Prithwish Chakraborty

1.3k total citations
29 papers, 829 citations indexed

About

Prithwish Chakraborty is a scholar working on Artificial Intelligence, Epidemiology and Modeling and Simulation. According to data from OpenAlex, Prithwish Chakraborty has authored 29 papers receiving a total of 829 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 8 papers in Epidemiology and 5 papers in Modeling and Simulation. Recurrent topics in Prithwish Chakraborty's work include Data-Driven Disease Surveillance (8 papers), Machine Learning in Healthcare (7 papers) and Influenza Virus Research Studies (6 papers). Prithwish Chakraborty is often cited by papers focused on Data-Driven Disease Surveillance (8 papers), Machine Learning in Healthcare (7 papers) and Influenza Virus Research Studies (6 papers). Prithwish Chakraborty collaborates with scholars based in United States, India and Germany. Prithwish Chakraborty's co-authors include Gourab Ghosh Roy, Swagatam Das, Ajith Abraham, Ponnuthurai Nagaratnam Suganthan, Naren Ramakrishnan, Tapan Kumar Gandhi, Bijay Ketan Panigrahi, John S. Brownstein, Bryan Lewis and Madhav Marathe and has published in prestigious journals such as Expert Systems with Applications, Information Sciences and IEEE Transactions on Antennas and Propagation.

In The Last Decade

Prithwish Chakraborty

27 papers receiving 789 citations

Peers

Countries citing papers authored by Prithwish Chakraborty

Since Specialization

Citations

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

Fields of papers citing papers by Prithwish Chakraborty

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prithwish Chakraborty

This figure shows the co-authorship network connecting the top 25 collaborators of Prithwish Chakraborty. A scholar is included among the top collaborators of Prithwish Chakraborty 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 Prithwish Chakraborty. Prithwish Chakraborty 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

#	Work	Indexed citations
1	Explanation Ontology: A general-purpose, semantic representation for supporting user-centered explanations 2023 ·Semantic Web ·(unknown), Oshani Seneviratne, Mohamed Ghalwash, (unknown), Daniel M. Gruen, Pablo Meyer, Prithwish Chakraborty, Deborah L. McGuinness	6
2	Informing clinical assessment by contextualizing post-hoc explanations of risk prediction models in type-2 diabetes 2023 ·Artificial Intelligence in Medicine ·(unknown), (unknown), Daniel M. Gruen, Olivia Zhang, Elif Eyigöz, Mohamed Ghalwash, Oshani Seneviratne, Fernando Suárez, Pablo Meyer, Prithwish Chakraborty, Deborah L. McGuinness	13
3	Workshop on Applied Data Science for Healthcare: Applications and New Frontiers of Generative Models for Healthcare 2023 ·(unknown), Fei Wang, Prithwish Chakraborty, Pei-Yun Hsueh, Gregor Štiglic, Jiang Bian, Lixia Yao, (unknown), Florian Buettner	0
4	Human-centered explainability for life sciences, healthcare, and medical informatics 2022 ·Patterns ·Sanjoy Kumer Dey, Prithwish Chakraborty, Bum Chul Kwon, Amit Dhurandhar, Mohamed Ghalwash, Fernando Suárez, Kenney Ng, Daby Sow, Kush R. Varshney, Pablo Meyer	21
5	Workshop on Applied Data Science for Healthcare (DSHealth) 2022 ·Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining ·(unknown), Fei Wang, Prithwish Chakraborty, Pei-Yun Hsueh, Gregor Štiglic, Jiang Bian, Lixia Yao, (unknown), Florian Buettner	0
6	Tutorial on Human-Centered Explainability for Healthcare 2020 ·Prithwish Chakraborty, Bum Chul Kwon, Sanjoy Kumer Dey, Amit Dhurandhar, Daniel M. Gruen, Kenney Ng, Daby Sow, Kush R. Varshney	4
7	eXITs: An Ensemble Approach for Imputing Missing EHR Data 2019 ·James Codella, Hillol Sarker, Prithwish Chakraborty, Mohamed Ghalwash, Zijun Yao, Daby Sow	8
8	What to know before forecasting the flu 2018 ·PLoS Computational Biology ·Prithwish Chakraborty, Bryan Lewis, Stephen Eubank, John S. Brownstein, Madhav Marathe, Naren Ramakrishnan	11
9	Results from the second year of a collaborative effort to forecast influenza seasons in the United States 2018 ·Epidemics ·Matthew Biggerstaff, Michael A. Johansson, (unknown), Logan Brooks, Prithwish Chakraborty, David Farrow, Sangwon Hyun, Sasikiran Kandula, Craig McGowan, Naren Ramakrishnan, Roni Rosenfeld, Jeffrey Shaman, Rob Tibshirani, Ryan J. Tibshirani, Alessandro Vespignani, Wan Yang, Qian Zhang, Carrie Reed	62
10	A framework for evaluating epidemic forecasts 2017 ·BMC Infectious Diseases ·(unknown), Prithwish Chakraborty, Naren Ramakrishnan, Srinivasan Venkatramanan, Jiangzhuo Chen, Bryan Lewis, Madhav Marathe	33
11	Characterizing Diseases from Unstructured Text 2016 ·(unknown), Prithwish Chakraborty, Emily Cohn, John S. Brownstein, Naren Ramakrishnan	21
12	Time series forecasting via noisy channel reversal 2015 ·Pejman Khadivi, Prithwish Chakraborty, Ravi Tandon, Naren Ramakrishnan	1
13	Dynamic Poisson Autoregression for Influenza-Like-Illness Case Count Prediction 2015 ·(unknown), Prithwish Chakraborty, Sumiko R. Mekaru, John S. Brownstein, Jieping Ye, Naren Ramakrishnan	28
14	Forecasting a Moving Target: Ensemble Models for ILI Case Count Predictions 2014 ·Prithwish Chakraborty, Pejman Khadivi, Bryan Lewis, (unknown), Jiangzhuo Chen, P. J. Butler, Elaine O. Nsoesie, Sumiko R. Mekaru, John S. Brownstein, Madhav Marathe, Naren Ramakrishnan	51
15	The Deshredder: A visual analytic approach to reconstructing shredded documents 2012 ·P. J. Butler, Prithwish Chakraborty, (unknown)	20
16	On convergence of the multi-objective particle swarm optimizers 2010 ·Information Sciences ·Prithwish Chakraborty, Swagatam Das, Gourab Ghosh Roy, Ajith Abraham	70
17	On convergence of multi-objective Particle Swarm Optimizers 2010 ·Prithwish Chakraborty, Swagatam Das, Ajith Abraham, Václav Snåšel, Gourab Ghosh Roy	7
18	Design of Non-Uniform Circular Antenna Arrays Using a Modified Invasive Weed Optimization Algorithm 2010 ·IEEE Transactions on Antennas and Propagation ·Gourab Ghosh Roy, Swagatam Das, Prithwish Chakraborty, Ponnuthurai Nagaratnam Suganthan	146
19	An Improved Harmony Search Algorithm with Differential Mutation Operator 2009 ·Fundamenta Informaticae ·Prithwish Chakraborty, Gourab Ghosh Roy, Swagatam Das, (unknown), Ajith Abraham	135
20	On optimal feature selection using modified Harmony search for power quality disturbance classification 2009 ·Gourab Ghosh Roy, Bijaya Ketan Panigrahi, Prithwish Chakraborty, (unknown)	5

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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