Tushar Krishna
Impact in
- Hardware and Architecture top 0.05%
- Parallel Computing and Optimization Techniques
- Embedded Systems Design Techniques
- Computer Networks and Communications top 0.1%
- Interconnection Networks and Systems
- Advanced Data Storage Technologies
Papers in
-
- Parallel Computing and Optimization Techniques 79
- Embedded Systems Design Techniques 26
-
- Interconnection Networks and Systems 62
- Advanced Data Storage Technologies 19
- Co-authors
- Vivienne SzeJoel EmerLi-Shiuan PehHyoukjun KwonBradford M. BeckmannSteven K. ReinhardtKorey SewellNilay Vaish
- Journals
- IEEE Micro (7 papers)IEEE Transactions on Very Large Scale Integration (VLSI) Systems (4 papers)IEEE Computer Architecture Letters (3 papers)ACM SIGPLAN Notices (2 papers)Indian Journal of Science and Technology (1 paper)
- Partner nations
- United StatesCanadaIndia
In The Last Decade
Tushar Krishna
147 papers receiving 9.4k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Hardware and Architecture 5.3k
- Computer Networks and Communications 4.7k
- Computational Mathematics 100
- Computer Vision and Pattern Recognition 2.1k
- Electrical and Electronic Engineering 5.2k
Countries citing papers authored by Tushar Krishna
This map shows the geographic impact of Tushar Krishna'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 Tushar Krishna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tushar Krishna more than expected).
Fields of papers citing papers by Tushar Krishna
This network shows the impact of papers produced by Tushar Krishna. 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 Tushar Krishna. The network helps show where Tushar Krishna may publish in the future.
Co-authors
The 25 scholars most cited alongside Tushar Krishna, 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 | 2025 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 10 | |
| 4 | 2024 | 11 | |
| 5 | 2024 | 7 | |
| 6 | 2023 | 0 | |
| 7 | 2022 | 6 | |
| 8 | 2021 | 11 | |
| 9 | 2021 | 23 | |
| 10 | 2021 | 18 | |
| 11 | 2020 | 119 | |
| 12 | 2020 | 47 | |
| 13 | 2020 | 69 | |
| 14 | MARVEL: A Decoupled Model-driven Approach for Efficiently Mapping Convolutions on Spatial DNN Accelerators. | 2020 | 1 |
| 15 | A Data-Centric Approach for Modeling and Estimating Efficiency of Dataflows for Accelerator Design | 2018 | 5 |
| 16 | MAESTRO: An Open-source Infrastructure for the Cost-Benefit Analysis of Dataflows within Deep Learning Accelerators | 2018 | 0 |
| 17 | MAESTRO: An Open-source Infrastructure for Modeling Dataflows within Deep Learning Accelerators | 2018 | 20 |
| 18 | 2017 | 3 | |
| 19 | Adaptive manycore architectures for big data computing: Special session paper | 2017 | 3 |
| 20 | GARNET: A detailed on-chip network model inside a full-system simulator Hit paper breakdown → | 2009 | 578 |
About Tushar Krishna
Tushar Krishna is a scholar working on Hardware and Architecture, Computer Networks and Communications, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Artificial Intelligence, having authored 168 papers that have together received 9.6k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (79 papers), Interconnection Networks and Systems (62 papers), Advanced Memory and Neural Computing (50 papers), Advanced Neural Network Applications (36 papers), Embedded Systems Design Techniques (26 papers), Advanced Data Storage Technologies (19 papers), Ferroelectric and Negative Capacitance Devices (16 papers) and CCD and CMOS Imaging Sensors (8 papers). The work is most often cited by research in Hardware and Architecture (5.3k citations), Computer Networks and Communications (4.7k citations), Computational Mathematics (100 citations), Computer Vision and Pattern Recognition (2.1k citations) and Electrical and Electronic Engineering (5.2k citations). Tushar Krishna has collaborated with scholars based in United States, Canada and India. Frequent co-authors include Vivienne Sze, Joel Emer, Li-Shiuan Peh, Hyoukjun Kwon, Bradford M. Beckmann, Steven K. Reinhardt, Korey Sewell, Nilay Vaish, Joel Hestness and Rathijit Sen. Their work appears in journals such as IEEE Micro, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, IEEE Computer Architecture Letters, ACM SIGPLAN Notices and Indian Journal of Science and Technology.
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.