Vishal Sharma
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering
- Renewable Energy, Sustainability and the Environment
- Management Science and Operations Research top 10%
- Information Systems
- Co-authors
- Dazhi YangW. WalshThomas ReindlDipti SrinivasanCurtis DyresonLu ZhaoZhen YeLi Hong Idris Lim
- Topics
- Energy Load and Power Forecasting (3 papers)Data Management and Algorithms (3 papers)Big Data and Business Intelligence (2 papers)
- Cited by
- Renewable Energy, Sustainability and the EnvironmentArtificial IntelligenceHealth Informatics
- Partner nations
- United StatesSingaporeIndia
In The Last Decade
Vishal Sharma
22 papers receiving 406 citations
Peers
Comparison fields: 5 of 82
- Artificial Intelligence 229
- Electrical and Electronic Engineering 226
- Renewable Energy, Sustainability and the Environment 116
- Management Science and Operations Research 68
- Information Systems 32
Countries citing papers authored by Vishal Sharma
This map shows the geographic impact of Vishal 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 Vishal Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vishal Sharma more than expected).
Fields of papers citing papers by Vishal Sharma
This network shows the impact of papers produced by Vishal 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 Vishal Sharma. The network helps show where Vishal Sharma may publish in the future.
Co-authorship network of co-authors of Vishal Sharma
This figure shows the co-authorship network connecting the top 25 collaborators of Vishal Sharma. A scholar is included among the top collaborators of Vishal 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 Vishal Sharma. Vishal 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 | 5 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 4 | |
| 8 | 7 | |
| 9 | 17 | |
| 10 | 12 | |
| 11 | 1 | |
| 12 | 143 | |
| 13 | 116 | |
| 14 | 1 | |
| 15 | 36 | |
| 16 | 1 | |
| 17 | 1 | |
| 18 | Distance Weight Parity Optimization of Association Rule Mining With Genetic Algorithm | 1 |
| 19 | 13 | |
| 20 | 5 |
About Vishal Sharma
Vishal Sharma is a scholar working on Health Informatics, Business and International Management and Management Science and Operations Research, having authored 25 papers that have together received 412 indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (3 papers), Data Management and Algorithms (3 papers) and Big Data and Business Intelligence (2 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (116 citations), Artificial Intelligence (229 citations) and Health Informatics (8 citations). Vishal Sharma has collaborated with scholars based in United States, Singapore and India. Frequent co-authors include Dazhi Yang, W. Walsh, Thomas Reindl, Dipti Srinivasan, Curtis Dyreson, Lu Zhao, Zhen Ye, Li Hong Idris Lim, Mahesh Bundele and Monika Sharma. Their work appears in journals such as Energy, Renewable Energy and Engineering Applications of Artificial Intelligence.
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.