Ambedkar Dukkipati
- Computational Mathematics top 5%
- Tensor decomposition and applications 4
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- Statistical Mechanics and Entropy 7
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- Advanced Neural Network Applications 4
- Artificial Intelligence top 10%
- Domain Adaptation and Few-Shot Learning 6
- Statistics and Probability top 10%
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- Polynomial and algebraic computation 6
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- Commutative Algebra and Its Applications 6
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- Sparse and Compressive Sensing Techniques 4
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- Complex Systems and Time Series Analysis 4
- Co-authors
- Debarghya GhoshdastidarPhaneendra K. YalavarthyShalabh BhatnagarM. Narasimha MurtyGaurav PandeyPranav ShyamRui M. CastroPrabhanjan Ananth
- Cited by
- Computational MathematicsStatistical and Nonlinear PhysicsComputer Vision and Pattern Recognition
- Journals
- Automatica (1 paper)IEEE Transactions on Medical Imaging (1 paper)The Annals of Statistics (1 paper)
- Partner nations
- IndiaNetherlandsSwitzerland
In The Last Decade
Ambedkar Dukkipati
37 papers receiving 323 citations
Peers
Comparison fields: 5 of 73
- Computational Mathematics 40
- Statistical and Nonlinear Physics 100
- Computer Vision and Pattern Recognition 88
- Artificial Intelligence 136
- Statistics and Probability 26
Countries citing papers authored by Ambedkar Dukkipati
This map shows the geographic impact of Ambedkar Dukkipati'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 Ambedkar Dukkipati with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ambedkar Dukkipati more than expected).
Fields of papers citing papers by Ambedkar Dukkipati
This network shows the impact of papers produced by Ambedkar Dukkipati. 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 Ambedkar Dukkipati. The network helps show where Ambedkar Dukkipati may publish in the future.
Co-authorship network
The 20 scholars most cited alongside Ambedkar Dukkipati, 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 | 2024 | 0 | |
| 2 | 2023 | 0 | |
| 3 | 2023 | 2 | |
| 4 | 2022 | 5 | |
| 5 | 2020 | 56 | |
| 6 | Uniform Hypergraph Partitioning: Provable Tensor Methods and Sampling Techniques | 2017 | 6 |
| 7 | Attentive Recurrent Comparators | 2017 | 13 |
| 8 | 2016 | 6 | |
| 9 | A Provable Generalized Tensor Spectral Method for Uniform Hypergraph Partitioning | 2015 | 15 |
| 10 | 2015 | 3 | |
| 11 | To go deep or wide in learning | 2014 | 5 |
| 12 | Macaulay-Buchberger Basis Theorem for Residue Class Rings with Torsion and Border Bases over Rings. | 2014 | 0 |
| 13 | Learning by Stretching Deep Networks | 2014 | 10 |
| 14 | Consistency of Spectral Partitioning of Uniform Hypergraphs under Planted Partition Model | 2014 | 31 |
| 15 | 2014 | 0 | |
| 16 | 2012 | 2 | |
| 17 | 2012 | 7 | |
| 18 | 2009 | 3 | |
| 19 | 2005 | 7 | |
| 20 | 2005 | 3 |
About Ambedkar Dukkipati
Ambedkar Dukkipati is a scholar working on Computational Mathematics, Algebra and Number Theory and Statistics and Probability, having authored 43 papers that have together received 337 indexed citations. Recurring topics across this work include Statistical Mechanics and Entropy (7 papers), Domain Adaptation and Few-Shot Learning (6 papers), Polynomial and algebraic computation (6 papers), Commutative Algebra and Its Applications (6 papers), Sparse and Compressive Sensing Techniques (4 papers), Tensor decomposition and applications (4 papers), Advanced Neural Network Applications (4 papers) and Complex Systems and Time Series Analysis (4 papers). The work is most often cited by research in Computational Mathematics (40 citations), Statistical and Nonlinear Physics (100 citations) and Computer Vision and Pattern Recognition (88 citations). Ambedkar Dukkipati has collaborated with scholars based in India, Netherlands and Switzerland. Frequent co-authors include Debarghya Ghoshdastidar, Phaneendra K. Yalavarthy, Shalabh Bhatnagar, M. Narasimha Murty, Gaurav Pandey, Pranav Shyam, Rui M. Castro, Prabhanjan Ananth, Anup Kumar and Gaurav Pandey. Their work appears in journals such as Automatica, IEEE Transactions on Medical Imaging and The Annals of Statistics.
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.