World's Best Scientists 2026 revealed!
Jean-François Lalonde

Jean-François Lalonde

D-Index & Metrics

Computer Science

D-Index
40
Citations
6122
World Ranking
9362
National Ranking
370

Jean-François Lalonde 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 Jean-François Lalonde 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: 120 publications — 15th percentile

15% of scientists in this discipline score the same or lower.

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

Jean-François Lalonde 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 Jean-François Lalonde 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: 40 D-Index — 37th percentile

37% of scientists in this discipline score the same or lower.

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

Overview

Jean-François Lalonde is affiliated with Université Laval in Canada and has produced a significant body of research primarily in computer science, engineering, and environmental science. Their work spans multiple subfields such as Computer Vision and Pattern Recognition, Environmental Engineering, and Building and Construction, among others.

Their research topics cover a wide array of themes including Advanced Vision and Imaging, Urban Heat Island Mitigation, Building Energy and Comfort Optimization, Multimodal Machine Learning Applications, Optical Measurement and Interference Techniques, Urban Green Space and Health, and the Impact of Light on Environment and Health.

Key recent papers authored in collaboration with others include:

  • Matching Feature Sets for Few-Shot Image Classification, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Differentiable Compound Optics and Processing Pipeline Optimization for End-to-end Camera Design, 2021, ACM Transactions on Graphics
  • Mixture-based Feature Space Learning for Few-shot Image Classification, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Machine learning techniques to characterize functional traits of plankton from image data, 2022, Limnology and Oceanography
  • Deep learning-enabled framework for automatic lens design starting point generation, 2021, Optics Express

Among frequent co-authors found alongside Lalonde are Claude M. H. Demers, Marc Hébert, André Potvin, Christian Gagné, and Simon Thibault.

Their papers are commonly published in venues such as:

  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • Indoor and Built Environment
  • Data in Brief
  • Computer Graphics Forum

Lalonde's research integrates methodologies from computer vision, machine learning, and environmental science to address various challenges across imaging technology and environmental impacts in urban and natural settings.

Best Publications

  • Natural terrain classification using three-dimensional ladar data for ground robot mobility

    Jean-François Lalonde;Nicolas Vandapel;Daniel F. Huber;Martial Hebert

  • Learning to predict indoor illumination from a single image

    Marc-André Gardner;Kalyan Sunkavalli;Ersin Yumer;Xiaohui Shen

  • Photo clip art

    Jean-François Lalonde;Derek Hoiem;Alexei A. Efros;Carsten Rother

  • Detecting ground shadows in outdoor consumer photographs

    Jean-François Lalonde;Alexei A. Efros;Srinivasa G. Narasimhan

  • Deep Outdoor Illumination Estimation

    Yannick Hold-Geoffroy;Kalyan Sunkavalli;Sunil Hadap;Emiliano Gambaretto

  • Domain Adaptation Through Synthesis for Unsupervised Person Re-identification

    Slawomir Bak;Peter Carr;Jean-Francois Lalonde

  • Rain Rendering for Evaluating and Improving Robustness to Bad Weather

    Maxime Tremblay;Shirsendu Sukanta Halder;Raoul de Charette;Jean-François Lalonde

  • Deep photovoltaic nowcasting

    Jinsong Zhang;Rodrigo Verschae;Shohei Nobuhara;Jean-François Lalonde

  • Estimating natural illumination from a single outdoor image

    Jean-Francois Lalonde;Alexei A. Efros;Srinivasa G. Narasimhan

  • Estimating the Natural Illumination Conditions from a Single Outdoor Image

    Jean-François Lalonde;Alexei A. Efros;Srinivasa G. Narasimhan

  • Using Color Compatibility for Assessing Image Realism

    J.-F. Lalonde;A.A. Efros

  • Matching Feature Sets for Few-Shot Image Classification

    Unknown

  • Deep Parametric Indoor Lighting Estimation

    Marc-Andre Gardner;Yannick Hold-Geoffroy;Kalyan Sunkavalli;Christian Gagne

  • Fast Spatially-Varying Indoor Lighting Estimation

    Mathieu Garon;Kalyan Sunkavalli;Sunil Hadap;Nathan Carr

  • Associative Alignment for Few-shot Image Classification

    Arman Afrasiyabi;Jean-François Lalonde;Christian Gagné;Christian Gagné

  • Scale selection for classification of point-sampled 3D surfaces

    J.F. Lalonde;R. Unnikrishnan;N. Vandapel;M. Hebert

  • What Do the Sun and the Sky Tell Us About the Camera

    Jean-François Lalonde;Srinivasa G. Narasimhan;Alexei A. Efros

  • Physics-Based Rendering for Improving Robustness to Rain

    Shirsendu Halder;Jean-Francois Lalonde;Raoul De Charette

  • Real-Time High Resolution 3D Data on the HoloLens

    Mathieu Garon;Pierre-Olivier Boulet;Jean-Philippe Doironz;Luc Beaulieu

  • Deep Sky Modeling for Single Image Outdoor Lighting Estimation

    Yannick Hold-Geoffroy;Akshaya Athawale;Jean-Francois Lalonde

  • Webcam clip art: appearance and illuminant transfer from time-lapse sequences

    Jean-François Lalonde;Alexei A. Efros;Srinivasa G. Narasimhan

  • Deep 6-DOF Tracking

    Mathieu Garon;Jean-Francois Lalonde

Frequent Co-Authors

Kalyan Sunkavalli
Kalyan Sunkavalli Adobe Systems (United States)
Alexei A. Efros
Alexei A. Efros University of California, Berkeley
Srinivasa G. Narasimhan
Srinivasa G. Narasimhan Carnegie Mellon University
Iain Matthews
Iain Matthews University of East Anglia
Martial Hebert
Martial Hebert Carnegie Mellon University
Christian Theobalt
Christian Theobalt Max Planck Institute for Informatics
Felix Heide
Felix Heide Princeton University
Xiaohui Shen
Xiaohui Shen ByteDance
Ralph Gross
Ralph Gross Carnegie Mellon University
Ersin Yumer
Ersin Yumer Adobe Systems (United States)

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