Vinayak Sharma
- Electrical and Electronic Engineering
- Artificial Intelligence top 10%
- Renewable Energy, Sustainability and the Environment
- Radiology, Nuclear Medicine and Imaging
- Control and Systems Engineering
- Co-authors
- Ümit CaliMurat KuzluÖzgur GülerHarwinder SinghJagdeep SinghK.K. ShuklaSachin Kumar GuptaAndrés Cortés
- Topics
- Energy Load and Power Forecasting (10 papers)Solar Radiation and Photovoltaics (6 papers)Radiomics and Machine Learning in Medical Imaging (2 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessJournal of Petroleum Science and Engineering
- Partner nations
- United StatesIndiaNorway
In The Last Decade
Vinayak Sharma
18 papers receiving 306 citations
Peers
Comparison fields: 5 of 72
- Electrical and Electronic Engineering 152
- Artificial Intelligence 114
- Renewable Energy, Sustainability and the Environment 38
- Radiology, Nuclear Medicine and Imaging 36
- Control and Systems Engineering 29
Countries citing papers authored by Vinayak Sharma
This map shows the geographic impact of Vinayak 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 Vinayak Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vinayak Sharma more than expected).
Fields of papers citing papers by Vinayak Sharma
This network shows the impact of papers produced by Vinayak 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 Vinayak Sharma. The network helps show where Vinayak Sharma may publish in the future.
Co-authorship network of co-authors of Vinayak Sharma
This figure shows the co-authorship network connecting the top 25 collaborators of Vinayak Sharma. A scholar is included among the top collaborators of Vinayak 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 Vinayak Sharma. Vinayak 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 | 0 | |
| 2 | 0 | |
| 3 | 8 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 34 | |
| 7 | 4 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 13 | |
| 11 | 22 | |
| 12 | 1 | |
| 13 | 3 | |
| 14 | 139 | |
| 15 | 1 | |
| 16 | 44 | |
| 17 | Deterministic and Probabilistic Forecasting for Wind and Solar Power Using Advance Data Analytics and Machine Learning Techniques | 1 |
| 18 | 2 | |
| 19 | 13 | |
| 20 | 33 |
About Vinayak Sharma
Vinayak Sharma is a scholar working on Medical Laboratory Technology, Artificial Intelligence and Software, having authored 21 papers that have together received 323 indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (10 papers), Solar Radiation and Photovoltaics (6 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). The work is most often cited by research in Medical Laboratory Technology (9 citations), Artificial Intelligence (114 citations) and Health Informatics (4 citations). Vinayak Sharma has collaborated with scholars based in United States, India and Norway. Frequent co-authors include Ümit Cali, Murat Kuzlu, Özgur Güler, Harwinder Singh, Jagdeep Singh, K.K. Shukla, Sachin Kumar Gupta, Andrés Cortés, Manisa Pipattanasomporn and Veit Hagenmeyer. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Journal of Petroleum Science and Engineering.
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.