Sanjib Mishra
- Nuclear and High Energy Physics top 10%
- Electrical and Electronic Engineering
- Artificial Intelligence
- Astronomy and Astrophysics
- Management Science and Operations Research
- Co-authors
- Sarat Kumar PatraJ. G. MorfínJoseph F. OwensJon PumplinStephen KuhlmannH. WeertsFred OlnessWu-Ki Tung
- Topics
- Energy Load and Power Forecasting (4 papers)Particle physics theoretical and experimental studies (3 papers)Neural Networks and Applications (3 papers)
- Cited by
- Nuclear and High Energy PhysicsManagement Science and Operations ResearchAstronomy and Astrophysics
- Journals
- Reviews of Modern PhysicsProgress in Particle and Nuclear PhysicsNuclear Physics B - Proceedings Supplements
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Sanjib Mishra
9 papers receiving 276 citations
Peers
Comparison fields: 5 of 35
- Nuclear and High Energy Physics 237
- Electrical and Electronic Engineering 39
- Artificial Intelligence 25
- Astronomy and Astrophysics 15
- Management Science and Operations Research 14
Countries citing papers authored by Sanjib Mishra
This map shows the geographic impact of Sanjib Mishra'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 Sanjib Mishra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sanjib Mishra more than expected).
Fields of papers citing papers by Sanjib Mishra
This network shows the impact of papers produced by Sanjib Mishra. 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 Sanjib Mishra. The network helps show where Sanjib Mishra may publish in the future.
Co-authorship network of co-authors of Sanjib Mishra
This figure shows the co-authorship network connecting the top 25 collaborators of Sanjib Mishra. A scholar is included among the top collaborators of Sanjib Mishra 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 Sanjib Mishra. Sanjib Mishra 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 | 1 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 28 | |
| 6 | Short Term Load Forecasting using Neural Network trained with Genetic Algorithm | 1 |
| 7 | 9 | |
| 8 | 10 | |
| 9 | 235 | |
| 10 | 1 |
About Sanjib Mishra
Sanjib Mishra is a scholar working on Nuclear and High Energy Physics, Artificial Intelligence and Electrical and Electronic Engineering, having authored 10 papers that have together received 288 indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (4 papers), Particle physics theoretical and experimental studies (3 papers) and Neural Networks and Applications (3 papers). The work is most often cited by research in Nuclear and High Energy Physics (237 citations), Management Science and Operations Research (14 citations) and Astronomy and Astrophysics (15 citations). Sanjib Mishra has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Sarat Kumar Patra, J. G. Morfín, Joseph F. Owens, Jon Pumplin, Stephen Kuhlmann, H. Weerts, Fred Olness, Wu-Ki Tung, J. Whitmore and R. Brock. Their work appears in journals such as Reviews of Modern Physics, Progress in Particle and Nuclear Physics and Nuclear Physics B - Proceedings Supplements.
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.