Anindya Bhadra

1.5k total citations
51 papers, 941 citations indexed

About

Anindya Bhadra is a scholar working on Public Health, Environmental and Occupational Health, Physiology and Statistics and Probability. According to data from OpenAlex, Anindya Bhadra has authored 51 papers receiving a total of 941 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Public Health, Environmental and Occupational Health, 13 papers in Physiology and 13 papers in Statistics and Probability. Recurrent topics in Anindya Bhadra's work include Nutritional Studies and Diet (17 papers), Obesity, Physical Activity, Diet (13 papers) and Statistical Methods and Inference (13 papers). Anindya Bhadra is often cited by papers focused on Nutritional Studies and Diet (17 papers), Obesity, Physical Activity, Diet (13 papers) and Statistical Methods and Inference (13 papers). Anindya Bhadra collaborates with scholars based in United States, India and United Kingdom. Anindya Bhadra's co-authors include Heather A. Eicher‐Miller, Edward L. Ionides, Janet A. Tooze, Johanna Dwyer, Alexandra Cowan, Patricia M. Guenther, Regan L Bailey, Jaime Gahche, Nancy Potischman and Kevin W. Dodd and has published in prestigious journals such as Journal of the American Statistical Association, American Journal of Clinical Nutrition and Biometrics.

In The Last Decade

Anindya Bhadra

45 papers receiving 906 citations

Peers

Anindya Bhadra

PHEOH

PHYSI

GHP

Guadalupe Gómez Melis Spain

Keewhan Choi United States

Michele Nichols United States

Azra Ramezankhani Iran

Laël C. Gatewood United States

Seb Bacon United Kingdom

Hyokyoung G. Hong United States

Rajeev Kumar India

Sangita Kulathinal Finland

Rhonda D. Szczesniak United States

Guadalupe Gómez Melis Spain

Anindya Bhadra

122 ×0.3

PHEOH

43 ×0.3

PHYSI

65 ×0.5

55 ×0.5

GHP

381 ×3.8

Citations per year, relative to Anindya Bhadra Anindya Bhadra (= 1×) peers Guadalupe Gómez Melis

Countries citing papers authored by Anindya Bhadra

Since Specialization

Citations

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

Fields of papers citing papers by Anindya Bhadra

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anindya Bhadra

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

All Works

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20 of 20 papers shown

Ni, Yang, et al.. (2025). Robust Bayesian graphical regression models for assessing tumor heterogeneity in proteomic networks. Biometrics. 81(1).

Datta, Jyotishka, et al.. (2024). Maximum a posteriori estimation in graphical models using local linear approximation. Stat. 13(2). 2 indexed citations

Bhadra, Anindya, et al.. (2024). Merging two cultures: Deep and statistical learning. Wiley Interdisciplinary Reviews Computational Statistics. 16(2). 1 indexed citations

Bhadra, Anindya, Ruth H. Keogh, Victor Kipnis, et al.. (2024). Measurement error models with zero inflation and multiple sources of zeros, with applications to hard zeros. Lifetime Data Analysis. 30(3). 600–623. 1 indexed citations

Gelfand, S.B., Anindya Bhadra, Edward J. Delp, et al.. (2023). Temporal Dietary Pattern Cluster Membership Varies on Weekdays and Weekends but Both Link to Health. Journal of Nutrition. 154(2). 722–733. 2 indexed citations

Bhadra, Anindya, S.B. Gelfand, Edward J. Delp, et al.. (2023). Temporal Patterns of Diet and Physical Activity and of Diet Alone Have More Numerous Relationships With Health and Disease Status Indicators Compared to Temporal Patterns of Physical Activity Alone. Journal of the Academy of Nutrition and Dietetics. 123(12). 1729–1748.e3.

Li, Yitao, S.B. Gelfand, Edward J. Delp, et al.. (2022). The Discovery of Data-Driven Temporal Dietary Patterns and a Validation of Their Description Using Energy and Time Cut-Offs. Nutrients. 14(17). 3483–3483. 3 indexed citations

Cowan, Alexandra, Janet A. Tooze, Jaime Gahche, et al.. (2022). Trends in Overall and Micronutrient-Containing Dietary Supplement Use in US Adults and Children, NHANES 2007–2018. Journal of Nutrition. 152(12). 2789–2801. 41 indexed citations

Gelfand, S.B., Edward J. Delp, Anindya Bhadra, et al.. (2021). Temporal physical activity patterns are associated with obesity in U.S. adults. Preventive Medicine. 148. 106538–106538. 10 indexed citations

10.

Gelfand, S.B., Edward J. Delp, Anindya Bhadra, et al.. (2021). Joint temporal dietary and physical activity patterns: associations with health status indicators and chronic diseases. American Journal of Clinical Nutrition. 115(2). 456–470. 10 indexed citations

11.

Cowan, Alexandra, Regan L Bailey, Shinyoung Jun, et al.. (2021). The Total Nutrient Index is a Useful Measure for Assessing Total Micronutrient Exposures Among US Adults. Journal of Nutrition. 152(3). 863–871. 11 indexed citations

12.

Gelfand, S.B., Edward J. Delp, Anindya Bhadra, et al.. (2020). Temporal Dietary Patterns Are Associated with Obesity in US Adults. Journal of Nutrition. 150(12). 3259–3268. 19 indexed citations

13.

Bailey, Regan L, Kevin W. Dodd, Jaime Gahche, et al.. (2019). Best Practices for Dietary Supplement Assessment and Estimation of Total Usual Nutrient Intakes in Population-Level Research and Monitoring. Journal of Nutrition. 149(2). 181–197. 64 indexed citations

14.

Cowan, Alexandra, Shinyoung Jun, Janet A. Tooze, et al.. (2019). Comparison of 4 Methods to Assess the Prevalence of Use and Estimates of Nutrient Intakes from Dietary Supplements among US Adults. Journal of Nutrition. 150(4). 884–893. 14 indexed citations

15.

Eicher‐Miller, Heather A., et al.. (2019). Distance metrics optimized for clustering temporal dietary patterning among U.S. adults. Appetite. 144. 104451–104451. 8 indexed citations

16.

Lehrer, Michael, Anindya Bhadra, Visweswaran Ravikumar, et al.. (2018). High-dimensional regression analysis links magnetic resonance imaging features and protein expression and signaling pathway alterations in breast invasive carcinoma. Oncoscience. 5(1-2). 39–48. 2 indexed citations

17.

Bhadra, Anindya, et al.. (2017). Lasso Meets Horseshoe. arXiv (Cornell University). 2 indexed citations

18.

Bhadra, Anindya, Arvind Rao, & Veerabhadran Baladandayuthapani. (2017). Inferring Network Structure in Non-normal and Mixed Discrete-continuous Genomic Data. Biometrics. 74(1). 185–195. 13 indexed citations

19.

Bhadra, Anindya & Veerabhadran Baladandayuthapani. (2013). Integrative sparse Bayesian analysis of high-dimensional multi-platform genomic data in glioblastoma. PubMed. 7. 1–4. 2 indexed citations

20.

Laneri, Karina, Anindya Bhadra, Edward L. Ionides, et al.. (2010). Forcing Versus Feedback: Epidemic Malaria and Monsoon Rains in Northwest India. PLoS Computational Biology. 6(9). e1000898–e1000898. 101 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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