C. Patvardhan

71 papers receiving 827 citations

Peers

C. Patvardhan
Comparison fields: 5 of 88
  • Industrial and Manufacturing Engineering 91
  • Energy Engineering and Power Technology 26
  • Media Technology 71
  • Computer Vision and Pattern Recognition 159
  • Computational Theory and Mathematics 115
Replace P. Subbaraj with:
P. Subbaraj India
Ahmed Ali Abdalla Esmin Brazil
Baoqun Yin China
Tengfei Zhang China
Shahram Mohanna Iran
Omar Ávalos Mexico
Jorge Navarro‐Ortiz Spain
Guo Zhou China
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Citations per field
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Citations per year

Countries citing papers authored by C. Patvardhan

Since Specialization
Citations

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

Fields of papers citing papers by C. Patvardhan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside C. Patvardhan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with C. Patvardhan Line = papers co-authored together C. Patvardhan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998147
2 200073
3 200764
4 200356
5 201750
6 199947
7 200236
8 200929
9 200424
10 201022
11 201621
12 201520
13 200319
14 201619
15 201515
16 199514
17 201614
18 201912
19 201612
20 201012

About C. Patvardhan

C. Patvardhan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Industrial and Manufacturing Engineering and Computational Theory and Mathematics, having authored 75 papers that have together received 916 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (14 papers), Optimization and Packing Problems (10 papers), Electric Power System Optimization (10 papers), Optimal Power Flow Distribution (10 papers), Quantum Computing Algorithms and Architecture (9 papers), Evolutionary Algorithms and Applications (7 papers), Handwritten Text Recognition Techniques (7 papers) and Optimization and Search Problems (6 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (91 citations), Energy Engineering and Power Technology (26 citations), Media Technology (71 citations), Computer Vision and Pattern Recognition (159 citations) and Computational Theory and Mathematics (115 citations). C. Patvardhan has collaborated with scholars based in India, Germany and United States. Frequent co-authors include D. Bhagwan Das, C. Vasantha Lakshmi, Ashish Mani, Rahul Swarup Sharma, Sanjay Srivastava, A. Srivastav, Anand Srivastav, Aditi Verma, V.C. Prasad and Apurva Narayan. Their work appears in journals such as IEEE Transactions on Reliability, Engineering Applications of Artificial Intelligence, International Journal of Electrical Power & Energy Systems, Soft Computing and Swarm and Evolutionary Computation.

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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