Arnab Kumar Laha
- Management Science and Operations Research top 10%
- Economics and Econometrics
- Artificial Intelligence
- Computational Theory and Mathematics
- Statistics and Probability top 10%
- Co-authors
- Sayan PutatundaNeeraj MohanGoutam DuttaDebdatta PalAshis SenGuptaSomak DuttaAnand JaiswalAtanu Biswas
- Topics
- Advanced Statistical Methods and Models (7 papers)Statistical Distribution Estimation and Applications (5 papers)Advanced Statistical Process Monitoring (4 papers)
- Cited by
- Management Science and Operations ResearchBusiness and International ManagementStatistics and Probability
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsTransportation Research Part C Emerging Technologies
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Arnab Kumar Laha
30 papers receiving 205 citations
Peers
Comparison fields: 5 of 72
- Management Science and Operations Research 62
- Economics and Econometrics 62
- Artificial Intelligence 51
- Computational Theory and Mathematics 25
- Statistics and Probability 23
Countries citing papers authored by Arnab Kumar Laha
This map shows the geographic impact of Arnab Kumar Laha'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 Arnab Kumar Laha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arnab Kumar Laha more than expected).
Fields of papers citing papers by Arnab Kumar Laha
This network shows the impact of papers produced by Arnab Kumar Laha. 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 Arnab Kumar Laha. The network helps show where Arnab Kumar Laha may publish in the future.
Co-authorship network of co-authors of Arnab Kumar Laha
This figure shows the co-authorship network connecting the top 25 collaborators of Arnab Kumar Laha. A scholar is included among the top collaborators of Arnab Kumar Laha 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 Arnab Kumar Laha. Arnab Kumar Laha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 48 | |
| 9 | 0 | |
| 10 | 4 | |
| 11 | 0 | |
| 12 | 3 | |
| 13 | 4 | |
| 14 | 4 | |
| 15 | 5 | |
| 16 | 8 | |
| 17 | 2 | |
| 18 | 2 | |
| 19 | A Note on Tests of Normality | 1 |
| 20 | 4 |
About Arnab Kumar Laha
Arnab Kumar Laha is a scholar working on Statistics and Probability, Management Science and Operations Research and Statistics, Probability and Uncertainty, having authored 36 papers that have together received 220 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (7 papers), Statistical Distribution Estimation and Applications (5 papers) and Advanced Statistical Process Monitoring (4 papers). The work is most often cited by research in Management Science and Operations Research (62 citations), Business and International Management (8 citations) and Statistics and Probability (23 citations). Arnab Kumar Laha has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Sayan Putatunda, Neeraj Mohan, Goutam Dutta, Debdatta Pal, Ashis SenGupta, Somak Dutta, Anand Jaiswal, Atanu Biswas, Asif Ekbal and Dilip Kumar Ghosh. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Transportation Research Part C Emerging Technologies.
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.