World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
45
Citations
7609
World Ranking
7253
National Ranking
3164

James C. Hoe 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 James C. Hoe 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: 162 publications — 32nd percentile

32% of scientists in this discipline score the same or lower.

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

James C. Hoe 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 James C. Hoe 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: 45 D-Index — 51st percentile

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

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

Overview

James C. Hoe is affiliated with Carnegie Mellon University in the United States. Their research contributions primarily focus on computer science, with particular emphasis in several subfields and main topics.

The scientist's work spans areas such as computer networks and communications, artificial intelligence, information systems and management, computational mathematics, and aerospace engineering. Key topics of interest include software-defined networks and 5G, scientific computing and data management, seismology and earthquake studies, tensor decomposition and applications, radar systems and signal processing, numerical methods and algorithms, as well as network security and intrusion detection.

Recent publications demonstrate a breadth of engagement in technical and interdisciplinary research. Selected recent papers include:

  • "Zoom Out: Abstractions for Efficient Radar Algorithms on COTS architectures," 2022, published in the 2022 IEEE International Symposium on Phased Array Systems & Technology (PAST)
  • "Exploiting the Common Case When Accelerating Input-Dependent Stream Processing by FPGA," 2022, IEEE Transactions on Computers
  • "Perspectives on AI Architectures and Codesign for Earth System Predictability," 2023, Artificial Intelligence for the Earth Systems
  • "A Roadmap for Enabling a Future-Proof In-Network Computing Data Plane Ecosystem," 2021, arXiv (Cornell University)
  • "Perspectives on AI Architectures and Co-design for Earth System Predictability," 2023, arXiv (Cornell University)

The scientist frequently publishes in venues such as arXiv (Cornell University), the IEEE International Symposium on Phased Array Systems & Technology, IEEE Transactions on Computers, Artificial Intelligence for the Earth Systems, and IEEE Micro.

James C. Hoe collaborates with several researchers, with frequent coauthors including Maruti Kumar Mudunuru, James Ang, Mahantesh Halappanavar, Simon David Hammond, and Maya Gokhale. Each of these collaborators has coauthored multiple works alongside the scientist.

Best Publications

  • SMARTS: accelerating microarchitecture simulation via rigorous statistical sampling

    Roland E. Wunderlich;Thomas F. Wenisch;Babak Falsafi;James C. Hoe

  • SimFlex: Statistical Sampling of Computer System Simulation

    T.F. Wenisch;R.E. Wunderlich;M. Ferdman;A. Ailamaki

  • Multi-bit Error Tolerant Caches Using Two-Dimensional Error Coding

    Jangwoo Kim;Nikos Hardavellas;Ken Mai;Babak Falsafi

  • Single-Chip Heterogeneous Computing: Does the Future Include Custom Logic, FPGAs, and GPGPUs?

    Eric S. Chung;Peter A. Milder;James C. Hoe;Ken Mai

  • Dual use of superscalar datapath for transient-fault detection and recovery

    Joydeep Ray;James C. Hoe;Babak Falsafi

  • CONNECT: re-examining conventional wisdom for designing nocs in the context of FPGAs

    Michael K. Papamichael;James C. Hoe

  • RAMP: Research Accelerator for Multiple Processors

    J. Wawrzynek;D. Patterson;M. Oskin;Shin-Lien Lu

  • Data reorganization in memory using 3D-stacked DRAM

    Berkin Akin;Franz Franchetti;James C. Hoe

  • Fingerprinting: bounding soft-error detection latency and bandwidth

    Jared C. Smolens;Brian T. Gold;Jangwoo Kim;Babak Falsafi

  • SimFlex: a fast, accurate, flexible full-system simulation framework for performance evaluation of server architecture

    Nikolaos Hardavellas;Stephen Somogyi;Thomas F. Wenisch;Roland E. Wunderlich

  • Reunion: Complexity-Effective Multicore Redundancy

    Jared C. Smolens;Brian T. Gold;Babak Falsafi;James C. Hoe

  • CoRAM: an in-fabric memory architecture for FPGA-based computing

    Eric S. Chung;James C. Hoe;Ken Mai

  • Computer Generation of Hardware for Linear Digital Signal Processing Transforms

    Peter Milder;Franz Franchetti;James C. Hoe;Markus Püschel

  • A 3D-stacked logic-in-memory accelerator for application-specific data intensive computing

    Qiuling Zhu;Berkin Akin;H. Ekin Sumbul;Fazle Sadi

  • GraphGen: An FPGA Framework for Vertex-Centric Graph Computation

    Eriko Nurvitadhi;Gabriel Weisz;Yu Wang;Skand Hurkat

  • ProtoFlex: Towards Scalable, Full-System Multiprocessor Simulations Using FPGAs

    Eric S. Chung;Michael K. Papamichael;Eriko Nurvitadhi;James C. Hoe

  • Commercial Antivirus Software Effectiveness: An Empirical Study

    Orathai Sukwong;Hyong S Kim;James C Hoe

  • Hardware Synthesis from Term Rewriting Systems

    James C. Hoe;Arvind

  • Time-Multiplexed Multiple-Constant Multiplication

    P.. Tummeltshammer;J.C. Hoe;M.. Puschel

  • SPIRAL: Extreme Performance Portability

    Franz Franchetti;Tze Meng Low;Doru Thom Popovici;Richard M. Veras

  • Detecting Emerging Wearout Faults

    Jared C. Smolens;Brian T. Gold;James C. Hoe;Babak Falsafi

Frequent Co-Authors

Babak Falsafi
Babak Falsafi École Polytechnique Fédérale de Lausanne
Franz Franchetti
Franz Franchetti Carnegie Mellon University
Robert I. Killey
Robert I. Killey University College London
Thomas F. Wenisch
Thomas F. Wenisch University of Michigan–Ann Arbor
Ken Mai
Ken Mai Carnegie Mellon University
Krste Asanovic
Krste Asanovic University of California, Berkeley
Larry Pileggi
Larry Pileggi Carnegie Mellon University
Jose M. F. Moura
Jose M. F. Moura Carnegie Mellon University

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