World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
45
Citations
9304
World Ranking
5405
National Ranking
1513

Raghu N. Kacker publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Raghu N. Kacker sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 258 publications — 67th percentile

67% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Raghu N. Kacker D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Raghu N. Kacker sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 45 D-Index — 46th percentile

46% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Research.com Recognitions

  • 1994 - Fellow of the American Statistical Association (ASA)

Overview

Raghu N. Kacker is affiliated with the National Institute of Standards and Technology in the United States. Their research primarily focuses on computer science, with specific work spanning software, artificial intelligence, statistics, probability and uncertainty, computer networks and communications, and signal processing.

The scientist has contributed extensively to topics including software testing and debugging techniques, software reliability and analysis research, scientific measurement and uncertainty evaluation, sensor technology and measurement systems, advanced malware detection techniques, software engineering research, and radiation effects in electronics.

Frequent coauthors collaborating with Kacker include D. Richard Kuhn, Yu Lei, M S Raunak, Dimitris E. Simos, and Laura Freeman.

Publications have appeared often in venues such as Computer, IEEE Reliability Magazine, Empirical Software Engineering, Mathematics in Computer Science, and Measurement Sensors.

Noteworthy papers by the scientist and collaborators include:

  • How does combinatorial testing perform in the real world: an empirical study, 2020, Empirical Software Engineering
  • Input Space Coverage Matters, 2020, Computer
  • True value, error, and measurement uncertainty: two views, 2022, Accreditation and Quality Assurance
  • An exploration of combinatorial testing-based approaches to fault localization for explainable AI, 2021, Annals of Mathematics and Artificial Intelligence
  • On quantity, value, unit, and other terms in the JCGM International Vocabulary of Metrology, 2021, Measurement Science and Technology

Raghu N. Kacker was recognized as a Fellow of the American Statistical Association in 1994.

Best Publications

  • Taguchi's parameter design: a panel discussion

    Bovas Abraham;Jock MacKay;George Box;Raghu N. Kacker

  • Uncertainties in Scaling Factors for ab Initio Vibrational Frequencies

    Karl K. Irikura;Russell D. Johnson;Raghu N. Kacker

  • IPOG: A General Strategy for T-Way Software Testing

    Yu Lei;R. Kacker;D.R. Kuhn;V. Okun

  • Performance Measures Independent of Adjustment: An Explanation and Extension of Taguchi's Signal-to-Noise Ratios

    Ramón V. León;Anne C. Shoemaker;Raghu N. Kacker

  • IPOG-IPOG-D: efficient test generation for multi-way combinatorial testing

    Yu Lei;Raghu Kacker;D. Richard Kuhn;Vadim Okun

  • Performance measures independent of adjustment

    Ramón V. León;Anne C. Shoemaker;Raghu N. Kacker

  • Introduction to Combinatorial Testing

    D. Richard Kuhn;Raghu N. Kacker;Yu Lei

  • Practical Combinatorial Testing: Beyond Pairwise

    R. Kuhn;Yu Lei;R. Kacker

  • Taguchi's Orthogonal Arrays Are Classical Designs of Experiments.

    Raghu N Kacker;Eric S Lagergren;James J Filliben

  • IPOG/IPOG‐D: efficient test generation for multi‐way combinatorial testing

    Unknown

  • Practical Combinatorial Testing

    David R. Kuhn;Raghu N. Kacker;Yu Lei

  • ACTS: A Combinatorial Test Generation Tool

    Linbin Yu;Yu Lei;Raghu N. Kacker;D. Richard Kuhn

  • Refining the In-Parameter-Order Strategy for Constructing Covering Arrays

    Michael A Forbes;Michael A Forbes;Jim Lawrence;Jim Lawrence;Yu Lei;Raghu N. Kacker

  • Combinatorial Software Testing

    R. Kuhn;R. Kacker;Yu Lei;J. Hunter

  • Evolution of modern approaches to express uncertainty in measurement

    Raghu Kacker;Klaus-Dieter Sommer;Rüdiger Kessel

  • SP 800-142. Practical Combinatorial Testing

    D. Richard Kuhn;Raghu N. Kacker;Yu Lei

  • Combinatorial Methods for Event Sequence Testing

    D. RIchard Kuhn;James M. Higdon;James F. Lawrence;Raghu N. Kacker

  • Uncertainties in scaling factors for ab initio vibrational zero-point energies

    Karl K. Irikura;Russell D. Johnson;Raghu N. Kacker;Ruediger Kessel

  • An Efficient Algorithm for Constraint Handling in Combinatorial Test Generation

    Linbin Yu;Yu Lei;Mehra Nourozborazjany;Raghu N. Kacker

  • Scaling Factors and Uncertainties for ab Initio Anharmonic Vibrational Frequencies

    Russell D. Johnson;Karl K. Irikura;Raghu N. Kacker;Ruediger Kessel

  • Combinatorial Testing of ACTS: A Case Study

    Mehra N. Borazjany;Linbin Yu;Yu Lei;Raghu Kacker

  • Combinatorial Testing: Theory and Practice

    D. Richard Kuhn;Renée C. Bryce;Feng Duan;Laleh Shikh Gholamhossein Ghandehari

  • Anharmonic Vibrational Frequency Calculations Are Not Worthwhile for Small Basis Sets.

    Ruth L. Jacobsen;Russell D. Johnson;Karl K. Irikura;Raghu N. Kacker

  • A Survey of Binary Covering Arrays

    Jim Lawrence;Raghu N. Kacker;Yu Lei;D. Richard Kuhn

  • Taguchi's Fixed-Element Arrays are Fractional Factorials

    Raghu N. Kacker;Eric S. Lagergren;James J. Filliben

  • Combinatorial Methods for Event Sequence Testing

    David R. Kuhn;James M. Higdon;James F. Lawrence;Raghu N. Kacker

  • Combinatorial Testing of ACTS: A Case Study

    Mehra N. Borazjany;Linbin Yu;Yu Lei;Raghu N. Kacker

Frequent Co-Authors

D. Richard Kuhn
D. Richard Kuhn National Institute of Standards and Technology
Yu Lei
Yu Lei The University of Texas at Arlington
Joseph JaJa
Joseph JaJa University of Maryland, College Park
Tao Xie
Tao Xie Peking University
W. Eric Wong
W. Eric Wong The University of Texas at Dallas
Ram D. Sriram
Ram D. Sriram National Institute of Standards and Technology
Kishor S. Trivedi
Kishor S. Trivedi Duke University
Changyong Cao
Changyong Cao National Oceanic and Atmospheric Administration
Kwok-Leung Tsui
Kwok-Leung Tsui Virginia Tech
Ellen D. Williams
Ellen D. Williams University of Maryland, College Park

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