Onur Mutlu

41.8k total citations · 17 hit papers
477 papers, 27.0k citations indexed

About

Onur Mutlu is a scholar working on Hardware and Architecture, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Onur Mutlu has authored 477 papers receiving a total of 27.0k indexed citations (citations by other indexed papers that have themselves been cited), including 356 papers in Hardware and Architecture, 341 papers in Computer Networks and Communications and 170 papers in Electrical and Electronic Engineering. Recurrent topics in Onur Mutlu's work include Parallel Computing and Optimization Techniques (337 papers), Advanced Data Storage Technologies (231 papers) and Interconnection Networks and Systems (102 papers). Onur Mutlu is often cited by papers focused on Parallel Computing and Optimization Techniques (337 papers), Advanced Data Storage Technologies (231 papers) and Interconnection Networks and Systems (102 papers). Onur Mutlu collaborates with scholars based in United States, Switzerland and United Kingdom. Onur Mutlu's co-authors include Yale N. Patt, Thomas Moscibroda, Yoongu Kim, Saugata Ghose, Engin İpek, Donghyuk Lee, Vivek Seshadri, Doug Burger, Benjamin C. Lee and Rachata Ausavarungnirun and has published in prestigious journals such as Nature Communications, Nature Genetics and Bioinformatics.

In The Last Decade

Onur Mutlu

462 papers receiving 25.8k citations

Hit Papers

Architecting phase change memory as a scalable dram alter... 2008 2026 2014 2020 2009 2014 2015 2009 2015 250 500 750 1000
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Architecting phase change memory as a scalable dram alternative
    2009 1.1k citations Onur Mutlu et al. profile →
  2. Flipping bits in memory without accessing them
    2014 558 citations Yoongu Kim, Chris Wilkerson et al. profile →
  3. A scalable processing-in-memory accelerator for parallel graph processing
    2015 535 citations Onur Mutlu et al. profile →
  4. Personalized copy number and segmental duplication maps using next-generation sequencing
    2009 505 citations Can Alkan, Onur Mutlu et al. profile →
  5. Ramulator: A Fast and Extensible DRAM Simulator
    2015 481 citations Yoongu Kim, Onur Mutlu et al. IEEE Computer Architecture Letters profile →
  6. Parallelism-Aware Batch Scheduling
    2008 342 citations Onur Mutlu et al. profile →
  7. RAIDR
    2012 335 citations Onur Mutlu et al. profile →
  8. Improving GPU performance via large warps and two-level warp scheduling
    2011 317 citations Onur Mutlu, Yale N. Patt et al. profile →
  9. Thread Cluster Memory Scheduling: Exploiting Differences in Memory Access Behavior
    2010 312 citations Yoongu Kim, Onur Mutlu et al. profile →
  10. Evaluating STT-RAM as an energy-efficient main memory alternative
    2013 311 citations Emre Kültürsay, Mahmut Kandemir et al. Figshare profile →
  11. ATLAS: A scalable and high-performance scheduling algorithm for multiple memory controllers
    2010 307 citations Yoongu Kim, Onur Mutlu et al. profile →
  12. PIM-enabled instructions
    2015 295 citations Onur Mutlu et al. profile →
  13. Ambit
    2017 294 citations Hasan Hassan, Amirali Boroumand et al. profile →
  14. Parallelism-Aware Batch Scheduling: Enhancing both Performance and Fairness of Shared DRAM Systems
    2008 289 citations Onur Mutlu et al. profile →
  15. Base-delta-immediate compression
    2012 268 citations Onur Mutlu et al. profile →
  16. Memory power management via dynamic voltage/frequency scaling
    2011 248 citations Onur Mutlu et al. profile →
  17. RowClone
    2013 234 citations Yoongu Kim, Rachata Ausavarungnirun et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Onur Mutlu United States 92 18.8k 18.7k 10.3k 4.3k 3.7k 477 27.0k
William J. Dally United States 69 17.4k 0.9× 14.2k 0.8× 11.5k 1.1× 1.2k 0.3× 2.6k 0.7× 304 25.6k
Yuan Xie United States 69 7.8k 0.4× 8.3k 0.4× 14.4k 1.4× 899 0.2× 4.1k 1.1× 610 21.5k
Srinivas Devadas United States 70 4.1k 0.2× 15.2k 0.8× 11.4k 1.1× 2.4k 0.6× 5.9k 1.6× 374 20.9k
Trevor Mudge United States 64 10.1k 0.5× 12.8k 0.7× 9.7k 0.9× 2.0k 0.5× 2.2k 0.6× 402 19.9k
Mahmut Kandemir United States 54 9.8k 0.5× 9.9k 0.5× 5.0k 0.5× 2.8k 0.7× 905 0.2× 782 14.0k
Margaret Martonosi United States 68 11.0k 0.6× 10.8k 0.6× 7.5k 0.7× 2.8k 0.6× 1.9k 0.5× 272 18.2k
Norman P. Jouppi United States 67 10.2k 0.5× 12.1k 0.6× 8.0k 0.8× 1.6k 0.4× 1.5k 0.4× 191 17.0k
Krste Asanović United States 52 6.0k 0.3× 6.6k 0.4× 3.5k 0.3× 1.4k 0.3× 2.0k 0.5× 222 10.5k
Doug Burger United States 56 10.6k 0.6× 12.7k 0.7× 7.2k 0.7× 1.6k 0.4× 1.2k 0.3× 168 16.1k
Mark D. Hill United States 70 15.4k 0.8× 15.7k 0.8× 4.6k 0.4× 2.7k 0.6× 1.9k 0.5× 267 18.8k

