.3×	245 1.6×	169 1.1×	21 0.3×	24	914
Habib Rajabi Mashhadi Iran	23	1.5k 1.8×	211 1.3×	958 6.2×	121 0.8×	39 0.5×	109	1.8k
Keinosuke Matsumoto Japan	10	420 0.5×	97 0.6×	200 1.3×	138 0.9×	36 0.4×	54	590
K. Nara Japan	17	1.9k 2.2×	541 3.3×	1.0k 6.5×	79 0.5×	41 0.5×	51	2.0k
Andrey Bernstein United States	20	1.2k 1.3×	100 0.6×	782 5.0×	129 0.9×	46 0.6×	93	1.5k
Dong Liu China	16	587 0.7×	56 0.3×	426 2.7×	56 0.4×	15 0.2×	132	844

Countries citing papers authored by S. Kazarlis

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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9 of 9 papers shown

1.

Kazarlis, S., et al.. (2016). A Cartesian Genetic Programming Approach for evolving Optimal Digital Circuits. Journal of Engineering Science and Technology Review. 9(5). 88–92. 4 indexed citations

2.

Kazarlis, S., et al.. (2015). Intrinsic evolution of digital circuits based on a reconfigurable hyper-structure. 23. 1–6. 2 indexed citations

3.

Kaburlasos, Vassilis G., Stelios Papadakis, & S. Kazarlis. (2004). A genetically optimized ensemble of is σ-FLNMAP neural classifiers based on non-parametric probability distribution functions. 1. 426–431. 1 indexed citations

4.

Petridis, V., S. Kazarlis, & Vassilis G. Kaburlasos. (2003). ACES: an interactive software platform for self-instruction and self-evaluation in automatic control systems. IEEE Transactions on Education. 46(1). 102–110. 21 indexed citations

5.

Kaburlasos, Vassilis G., et al.. (2002). Intelligent clustering techniques for prediction of sugar production. Mathematics and Computers in Simulation. 60(3-5). 159–168. 7 indexed citations

6.

Petridis, V. & S. Kazarlis. (2002). Varying quality function in genetic algorithms and the cutting problem. 166–169. 9 indexed citations

7.

Kazarlis, S., Stelios Papadakis, John B. Theocharis, & V. Petridis. (2001). Microgenetic algorithms as generalized hill-climbing operators for GA optimization. IEEE Transactions on Evolutionary Computation. 5(3). 204–217. 96 indexed citations

8.

Petridis, V., S. Kazarlis, & Anastasios G. Bakirtzis. (1998). Varying fitness functions in genetic algorithm constrained optimization: the cutting stock and unit commitment problems. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 28(5). 629–640. 65 indexed citations

9.

Kazarlis, S., et al.. (1996). A genetic algorithm solution to the unit commitment problem. IEEE Transactions on Power Systems. 11(1). 83–92. 890 indexed citations breakdown →

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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