Arijit Chaudhuri

3.7k total citations
108 papers, 2.1k citations indexed

About

Arijit Chaudhuri is a scholar working on Statistics and Probability, Artificial Intelligence and Psychiatry and Mental health. According to data from OpenAlex, Arijit Chaudhuri has authored 108 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Statistics and Probability, 20 papers in Artificial Intelligence and 10 papers in Psychiatry and Mental health. Recurrent topics in Arijit Chaudhuri's work include Survey Sampling and Estimation Techniques (51 papers), Bayesian Methods and Mixture Models (13 papers) and Statistical Methods and Bayesian Inference (12 papers). Arijit Chaudhuri is often cited by papers focused on Survey Sampling and Estimation Techniques (51 papers), Bayesian Methods and Mixture Models (13 papers) and Statistical Methods and Bayesian Inference (12 papers). Arijit Chaudhuri collaborates with scholars based in India, United States and Cyprus. Arijit Chaudhuri's co-authors include Tapas Kumar Banerjee, Rahul Mukerjee, Avijit Hazra, Tasos C. Christofides, Horst Stenger, Atanu Biswas, Andrew C. Larner, James Darnell, Trishit Roy and Gad Nathan and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Journal of the American Statistical Association.

In The Last Decade

Arijit Chaudhuri

99 papers receiving 2.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Arijit Chaudhuri India 24 782 383 344 207 166 108 2.1k
James Wason United Kingdom 27 1.0k 1.3× 138 0.4× 201 0.6× 67 0.3× 28 0.2× 160 2.8k
Lee‐Jen Wei United States 30 2.2k 2.9× 117 0.3× 278 0.8× 208 1.0× 26 0.2× 85 4.6k
Muin J. Khoury United States 39 320 0.4× 310 0.8× 521 1.5× 80 0.4× 13 0.1× 95 7.0k
Dipankar Bandyopadhyay United States 28 542 0.7× 103 0.3× 268 0.8× 244 1.2× 14 0.1× 182 2.6k
Tapan Mehta United States 29 63 0.1× 224 0.6× 178 0.5× 62 0.3× 148 0.9× 104 3.2k
Jonathan French United States 21 206 0.3× 218 0.6× 177 0.5× 54 0.3× 37 0.2× 74 2.0k
Ben‐Chang Shia Taiwan 20 51 0.1× 627 1.6× 239 0.7× 95 0.5× 21 0.1× 159 2.1k
Matheos Yosef United States 20 221 0.3× 65 0.2× 168 0.5× 61 0.3× 16 0.1× 49 2.1k
Luisa Bernardinelli Italy 24 367 0.5× 60 0.2× 448 1.3× 99 0.5× 5 0.0× 96 2.6k
T. Mark Beasley United States 28 192 0.2× 120 0.3× 150 0.4× 53 0.3× 7 0.0× 69 2.9k

Countries citing papers authored by Arijit Chaudhuri

Since Specialization
Citations

This map shows the geographic impact of Arijit Chaudhuri'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 Arijit Chaudhuri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arijit Chaudhuri more than expected).

Fields of papers citing papers by Arijit Chaudhuri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arijit Chaudhuri. 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 Arijit Chaudhuri. The network helps show where Arijit Chaudhuri may publish in the future.

