Abhijit Mandal
- Statistics and Probability top 5%
- Surgery
- Control and Systems Engineering
- Statistics, Probability and Uncertainty top 5%
- Emergency Medical Services top 10%
- Co-authors
- Leandro PardoAyanendranath BasuNirian MartínK RaghuAbhik GhoshAnirban DasRames C. PandaV. Vijayan
- Topics
- Advanced Statistical Methods and Models (20 papers)Statistical Methods and Inference (12 papers)Advanced Statistical Process Monitoring (9 papers)
- Cited by
- Statistics and ProbabilityStatistics, Probability and UncertaintyEmergency Medical Services
- Journals
- SHILAP Revista de lepidopterologíaJournal of the Royal Statistical Society Series A (Statistics in Society)Applied Biochemistry and Biotechnology
- Partner nations
- IndiaUnited StatesSpain
In The Last Decade
Abhijit Mandal
42 papers receiving 388 citations
Peers
Comparison fields: 5 of 110
- Statistics and Probability 131
- Surgery 49
- Control and Systems Engineering 44
- Statistics, Probability and Uncertainty 40
- Emergency Medical Services 31
Countries citing papers authored by Abhijit Mandal
This map shows the geographic impact of Abhijit Mandal'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 Abhijit Mandal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abhijit Mandal more than expected).
Fields of papers citing papers by Abhijit Mandal
This network shows the impact of papers produced by Abhijit Mandal. 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 Abhijit Mandal. The network helps show where Abhijit Mandal may publish in the future.
Co-authorship network of co-authors of Abhijit Mandal
This figure shows the co-authorship network connecting the top 25 collaborators of Abhijit Mandal. A scholar is included among the top collaborators of Abhijit Mandal 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 Abhijit Mandal. Abhijit Mandal 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 | 0 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 2 | |
| 6 | 5 | |
| 7 | 36 | |
| 8 | 1 | |
| 9 | 40 | |
| 10 | 10 | |
| 11 | 15 | |
| 12 | 25 | |
| 13 | 34 | |
| 14 | 1 | |
| 15 | 25 | |
| 16 | 18 | |
| 17 | 28 | |
| 18 | 35 | |
| 19 | 7 | |
| 20 | Minimum hellinger distance estimation with inlier modification | 3 |
About Abhijit Mandal
Abhijit Mandal is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and General Decision Sciences, having authored 50 papers that have together received 401 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (20 papers), Statistical Methods and Inference (12 papers) and Advanced Statistical Process Monitoring (9 papers). The work is most often cited by research in Statistics and Probability (131 citations), Statistics, Probability and Uncertainty (40 citations) and Emergency Medical Services (31 citations). Abhijit Mandal has collaborated with scholars based in India, United States and Spain. Frequent co-authors include Leandro Pardo, Ayanendranath Basu, Nirian Martín, K Raghu, Abhik Ghosh, Anirban Das, Rames C. Panda, V. Vijayan, Andrzej Cichocki and Anirban Mondal. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the Royal Statistical Society Series A (Statistics in Society) and Applied Biochemistry and Biotechnology.
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.