World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
78
Citations
23141
World Ranking
580
National Ranking
261

Computer Science

D-Index
79
Citations
25437
World Ranking
1143
National Ranking
608

Mahmut Kandemir publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Mahmut Kandemir sits on this spectrum.

34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34 publications 1,065+

This scientist: 712 publications — 94th percentile

94% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

Mahmut Kandemir D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Mahmut Kandemir sits on this spectrum.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 78 D-Index — 92nd percentile

92% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

Research.com Recognitions

  • 2016 - IEEE Fellow For contributions to compiler support for performance and energy optimization of computer architectures

Overview

Mahmut Kandemir is affiliated with Pennsylvania State University in the United States. Their research primarily spans the field of Computer Science, with a focus on subfields including Computer Networks and Communications, Artificial Intelligence, Hardware and Architecture, Electrical and Electronic Engineering, and Information Systems.

The scientist's work addresses several key topics within their field. These include:

  • Parallel Computing and Optimization Techniques
  • Advanced Data Storage Technologies
  • Cloud Computing and Resource Management
  • Caching and Content Delivery
  • IoT and Edge/Fog Computing
  • Advanced Memory and Neural Computing
  • Advanced Neural Network Applications

Mahmut Kandemir has contributed extensively to academic literature, with frequent publications appearing in the following venues:

  • arXiv (Cornell University)
  • Proceedings of the ACM on Measurement and Analysis of Computing Systems
  • ACM SIGMETRICS Performance Evaluation Review
  • Zenodo (CERN European Organization for Nuclear Research)
  • Journal of Chemical Information and Modeling

Selected recent papers authored or coauthored by Mahmut Kandemir include:

  • Predicting Protein-Ligand Docking Structure with Graph Neural Network, 2022, Journal of Chemical Information and Modeling
  • GPU-Accelerated Flexible Molecular Docking, 2021, The Journal of Physical Chemistry B
  • Guiding Conventional Protein-Ligand Docking Software with Convolutional Neural Networks, 2020, Journal of Chemical Information and Modeling
  • End-to-end Characterization of Game Streaming Applications on Mobile Platforms, 2022, Proceedings of the ACM on Measurement and Analysis of Computing Systems
  • Exploiting Frame Similarity for Efficient Inference on Edge Devices, 2022, 2022 IEEE 42nd International Conference on Distributed Computing Systems (ICDCS)

The scientist collaborates frequently with several coauthors, including:

  • Chita R. Das
  • Vijaykrishnan Narayanan
  • Jashwant Raj Gunasekaran
  • Jagadish Kotra
  • Cyan Subhra Mishra

Mahmut Kandemir received the IEEE Fellow award in 2016 for contributions related to compiler support aimed at improving performance and energy optimization of computer architectures.

Best Publications

  • Leakage current: Moore's law meets static power

    N.S. Kim;T. Austin;D. Baauw;T. Mudge

  • The design and use of simplepower: a cycle-accurate energy estimation tool

    W. Ye;N. Vijaykrishnan;M. Kandemir;M. J. Irwin

  • Evaluating STT-RAM as an energy-efficient main memory alternative

    Emre Kultursay;Mahmut Kandemir;Anand Sivasubramaniam;Onur Mutlu

  • DRPM: dynamic speed control for power management in server class disks

    Sudhanva Gurumurthi;Anand Sivasubramaniam;Mahmut Kandemir;Hubertus Franke

  • Design and Management of 3D Chip Multiprocessors Using Network-in-Memory

    Feihui Li;Chrysostomos Nicopoulos;Thomas Richardson;Yuan Xie

  • Dynamic management of scratch-pad memory space

    M. Kandemir;J. Ramanujam;J. Irwin;N. Vijaykrishnan

  • Energy-driven integrated hardware-software optimizations using SimplePower

    N. Vijaykrishnan;M. Kandemir;M. J. Irwin;H. S. Kim

  • OWL: cooperative thread array aware scheduling techniques for improving GPGPU performance

    Adwait Jog;Onur Kayiran;Nachiappan Chidambaram Nachiappan;Asit K. Mishra

  • Reducing memory interference in multicore systems via application-aware memory channel partitioning

    Sai Prashanth Muralidhara;Lavanya Subramanian;Onur Mutlu;Mahmut Kandemir

  • Neither more nor less: optimizing thread-level parallelism for GPGPUs

    Onur Kayıran;Adwait Jog;Mahmut Taylan Kandemir;Chita Ranjan Das

  • Fault tolerant algorithms for network-on-chip interconnect

    M. Pirretti;G.M. Link;R.R. Brooks;N. Vijaykrishnan

  • Using complete machine simulation for software power estimation: the SoftWatt approach

    S. Gurumurthi;A. Sivasubramaniam;M.J. Irwin;N. Vijaykrishnan

  • Reducing leakage energy in FPGAs using region-constrained placement

    A. Gayasen;Y. Tsai;N. Vijaykrishnan;M. Kandemir

  • Influence of compiler optimizations on system power

    M. Kandemir;N. Vijaykrishnan;M.J. Irwin;Wu Ye

  • Orchestrated scheduling and prefetching for GPGPUs

    Adwait Jog;Onur Kayiran;Asit K. Mishra;Mahmut T. Kandemir

  • DRAM energy management using software and hardware directed power mode control

    V. Delaluz;M. Kandemir;N. Vijaykrishnan;A. Sivasubramaniam

  • Organizing the last line of defense before hitting the memory wall for CMPs

    C. Liu;Anand Sivasubramaniam;M. Kandemir

  • On the Detection of Clones in Sensor Networks Using Random Key Predistribution

    R. Brooks;P.Y. Govindaraju;M. Pirretti;N. Vijaykrishnan

  • Scheduler-based DRAM energy management

    V. Delaluz;A. Sivasubramaniam;M. Kandemir;N. Vijaykrishnan

  • Compiler-directed scratch pad memory hierarchy design and management

    M. Kandemir;A. Choudhary

  • Evaluating STT -RAM a s an Energy-Effic ient Main Memory Alternative

    Emre Kultursay;Mahmut T. Kandemir;Anand Sivasubramaniam

  • Reducing Memory Interference in Multicore Systems via Application-A ware Memory Channel Partitioning

    Sai Prashanth Muralidhara;Lavanya Subramanian;Onur Mutlu;Mahmut Kandemir

Frequent Co-Authors

Mary Jane Irwin
Mary Jane Irwin Pennsylvania State University
Alok Choudhary
Alok Choudhary Northwestern University
N. Vijaykrishnan
N. Vijaykrishnan Pennsylvania State University
Anand Sivasubramaniam
Anand Sivasubramaniam Pennsylvania State University
Chita R. Das
Chita R. Das Pennsylvania State University
J. Ramanujam
J. Ramanujam Louisiana State University
Yuan Xie
Yuan Xie Hong Kong University of Science and Technology
Prithviraj Banerjee
Prithviraj Banerjee Ansys (United States)
Gokhan Memik
Gokhan Memik Northwestern University
Richard R. Brooks
Richard R. Brooks Clemson University

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