Onur Mutlu
- Hardware and Architecture top 0.01%
- Parallel Computing and Optimization Techniques 337
- Computer Networks and Communications top 0.01%
- Advanced Data Storage Technologies 231
- Interconnection Networks and Systems 102
- Distributed systems and fault tolerance 51
- Information Systems top 0.05%
- Cloud Computing and Resource Management 65
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- Advanced Memory and Neural Computing 92
- Low-power high-performance VLSI design 35
- Artificial Intelligence top 0.2%
- Algorithms and Data Compression 41
- Co-authors
- Yale N. PattThomas MoscibrodaYoongu KimSaugata GhoseEngin İpekDonghyuk LeeVivek SeshadriBenjamin C. Lee
- Journals
- IEEE Micro (20 papers)ACM SIGMETRICS Performance Evaluation Review (13 papers)ACM SIGPLAN Notices (12 papers)
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
Onur Mutlu
462 papers receiving 25.8k citations
Hit Papers
Peers
Comparison fields: 5 of 166
- Hardware and Architecture 18.7k
- Computer Networks and Communications 18.8k
- Information Systems 4.3k
- Electrical and Electronic Engineering 10.3k
- Artificial Intelligence 3.7k
Countries citing papers authored by Onur Mutlu
This map shows the geographic impact of Onur Mutlu'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 Onur Mutlu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Onur Mutlu more than expected).
Fields of papers citing papers by Onur Mutlu
This network shows the impact of papers produced by Onur Mutlu. 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 Onur Mutlu. The network helps show where Onur Mutlu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Onur Mutlu, 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 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 7 | |
| 4 | 2024 | 13 | |
| 5 | 2024 | 14 | |
| 6 | 2023 | 14 | |
| 7 | 2023 | 14 | |
| 8 | 2022 | 12 | |
| 9 | 2022 | 32 | |
| 10 | 2021 | 26 | |
| 11 | NATSA: A Near-Data Processing Accelerator for Time Series Analysis. | 2020 | 39 |
| 12 | 2019 | 35 | |
| 13 | 2019 | 52 | |
| 14 | 2018 | 40 | |
| 15 | 2017 | 44 | |
| 16 | 2016 | 143 | |
| 17 | 2015 | 196 | |
| 18 | 2015 | 143 | |
| 19 | 2013 | 156 | |
| 20 | 2003 | 294 |
About Onur Mutlu
Onur Mutlu is a scholar working on Hardware and Architecture, Computer Networks and Communications and Information Systems, having authored 477 papers that have together received 27.0k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (337 papers), Advanced Data Storage Technologies (231 papers), Interconnection Networks and Systems (102 papers), Advanced Memory and Neural Computing (92 papers), Cloud Computing and Resource Management (65 papers), Distributed systems and fault tolerance (51 papers), Algorithms and Data Compression (41 papers) and Low-power high-performance VLSI design (35 papers). The work is most often cited by research in Hardware and Architecture (18.7k citations), Computer Networks and Communications (18.8k citations) and Information Systems (4.3k citations). Onur Mutlu has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Yale N. Patt, Thomas Moscibroda, Yoongu Kim, Saugata Ghose, Engin İpek, Donghyuk Lee, Vivek Seshadri, Benjamin C. Lee, Doug Burger and Rachata Ausavarungnirun. Their work appears in journals such as IEEE Micro, ACM SIGMETRICS Performance Evaluation Review, ACM SIGPLAN Notices, IEEE Computer Architecture Letters and Bioinformatics.
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.