Co-authorship network of co-authors of Arijit Chaudhuri

This figure shows the co-authorship network connecting the top 25 collaborators of Arijit Chaudhuri. A scholar is included among the top collaborators of Arijit Chaudhuri 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 Arijit Chaudhuri. Arijit Chaudhuri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Chaudhuri, Arijit, et al.. (2024). Randomized Response Techniques. 2 indexed citations
2.
Chaudhuri, Arijit, et al.. (2019). A finite population quantile estimation by unequal probability sampling. Communication in Statistics- Theory and Methods. 49(22). 5419–5426. 1 indexed citations
3.
Hazra, Avijit, et al.. (2017). Prevalence, burden, and risk factors of migraine: A community-based study from Eastern India. Neurology India. 65(6). 1280–1280. 52 indexed citations
4.
Banerjee, Tapas Kumar, Sujata Das, Malay Ghosal, et al.. (2016). Epidemiology of dementia and its burden in the city of Kolkata, India. International Journal of Geriatric Psychiatry. 32(6). 605–614. 18 indexed citations
5.
Das, Sujata, Avijit Hazra, Malay Ghosal, et al.. (2013). Depression Among Stroke Survivors: A Community-based, Prospective Study from Kolkata, India. American Journal of Geriatric Psychiatry. 21(9). 821–831. 25 indexed citations
6.
Banerjee, Tapas Kumar, Biman Kanti Ray, Malay Ghosal, et al.. (2013). Disease Burden of Stroke in Kolkata, India: Derivation of Disability-Adjusted Life Years by a Direct Method. Neuroepidemiology. 41(2). 88–93. 7 indexed citations
7.
Ray, Biman Kanti, Avijit Hazra, Malay Ghosal, et al.. (2011). Early and Delayed Fatality of Stroke in Kolkata, India: Results From a 7-Year Longitudinal Population-Based Study. Journal of Stroke and Cerebrovascular Diseases. 22(4). 281–289. 37 indexed citations
8.
Banerjee, Tapas Kumar, Biman Kanti Ray, Shyamal Kumar Das, et al.. (2010). A longitudinal study of epilepsy in Kolkata, India. Epilepsia. 51(12). 2384–2391. 61 indexed citations
9.
Banerjee, Tapas Kumar, et al.. (2009). Prevalence of essential tremor in the city of Kolkata, India: a house-to-house survey. European Journal of Neurology. 16(7). 801–807. 18 indexed citations
10.
Das, Shyamal Kumar, Tapas Kumar Banerjee, Atanu Biswas, et al.. (2007). Community survey of primary dystonia in the city of Kolkata, India. Movement Disorders. 22(14). 2031–2036. 30 indexed citations
11.
Chaudhuri, Arijit. (2001). Using randomized response from a complex survey to estimate a sensitive proportion in a dichotomous finite population. Journal of Statistical Planning and Inference. 94(1). 37–42. 43 indexed citations
12.
Chaudhuri, Arijit, et al.. (1997). Small domain estimation by empirical bayes and kalman filtering procedures - a case study. Communication in Statistics- Theory and Methods. 26(7). 1613–1621.
13.
Chaudhuri, Arijit & Tapabrata Maiti. (1994). Borrowing strength from past data in small domain prediction by kalman filtering - a case. Communication in Statistics- Theory and Methods. 23(12). 3507–3514.
14.
Chaudhuri, Arijit. (1994). Small domain statistics: a review. Statistica Neerlandica. 48(3). 215–236. 7 indexed citations
15.
Chaudhuri, Arijit & Horst Stenger. (1992). Survey sampling : theory and methods. CERN Bulletin. 85 indexed citations
16.
Chaudhuri, Arijit. (1991). Efficient Sequential Search of Genetic Systems for Diagnosis of Twin Zygosity. Acta geneticae medicae et gemellologiae twin research. 40(2). 159–164. 1 indexed citations
17.
Blair, Ed, Arijit Chaudhuri, & Rahul Mukerjee. (1989). Randomized Response (Theory and Techniques). Journal of Marketing Research. 26(4). 484–484. 45 indexed citations
18.
Chaudhuri, Arijit, et al.. (1985). Environment and resources of tropical and temperate forests of India. 2 indexed citations
19.
Chaudhuri, Arijit & Rahul Mukerjee. (1985). Optionally Randomized Response Techniques. Calcutta Statistical Association Bulletin. 34(3-4). 225–230. 22 indexed citations
20.
Chaudhuri, Arijit. (1960). Principal Grasses and Grassland Habitats of Jalpaiguri Division, West Bengal. Indian Forester. 86(2). 87–91. 2 indexed citations

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.

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