Neeraj Misra
- Statistics and Probability top 0.5%
- Statistics, Probability and Uncertainty top 0.5%
- Safety, Risk, Reliability and Quality top 1%
- Artificial Intelligence top 5%
- Management Science and Operations Research top 5%
- Co-authors
- Harshinder SinghEdward C. van der MeulenNitin GuptaAmit MisraEugene DemchukHiriyakkanavar IlaV. HnizdoAsok K. Nanda
- Topics
- Statistical Distribution Estimation and Applications (57 papers)Advanced Statistical Methods and Models (28 papers)Statistical Methods and Bayesian Inference (27 papers)
- Cited by
- Statistics and ProbabilityStatistics, Probability and UncertaintySafety, Risk, Reliability and Quality
- Journals
- European Journal of Operational ResearchThe Journal of Organic ChemistryJournal of Computational and Applied Mathematics
- Partner nations
- IndiaUnited StatesBelgium
In The Last Decade
Neeraj Misra
83 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 87
- Statistics and Probability 967
- Statistics, Probability and Uncertainty 461
- Safety, Risk, Reliability and Quality 355
- Artificial Intelligence 223
- Management Science and Operations Research 169
Countries citing papers authored by Neeraj Misra
This map shows the geographic impact of Neeraj Misra'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 Neeraj Misra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neeraj Misra more than expected).
Fields of papers citing papers by Neeraj Misra
This network shows the impact of papers produced by Neeraj Misra. 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 Neeraj Misra. The network helps show where Neeraj Misra may publish in the future.
Co-authorship network of co-authors of Neeraj Misra
This figure shows the co-authorship network connecting the top 25 collaborators of Neeraj Misra. A scholar is included among the top collaborators of Neeraj Misra 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 Neeraj Misra. Neeraj Misra 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 | 7 | |
| 3 | 17 | |
| 4 | 27 | |
| 5 | 11 | |
| 6 | 1 | |
| 7 | 19 | |
| 8 | 18 | |
| 9 | 5 | |
| 10 | 22 | |
| 11 | 36 | |
| 12 | 13 | |
| 13 | 12 | |
| 14 | 4 | |
| 15 | 12 | |
| 16 | 11 | |
| 17 | 1 | |
| 18 | 78 | |
| 19 | 10 | |
| 20 | 1 |
About Neeraj Misra
Neeraj Misra is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Software, having authored 90 papers that have together received 1.3k indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (57 papers), Advanced Statistical Methods and Models (28 papers) and Statistical Methods and Bayesian Inference (27 papers). The work is most often cited by research in Statistics and Probability (967 citations), Statistics, Probability and Uncertainty (461 citations) and Safety, Risk, Reliability and Quality (355 citations). Neeraj Misra has collaborated with scholars based in India, United States and Belgium. Frequent co-authors include Harshinder Singh, Edward C. van der Meulen, Nitin Gupta, Amit Misra, Eugene Demchuk, Hiriyakkanavar Ila, V. Hnizdo, Asok K. Nanda, Adam Fedorowicz and Mohd. Arshad. Their work appears in journals such as European Journal of Operational Research, The Journal of Organic Chemistry and Journal of Computational and Applied Mathematics.
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.