World's Best Scientists 2026 revealed!
Kilian Q. Weinberger

Kilian Q. Weinberger

D-Index & Metrics

Computer Science

D-Index
82
Citations
91728
World Ranking
922
National Ranking
500

Kilian Q. Weinberger 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 Kilian Q. Weinberger 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 224 publications — 55th percentile

55% of scientists in this discipline score the same or lower.

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

Kilian Q. Weinberger 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 Kilian Q. Weinberger sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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: 82 D-Index — 94th percentile

94% of scientists in this discipline score the same or lower.

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

Overview

Kilian Q. Weinberger is affiliated with Cornell University in the United States. Their research primarily falls within the field of Computer Science, with a significant focus on Artificial Intelligence and its applications. The scientist's work spans several interconnected subfields, including Computer Vision and Pattern Recognition, Automotive Engineering, Atomic and Molecular Physics and Optics, and Materials Chemistry.

The main topics of Kilian Q. Weinberger's research output include:

  • Advanced Neural Network Applications
  • Domain Adaptation and Few-Shot Learning
  • Autonomous Vehicle Technology and Safety
  • Topic Modeling
  • Natural Language Processing Techniques
  • Multimodal Machine Learning Applications
  • Human Pose and Action Recognition

The scientist has a substantial publication record, frequently contributing to venues such as:

  • arXiv (Cornell University)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Proceedings of the National Academy of Sciences

Notable recent papers include:

  • Language-driven Semantic Segmentation, 2022, arXiv (Cornell University)
  • Deep Co-Training with Task Decomposition for Semi-Supervised Domain Adaptation, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Revisiting Few-sample BERT Fine-tuning, 2020, arXiv (Cornell University)
  • Wasserstein Distances for Stereo Disparity Estimation, 2020, arXiv (Cornell University)
  • Ithaca365: Dataset and Driving Perception under Repeated and Challenging Weather Conditions, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Kilian Q. Weinberger frequently collaborates with several co-authors, including:

  • Mark Campbell
  • Bharath Hariharan
  • Wei-Lun Chao
  • Yurong You
  • Katie Z Luo

Best Publications

  • Densely Connected Convolutional Networks

    Gao Huang;Zhuang Liu;Laurens van der Maaten;Kilian Q. Weinberger

  • Distance Metric Learning for Large Margin Nearest Neighbor Classification

    Kilian Q. Weinberger;Lawrence K. Saul

  • On calibration of modern neural networks

    Chuan Guo;Geoff Pleiss;Yu Sun;Kilian Q. Weinberger

  • BERTScore: Evaluating Text Generation with BERT

    Tianyi Zhang;Varsha Kishore;Felix Wu;Kilian Q. Weinberger

  • Distance Metric Learning for Large Margin Nearest Neighbor Classification

    Kilian Q. Weinberger;John Blitzer;Lawrence K. Saul

  • Unsupervised Learning of Image Manifolds by Semidefinite Programming

    Kilian Q. Weinberger;Lawrence K. Saul

  • Deep Networks with Stochastic Depth

    Gao Huang;Yu Sun;Zhuang Liu;Daniel Sedra

  • From Word Embeddings To Document Distances

    Matt Kusner;Yu Sun;Nicholas Kolkin;Kilian Weinberger

  • Simplifying Graph Convolutional Networks

    Felix Wu;Tianyi Zhang;Amauri Holanda de Souza;Christopher Fifty

  • Pseudo-LiDAR From Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving

    Yan Wang;Wei-Lun Chao;Divyansh Garg;Bharath Hariharan

  • Feature hashing for large scale multitask learning

    Kilian Weinberger;Anirban Dasgupta;John Langford;Alex Smola

  • Compressing Neural Networks with the Hashing Trick

    Wenlin Chen;James Wilson;Stephen Tyree;Stephen Tyree;Kilian Weinberger

  • CondenseNet: An Efficient DenseNet Using Learned Group Convolutions

    Gao Huang;Shichen Liu;Laurens van der Maaten;Kilian Q. Weinberger

  • Simplifying Graph Convolutional Networks

    Felix Wu;Amauri H. Souza;Tianyi Zhang;Christopher Fifty

  • Proceedings of the 26th International Conference on Neural Information Processing Systems

    C. J. C. Burges;L. Bottou;M. Welling;Z. Ghahramani

  • Marginalized Denoising Autoencoders for Domain Adaptation

    Minmin Chen;Zhixiang Xu;Kilian Weinberger;Fei Sha

  • Snapshot Ensembles: Train 1, Get M for Free

    Gao Huang;Yixuan Li;Geoff Pleiss;Zhuang Liu

  • Learning a kernel matrix for nonlinear dimensionality reduction

    Kilian Q. Weinberger;Fei Sha;Lawrence K. Saul

  • Disruptions of network connectivity predict impairment in multiple behavioral domains after stroke

    Joshua Sarfaty Siegel;Lenny E. Ramsey;Abraham Z. Snyder;Nicholas V. Metcalf

  • Marginalized Denoising Autoencoders for Domain Adaptation

    Minmin Chen;Zhixiang Xu;Fei Sha;Kilian Q. Weinberger

  • Proceedings of the 27th International Conference on Neural Information Processing Systems - Volume 1

    Z. Ghahramani;M. Welling;C. Cortes;N. D. Lawrence

  • On Fairness and Calibration

    Geoff Pleiss;Manish Raghavan;Felix Wu;Jon M. Kleinberg

  • GPyTorch: Blackbox Matrix-Matrix Gaussian Process Inference with GPU Acceleration

    Jacob R. Gardner;Geoff Pleiss;Kilian Q. Weinberger;David Bindel

  • Feature Hashing for Large Scale Multitask Learning

    Kilian Weinberger;Anirban Dasgupta;Josh Attenberg;John Langford

Frequent Co-Authors

Gao Huang
Gao Huang Tsinghua University
Laurens van der Maaten
Laurens van der Maaten Facebook (United States)
Mark Campbell
Mark Campbell Cornell University
Lawrence K. Saul
Lawrence K. Saul University of California, San Diego
Fei Sha
Fei Sha Facebook (United States)
Yixin Chen
Yixin Chen Washington University in St. Louis
Olivier Chapelle
Olivier Chapelle Google (United States)
Andrew Gordon Wilson
Andrew Gordon Wilson New York University
Malcolm Slaney
Malcolm Slaney Stanford University
Léon Bottou
Léon Bottou Facebook (United States)

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