Pradeep Mishra
- Plant Science top 10%
- General Agricultural and Biological Sciences top 1%
- Management Science and Operations Research top 5%
- Economics and Econometrics top 10%
- Electrical and Electronic Engineering
- Co-authors
- Soumitra Sankar DasSoumik RayMostafa AbotalebP. K. SahuAchal LamaBishal GurungTufleuddin BiswasKadir Karakaya
- Topics
- Agricultural Economics and Practices (47 papers)Spectroscopy and Chemometric Analyses (12 papers)Forecasting Techniques and Applications (10 papers)
- Cited by
- General Agricultural and Biological SciencesManagement Science and Operations ResearchAnalytical Chemistry
- Journals
- SHILAP Revista de lepidopterologíaJournal of Environmental ManagementPhysics Letters A
In The Last Decade
Pradeep Mishra
98 papers receiving 930 citations
Peers
Comparison fields: 5 of 130
- Plant Science 210
- General Agricultural and Biological Sciences 201
- Management Science and Operations Research 152
- Economics and Econometrics 136
- Electrical and Electronic Engineering 117
Countries citing papers authored by Pradeep Mishra
This map shows the geographic impact of Pradeep 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 Pradeep Mishra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pradeep Mishra more than expected).
Fields of papers citing papers by Pradeep Mishra
This network shows the impact of papers produced by Pradeep 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 Pradeep Mishra. The network helps show where Pradeep Mishra may publish in the future.
Co-authorship network of co-authors of Pradeep Mishra
This figure shows the co-authorship network connecting the top 25 collaborators of Pradeep Mishra. A scholar is included among the top collaborators of Pradeep 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 Pradeep Mishra. Pradeep 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 | 1 | |
| 2 | 4 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 5 | |
| 7 | 7 | |
| 8 | 0 | |
| 9 | 11 | |
| 10 | 14 | |
| 11 | 7 | |
| 12 | 66 | |
| 13 | 0 | |
| 14 | 1 | |
| 15 | 5 | |
| 16 | 12 | |
| 17 | 4 | |
| 18 | 33 | |
| 19 | Machine learning-based Covid-19 forecasting: Impact on Pakistan stock exchange | 2 |
| 20 | 20 |
About Pradeep Mishra
Pradeep Mishra is a scholar working on General Agricultural and Biological Sciences, Management Science and Operations Research and Analytical Chemistry, having authored 115 papers that have together received 962 indexed citations. Recurring topics across this work include Agricultural Economics and Practices (47 papers), Spectroscopy and Chemometric Analyses (12 papers) and Forecasting Techniques and Applications (10 papers). The work is most often cited by research in General Agricultural and Biological Sciences (201 citations), Management Science and Operations Research (152 citations) and Analytical Chemistry (91 citations). Pradeep Mishra has collaborated with scholars based in India, Russia and Syria. Frequent co-authors include Soumitra Sankar Das, Soumik Ray, Mostafa Abotaleb, P. K. Sahu, Achal Lama, Bishal Gurung, Tufleuddin Biswas, Kadir Karakaya, Hicham Ayad and Alina Cristina Nuţă. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Environmental Management and Physics Letters A.
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.