World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
5620
World Ranking
8960
National Ranking
3809

Bill Lin 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 Bill Lin 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: 213 publications — 51st percentile

51% of scientists in this discipline score the same or lower.

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

Bill Lin 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 Bill Lin 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: 41 D-Index — 40th percentile

40% of scientists in this discipline score the same or lower.

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

Overview

Bill Lin is affiliated with the University of California, San Diego in the United States and has a research focus primarily in computer science and engineering. Their work spans multiple subfields, including artificial intelligence, electrical and electronic engineering, computer vision and pattern recognition, computer networks and communications, and hardware and architecture.

The scientist's research topics cover a variety of areas such as topic modeling, natural language processing techniques, machine learning and data classification, photonic and optical devices, privacy-preserving technologies in data, VLSI and FPGA design techniques, and neural networks and reservoir computing.

Bill Lin has contributed to numerous publications across reputable venues. Frequent publication venues include:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Transactions on Artificial Intelligence
  • ACM Transactions on Architecture and Code Optimization
  • IEEE Open Journal of the Computer Society

Significant recent papers authored or co-authored by Bill Lin include:

  • "Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models," 2022, arXiv (Cornell University)
  • "FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks," 2022, Findings of the Association for Computational Linguistics: NAACL
  • "Efficient Distribution Similarity Identification in Clustered Federated Learning via Principal Angles between Client Data Subspaces," 2023, Proceedings of the AAAI Conference on Artificial Intelligence
  • "FLIS: Clustered Federated Learning Via Inference Similarity for Non-IID Data Distribution," 2023, IEEE Open Journal of the Computer Society
  • "Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks," 2023, IEEE Transactions on Artificial Intelligence

Bill Lin's research collaborations include frequent co-authors such as:

  • Chung-Kuan Cheng
  • Xiang Ren
  • Daeyeal Lee
  • Mahdi Morafah
  • Weijia Wang

The body of research contributed by Bill Lin reflects a sustained involvement in advancing federated learning methodologies, natural language processing, and machine learning techniques, along with applications in hardware design and privacy technologies.

Best Publications

  • Implicit state enumeration of finite state machines using BDD's

    H.J. Touati;H. Savoj;B. Lin;R.K. Brayton

  • Power estimation methods for sequential logic circuits

    Chi-Ying Tsui;J. Monteiro;Massoud Pedram;Srinivas Devadas

  • Hardware/software co-design of digital telecommunication systems

    I. Bolsens;H.J. De Man;B. Lin;K. Van Rompaey

  • A Methodology for Efficient Estimation of Switching Activity in Sequential Logic Circuits

    José Monteiro;Srinivas Devadas;Bill Lin

  • ORION3.0: A Comprehensive NoC Router Estimation Tool

    Andrew B. Kahng;Bill Lin;Siddhartha Nath

  • Basic Gate Implementation of Speed-Independendent Circuits

    A. Kondratyev;M. Kishinevsky;B. Lin;P. Vanbekbergen

  • Fast and scalable priority queue architecture for high-speed network switches

    R. Bhagwan;B. Lin

  • MINIMALIST: An Environment for the Synthesis, Verification and Testability of Burst-Mode Asynchronous Machines

    Robert M. Fuhrer;Steven M. Nowick;Michael Theobald;Niraj K. Jha

  • A generalized state assignment theory for transformations on signal transition graphs

    Peter Vanbekbergen;Bill Lin;Gert Goossens;Hugo De Man

  • Constructing application-specific heterogeneous embedded architectures from custom HW/SW applications

    S. Vercauteren;B. Lin;H. De Man

  • Minimization of symbolic relations

    B. Lin;F. Somenzi

  • MUSE: a multilevel symbolic encoding algorithm for state assignment

    X. Du;G. Hachtel;B. Lin;A.R. Newton

  • Design of a High-Throughput Distributed Shared-Buffer NoC Router

    Rohit Sunkam Ramanujam;Vassos Soteriou;Bill Lin;Li-Shiuan Peh

  • Don't care minimization of multi-level sequential logic networks

    B. Lin;H.J. Touati;A.R. Newton

  • Destination-based adaptive routing on 2D mesh networks

    Rohit Sunkam Ramanujam;Bill Lin

  • A generalized state assignment theory for transformations on signal transition graphs

    Peter Vanbekbergen;Bill Lin;Gert Goosens;Hugo De Man

  • Synthesis of concurrent system interface modules with automatic protocol conversion generation

    Bill Lin;Steven Vercauteren

  • Flow graph balancing for minimizing the required memory bandwidth

    S. Wuytack;F. Catthoor;G. de Jong;B. Lin

  • Personalized Federated Learning by Structured and Unstructured Pruning under Data Heterogeneity

    Saeed Vahidian;Mahdi Morafah;Bill Lin

  • Software synthesis of process-based concurrent programs

    Bill Lin

  • A High-Throughput Distributed Shared-Buffer NoC Router

    V. Soteriou;R.S. Ramanujam;B. Lin;Li-Shiuan Peh

Frequent Co-Authors

Jun Xu
Jun Xu Georgia Institute of Technology
H. De Man
H. De Man KU Leuven
A.R. Newton
A.R. Newton University of California, Berkeley
Andrew B. Kahng
Andrew B. Kahng University of California, San Diego
Chung-Kuan Cheng
Chung-Kuan Cheng University of California, San Diego
Subhabrata Sen
Subhabrata Sen AT&T (United States)
Chi-Ying Tsui
Chi-Ying Tsui Hong Kong University of Science and Technology
Massoud Pedram
Massoud Pedram University of Southern California

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