Kumara Sastry

3.9k citations
67 papers · 1.7k indexed · h-index 25
Topics
Metaheuristic Optimization Algorithms Research (42 papers)Evolutionary Algorithms and Applications (38 papers)Advanced Multi-Objective Optimization Algorithms (20 papers)

In The Last Decade

Kumara Sastry

66 papers receiving 1.6k citations

Peers

Kumara Sastry
Comparison fields: 5 of 99
  • Artificial Intelligence 1.2k
  • Computational Theory and Mathematics 525
  • Molecular Biology 147
  • Control and Systems Engineering 117
  • Information Systems 103
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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
#WorkIndexed citations
1 5
2 23
3 17
4 3
5 43
6 18
7 38
8
Scalable optimization via probabilistic modeling : from algorithms to applications
87
9
Scalable Optimization via Probabilistic Modeling: From Algorithms to Applications (Studies in Computational Intelligence)
70
10 24
11 9
12
Fitness inheritance in multi-objective optimization
42
13
Genetic Algorithms, Efficiency Enhancement, And Deciding Well With Differing Fitness Variances
3
14 70
15
Analysis of Mixing in Genetic Algorithms: A Survey
8
16
On the supply of building blocks
37
17
Bayesian optimization algorithm, decision graphs, and Occam's razor
35
18
Don't evaluate, inherit
59
19 19
20 26

About Kumara Sastry

Kumara Sastry is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Statistics and Probability, having authored 67 papers that have together received 1.7k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (42 papers), Evolutionary Algorithms and Applications (38 papers) and Advanced Multi-Objective Optimization Algorithms (20 papers). The work is most often cited by research in Artificial Intelligence (1.2k citations), Computational Theory and Mathematics (525 citations) and Industrial and Manufacturing Engineering (78 citations). Kumara Sastry has collaborated with scholars based in United States, Portugal and Spain. Frequent 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 Albert Orriols-Puig. Their work appears in journals such as Physical Review B, IEEE Transactions on Evolutionary Computation and Computers & Chemical Engineering.

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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