World's Best Scientists 2026 revealed!
David H. Albonesi

David H. Albonesi

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
41
Citations
8691
World Ranking
4234
National Ranking
1517

Computer Science

D-Index
43
Citations
8975
World Ranking
7902
National Ranking
3410

David H. Albonesi 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 David H. Albonesi 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: 116 publications — 6th percentile

6% of scientists in this discipline score the same or lower.

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

David H. Albonesi 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 David H. Albonesi 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: 41 D-Index — 39th percentile

39% 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

  • 2011 - IEEE Fellow For contributions to power-efficient and adaptive computer architectures

Overview

David H. Albonesi is affiliated with Cornell University in the United States. Their research primarily spans the field of Computer Science with an emphasis on several subfields including Hardware and Architecture, Information Systems, Computer Vision and Pattern Recognition, and Computer Networks and Communications.

The main topics covered in Albonesi's work include Parallel Computing and Optimization Techniques, Cloud Computing and Resource Management, Graph Theory and Algorithms, and Software System Performance and Reliability.

Recent publications by Albonesi are:

  • "Masthead", 2020, IEEE Micro
  • "CuttleSys: Data-Driven Resource Management for Interactive Applications on Reconfigurable Multicores", 2020, arXiv (Cornell University)

Frequent co-authors collaborating with Albonesi include Neeraj Kulkarni, Gonzalo Gonzalez-Pumariega, Christine A. Shoemaker, Christina Delimitrou, and Lizy K. John.

Albonesi's work has appeared in venues such as arXiv (Cornell University) and IEEE Micro, with multiple publications in both.

In 2011, Albonesi was recognized as an IEEE Fellow for contributions to power-efficient and adaptive computer architectures.

Best Publications

  • Selective Cache Ways: On-Demand Cache Resource Allocation.

    David H. Albonesi

  • Memory hierarchy reconfiguration for energy and performance in general-purpose processor architectures

    Rajeev Balasubramonian;David Albonesi;Alper Buyuktosunoglu;Sandhya Dwarkadas

  • Energy-efficient processor design using multiple clock domains with dynamic voltage and frequency scaling

    G. Semeraro;G. Magklis;R. Balasubramonian;D.H. Albonesi

  • On-Chip Optical Interconnect Roadmap: Challenges and Critical Directions

    M. Haurylau;Guoqing Chen;Hui Chen;Jidong Zhang

  • Leveraging Optical Technology in Future Bus-based Chip Multiprocessors

    Nevin Kirman;Meyrem Kirman;Rajeev K. Dokania;Jose F. Martinez

  • Reducing the complexity of the register file in dynamic superscalar processors

    Rajeev Balasubramonian;Sandhya Dwarkadas;David H. Albonesi

  • An adaptive issue queue for reduced power at high performance

    Alper Buyuktosunoglu;Stanley Schuster;David Brooks;Pradip Bose

  • Phastlane: a rapid transit optical routing network

    Mark J. Cianchetti;Joseph C. Kerekes;David H. Albonesi

  • Profile-based dynamic voltage and frequency scaling for a multiple clock domain microprocessor

    Grigorios Magklis;Michael L. Scott;Greg Semeraro;David H. Albonesi

  • Dynamic frequency and voltage control for a multiple clock domain microarchitecture

    Greg Semeraro;David H. Albonesi;Steven G. Dropsho;Grigorios Magklis

  • Predictions of CMOS compatible on-chip optical interconnect

    Guoqing Chen;Hui Chen;Mikhail Haurylau;Nicholas Nelson

  • Dynamically tuning processor resources with adaptive processing

    D.H. Albonesi;R. Balasubramonian;S.G. Dropsbo;S. Dwarkadas

  • Multiple clock domain microprocessor

    David Albonesi;Greg Semeraro;Grigorios Magklis;Michael L. Scott

  • Scalable thread scheduling and global power management for heterogeneous many-core architectures

    Jonathan A. Winter;David H. Albonesi;Christine A. Shoemaker

  • MatRaptor: A Sparse-Sparse Matrix Multiplication Accelerator Based on Row-Wise Product

    Nitish Srivastava;Hanchen Jin;Jie Liu;David Albonesi

  • Dynamically managing the communication-parallelism trade-off in future clustered processors

    Rajeev Balasubramonian;Sandhya Dwarkadas;David H. Albonesi

  • Dynamic IPC/clock rate optimization

    David H. Albonesi

  • Integrating adaptive on-chip storage structures for reduced dynamic power

    S. Dropsho;A. Buyuktosunoglu;R. Balasubramonian;D.H. Albonesi

  • Front-end policies for improved issue efficiency in SMT processors

    A. El-Moursy;D.H. Albonesi

  • Dynamic frequency and voltage scaling for a multiple-clock-domain microprocessor

    G. Magklis;G. Semeraro;D.H. Albonesi;S.G. Dropsho

Frequent Co-Authors

Sandhya Dwarkadas
Sandhya Dwarkadas University of Rochester
Rajeev Balasubramonian
Rajeev Balasubramonian University of Utah
Alper Buyuktosunoglu
Alper Buyuktosunoglu IBM (United States)
Eby G. Friedman
Eby G. Friedman University of Rochester
Michael L. Scott
Michael L. Scott University of Rochester
Pradip Bose
Pradip Bose IBM (United States)
David Brooks
David Brooks Harvard University
Philippe M. Fauchet
Philippe M. Fauchet Vanderbilt University
Israel Koren
Israel Koren University of Massachusetts Amherst
Christine A. Shoemaker
Christine A. Shoemaker National University of Singapore

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Related Online Degrees & Career Pathways

For students pursuing Electronics and Electrical Engineering in the USA, exploring related online degrees can open additional career opportunities. Many professionals find that combining technical skills with project management expertise enhances their career prospects. Online programs, such as the project management bachelor degree, offer a solid foundation in managing complex engineering projects effectively.

For those balancing work and study, accelerated degree programs for working adults provide a flexible path to advance their education without pausing their careers. These programs often feature streamlined coursework and hands-on learning tailored to adult learners.

Students looking to expedite their studies might consider some of the fastest online project management degree options. These accelerated formats help learners quickly gain valuable credentials to step into leadership roles in engineering and technology fields.

Finally, career pathways in Electronics and Electrical Engineering can sometimes suit those who prefer quieter, focused roles. Reviewing careers for introverts can provide insight into positions that align well with introverted strengths, such as research, design, or specialized technical consulting.

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