Madana Srinivas

12 papers receiving 1.7k citations

Hit Papers

Adaptive probabilities of crossover and mutation in genet...1994202620042015199450010001.5k

Peers

Madana Srinivas
Comparison fields: 5 of 132
  • Artificial Intelligence 685
  • Electrical and Electronic Engineering 349
  • Control and Systems Engineering 328
  • Computational Theory and Mathematics 246
  • Computer Networks and Communications 234
Replace Xingshi He with:
Xingshi He China
Dongshu Wang China
Ali Reza Mehrabian Canada
Xiangbing Zhou China
E. Damangir Iran
Julien Lepagnot France
Adam Słowik Poland
Krzysztof Socha Belgium
Ilhem Boussaïd Algeria
Madana Srinivas relative to Xingshi He China Xingshi He's profile →
Citations per field
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Citations per year

Countries citing papers authored by Madana Srinivas

Since Specialization
Citations

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

Fields of papers citing papers by Madana Srinivas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Madana Srinivas

This figure shows the co-authorship network connecting the top 25 collaborators of Madana Srinivas. A scholar is included among the top collaborators of Madana Srinivas 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 Madana Srinivas. Madana Srinivas 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
#WorkIndexed citations
1 8
2 6
3 3
4 12
5 17
6 8
7 0
8 0
9 0
10 3
11 8
12 17
13 4
14
Adaptive probabilities of crossover and mutation in genetic algorithmsbreakdown →
1780
15 2

About Madana Srinivas

Madana Srinivas is a scholar working on Hardware and Architecture, Computer Networks and Communications and Electrical and Electronic Engineering, having authored 15 papers that have together received 1.9k indexed citations. Recurring topics across this work include VLSI and Analog Circuit Testing (6 papers), Radiation Effects in Electronics (6 papers) and Energy Harvesting in Wireless Networks (5 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (224 citations), Artificial Intelligence (685 citations) and Computational Theory and Mathematics (246 citations). Madana Srinivas has collaborated with scholars based in India and United States. Frequent co-authors include L.M. Patnaik, Tarachand Amgoth, Praveen Kumar Donta, L.M. Patnaik, Vishwani D. Agrawal, J. Jacob, M.L. Bushnell and Pragati Kumar. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) and IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

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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