World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
55
Citations
9369
World Ranking
2219
National Ranking
870

Computer Science

D-Index
55
Citations
9539
World Ranking
4394
National Ranking
2051

Diana Marculescu 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 Diana Marculescu 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: 244 publications — 43rd percentile

43% of scientists in this discipline score the same or lower.

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

Diana Marculescu 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 Diana Marculescu 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: 55 D-Index — 69th percentile

69% 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

  • 2019 - ACM Fellow For contributions to the design and optimization of energy-aware computing systems
  • 2015 - IEEE Fellow For contributions to design and optimization of energy-aware computing systems
  • 2011 - ACM Distinguished Member
  • 2009 - ACM Senior Member

Overview

Diana Marculescu is affiliated with The University of Texas at Austin in the United States. The primary fields of study in their research include Computer Science and Engineering, with a particular focus on subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering, Signal Processing, and Hardware and Architecture.

Their research topics encompass Advanced Neural Network Applications, Adversarial Robustness in Machine Learning, Domain Adaptation and Few-Shot Learning, Advanced Memory and Neural Computing, Music and Audio Processing, CCD and CMOS Imaging Sensors, and Speech and Audio Processing.

Marculescu has contributed to various publication venues with a concentration of work in arXiv (Cornell University), totaling 41 publications. Other venues include Lecture Notes in Computer Science, the 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Proceedings of the AAAI Conference on Artificial Intelligence, and the IEEE Journal of Selected Topics in Signal Processing.

Selected recent papers authored or co-authored by Diana Marculescu include:

  • "Single-Path NAS: Designing Hardware-Efficient ConvNets in Less Than 4 Hours" (2020), published in Lecture Notes in Computer Science
  • "AVE-CLIP: AudioCLIP-based Multi-window Temporal Transformer for Audio Visual Event Localization" (2023), presented at the 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • "DeepNVM++: Cross-Layer Modeling and Optimization Framework of Non-Volatile Memories for Deep Learning" (2020), available on arXiv (Cornell University)
  • "SupMAE: Supervised Masked Autoencoders Are Efficient Vision Learners" (2022), available on arXiv (Cornell University)
  • "MobileTL: On-Device Transfer Learning with Inverted Residual Blocks" (2023), featured in Proceedings of the AAAI Conference on Artificial Intelligence

Frequent co-authors in their work include Tanvir Mahmud, Ting-Wu Chin, Ahmet Inci, Hung-Yueh Chiang, and Ruizhou Ding.

Marculescu has received several professional recognitions, including being named an ACM Fellow in 2019 for contributions to the design and optimization of energy-aware computing systems, IEEE Fellow status in 2015 for similar contributions, ACM Distinguished Member in 2011, and ACM Senior Member in 2009.

Best Publications

  • Analysis of dynamic voltage/frequency scaling in chip-multiprocessors

    Sebastian Herbert;Diana Marculescu

  • Electronic textiles: a platform for pervasive computing

    D. Marculescu;R. Marculescu;N.H. Zamora;P. Stanley-Marbell

  • Power and performance evaluation of globally asynchronous locally synchronous processors

    Anoop Iyer;Diana Marculescu

  • Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours

    Dimitrios Stamoulis;Ruizhou Ding;Di Wang;Dimitrios Lymberopoulos

  • The EDA Challenges in the Dark Silicon Era: Temperature, Reliability, and Variability Perspectives

    Muhammad Shafique;Siddharth Garg;Jörg Henkel;Diana Marculescu

  • Voltage-frequency island partitioning for GALS-based networks-on-chip

    Umit Y. Ogras;Radu Marculescu;Puru Choudhary;Diana Marculescu

  • MARS-C: modeling and reduction of soft errors in combinational circuits

    Natasa Miskov-Zivanov;Diana Marculescu

  • Switching Activity Analysis Considering Spatioternporal Correlations

    Radu Marculescu;Diana Marculescu;Massoud Pedram

  • Design and Management of Voltage-Frequency Island Partitioned Networks-on-Chip

    Umit Y. Ogras;Radu Marculescu;Diana Marculescu;Eun Gu Jung

  • Regularizing Activation Distribution for Training Binarized Deep Networks

    Ruizhou Ding;Ting-Wu Chin;Zeye Liu;Diana Marculescu

  • Information theoretic measures for power analysis [logic design]

    D. Marculescu;R. Marculescu;M. Pedram

  • Variation-aware dynamic voltage/frequency scaling

    Sebastian Herbert;Diana Marculescu

  • Circuit Reliability Analysis Using Symbolic Techniques

    N. Miskov-Zivanov;D. Marculescu

  • Multiple Transient Faults in Combinational and Sequential Circuits: A Systematic Approach

    N Miskov-Zivanov;D Marculescu

  • Efficient Power Estimation for Highly Correlated Input Streams

    Radu Marculescu;Diana Marculescu;Massoud Pedram

  • Towards Efficient Model Compression via Learned Global Ranking

    Ting-Wu Chin;Ruizhou Ding;Cha Zhang;Diana Marculescu

  • Probabilistic modeling of dependencies during switching activity analysis

    R. Marculescu;D. Marculescu;M. Pedram

  • Cherry-picking: exploiting process variations in dark-silicon homogeneous chip multi-processors

    Bharathwaj Raghunathan;Yatish Turakhia;Siddharth Garg;Diana Marculescu

  • Information theoretic measures of energy consumption at register transfer level

    Diana Marculescu;Radu Marculescu;Massoud Pedram

  • On the Use of Microarchitecture-Driven Dynamic Voltage Scaling

    Diana Marculescu

Frequent Co-Authors

Radu Marculescu
Radu Marculescu The University of Texas at Austin
Partha Pratim Pande
Partha Pratim Pande Washington State University
Massoud Pedram
Massoud Pedram University of Southern California
Umit Y. Ogras
Umit Y. Ogras University of Wisconsin–Madison
Dimitrios Lymberopoulos
Dimitrios Lymberopoulos Microsoft (United States)
Cha Zhang
Cha Zhang Microsoft (United States)
Jie Liu
Jie Liu Harbin Institute of Technology
Chi-Ying Tsui
Chi-Ying Tsui Hong Kong University of Science and Technology
Pradeep K. Khosla
Pradeep K. Khosla University of California, San Diego
Yao-Wen Chang
Yao-Wen Chang National Taiwan University

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