Abhirup Datta
- Environmental Engineering top 2%
- Artificial Intelligence top 5%
- Economics and Econometrics top 5%
- Statistics and Probability top 2%
- Global and Planetary Change top 10%
- Co-authors
- Andrew O. FinleySudipto BanerjeeAlan E. GelfandArkajyoti SahaHui ZouAndrew Zammit‐MangionRobert B. GramacyRajarshi Guhaniyogi
- Topics
- Soil Geostatistics and Mapping (16 papers)Spatial and Panel Data Analysis (12 papers)Air Quality Monitoring and Forecasting (12 papers)
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaJournal of the American Statistical Association
- Partner nations
- United StatesCanadaIndia
In The Last Decade
Abhirup Datta
51 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Environmental Engineering 590
- Artificial Intelligence 291
- Economics and Econometrics 262
- Statistics and Probability 220
- Global and Planetary Change 193
Countries citing papers authored by Abhirup Datta
This map shows the geographic impact of Abhirup Datta'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 Abhirup Datta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abhirup Datta more than expected).
Fields of papers citing papers by Abhirup Datta
This network shows the impact of papers produced by Abhirup Datta. 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 Abhirup Datta. The network helps show where Abhirup Datta may publish in the future.
Co-authorship network of co-authors of Abhirup Datta
This figure shows the co-authorship network connecting the top 25 collaborators of Abhirup Datta. A scholar is included among the top collaborators of Abhirup Datta 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 Abhirup Datta. Abhirup Datta 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 | 5 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 15 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 4 | |
| 9 | 12 | |
| 10 | 9 | |
| 11 | 6 | |
| 12 | 1 | |
| 13 | 6 | |
| 14 | 15 | |
| 15 | 4 | |
| 16 | R package for Nearest Neighbor Gaussian Process models | 2 |
| 17 | 47 | |
| 18 | 20 | |
| 19 | Fast Inference for Large Spatial Datasets using BRISC [R package BRISC version 0.2.0] | 1 |
| 20 | Methods for Analyzing Large Spatial Data: A Review and Comparison | 13 |
About Abhirup Datta
Abhirup Datta is a scholar working on Environmental Engineering, Statistics and Probability and Health, Toxicology and Mutagenesis, having authored 57 papers that have together received 1.2k indexed citations. Recurring topics across this work include Soil Geostatistics and Mapping (16 papers), Spatial and Panel Data Analysis (12 papers) and Air Quality Monitoring and Forecasting (12 papers). The work is most often cited by research in Environmental Engineering (590 citations), Statistics and Probability (220 citations) and Computational Mathematics (8 citations). Abhirup Datta has collaborated with scholars based in United States, Canada and India. Frequent co-authors include Andrew O. Finley, Sudipto Banerjee, Alan E. Gelfand, Arkajyoti Saha, Hui Zou, Andrew Zammit‐Mangion, Robert B. Gramacy, Rajarshi Guhaniyogi, Dorit Hammerling and Douglas Nychka. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Journal of the American Statistical Association.
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.