Jayadev Acharya
Impact in
- Artificial Intelligence top 5%
- Machine Learning and Algorithms
- Algorithms and Data Compression
- Privacy-Preserving Technologies in Data
- Bayesian Methods and Mixture Models
- Cryptography and Data Security
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- Medical Image Segmentation Techniques
- Advanced Image and Video Retrieval Techniques
Papers in
-
- Machine Learning and Algorithms 20
- Algorithms and Data Compression 15
- Privacy-Preserving Technologies in Data 12
- Bayesian Methods and Mixture Models 8
- Cryptography and Data Security 5
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- Statistical Methods and Inference 4
- Co-authors
- Aditi Verma (1 shared paper)Shaveta Arora (1 shared paper)Prasanta K. Panigrahi (1 shared paper)Alon Orlitsky (23 shared papers)Shengjun Pan (10 shared papers)Ziteng Sun (11 shared papers)Ananda Theertha Suresh (12 shared papers)Clément L. Canonne (8 shared papers)
- Journals
- Critical Reviews in Food Science and Nutrition (1 paper)Theory of Computing (1 paper)Pattern Recognition Letters (1 paper)Journal of Machine Learning Research (1 paper)Journal of Food Protection (1 paper)
- Partner nations
- United StatesIndiaAustralia
In The Last Decade
Jayadev Acharya
49 papers receiving 574 citations
Peers
Comparison fields: 5 of 99
- Artificial Intelligence 316
- Computer Vision and Pattern Recognition 184
- Statistics and Probability 67
- Media Technology 72
- Computer Science Applications 24
Countries citing papers authored by Jayadev Acharya
This map shows the geographic impact of Jayadev Acharya'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 Jayadev Acharya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jayadev Acharya more than expected).
Fields of papers citing papers by Jayadev Acharya
This network shows the impact of papers produced by Jayadev Acharya. 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 Jayadev Acharya. The network helps show where Jayadev Acharya may publish in the future.
Co-authors
The 25 scholars most cited alongside Jayadev Acharya, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 248 | |
| 2 | Competitive Closeness Testing | 2011 | 25 |
| 3 | 2022 | 22 | |
| 4 | Competitive Classification and Closeness Testing | 2012 | 22 |
| 5 | 2020 | 20 | |
| 6 | 2015 | 19 | |
| 7 | 2020 | 17 | |
| 8 | Optimal testing for properties of distributions | 2015 | 15 |
| 9 | Hadamard Response: Estimating Distributions Privately, Efficiently, and with Little Communication | 2019 | 15 |
| 10 | 2009 | 14 | |
| 11 | A Unified Maximum Likelihood Approach for Estimating Symmetric Properties of Discrete Distributions | 2017 | 13 |
| 12 | 2021 | 10 | |
| 13 | 2018 | 10 | |
| 14 | Optimal Probability Estimation with Applications to Prediction and Classification | 2013 | 9 |
| 15 | 2018 | 9 | |
| 16 | 2010 | 9 | |
| 17 | Differentially Private Testing of Identity and Closeness of Discrete Distributions | 2018 | 8 |
| 18 | Tight Bounds on Profile Redundancy and Distinguishability | 2012 | 7 |
| 19 | 2014 | 7 | |
| 20 | A Competitive Test for Uniformity of Monotone Distributions | 2013 | 7 |
About Jayadev Acharya
Jayadev Acharya is a scholar working on Artificial Intelligence, Statistics and Probability, Computational Theory and Mathematics, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 52 papers that have together received 611 indexed citations. Recurring topics across this work include Machine Learning and Algorithms (20 papers), Algorithms and Data Compression (15 papers), Privacy-Preserving Technologies in Data (12 papers), Bayesian Methods and Mixture Models (8 papers), Complexity and Algorithms in Graphs (6 papers), Cryptography and Data Security (5 papers), Statistical Methods and Inference (4 papers) and Wireless Communication Security Techniques (4 papers). The work is most often cited by research in Artificial Intelligence (316 citations), Computer Vision and Pattern Recognition (184 citations), Statistics and Probability (67 citations), Media Technology (72 citations) and Computer Science Applications (24 citations). Jayadev Acharya has collaborated with scholars based in United States, India and Australia. Frequent co-authors include Aditi Verma, Shaveta Arora, Prasanta K. Panigrahi, Alon Orlitsky, Shengjun Pan, Ziteng Sun, Ananda Theertha Suresh, Clément L. Canonne, Huanyu Zhang and Gautam Kamath. Their work appears in journals such as Critical Reviews in Food Science and Nutrition, Theory of Computing, Pattern Recognition Letters, Journal of Machine Learning Research and Journal of Food Protection.
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.