Bhaswati Ganguli

About

Bhaswati Ganguli is a scholar working on Statistics and Probability, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Bhaswati Ganguli has authored 36 papers receiving a total of 914 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Statistics and Probability, 8 papers in Artificial Intelligence and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Bhaswati Ganguli’s work include Statistical Methods and Inference (8 papers), Energy Load and Power Forecasting (6 papers) and Statistical Methods and Bayesian Inference (6 papers). Bhaswati Ganguli is often cited by papers focused on Statistical Methods and Inference (8 papers), Energy Load and Power Forecasting (6 papers) and Statistical Methods and Bayesian Inference (6 papers). Bhaswati Ganguli collaborates with scholars based in India, United States and United Kingdom. Bhaswati Ganguli's co-authors include Ellen A. Eisen, Usha Govindarajulu, Donna Spiegelman, Sally W. Thurston, Linzette Morris, Sankar Sambandam, Kalpana Balakrishnan, Quinette Louw, Santu Ghosh and M. P. Wand and has published in prestigious journals such as Geochimica et Cosmochimica Acta, Statistics in Medicine and BMC Public Health.

In The Last Decade

Co-authorship network of co-authors of Bhaswati Ganguli i

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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.

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).

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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