Bhaswati Ganguli

1.4k total citations
38 papers, 998 citations indexed

About

Bhaswati Ganguli is a scholar working on Statistics and Probability, Artificial Intelligence and Environmental Chemistry. According to data from OpenAlex, Bhaswati Ganguli has authored 38 papers receiving a total of 998 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Statistics and Probability, 8 papers in Artificial Intelligence and 6 papers in Environmental Chemistry. Recurrent topics in Bhaswati Ganguli's work include Statistical Methods and Inference (7 papers), Energy Load and Power Forecasting (6 papers) and Arsenic contamination and mitigation (6 papers). Bhaswati Ganguli is often cited by papers focused on Statistical Methods and Inference (7 papers), Energy Load and Power Forecasting (6 papers) and Arsenic contamination and mitigation (6 papers). Bhaswati Ganguli collaborates with scholars based in India, United Kingdom and United States. Bhaswati Ganguli's co-authors include Ellen A. Eisen, Donna Spiegelman, Usha Govindarajulu, Sally W. Thurston, Quinette Louw, Linzette Morris, Santu Ghosh, Kalpana Balakrishnan, Sankar Sambandam and Elizabeth J. Malloy and has published in prestigious journals such as SHILAP Revista de lepidopterología, Geochimica et Cosmochimica Acta and Statistics in Medicine.

In The Last Decade

Bhaswati Ganguli

34 papers receiving 983 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bhaswati Ganguli India 13 297 213 141 106 99 38 998
Harris Pastides United States 22 384 1.3× 111 0.5× 36 0.3× 227 2.1× 46 0.5× 48 1.9k
Nazmul Sohel Canada 25 479 1.6× 142 0.7× 420 3.0× 18 0.2× 22 0.2× 56 1.9k
Peng Shen China 23 434 1.5× 159 0.7× 46 0.3× 53 0.5× 7 0.1× 163 1.9k
Shanshan Zhao United States 22 1.1k 3.8× 159 0.7× 237 1.7× 17 0.2× 124 1.3× 88 2.5k
J. Michael Wright United States 24 1.2k 4.0× 112 0.5× 248 1.8× 70 0.7× 14 0.1× 65 2.2k
Lawrence C. McCandless Canada 24 602 2.0× 74 0.3× 127 0.9× 13 0.1× 427 4.3× 77 2.0k
Zhijun Huang China 21 398 1.3× 157 0.7× 47 0.3× 39 0.4× 6 0.1× 117 1.6k
Kin Che Lam Hong Kong 16 209 0.7× 270 1.3× 113 0.8× 8 0.1× 127 1.3× 34 967
David Ozonoff United States 24 564 1.9× 33 0.2× 37 0.3× 26 0.2× 23 0.2× 65 1.4k
Afshin Ostovar Iran 23 217 0.7× 226 1.1× 17 0.1× 45 0.4× 7 0.1× 220 2.1k

Countries citing papers authored by Bhaswati Ganguli

Since Specialization
Citations

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

Fields of papers citing papers by Bhaswati Ganguli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bhaswati Ganguli

