Yashesh Dhebar: h-index, Total Citations, and Citation Map
Yashesh Dhebar's h-index is 9 (9 i10-index, 1,444+ total citations across 17+ publications) according to Google Scholar as of June 2026. Yashesh Dhebar is affiliated with Siemens Digital Industries Software, Michigan State University.
Yashesh Dhebar is a researcher affiliated with Siemens Digital Industries Software, Michigan State University, specializing in Design Space Exploration, Applied Optimization, Evolutionary Computation. Their work has been cited 1,444 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Yashesh Dhebar's Citation Metrics
Bibliometric impact based on 17 indexed publications.
- H-Index
- 9
- i10-Index
- 9
- Total Citations
- 1,444
- Citing Countries
- 68
As of June 2026.
Yashesh Dhebar has an h-index of 9 and 1,444 total citations across 17 publications, with research cited by institutions in 68 countries.
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Nsga-net: neural architecture search using multi-objective genetic algorithm
2019820
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Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Yashesh Dhebar's research
Yashesh Dhebar is a researcher in Design Space Exploration, Applied Optimization and Evolutionary Computation at Siemens Digital Industries Software, Michigan State University. Their work has been cited 1,444 times across 17 publications (h-index 9), according to Google Scholar.
Their most-cited work, “Nsga-net: neural architecture search using multi-objective genetic algorithm” (2019), has accumulated 820 citations. Other influential works include “Multiobjective evolutionary design of deep convolutional neural networks for image classification” (2020) with 240 citations and “Generating well-spaced points on a unit simplex for evolutionary many-objective optimization” (2020) with 151 citations.
Citations of Yashesh Dhebar's research come primarily from China, United States and United Kingdom, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
