World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
36
Citations
18414
World Ranking
8538
National Ranking
2352

Brian Kulis 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 Brian Kulis 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: 77 publications — 3rd percentile

3% of scientists in this discipline score the same or lower.

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

Brian Kulis 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 Brian Kulis 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: 36 D-Index — 13th percentile

13% of scientists in this discipline score the same or lower.

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

Overview

Brian Kulis is affiliated with Boston University in the United States, contributing to research primarily in the field of computer science. Their work encompasses extensive publications across various subfields and topics related to artificial intelligence and signal processing.

The researcher has produced a number of papers focusing on diverse areas of computer science. Notable recent publications include:

  • Runtime Performance Anomaly Diagnosis in Production HPC Systems Using Active Learning, 2024, IEEE Transactions on Parallel and Distributed Systems
  • Deep Divergence Learning, 2020, arXiv (Cornell University)
  • Joint Bilateral Learning for Real-time Universal Photorealistic Style Transfer, 2020, arXiv (Cornell University)
  • Piecewise Linear Regression via a Difference of Convex Functions, 2020, arXiv (Cornell University)
  • Real-time Localized Photorealistic Video Style Transfer, 2020, arXiv (Cornell University)

Their frequent coauthors include:

  • Christopher Liao
  • Theodoros Tsiligkaridis
  • Mohammad Omar Khursheed
  • Christin Jose
  • Xide Xia

Brian Kulis has published extensively in venues such as:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • IEEE Transactions on Parallel and Distributed Systems
  • 2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)
  • Interspeech 2022

Their research is anchored primarily in computer science with a focus on several subfields including:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Signal Processing
  • Computer Networks and Communications
  • Statistics and Probability

The main topics covered in their work include:

  • Music and Audio Processing
  • Generative Adversarial Networks and Image Synthesis
  • Speech and Audio Processing
  • Image Enhancement Techniques
  • Advanced Image Processing Techniques
  • Anomaly Detection Techniques and Applications
  • Domain Adaptation and Few-Shot Learning

Best Publications

  • Adapting visual category models to new domains

    Kate Saenko;Brian Kulis;Mario Fritz;Trevor Darrell

  • Information-theoretic metric learning

    Jason V. Davis;Brian Kulis;Prateek Jain;Suvrit Sra

  • Kernel k-means: spectral clustering and normalized cuts

    Inderjit S. Dhillon;Yuqiang Guan;Brian Kulis

  • Weighted Graph Cuts without Eigenvectors A Multilevel Approach

    I.S. Dhillon;Yuqiang Guan;B. Kulis

  • Kernelized locality-sensitive hashing for scalable image search

    Brian Kulis;Kristen Grauman

  • Learning to Hash with Binary Reconstructive Embeddings

    Brian Kulis;Trevor Darrell

  • Metric Learning: A Survey

    Brian Kulis

  • Semi-supervised graph clustering: a kernel approach

    Brian Kulis;Sugato Basu;Inderjit Dhillon;Raymond Mooney

  • What you saw is not what you get: Domain adaptation using asymmetric kernel transforms

    Brian Kulis;Kate Saenko;Trevor Darrell

  • Tracking evolving communities in large linked networks

    John Hopcroft;Omar Khan;Brian Kulis;Bart Selman

  • Kernelized Locality-Sensitive Hashing

    B. Kulis;K. Grauman

  • Fast image search for learned metrics

    P. Jain;B. Kulis;K. Grauman

  • Revisiting k-means: New Algorithms via Bayesian Nonparametrics

    Brian Kulis;Michael I. Jordan

  • Fast Similarity Search for Learned Metrics

    B. Kulis;P. Jain;K. Grauman

  • Low-Rank Kernel Learning with Bregman Matrix Divergences

    Brian Kulis;Mátyás A. Sustik;Inderjit S. Dhillon

  • W-Net: A Deep Model for Fully Unsupervised Image Segmentation

    Xide Xia;Brian Kulis

  • Deep Metric Learning to Rank

    Fatih Cakir;Kun He;Xide Xia;Brian Kulis

  • Online Metric Learning and Fast Similarity Search

    Prateek Jain;Brian Kulis;Inderjit S. Dhillon;Kristen Grauman

  • Learning low-rank kernel matrices

    Brian Kulis;Mátyás Sustik;Inderjit Dhillon

  • Discovering Latent Domains for Multisource Domain Adaptation

    Judy Hoffman;Brian Kulis;Trevor Darrell;Kate Saenko

Frequent Co-Authors

Inderjit S. Dhillon
Inderjit S. Dhillon Google (United States)
Kate Saenko
Kate Saenko Boston University
Prateek Jain
Prateek Jain Google (United States)
Trevor Darrell
Trevor Darrell University of California, Berkeley
Kristen Grauman
Kristen Grauman The University of Texas at Austin
Michael I. Jordan
Michael I. Jordan University of California, Berkeley
Venkatesh Saligrama
Venkatesh Saligrama Boston University
David A. Castanon
David A. Castanon Boston University

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