This figure shows the co-authorship network connecting the top 25 collaborators of Bhaswati Ganguli. A scholar is included among the top collaborators of Bhaswati Ganguli 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 Bhaswati Ganguli. Bhaswati Ganguli 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.
Goswami, Saptarsi, et al.. (2025). An Adaptive Deep Learning Based Short-Term Wind Speed Forecasting Model for Variable Terrain Conditions. IEEE Transactions on Artificial Intelligence. 6(9). 2437–2447. 1 indexed citations
2.
Ganguli, Bhaswati, et al.. (2024). Multivariate Bayesian Time-Series Model with Multi-temporal Convolution Network for Forecasting Stock Market During COVID-19 Pandemic. International Journal of Computational Intelligence Systems. 17(1). 2 indexed citations
3.
Ganguli, Bhaswati, et al.. (2024). Modelling alternately recurring events using subject specific hazard estimation approach. Journal of Biopharmaceutical Statistics. 35(3). 321–342.
4.
Goswami, Saptarsi, et al.. (2022). An Lstm Based Adaptive Model for Solar Forecasting Using Clustering. SSRN Electronic Journal.
5.
Goswami, Rudra Prosad, et al.. (2021). Endemic infections, vaccinations, and variability of SARS‐COV2 worldwide epidemiology: A cross‐sectional study. Journal of Medical Virology. 93(5). 3105–3112. 5 indexed citations
6.
Goswami, Saptarsi, et al.. (2021). A Novel Feature Representation for Prediction of Global Horizontal Irradiance Using a Bidirectional Model. SHILAP Revista de lepidopterología. 3(4). 946–965. 1 indexed citations
7.
Ganguli, Bhaswati, et al.. (2021). An analysis of COVID-19 clusters in India. BMC Public Health. 21(1). 631–631. 11 indexed citations
8.
Chakrabarti, Amlan, et al.. (2018). Demonetization and its aftermath: an analysis based on twitter sentiments. Sadhana. 43(11). 11 indexed citations
9.
Das, Pranab Kumar, et al.. (2018). The Dynamics of Finance-Growth-Inequality Nexus: Theory and Evidence for India. SSRN Electronic Journal.
10.
Ganguli, Bhaswati, et al.. (2015). Deletion diagnostics for the generalised linear mixed model with independent random effects. Statistics in Medicine. 35(9). 1488–1501. 3 indexed citations
11.
12.
Balakrishnan, Kalpana, Santu Ghosh, Bhaswati Ganguli, et al.. (2013). State and national household concentrations of PM2.5 from solid cookfuel use: Results from measurements and modeling in India for estimation of the global burden of disease. Environmental Health. 12(1). 77–77. 141 indexed citations
13.
Ganguli, Bhaswati, et al.. (2011). GlutathioneS-transferase polymorphic status modifies the arsenic induced clinical manifestation in Nadia District of West Bengal, India. Journal of Public Health and Epidemiology. 3(10). 424–428. 1 indexed citations
14.
Mondal, Debapriya, Mayukh Banerjee, Nilanjana Banerjee, et al.. (2010). Comparison of drinking water, raw rice and cooking of rice as arsenic exposure routes in three contrasting areas of West Bengal, India. Environmental Geochemistry and Health. 32(6). 463–477. 129 indexed citations
15.
Majumdar, Sunipa, Sarmishtha Chanda, Bhaswati Ganguli, et al.. (2010). Arsenic exposure induces genomic hypermethylation. Environmental Toxicology. 25(3). 315–318. 63 indexed citations
16.
Govindarajulu, Usha, Elizabeth J. Malloy, Bhaswati Ganguli, Donna Spiegelman, & Ellen A. Eisen. (2009). The Comparison of Alternative Smoothing Methods for Fitting Non-Linear Exposure-Response Relationships with Cox Models in a Simulation Study. The International Journal of Biostatistics. 5(1). Article 2–Article 2. 102 indexed citations
17.
Mondal, Debapriya, David A. Polya, Ashok K. Giri, et al.. (2009). Mitigation of geogenic arsenic bearing groundwaters: Assessing the importance of risk substitution arising from waterborne pathogens. Geochimica et Cosmochimica Acta. 73(13). 2 indexed citations
18.
Mondal, Bama Charan, et al.. (2008). Methylation Status of Promoter-Associated CpG Islands in Primary Acute Myeloid Leukemia. Acta Haematologica. 120(4). 207–210. 1 indexed citations
19.
Ganguli, Bhaswati & M. P. Wand. (2005). Additive models for geo-referenced failure time data. Statistics in Medicine. 25(14). 2469–2482. 6 indexed citations
20.
Ganguli, Bhaswati & M. P. Wand. (2004). Feature Significance in Geostatistics. Journal of Computational and Graphical Statistics. 13(4). 954–973. 12 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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