Ганеш Какандикар
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- Manufacturing Process and Optimization 6
- Mechanical Engineering top 10%
- Metal Forming Simulation Techniques 18
- Artificial Intelligence top 10%
- Metaheuristic Optimization Algorithms Research 6
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- Additive Manufacturing and 3D Printing Technologies 4
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- Advanced Multi-Objective Optimization Algorithms 4
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- Metallurgy and Material Forming 16
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- Laser and Thermal Forming Techniques 7
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- Advanced Machining and Optimization Techniques 4
- Journals
- SHILAP Revista de lepidopterología (1 paper)Materials and Manufacturing Processes (1 paper)Materials Today Proceedings (5 papers)
In The Last Decade
Ганеш Какандикар
34 papers receiving 515 citations
Peers
Comparison fields: 5 of 92
- Industrial and Manufacturing Engineering 61
- Mechanical Engineering 183
- Artificial Intelligence 124
- Automotive Engineering 45
- Computational Theory and Mathematics 55
Countries citing papers authored by Ганеш Какандикар
This map shows the geographic impact of Ганеш Какандикар'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 Ганеш Какандикар with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ганеш Какандикар more than expected).
Fields of papers citing papers by Ганеш Какандикар
This network shows the impact of papers produced by Ганеш Какандикар. 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 Ганеш Какандикар. The network helps show where Ганеш Какандикар may publish in the future.
Co-authorship network
The 6 scholars most cited alongside Ганеш Какандикар, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 0 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 8 | |
| 4 | 2022 | 3 | |
| 5 | 2022 | 7 | |
| 6 | 2022 | 2 | |
| 7 | 2021 | 3 | |
| 8 | 2020 | 3 | |
| 9 | 2020 | 1 | |
| 10 | 2020 | 3 | |
| 11 | 2020 | 2 | |
| 12 | 2019 | 8 | |
| 13 | 2017 | 33 | |
| 14 | Sheet Metal Forming Optimization: Bioinspired Approaches | 2017 | 2 |
| 15 | 2017 | 2 | |
| 16 | 2016 | 28 | |
| 17 | 2015 | 6 | |
| 18 | 2015 | 109 | |
| 19 | 2015 | 9 | |
| 20 | 2013 | 1 |
About Ганеш Какандикар
Ганеш Какандикар is a scholar working on Industrial and Manufacturing Engineering, Mechanics of Materials and Mechanical Engineering, having authored 36 papers that have together received 534 indexed citations. Recurring topics across this work include Metal Forming Simulation Techniques (18 papers), Metallurgy and Material Forming (16 papers), Laser and Thermal Forming Techniques (7 papers), Manufacturing Process and Optimization (6 papers), Metaheuristic Optimization Algorithms Research (6 papers), Advanced Multi-Objective Optimization Algorithms (4 papers), Advanced Machining and Optimization Techniques (4 papers) and Additive Manufacturing and 3D Printing Technologies (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (61 citations), Mechanical Engineering (183 citations) and Artificial Intelligence (124 citations). Ганеш Какандикар has collaborated with scholars based in India, Nepal and Canada. Frequent co-authors include Vilas M. Nandedkar, Омкар Кулкарни, Anand J. Kulkarni, Atul Kulkarni, D. G. Thakur and Sanket Patel. Their work appears in journals such as SHILAP Revista de lepidopterología, Materials and Manufacturing Processes and Materials Today Proceedings.
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.