Himanshu Sharma
- Environmental Engineering top 10%
- Building and Construction top 10%
- Computational Mechanics
- Statistical and Nonlinear Physics top 10%
- Electrical and Electronic Engineering
- Co-authors
- Elise JenningsVeronica AdetolaBethany LuschRomit MaulikBaskar GanapathysubramanianUmesh VaidyaMohd AshrafSaptarshi Bhattacharya
- Topics
- Building Energy and Comfort Optimization (7 papers)Wind and Air Flow Studies (6 papers)Probabilistic and Robust Engineering Design (5 papers)
- Partner nations
- United StatesIndiaCzechia
In The Last Decade
Himanshu Sharma
33 papers receiving 299 citations
Peers
Comparison fields: 5 of 73
- Environmental Engineering 71
- Building and Construction 67
- Computational Mechanics 55
- Statistical and Nonlinear Physics 53
- Electrical and Electronic Engineering 52
Countries citing papers authored by Himanshu Sharma
This map shows the geographic impact of Himanshu Sharma'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 Himanshu Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Himanshu Sharma more than expected).
Fields of papers citing papers by Himanshu Sharma
This network shows the impact of papers produced by Himanshu Sharma. 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 Himanshu Sharma. The network helps show where Himanshu Sharma may publish in the future.
Co-authorship network of co-authors of Himanshu Sharma
This figure shows the co-authorship network connecting the top 25 collaborators of Himanshu Sharma. A scholar is included among the top collaborators of Himanshu Sharma 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 Himanshu Sharma. Himanshu Sharma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 16 | |
| 3 | 24 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 7 | |
| 7 | 0 | |
| 8 | 7 | |
| 9 | 10 | |
| 10 | 6 | |
| 11 | 17 | |
| 12 | 19 | |
| 13 | 3 | |
| 14 | 61 | |
| 15 | Accelerating RANS turbulence modeling using potential flow and machine learning | 9 |
| 16 | Accelerating RANS simulations using a data-driven framework for eddy-viscosity emulation | 2 |
| 17 | 21 | |
| 18 | 6 | |
| 19 | 5 | |
| 20 | The physiography of the Lower Chambal Valley and its agricultural development : a study in applied geomorphology | 16 |
About Himanshu Sharma
Himanshu Sharma is a scholar working on Statistics, Probability and Uncertainty, Environmental Engineering and Building and Construction, having authored 39 papers that have together received 323 indexed citations. Recurring topics across this work include Building Energy and Comfort Optimization (7 papers), Wind and Air Flow Studies (6 papers) and Probabilistic and Robust Engineering Design (5 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (45 citations), Building and Construction (67 citations) and Environmental Engineering (71 citations). Himanshu Sharma has collaborated with scholars based in United States, India and Czechia. Frequent co-authors include Elise Jennings, Veronica Adetola, Bethany Lusch, Romit Maulik, Baskar Ganapathysubramanian, Umesh Vaidya, Mohd Ashraf, Saptarshi Bhattacharya, Michael D. Shields and Sen Huang. Their work appears in journals such as Scientific Reports, Journal of Computational Physics and Energy and Buildings.
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.