Rakesh Angira

755 total citations
15 papers, 590 citations indexed

About

Rakesh Angira is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Rakesh Angira has authored 15 papers receiving a total of 590 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 7 papers in Control and Systems Engineering and 7 papers in Computational Theory and Mathematics. Recurrent topics in Rakesh Angira's work include Metaheuristic Optimization Algorithms Research (8 papers), Advanced Control Systems Optimization (7 papers) and Advanced Multi-Objective Optimization Algorithms (7 papers). Rakesh Angira is often cited by papers focused on Metaheuristic Optimization Algorithms Research (8 papers), Advanced Control Systems Optimization (7 papers) and Advanced Multi-Objective Optimization Algorithms (7 papers). Rakesh Angira collaborates with scholars based in India. Rakesh Angira's co-authors include B. V. Babu and has published in prestigious journals such as Chemical Engineering Science, Environmental Science and Pollution Research and Journal of Molecular Liquids.

In The Last Decade

Rakesh Angira

13 papers receiving 561 citations

Peers

Rakesh Angira
Comparison fields: 5 of 75
  • Control and Systems Engineering 250
  • Artificial Intelligence 234
  • Computational Theory and Mathematics 184
  • Catalysis 107
  • Mechanical Engineering 102
Replace J. Rajesh with:
J. Rajesh India
Calvin Tsay United States
J.W. Ponton United Kingdom
John P. Eason United States
Guido Buzzi‐Ferraris Italy
Fernando V. Lima United States
Yiqing Luo China
R. L. Motard United States
Huanjun Yu China
A.G. Marchetti Switzerland
J. Rajesh India View profile →
Citations per field, relative to Rakesh Angira
Rakesh Angira · 1×
Citations per year, relative to Rakesh Angira
Rakesh Angira · 1×

Countries citing papers authored by Rakesh Angira

Since Specialization
Citations

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

Fields of papers citing papers by Rakesh Angira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rakesh Angira

This figure shows the co-authorship network connecting the top 25 collaborators of Rakesh Angira. A scholar is included among the top collaborators of Rakesh Angira 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 Rakesh Angira. Rakesh Angira is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
# Work Indexed citations
1 0
2 1
3 4
4
A Comparative Study of Differential Evolution Algorithms for Estimation of Kinetic Parameters
1
5 7
6 1
7 2
8 6
9 123
10 236
11 15
12 83
13
Non-dominated Sorting Differential Evolution (NSDE): An Extension of Differential Evolution for Multi- objective Optimization
36
14
Optimization of Non-Linear Chemical Processes using Modified Differential Evolution.
16
15 59

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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