Anup Dewanji

1.2k total citations
63 papers, 817 citations indexed

About

Anup Dewanji is a scholar working on Statistics and Probability, Safety, Risk, Reliability and Quality and Management Science and Operations Research. According to data from OpenAlex, Anup Dewanji has authored 63 papers receiving a total of 817 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Statistics and Probability, 15 papers in Safety, Risk, Reliability and Quality and 10 papers in Management Science and Operations Research. Recurrent topics in Anup Dewanji's work include Statistical Distribution Estimation and Applications (19 papers), Statistical Methods in Clinical Trials (15 papers) and Reliability and Maintenance Optimization (15 papers). Anup Dewanji is often cited by papers focused on Statistical Distribution Estimation and Applications (19 papers), Statistical Methods in Clinical Trials (15 papers) and Reliability and Maintenance Optimization (15 papers). Anup Dewanji collaborates with scholars based in India, United States and Singapore. Anup Dewanji's co-authors include Suresh H. Moolgavkar, David Venzon, John D. Kalbfleisch, E. Georg Luebeck, Biswabrata Pradhan, Ritwik Bhattacharya, Debasis Sengupta, Atanu Biswas, Palash Ghosh and Atanu Biswas and has published in prestigious journals such as Technometrics, Cancer Research and Biometrics.

In The Last Decade

Anup Dewanji

56 papers receiving 784 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anup Dewanji India 15 294 201 132 92 87 63 817
Gregg E. Dinse United States 21 547 1.9× 201 1.0× 189 1.4× 87 0.9× 176 2.0× 57 1.4k
Donglin Zeng United States 20 910 3.1× 52 0.3× 27 0.2× 83 0.9× 128 1.5× 56 1.6k
Andrej Yu. Yakovlev United States 20 737 2.5× 241 1.2× 22 0.2× 185 2.0× 281 3.2× 69 1.5k
Ram C. Tripathi United States 15 368 1.3× 113 0.6× 175 1.3× 69 0.8× 36 0.4× 38 772
Pedro Luiz Ramos Brazil 18 496 1.7× 44 0.2× 17 0.1× 60 0.7× 115 1.3× 89 1.5k
Bo Henry Lindqvist Norway 20 652 2.2× 91 0.5× 7 0.1× 156 1.7× 143 1.6× 78 1.4k
Lurdes Y. T. Inoue United States 22 309 1.1× 184 0.9× 7 0.1× 133 1.4× 62 0.7× 48 1.4k
R. L. Prentice United States 16 837 2.8× 106 0.5× 22 0.2× 85 0.9× 107 1.2× 33 1.7k
Joan G. Staniswalis United States 17 716 2.4× 14 0.1× 143 1.1× 81 0.9× 47 0.5× 37 1.1k
Amy Racine-Poon Switzerland 15 800 2.7× 25 0.1× 32 0.2× 196 2.1× 113 1.3× 24 1.8k

Countries citing papers authored by Anup Dewanji

Since Specialization
Citations

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

Fields of papers citing papers by Anup Dewanji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anup Dewanji

This figure shows the co-authorship network connecting the top 25 collaborators of Anup Dewanji. A scholar is included among the top collaborators of Anup Dewanji 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 Anup Dewanji. Anup Dewanji 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.
2.
Dewanji, Anup, et al.. (2023). Current status data with two competing risks and time-dependent missing failure types. Journal of Applied Statistics. 51(9). 1689–1708.
3.
Dewanji, Anup, et al.. (2021). Current status data with two competing risks and missing failure types: a parametric approach. Journal of Applied Statistics. 49(7). 1769–1783. 4 indexed citations
4.
Curtius, Kit, Anup Dewanji, William D. Hazelton, Joel H. Rubenstein, & E. Georg Luebeck. (2020). Optimal Timing for Cancer Screening and Adaptive Surveillance Using Mathematical Modeling. Cancer Research. 81(4). 1123–1134. 6 indexed citations
5.
Dewanji, Anup, et al.. (2016). On Optimal Allocation of Experimental Units with Known Covariates into Multiple Treatment Groups. Calcutta Statistical Association Bulletin. 68(1-2). 69–81. 4 indexed citations
6.
Ghosh, Palash & Anup Dewanji. (2014). Effect of reporting bias in the analysis of spontaneous reporting data. Pharmaceutical Statistics. 14(1). 20–25. 20 indexed citations
7.
Dewanji, Anup, et al.. (2014). Dynamic Stress-Strength Modeling with Cumulative Stress and Strength Degradation. 2 indexed citations
8.
Dewanji, Anup, et al.. (2014). A Semiparametric Software Reliability Model for Analysis of a Bug-Database With Multiple Defect Types. Technometrics. 57(4). 576–585. 3 indexed citations
9.
Moolgavkar, Suresh H., et al.. (2012). Time-Series Analyses of Air Pollution and Mortality in the United States: A Subsampling Approach. Environmental Health Perspectives. 121(1). 73–78. 37 indexed citations
10.
Dewanji, Anup, Jihyoun Jeon, Rafael Meza, & E. Georg Luebeck. (2011). Number and Size Distribution of Colorectal Adenomas under the Multistage Clonal Expansion Model of Cancer. PLoS Computational Biology. 7(10). e1002213–e1002213. 10 indexed citations
11.
Pradhan, Biswabrata & Anup Dewanji. (2009). Parametric estimation of quality adjusted lifetime (QAL) distribution in progressive illness–death model. Statistics in Medicine. 28(15). 2012–2027. 2 indexed citations
12.
Biswas, Atanu & Anup Dewanji. (2003). Scheduling optimal examination times in a simple illness–death model. Journal of Statistical Planning and Inference. 126(1). 173–187. 1 indexed citations
13.
Dewanji, Anup & Debasis Sengupta. (2003). Estimation of Competing Risks with General Missing Pattern in Failure Types. Biometrics. 59(4). 1063–1070. 17 indexed citations
14.
Burnett, Richard T., Anup Dewanji, Francesca Dominici, et al.. (2002). On the relationship between time-series studies, dynamic population studies, and estimating loss of life due to short-term exposure to environmental risks.. Environmental Health Perspectives. 111(9). 1170–1174. 28 indexed citations
15.
Dewanji, Anup & Suresh H. Moolgavkar. (2002). Choice of stratification in Poisson process analysis of recurrent event data with environmental covariates. Statistics in Medicine. 21(22). 3383–3393. 6 indexed citations
16.
Dewanji, Anup, et al.. (2001). ON SYSTEM RELIABILITY UNDER STRESS-STRENGTH MODELING. Communication in Statistics- Theory and Methods. 30(6). 1185–1196. 5 indexed citations
17.
Dewanji, Anup, E. Georg Luebeck, & Suresh H. Moolgavkar. (1996). A biologically based model for the analysis of premalignant foci of arbitrary shape. Mathematical Biosciences. 135(1). 55–68. 5 indexed citations
18.
Mukhopadhyay, Susmita, Anup Dewanji, & Partha P. Majumder. (1993). Working Status and Anxiety Levels of Urban Educated Women in Calcutta. International Journal of Social Psychiatry. 39(3). 200–207. 8 indexed citations
19.
Dewanji, Anup, David Venzon, & Suresh H. Moolgavkar. (1989). A Stochastic Two‐Stage Model for Cancer Risk Assessment. II. The Number and Size of Premalignant Clones. Risk Analysis. 9(2). 179–187. 77 indexed citations
20.
Moolgavkar, Suresh H. & Anup Dewanji. (1988). Biologically Based Models for Cancer Risk Assessment: A Cautionary Note1. Risk Analysis. 8(1). 5–6. 18 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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