Countries citing papers authored by Onur Mutlu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Onur Mutlu

This figure shows the co-authorship network connecting the top 25 collaborators of Onur Mutlu. A scholar is included among the top collaborators of Onur Mutlu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Onur Mutlu. Onur Mutlu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Mao, Haiyu, Christina Giannoula, Mohammad Sadrosadati, et al.. (2025). PAPI: Exploiting Dynamic Parallelism in Large Language Model Decoding with a Processing-In-Memory-Enabled Computing System. 766–782. 3 indexed citations
2.
Olgun, Ataberk, A. Giray Yağlıkçı, Haocong Luo, et al.. (2024). Read Disturbance in High Bandwidth Memory: A Detailed Experimental Study on HBM2 DRAM Chips. 75–89. 11 indexed citations
3.
Yağlıkçı, A. Giray, Ataberk Olgun, Haocong Luo, et al.. (2024). Simultaneous Many-Row Activation in Off-the-Shelf DRAM Chips: Experimental Characterization and Analysis. 99–114. 7 indexed citations
4.
5.
6.
Kabra, Mayank, et al.. (2023). Evaluating Homomorphic Operations on a Real-World Processing-In-Memory System. 211–215. 14 indexed citations
7.
Orosa, Lois, Skanda Koppula, Konstantinos Kanellopoulos, et al.. (2023). EcoFlow: Efficient Convolutional Dataflows on Low-Power Neural Network Accelerators. IEEE Transactions on Computers. 73(9). 2275–2289.
8.
Fırtına, Can, Jisung Park, Mohammed Alser, et al.. (2023). BLEND: a fast, memory-efficient and accurate mechanism to find fuzzy seed matches in genome analysis. NAR Genomics and Bioinformatics. 5(1). lqad004–lqad004. 20 indexed citations
9.
Salami, Behzad, et al.. (2021). Understanding power consumption and reliability of high-bandwidth memory with voltage underscaling. UPCommons institutional repository (Universitat Politècnica de Catalunya). 14 indexed citations
10.
Vavourakis, Vasileios, Marcus Kaiser, Marco Manca, et al.. (2021). BioDynaMo: a modular platform for high-performance agent-based simulation. Bioinformatics. 38(2). 453–460. 26 indexed citations
11.
Cali, Damla Senol, Can Fırtına, Lavanya Subramanian, et al.. (2021). GenASM: a high-performance, low-power approximate string matching acceleration framework for genome sequence analysis. Bilkent University Institutional Repository (Bilkent University). 65 indexed citations
12.
Patel, Minesh, Jeremie S. Kim, Hasan Hassan, & Onur Mutlu. (2019). Understanding and Modeling On-Die Error Correction in Modern DRAM: An Experimental Study Using Real Devices. 13–25. 35 indexed citations
13.
Li, Yang, Saugata Ghose, Jongmoo Choi, et al.. (2017). Utility-Based Hybrid Memory Management. 152–165. 44 indexed citations
14.
Cai, Yu, Yixin Luo, Erich F. Haratsch, Ken Mai, & Onur Mutlu. (2015). Data retention in MLC NAND flash memory: Characterization, optimization, and recovery. Figshare. 551–563. 196 indexed citations
15.
Kim, Yoongu, et al.. (2015). Ramulator: A Fast and Extensible DRAM Simulator. IEEE Computer Architecture Letters. 15(1). 45–49. 481 indexed citations breakdown →
16.
Zhao, Jishen, Onur Mutlu, & Yuan Xie. (2014). FIRM: Fair and High-Performance Memory Control for Persistent Memory Systems. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 153–165. 64 indexed citations
17.
Mutlu, Onur. (2013). Memory scaling: A systems architecture perspective. Figshare. 21–25. 156 indexed citations
18.
Kültürsay, Emre, Mahmut Kandemir, Anand Sivasubramaniam, & Onur Mutlu. (2013). Evaluating STT-RAM as an energy-efficient main memory alternative. Figshare. 256–267. 311 indexed citations breakdown →
19.
Grot, Boris, Joel Hestness, Stephen W. Keckler, & Onur Mutlu. (2011). Kilo-NOC. 401–412. 104 indexed citations
20.
Mutlu, Onur, Jared Stark, Chris Wilkerson, & Yale N. Patt. (2003). Runahead execution: an alternative to very large instruction windows for out-of-order processors. 129–140. 294 indexed citations

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.

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