Kumara Sastry

3.9k total citations
67 papers, 1.7k citations indexed

About

Kumara Sastry is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, Kumara Sastry has authored 67 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Artificial Intelligence, 20 papers in Computational Theory and Mathematics and 8 papers in Molecular Biology. Recurrent topics in Kumara Sastry's work include Metaheuristic Optimization Algorithms Research (42 papers), Evolutionary Algorithms and Applications (38 papers) and Advanced Multi-Objective Optimization Algorithms (20 papers). Kumara Sastry is often cited by papers focused on Metaheuristic Optimization Algorithms Research (42 papers), Evolutionary Algorithms and Applications (38 papers) and Advanced Multi-Objective Optimization Algorithms (20 papers). Kumara Sastry collaborates with scholars based in United States, Portugal and Spain. Kumara Sastry's co-authors include David E. Goldberg, Martin Pelikán, Xavier Llorà, B. V. Babu, Erick Cantú‐Paz, Tian–Li Yu, Mark W. Hauschild, D. D. Johnson, Martin V. Butz and Pier Luca Lanzi and has published in prestigious journals such as Physical Review B, IEEE Transactions on Evolutionary Computation and Computers & Chemical Engineering.

In The Last Decade

Kumara Sastry

66 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kumara Sastry United States 25 1.2k 525 147 117 103 67 1.7k
Lashon B. Booker United States 10 1000 0.8× 356 0.7× 166 1.1× 141 1.2× 72 0.7× 22 1.7k
Brad L. Miller United States 7 786 0.6× 405 0.8× 82 0.6× 85 0.7× 103 1.0× 7 1.5k
Samir W. Mahfoud United States 9 925 0.8× 550 1.0× 69 0.5× 103 0.9× 47 0.5× 10 1.4k
Isao Ono Japan 19 850 0.7× 629 1.2× 150 1.0× 273 2.3× 108 1.0× 103 1.7k
Anne Auger France 15 913 0.7× 600 1.1× 116 0.8× 82 0.7× 36 0.3× 52 1.3k
Jianshe Wu China 22 818 0.7× 677 1.3× 122 0.8× 140 1.2× 67 0.7× 75 1.7k
Cezary Z. Janikow United States 16 1.2k 0.9× 538 1.0× 106 0.7× 244 2.1× 292 2.8× 44 1.9k
Robert Hinterding Australia 10 1.1k 0.9× 684 1.3× 65 0.4× 149 1.3× 49 0.5× 12 1.7k
Jun He China 26 1.4k 1.2× 913 1.7× 99 0.7× 84 0.7× 109 1.1× 110 2.2k
Saku Kukkonen Finland 12 1.0k 0.8× 983 1.9× 43 0.3× 138 1.2× 45 0.4× 21 1.6k

Countries citing papers authored by Kumara Sastry

Since Specialization
Citations

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

Fields of papers citing papers by Kumara Sastry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kumara Sastry

This figure shows the co-authorship network connecting the top 25 collaborators of Kumara Sastry. A scholar is included among the top collaborators of Kumara Sastry 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 Kumara Sastry. Kumara Sastry 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
2.
Sastry, Kumara, D. D. Johnson, Alexis L. Thompson, et al.. (2007). Optimization of Semiempirical Quantum Chemistry Methods via Multiobjective Genetic Algorithms: Accurate Photodynamics for Larger Molecules and Longer Time Scales. Materials and Manufacturing Processes. 22(5). 553–561. 18 indexed citations
3.
Sastry, Kumara & David E. Goldberg. (2007). Let's get ready to rumble redux. 1380–1387. 6 indexed citations
4.
Sastry, Kumara, et al.. (2006). Scalable optimization via probabilistic modeling : from algorithms to applications. Springer eBooks. 87 indexed citations
5.
Pelikán, Martin, Kumara Sastry, & Erick Cantú‐Paz. (2006). Scalable Optimization via Probabilistic Modeling: From Algorithms to Applications (Studies in Computational Intelligence). Springer eBooks. 70 indexed citations
6.
Sastry, Kumara, D. D. Johnson, Alexis L. Thompson, et al.. (2006). Multiobjective genetic algorithms for multiscaling excited state direct dynamics in photochemistry. 1745–1752. 5 indexed citations
7.
Butz, Martin V., David E. Goldberg, Pier Luca Lanzi, & Kumara Sastry. (2006). Problem solution sustenance in XCS: Markov chain analysis of niche support distributions and the impact on computational complexity. Genetic Programming and Evolvable Machines. 8(1). 5–37. 11 indexed citations
8.
Llorà, Xavier & Kumara Sastry. (2006). Fast rule matching for learning classifier systems via vector instructions. 1513–1520. 24 indexed citations
9.
Llorà, Xavier, Kumara Sastry, & David E. Goldberg. (2005). The Compact Classifier System: Scalability Analysis and First Results. 1. 596–603. 16 indexed citations
10.
Llorà, Xavier, Kumara Sastry, & David E. Goldberg. (2005). Binary rule encoding schemes. 88–89. 2 indexed citations
11.
Sastry, Kumara, D. D. Johnson, David E. Goldberg, & Pascal Bellon. (2004). Genetic Programming for Multiscale Modeling. International Journal for Multiscale Computational Engineering. 2(2). 239–256. 9 indexed citations
12.
Sastry, Kumara, et al.. (2004). Evaluation-Relaxation Schemes for Genetic and Evolutionary Algorithms. 68 indexed citations
13.
Sastry, Kumara & David E. Goldberg. (2002). Genetic Algorithms, Efficiency Enhancement, And Deciding Well With Differing Fitness Variances. Genetic and Evolutionary Computation Conference. 528–535. 3 indexed citations
14.
Goldberg, David E., et al.. (2002). Fitness inheritance in multi-objective optimization. Genetic and Evolutionary Computation Conference. 319–326. 42 indexed citations
15.
Sastry, Kumara & David E. Goldberg. (2002). Analysis of Mixing in Genetic Algorithms: A Survey. 8 indexed citations
16.
Sastry, Kumara, David E. Goldberg, & Martin Pelikán. (2001). Don't evaluate, inherit. Genetic and Evolutionary Computation Conference. 551–558. 59 indexed citations
17.
Pelikán, Martin, David E. Goldberg, & Kumara Sastry. (2001). Bayesian optimization algorithm, decision graphs, and Occam's razor. Genetic and Evolutionary Computation Conference. 519–526. 35 indexed citations
18.
Goldberg, David E., et al.. (2001). On the supply of building blocks. Genetic and Evolutionary Computation Conference. 336–342. 37 indexed citations
19.
Sastry, Kumara & David E. Goldberg. (2001). Modeling tournament selection with replacement using apparent added noise. Genetic and Evolutionary Computation Conference. 13. 781–781. 19 indexed citations
20.
Goldberg, David E. & Kumara Sastry. (2001). A practical schema theorem for genetic algorithm design and tuning. Genetic and Evolutionary Computation Conference. 14(24). 328–335. 26 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026