Deepak Narayanan
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques 4
- Computational Mathematics top 10%
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- Advanced Neural Network Applications 3
- Artificial Intelligence top 5%
- Machine Learning and Data Classification 3
- Stochastic Gradient Optimization Techniques 3
- Data Stream Mining Techniques 3
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- Optimization and Search Problems 2
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- Cloud Computing and Resource Management 4
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- Aortic Disease and Treatment Approaches 2
- Co-authors
- Matei ZahariaAmar PhanishayeeNikhil R. DevanurPhillip B. GibbonsAaron HarlapVivek SeshadriGregory R. GangerSamuel Madden
- Journals
- Proceedings of the VLDB Endowment (2 papers)Mathematical Programming Computation (1 paper)ACM Transactions on Database Systems (1 paper)
- Partner nations
- United StatesUnited KingdomIndia
In The Last Decade
Deepak Narayanan
14 papers receiving 612 citations
Hit Papers
Peers
Comparison fields: 5 of 52
- Hardware and Architecture 132
- Computational Mathematics 10
- Computer Vision and Pattern Recognition 273
- Artificial Intelligence 335
- Computer Networks and Communications 234
Countries citing papers authored by Deepak Narayanan
This map shows the geographic impact of Deepak Narayanan'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 Deepak Narayanan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepak Narayanan more than expected).
Fields of papers citing papers by Deepak Narayanan
This network shows the impact of papers produced by Deepak Narayanan. 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 Deepak Narayanan. The network helps show where Deepak Narayanan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Deepak Narayanan, 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 | 3 | |
| 2 | 2022 | 1 | |
| 3 | 2022 | 1 | |
| 4 | 2022 | 0 | |
| 5 | SED Analysis using Machine Learning Algorithms | 2021 | 1 |
| 6 | Piper: Multidimensional Planner for DNN Parallelization | 2021 | 9 |
| 7 | 2021 | 32 | |
| 8 | Offload Annotations: Bringing Heterogeneous Computing to Existing Libraries and Workloads | 2020 | 3 |
| 9 | Heterogeneity-Aware Cluster Scheduling Policies for Deep Learning Workloads | 2020 | 25 |
| 10 | Analysis and Exploitation of Dynamic Pricing in the Public Cloud for ML Training | 2020 | 5 |
| 11 | 2020 | 4 | |
| 12 | PipeDreambreakdown → | 2019 | 428 |
| 13 | 2018 | 4 | |
| 14 | 2018 | 45 | |
| 15 | Accelerating Deep Learning Workloads Through Efficient Multi-Model Execution | 2018 | 12 |
| 16 | 2017 | 63 |
About Deepak Narayanan
Deepak Narayanan is a scholar working on Hardware and Architecture, Artificial Intelligence, Computer Networks and Communications, Signal Processing and Information Systems, having authored 16 papers that have together received 636 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (4 papers), Cloud Computing and Resource Management (4 papers), Machine Learning and Data Classification (3 papers), Stochastic Gradient Optimization Techniques (3 papers), Data Stream Mining Techniques (3 papers), Advanced Neural Network Applications (3 papers), Aortic Disease and Treatment Approaches (2 papers) and Optimization and Search Problems (2 papers). The work is most often cited by research in Hardware and Architecture (132 citations), Computational Mathematics (10 citations), Computer Vision and Pattern Recognition (273 citations), Artificial Intelligence (335 citations) and Computer Networks and Communications (234 citations). Deepak Narayanan has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Matei Zaharia, Amar Phanishayee, Nikhil R. Devanur, Phillip B. Gibbons, Aaron Harlap, Vivek Seshadri, Gregory R. Ganger, Samuel Madden, Peter Bailis and Edward Gan. Their work appears in journals such as Proceedings of the VLDB Endowment, Mathematical Programming Computation, ACM Transactions on Database Systems, Indian Journal of Thoracic and Cardiovascular Surgery and USENIX Annual Technical Conference.
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.