Anand J. Kulkarni

2.2k citations
81 papers · 1.1k indexed · h-index 17

Anand J. Kulkarni

70 papers receiving 1.1k citations

Peers

Anand J. Kulkarni
Comparison fields: 5 of 100
  • Computational Theory and Mathematics 348
  • Artificial Intelligence 642
  • Industrial and Manufacturing Engineering 165
  • Computer Vision and Pattern Recognition 158
  • Control and Systems Engineering 150
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Countries citing papers authored by Anand J. Kulkarni

Since Specialization
Citations

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

Fields of papers citing papers by Anand J. Kulkarni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anand J. Kulkarni. 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 Anand J. Kulkarni. The network helps show where Anand J. Kulkarni may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Anand J. Kulkarni, 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 Anand J. Kulkarni Line = papers co-authored together Anand J. Kulkarni links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
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5 20241
6 20237
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10 20221
11 20213
12 202111
13 20207
14 202014
15 201911
16 20174
17 201628
18 20119
19 20080
20
The Design of the Spindle of the Cylindrical Grinding Machine through Neural Networks and Genetic Algorithm.
20050

About Anand J. Kulkarni

Anand J. Kulkarni is a scholar working on Computational Theory and Mathematics, Industrial and Manufacturing Engineering and Artificial Intelligence, having authored 81 papers that have together received 1.1k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (25 papers), Evolutionary Algorithms and Applications (18 papers), Advanced Multi-Objective Optimization Algorithms (16 papers), Constraint Satisfaction and Optimization (5 papers), Manufacturing Process and Optimization (4 papers), Advanced Steganography and Watermarking Techniques (4 papers), Advanced Clustering Algorithms Research (4 papers) and Optimization and Mathematical Programming (4 papers). The work is most often cited by research in Computational Theory and Mathematics (348 citations), Artificial Intelligence (642 citations) and Industrial and Manufacturing Engineering (165 citations). Anand J. Kulkarni has collaborated with scholars based in India, Canada and Singapore. Frequent co-authors include Suresh Chandra Satapathy, Kang Tai, Ajith Abraham, Raveendran Paramesran, Ishan Durugkar, Mrinal Kumar, Pritesh Shah, Fazle Baki, Joon Huang Chuah and Ben A. Chaouch. Their work appears in journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and Journal of Hepatology.

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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