World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
61
Citations
12861
World Ranking
1560
National Ranking
634

Computer Science

D-Index
63
Citations
13448
World Ranking
2793
National Ranking
1382

Tajana Rosing 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 Tajana Rosing 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: 276 publications — 52nd percentile

52% of scientists in this discipline score the same or lower.

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

Tajana Rosing 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 Tajana Rosing 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: 61 D-Index — 78th percentile

78% 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

  • 2018 - IEEE Fellow For contributions to power and reliability management of Systems-on-Chip

Overview

Tajana Rosing is affiliated with the University of California, San Diego in the United States. Their research spans multiple areas within computer science and engineering, focusing on topics such as ferroelectric and negative capacitance devices, advanced memory and neural computing, and parallel computing and optimization techniques.

Their work is published extensively, with 85 publications in computer science and 64 in engineering. Subfields of particular emphasis include electrical and electronic engineering, artificial intelligence, computer networks and communications, computer vision and pattern recognition, and hardware and architecture.

Recent papers by Tajana Rosing include:

  • A Theoretical Perspective on Hyperdimensional Computing, 2021, Journal of Artificial Intelligence Research
  • Accelerating Hyperdimensional Computing on FPGAs by Exploiting Computational Reuse, 2020, IEEE Transactions on Computers
  • AdaFilter: Adaptive Filter Fine-Tuning for Deep Transfer Learning, 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • Safer at school early alert: an observational study of wastewater and surface monitoring to detect COVID-19 in elementary schools, 2023, The Lancet Regional Health - Americas
  • Optimizing Sensor Deployment and Maintenance Costs for Large-Scale Environmental Monitoring, 2020, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

Frequent co-authors of Tajana Rosing are Weihong Xu, Behnam Khaleghi, Xiaofan Yu, Jaeyoung Kang, and Saransh Gupta.

Their research has been published numerous times in venues such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  • 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE)
  • IEEE Transactions on Computers
  • Proceedings of the AAAI Conference on Artificial Intelligence

The main topics covered by Tajana Rosing include:

  • Ferroelectric and Negative Capacitance Devices
  • Advanced Memory and Neural Computing
  • Advanced Data Storage Technologies
  • Parallel Computing and Optimization Techniques
  • Neural Networks and Reservoir Computing
  • Cryptography and Data Security
  • Distributed and Parallel Computing Systems

In 2018, Tajana Rosing was named an IEEE Fellow for contributions to power and reliability management of Systems-on-Chip.

Best Publications

  • PDRAM: a hybrid PRAM and DRAM main memory system

    Gaurav Dhiman;Raid Ayoub;Tajana Rosing

  • Energy Harvesting for Structural Health Monitoring Sensor Networks

    Gyuhae Park;Tajana Rosing;Michael D. Todd;Charles R. Farrar

  • SpotTune: Transfer Learning Through Adaptive Fine-Tuning

    Yunhui Guo;Honghui Shi;Abhishek Kumar;Kristen Grauman

  • Integrating microsecond circuit switching into the data center

    George Porter;Richard Strong;Nathan Farrington;Alex Forencich

  • Temperature aware task scheduling in MPSoCs

    Ayse Kivilcim Coskun;Tajana Simunic Rosing;Keith Whisnant

  • Prediction and management in energy harvested wireless sensor nodes

    Joaquin Recas Piorno;Carlo Bergonzini;David Atienza;Tajana Simunic Rosing

  • Utilizing green energy prediction to schedule mixed batch and service jobs in data centers

    Baris Aksanli;Jagannathan Venkatesh;Liuyi Zhang;Tajana Rosing

  • A Broader Study of Cross-Domain Few-Shot Learning

    Yunhui Guo;Noel C. Codella;Leonid Karlinsky;James V. Codella

  • Managing distributed ups energy for effective power capping in data centers

    Vasileios Kontorinis;Liuyi Eric Zhang;Baris Aksanli;Jack Sampson

  • Dynamic thermal management in 3D multicore architectures

    Ayse K. Coskun;Jose L. Ayala;David Atienza;Tajana Simunic Rosing

  • VoiceHD: Hyperdimensional Computing for Efficient Speech Recognition

    Mohsen Imani;Deqian Kong;Abbas Rahimi;Tajana Rosing

  • Exploring Hyperdimensional Associative Memory

    Mohsen Imani;Abbas Rahimi;Deqian Kong;Tajana Rosing

  • Application-driven method and apparatus for limiting power consumption in a processor-controlled hardware platform

    Andrea Acquaviva;Luca Benini;Tajana S. Rosing

  • Dynamic voltage frequency scaling for multi-tasking systems using online learning

    Gaurav Dhiman;Tajana Simunic Rosing

  • FloatPIM: in-memory acceleration of deep neural network training with high precision

    Mohsen Imani;Saransh Gupta;Yeseong Kim;Tajana Rosing

  • Underdesigned and Opportunistic Computing in Presence of Hardware Variability

    P. Gupta;Y. Agarwal;L. Dolecek;N. Dutt

  • Utilizing Predictors for Efficient Thermal Management in Multiprocessor SoCs

    A.K. Coskun;T.S. Rosing;K.C. Gross

  • Evaluating the impact of job scheduling and power management on processor lifetime for chip multiprocessors

    Ayse K. Coskun;Richard Strong;Dean M. Tullsen;Tajana Simunic Rosing

  • vGreen: a system for energy efficient computing in virtualized environments

    Gaurav Dhiman;Giacomo Marchetti;Tajana Rosing

  • A system for online power prediction in virtualized environments using Gaussian mixture models

    Gaurav Dhiman;Kresimir Mihic;Tajana Rosing

  • FELIX: fast and energy-efficient logic in memory

    Saransh Gupta;Mohsen Imani;Tajana Rosing

Frequent Co-Authors

Mohsen Imani
Mohsen Imani University of California, San Diego
Ayse K. Coskun
Ayse K. Coskun Boston University
Abbas Rahimi
Abbas Rahimi IBM (United States)
Luca Benini
Luca Benini ETH Zurich
David Atienza
David Atienza École Polytechnique Fédérale de Lausanne
Charles R. Farrar
Charles R. Farrar Los Alamos National Laboratory
Farinaz Koushanfar
Farinaz Koushanfar University of California, San Diego
Michael D. Todd
Michael D. Todd University of California, San Diego
Gyuhae Park
Gyuhae Park Chonnam National University
Nikil Dutt
Nikil Dutt University of California, Irvine

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