Deepayan Chakrabarti
Impact in
- Statistical and Nonlinear Physics top 0.2%
- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
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- Network Security and Intrusion Detection
- Caching and Content Delivery
Papers in
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- Complex Network Analysis Techniques 26
- Opinion Dynamics and Social Influence 11
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- Advanced Graph Neural Networks 8
- Advanced Clustering Algorithms Research 5
- Co-authors
- Christos FaloutsosAndrew TomkinsRavi KumarChenxi WangYang WangJure LeskovecYan WangDeepak Agarwal
- Journals
- IEEE Transactions on Robotics and Automation (1 paper)Knowledge and Information Systems (1 paper)The Annals of Applied Statistics (1 paper)Journal of the American Statistical Association (1 paper)ACM Transactions on Information and System Security (1 paper)
- Partner nations
- United StatesSpainUnited Kingdom
In The Last Decade
Deepayan Chakrabarti
51 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Statistical and Nonlinear Physics 2.1k
- Computer Networks and Communications 1.2k
- Computer Vision and Pattern Recognition 1.0k
- Artificial Intelligence 1.5k
- Modeling and Simulation 214
Countries citing papers authored by Deepayan Chakrabarti
This map shows the geographic impact of Deepayan Chakrabarti'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 Deepayan Chakrabarti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepayan Chakrabarti more than expected).
Fields of papers citing papers by Deepayan Chakrabarti
This network shows the impact of papers produced by Deepayan Chakrabarti. 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 Deepayan Chakrabarti. The network helps show where Deepayan Chakrabarti may publish in the future.
Co-authors
The 25 scholars most cited alongside Deepayan Chakrabarti, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 1 | |
| 2 | 2022 | 1 | |
| 3 | Consistent Nonparametric Methods for Network Assisted Covariate Estimation | 2021 | 1 |
| 4 | 2019 | 9 | |
| 5 | Overlapping Clustering Models, and One (class) SVM to Bind Them All | 2018 | 5 |
| 6 | 2018 | 1 | |
| 7 | The consistency of common neighbors for link prediction in stochastic blockmodels | 2015 | 4 |
| 8 | Joint Inference of Multiple Label Types in Large Networks | 2014 | 6 |
| 9 | 2012 | 20 | |
| 10 | Preserving Personalized Pagerank in Subgraphs | 2011 | 14 |
| 11 | Non-parametric Link Prediction | 2011 | 1 |
| 12 | 2010 | 26 | |
| 13 | Mortal Multi-Armed Bandits | 2008 | 56 |
| 14 | A Real-Time Expectation Maximization Algorithm for Acquiring Multi-Planar Maps of Indoor Environments with Mobile Robots | 2008 | 19 |
| 15 | 2008 | 65 | |
| 16 | 2007 | 50 | |
| 17 | 2007 | 52 | |
| 18 | Tools for large graph mining | 2005 | 14 |
| 19 | 2002 | 2 | |
| 20 | Using EM to Learn 3D Models of Indoor Environments with Mobile Robots | 2001 | 107 |
About Deepayan Chakrabarti
Deepayan Chakrabarti is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence, Management Science and Operations Research, Computer Vision and Pattern Recognition and Information Systems, having authored 54 papers that have together received 4.2k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (26 papers), Opinion Dynamics and Social Influence (11 papers), Advanced Graph Neural Networks (8 papers), Advanced Bandit Algorithms Research (7 papers), Web Data Mining and Analysis (6 papers), Data Management and Algorithms (5 papers), Advanced Clustering Algorithms Research (5 papers) and Optimization and Search Problems (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (2.1k citations), Computer Networks and Communications (1.2k citations), Computer Vision and Pattern Recognition (1.0k citations), Artificial Intelligence (1.5k citations) and Modeling and Simulation (214 citations). Deepayan Chakrabarti has collaborated with scholars based in United States, Spain and United Kingdom. Frequent co-authors include Christos Faloutsos, Andrew Tomkins, Ravi Kumar, Chenxi Wang, Yang Wang, Jure Leskovec, Yan Wang, Chenxi Wang, Deepak Agarwal and Huiming Qu. Their work appears in journals such as IEEE Transactions on Robotics and Automation, Knowledge and Information Systems, The Annals of Applied Statistics, Journal of the American Statistical Association and ACM Transactions on Information and System Security.
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.