Pradeepta Kumar Sarangi
- Management Science and Operations Research top 5%
- Artificial Intelligence
- Computer Vision and Pattern Recognition top 10%
- Electrical and Electronic Engineering
- Economics and Econometrics
- Co-authors
- Deepak KumarAshok Kumar SahooSunny SinghPramod Kumar SinghPervez AhmedNanhay SinghDevendra PrasadRaghuraj Singh
- Topics
- Stock Market Forecasting Methods (19 papers)Forecasting Techniques and Applications (11 papers)Artificial Intelligence in Healthcare (9 papers)
- Cited by
- Management Science and Operations ResearchHealth Information ManagementComputer Vision and Pattern Recognition
- Partner nations
- IndiaNepalUnited States
In The Last Decade
Pradeepta Kumar Sarangi
52 papers receiving 359 citations
Peers
Comparison fields: 5 of 77
- Management Science and Operations Research 160
- Artificial Intelligence 91
- Computer Vision and Pattern Recognition 76
- Electrical and Electronic Engineering 76
- Economics and Econometrics 57
Countries citing papers authored by Pradeepta Kumar Sarangi
This map shows the geographic impact of Pradeepta Kumar Sarangi'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 Pradeepta Kumar Sarangi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pradeepta Kumar Sarangi more than expected).
Fields of papers citing papers by Pradeepta Kumar Sarangi
This network shows the impact of papers produced by Pradeepta Kumar Sarangi. 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 Pradeepta Kumar Sarangi. The network helps show where Pradeepta Kumar Sarangi may publish in the future.
Co-authorship network of co-authors of Pradeepta Kumar Sarangi
This figure shows the co-authorship network connecting the top 25 collaborators of Pradeepta Kumar Sarangi. A scholar is included among the top collaborators of Pradeepta Kumar Sarangi 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 Pradeepta Kumar Sarangi. Pradeepta Kumar Sarangi 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 | 6 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 0 | |
| 10 | 11 | |
| 11 | 2 | |
| 12 | 5 | |
| 13 | 5 | |
| 14 | 3 | |
| 15 | 6 | |
| 16 | 2 | |
| 17 | 2 | |
| 18 | 9 | |
| 19 | Load Forecasting Using Artificial Neural Network: Performance Evaluation with Different Numbers of Hidden Neurons | 6 |
| 20 | Short-Term Load Forecasting Using Neural Network Technology | 5 |
About Pradeepta Kumar Sarangi
Pradeepta Kumar Sarangi is a scholar working on Health Information Management, Management Science and Operations Research and Computer Vision and Pattern Recognition, having authored 73 papers that have together received 399 indexed citations. Recurring topics across this work include Stock Market Forecasting Methods (19 papers), Forecasting Techniques and Applications (11 papers) and Artificial Intelligence in Healthcare (9 papers). The work is most often cited by research in Management Science and Operations Research (160 citations), Health Information Management (21 citations) and Computer Vision and Pattern Recognition (76 citations). Pradeepta Kumar Sarangi has collaborated with scholars based in India, Nepal and United States. Frequent co-authors include Deepak Kumar, Ashok Kumar Sahoo, Sunny Singh, Pramod Kumar Singh, Pervez Ahmed, Nanhay Singh, Devendra Prasad, Raghuraj Singh, Ritu Chauhan and Gurpreet Singh. Their work appears in journals such as Materials Today Proceedings, Macromolecular Symposia and Indian Journal of Science and Technology.
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.