World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
52
Citations
11327
World Ranking
5063
National Ranking
2352

Robert P. Dick publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Robert P. Dick sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 180 publications — 38th percentile

38% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Robert P. Dick D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Robert P. Dick sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 52 D-Index — 65th percentile

65% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Robert P. Dick is affiliated with the University of Michigan-Ann Arbor in the United States. Their research contributions are primarily within the field of Computer Science, with a strong focus on Artificial Intelligence and Computer Vision and Pattern Recognition. They have an extensive publication record that spans areas such as Environmental Engineering, Electrical and Electronic Engineering, and Computer Networks and Communications.

Key research topics addressed in their work include:

  • Topic Modeling
  • Domain Adaptation and Few-Shot Learning
  • Multimodal Machine Learning Applications
  • Explainable Artificial Intelligence (XAI)
  • Gaze Tracking and Assistive Technology
  • Visual Attention and Saliency Detection
  • AI in Service Interactions

Robert P. Dick has contributed to multiple publication venues, most notably:

  • arXiv (Cornell University)
  • Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
  • Computer
  • 2022 IEEE International Conference on Image Processing (ICIP)
  • IEEE Sensors Journal

The following are examples of their recent published papers:

  • "Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering," 2022, arXiv (Cornell University)
  • "A Gradient Flow Framework For Analyzing Network Pruning," 2020, arXiv (Cornell University)
  • "Do Smart Glasses Dream of Sentimental Visions?," 2022, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
  • "Beyond BatchNorm: Towards a Unified Understanding of Normalization in Deep Learning," 2021, arXiv (Cornell University)
  • "Can Large Language Models Be Good Companions? An LLM-Based Eyewear System with Conversational Common Ground," 2023, Strathprints: The University of Strathclyde institutional repository (University of Strathclyde)

Robert P. Dick frequently collaborates with a set of co-authors, including:

  • Ekdeep Singh Lubana
  • Tun Lu
  • Hidenori Tanaka
  • Mingzhi Dong
  • Qin Lv

These collaborations and publication venues reflect a specialization in both the theoretical and applied aspects of computer science, with relevance to emerging interfaces such as wearable technologies and federated learning systems.

Best Publications

  • Accurate online power estimation and automatic battery behavior based power model generation for smartphones

    Lide Zhang;Birjodh Tiwana;Robert P. Dick;Zhiyun Qian

  • TGFF: task graphs for free

    Robert P. Dick;David L. Rhodes;Wayne Wolf

  • Demo: indoor localization without infrastructure using the acoustic background spectrum

    Stephen P. Tarzia;Peter A. Dinda;Robert P. Dick;Gokhan Memik

  • Temperature-Aware Scheduling and Assignment for Hard Real-Time Applications on MPSoCs

    T. Chantem;X. S. Hu;R. P. Dick

  • MOGAC: a multiobjective genetic algorithm for hardware-software cosynthesis of distributed embedded systems

    R.P. Dick;N.K. Jha

  • The next generation of low-cost personal air quality sensors for quantitative exposure monitoring

    R. Piedrahita;Y. Xiang;N. Masson;J. Ortega

  • Accurate temperature-dependent integrated circuit leakage power estimation is easy

    Yongpan Liu;Robert P. Dick;Li Shang;Huazhong Yang

  • Three-Dimensional Chip-Multiprocessor Run-Time Thermal Management

    Changyun Zhu;Zhenyu Gu;Li Shang;R.P. Dick

  • ARIEL: automatic wi-fi based room fingerprinting for indoor localization

    Yifei Jiang;Xin Pan;Kun Li;Qin Lv

  • Temperature-aware scheduling and assignment for hard real-time applications on MPSoCs

    Thidapat Chantem;Robert P. Dick;X. Sharon Hu

  • C-Pack: A High-Performance Microprocessor Cache Compression Algorithm

    Xi Chen;Lei Yang;Robert P Dick;Li Shang

  • ISAC: Integrated Space-and-Time-Adaptive Chip-Package Thermal Analysis

    Yonghong Yang;Zhenyu Gu;Changyun Zhu;R.P. Dick

  • Power, Thermal, and Reliability Modeling in Nanometer-Scale Microprocessors

    D. Brooks;Robert P. Dick;Russ Joseph;Li Shang

  • Thermal vs Energy Optimization for DVFS-Enabled Processors in Embedded Systems

    Yongpan Liu;Huazhong Yang;R.P. Dick;H. Wang

  • Cache contention and application performance prediction for multi-core systems

    Chi Xu;Xi Chen;Robert P. Dick;Zhuoqing Morley Mao

  • Hallway based automatic indoor floorplan construction using room fingerprints

    Yifei Jiang;Yun Xiang;Xin Pan;Kun Li

  • Adaptive analysis methods

    Li Shang;Yonghong Yang;Robert P. Dick

  • CORDS: hardware-software co-synthesis of reconfigurable real-time distributed embedded systems

    Robert P. Dick;Niraj K. Jha

  • Aggregate Characterization of User Behavior in Twitter and Analysis of the Retweet Graph

    David R. Bild;Yue Liu;Robert P. Dick;Z. Morley Mao

  • MAQS: a personalized mobile sensing system for indoor air quality monitoring

    Yifei Jiang;Kun Li;Lei Tian;Ricardo Piedrahita

  • MOGAC: a multiobjective genetic algorithm for the co-synthesis of hardware-software embedded systems

    Robert P. Dick;Niraj K. Jha

Frequent Co-Authors

Li Shang
Li Shang University of Colorado Boulder
Peter A. Dinda
Peter A. Dinda Northwestern University
Qin Lv
Qin Lv University of Colorado Boulder
George J. Brewer
George J. Brewer University of Michigan–Ann Arbor
Gokhan Memik
Gokhan Memik Northwestern University
Niraj K. Jha
Niraj K. Jha Princeton University
Michael P. Hannigan
Michael P. Hannigan University of Colorado Boulder
Z. Morley Mao
Z. Morley Mao University of Michigan–Ann Arbor
Dan S. Wallach
Dan S. Wallach Rice University
Xiaobo Sharon Hu
Xiaobo Sharon Hu University of Notre Dame

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