Ranjeeta Bisoi
- Electrical and Electronic Engineering top 5%
- Artificial Intelligence top 2%
- Management Science and Operations Research top 1%
- Control and Systems Engineering top 5%
- Economics and Econometrics top 5%
- Co-authors
- P.K. DashJyotirmayee NaikRajashree DashAjaya Kumar ParidaIrani MajumderPramod K. DashSthita Prajna MishraSujit Kumar Dash
- Topics
- Energy Load and Power Forecasting (31 papers)Machine Learning and ELM (24 papers)Stock Market Forecasting Methods (16 papers)
- Cited by
- Management Science and Operations ResearchEnergy Engineering and Power TechnologyArtificial Intelligence
- Journals
- SHILAP Revista de lepidopterologíaApplied EnergyExpert Systems with Applications
In The Last Decade
Ranjeeta Bisoi
66 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 94
- Electrical and Electronic Engineering 688
- Artificial Intelligence 531
- Management Science and Operations Research 437
- Control and Systems Engineering 219
- Economics and Econometrics 184
Countries citing papers authored by Ranjeeta Bisoi
This map shows the geographic impact of Ranjeeta Bisoi'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 Ranjeeta Bisoi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ranjeeta Bisoi more than expected).
Fields of papers citing papers by Ranjeeta Bisoi
This network shows the impact of papers produced by Ranjeeta Bisoi. 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 Ranjeeta Bisoi. The network helps show where Ranjeeta Bisoi may publish in the future.
Co-authorship network of co-authors of Ranjeeta Bisoi
This figure shows the co-authorship network connecting the top 25 collaborators of Ranjeeta Bisoi. A scholar is included among the top collaborators of Ranjeeta Bisoi 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 Ranjeeta Bisoi. Ranjeeta Bisoi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 10 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 25 | |
| 9 | 24 | |
| 10 | 1 | |
| 11 | 20 | |
| 12 | 2 | |
| 13 | 3 | |
| 14 | 7 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 95 | |
| 18 | 2 | |
| 19 | 8 | |
| 20 | 22 |
About Ranjeeta Bisoi
Ranjeeta Bisoi is a scholar working on Management Science and Operations Research, Energy Engineering and Power Technology and Artificial Intelligence, having authored 70 papers that have together received 1.3k indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (31 papers), Machine Learning and ELM (24 papers) and Stock Market Forecasting Methods (16 papers). The work is most often cited by research in Management Science and Operations Research (437 citations), Energy Engineering and Power Technology (53 citations) and Artificial Intelligence (531 citations). Ranjeeta Bisoi has collaborated with scholars based in India and Malaysia. Frequent co-authors include P.K. Dash, Jyotirmayee Naik, Rajashree Dash, Ajaya Kumar Parida, Irani Majumder, Pramod K. Dash, Sthita Prajna Mishra, Sujit Kumar Dash, H. S. Behera and Birendra Biswal. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Energy and Expert Systems with Applications.
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.