World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
59
Citations
13224
World Ranking
3439
National Ranking
1662

Janak H. Patel 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 Janak H. Patel 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: 219 publications — 53rd percentile

53% of scientists in this discipline score the same or lower.

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

Janak H. Patel 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 Janak H. Patel 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: 59 D-Index — 77th percentile

77% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2001 - ACM Fellow For his outstanding contributions to the fields of test generation and fault simulation of sequential circuits, cache consistency protocols, interconnection networks, and error detection.

Overview

What is he best known for?

The fields of study he is best known for:

  • Operating system
  • Algorithm
  • Programming language

His primary scientific interests are in Parallel computing, Fault coverage, Algorithm, Automatic test pattern generation and Sequential logic. His work on Cache and Multiprocessing as part of general Parallel computing research is often related to Reliability theory, thus linking different fields of science. His Fault coverage study integrates concerns from other disciplines, such as Very-large-scale integration, Testability and Stuck-at fault.

His Algorithm study incorporates themes from Word and Data scrubbing. His work on Test compression as part of general Automatic test pattern generation study is frequently linked to Traverse, therefore connecting diverse disciplines of science. His study in Sequential logic is interdisciplinary in nature, drawing from both Fault Simulator, Genetic algorithm and State.

His most cited work include:

  • HITEC: a test generation package for sequential circuits (625 citations)
  • A low-overhead coherence solution for multiprocessors with private cache memories (444 citations)
  • Test set compaction algorithms for combinational circuits (429 citations)

What are the main themes of his work throughout his whole career to date?

The scientist’s investigation covers issues in Algorithm, Sequential logic, Automatic test pattern generation, Fault coverage and Stuck-at fault. His Algorithm research focuses on Very-large-scale integration and how it connects with Speedup. His biological study spans a wide range of topics, including Genetic algorithm, State, Benchmark, Parallel computing and Fault Simulator.

Janak H. Patel works on Automatic test pattern generation which deals in particular with Test compression. His research on Fault coverage also deals with topics like

  • Electronic engineering which intersects with area such as Digital electronics,
  • Testability which connect with Design for testing and Logic synthesis. His Stuck-at fault research includes elements of Process, Logic simulation, Real-time computing, Fault model and Fault indicator.

He most often published in these fields:

  • Algorithm (40.96%)
  • Sequential logic (34.94%)
  • Automatic test pattern generation (33.73%)

What were the highlights of his more recent work (between 1998-2014)?

  • Algorithm (40.96%)
  • Automatic test pattern generation (33.73%)
  • Test compression (16.87%)

In recent papers he was focusing on the following fields of study:

His main research concerns Algorithm, Automatic test pattern generation, Test compression, Fault coverage and Sequential logic. His Algorithm study incorporates themes from Upper and lower bounds and Benchmark. His studies in Automatic test pattern generation integrate themes in fields like Combinational logic, Very-large-scale integration, Directed graph and Stuck-at fault.

The concepts of his Test compression study are interwoven with issues in Computer hardware, Reduction, Built-in self-test, Scan chain and Test data. His Fault coverage research is multidisciplinary, incorporating perspectives in Overhead and Set. His Sequential logic study combines topics in areas such as State, Fault Simulator, Current, Tree traversal and Test set.

Between 1998 and 2014, his most popular works were:

  • Reducing test application time for full scan embedded cores (331 citations)
  • The effect of a multicomponent multidisciplinary bundle of interventions on sleep and delirium in medical and surgical intensive care patients (148 citations)
  • A case study on the implementation of the Illinois Scan Architecture (128 citations)

In his most recent research, the most cited papers focused on:

  • Operating system
  • Algorithm
  • Programming language

Automatic test pattern generation, Algorithm, Test compression, Test data and Very-large-scale integration are his primary areas of study. The Automatic test pattern generation study combines topics in areas such as Control reconfiguration and Embedded system. In the field of Algorithm, his study on Directed acyclic graph, Graph traversal and Directed graph overlaps with subjects such as Small number and Traverse.

His Test compression study is concerned with the field of Fault coverage as a whole. His Test data research incorporates elements of System testing, Computer engineering and Scan chain, Integrated circuit. The study incorporates disciplines such as Boolean satisfiability problem, Combinational logic, Redundancy and Stuck-at fault in addition to Very-large-scale integration.

Best Publications

  • HITEC: a test generation package for sequential circuits

    Thomas Niermann;Janak H. Patel

  • A low-overhead coherence solution for multiprocessors with private cache memories

    Mark S. Papamarcos;Janak H. Patel

  • Test set compaction algorithms for combinational circuits

    Ilker Hamzaoglu;Janak H. Patel

  • PROOFS: a fast, memory-efficient sequential circuit fault simulator

    T.M. Niermann;Wu-Tung Cheng;J.H. Patel

  • Stride directed prefetching in scalar processors

    John W. C. Fu;Janak H. Patel;Bob L. Janssens

  • Reducing test application time for full scan embedded cores

    I. Hamzaoglu;J.H. Patel

  • New Techniques for Deterministic Test Pattern Generation

    Ilker Hamzaoglu;Janak H. Patel

  • Reliability of scrubbing recovery-techniques for memory systems

    A.M. Saleh;J.J. Serrano;J.H. Patel

  • Sequential Circuit Test Generation in a Genetic Algorithm Framework

    Elizabeth M. Rudnick;Janak H. Patel;Gary S. Greenstein;Thomas M. Niermann

  • Accurate low-cost methods for performance evaluation of cache memory systems

    S. Laha;J.H. Patel;R.K. Iyer

  • Sequential circuit test generation using dynamic state traversal

    Michael S. Hsiao;Elizabeth M. Rudnick;Janak H. Patel

  • Data prefetching in multiprocessor vector cache memories

    John W. C. Fu;Janak H. Patel

  • An optimization based approach to the partial scan design problem

    V. Chickermane;J.H. Patel

  • A case study on the implementation of the Illinois Scan Architecture

    F.F. Hsu;K.M. Butler;J.H. Patel

  • A gate-level simulation environment for alpha-particle-induced transient faults

    Hungse Cha;E.M. Rudnick;J.H. Patel;R.K. Iyer

  • Processor-memory interconnections for multiprocessors

    Janak H. Patel

  • A fault oriented partial scan design approach

    V. Chickermane;J.H. Patel

  • Segment delay faults: a new fault model

    K. Heragu;J.H. Patel;V.D. Agrawal

  • Application of Saluja-Karpovsky compactors to test responses with many unknowns

    J.H. Patel;S.S. Lumetta;S.M. Reddy

  • Error recovery in shared memory multiprocessors using private caches

    K.-L. Wu;W.K. Fuchs;J.H. Patel

Frequent Co-Authors

Michael S. Hsiao
Michael S. Hsiao Virginia Tech
Alok Choudhary
Alok Choudhary Northwestern University
Jacob A. Abraham
Jacob A. Abraham The University of Texas at Austin
W.K. Fuchs
W.K. Fuchs University of Florida
Prithviraj Banerjee
Prithviraj Banerjee Ansys (United States)
Vishwani D. Agrawal
Vishwani D. Agrawal Auburn University
Narendra Ahuja
Narendra Ahuja University of Illinois at Urbana-Champaign
Ravishankar K. Iyer
Ravishankar K. Iyer University of Illinois at Urbana-Champaign
Wu-Tung Cheng
Wu-Tung Cheng Mentor Graphics
Pinaki Mazumder
Pinaki Mazumder University of Michigan–Ann Arbor

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