World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
6001
World Ranking
10248
National Ranking
246

Alexis Joly 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 Alexis Joly 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: 201 publications — 47th percentile

47% of scientists in this discipline score the same or lower.

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

Alexis Joly 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 Alexis Joly 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: 38 D-Index — 30th percentile

30% of scientists in this discipline score the same or lower.

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

Overview

Alexis Joly is affiliated with the French Institute for Research in Computer Science and Automation (INRIA) in France. Their research focuses primarily on environmental science and agricultural and biological sciences, with significant contributions also in subfields such as ecological modeling, plant science, ecology, ecology, evolution, behavior and systematics, and molecular biology.

Joly has published extensively on topics related to species distribution and climate change, remote sensing in agriculture, plant and animal studies, smart agriculture and artificial intelligence, ecology and vegetation dynamics studies, animal vocal communication and behavior, and genomics and phylogenetic studies.

Recent publications by Joly include the following:

  • New perspectives on plant disease characterization based on deep learning, 2020, Computers and Electronics in Agriculture
  • Instance segmentation for the fine detection of crop and weed plants by precision agricultural robots, 2020, Applications in Plant Sciences
  • Machine Learning Using Digitized Herbarium Specimens to Advance Phenological Research, 2020, BioScience
  • Convolutional neural networks improve species distribution modelling by capturing the spatial structure of the environment, 2021, PLoS Computational Biology
  • Attention-Based Recurrent Neural Network for Plant Disease Classification, 2020, Frontiers in Plant Science

Frequent coauthors collaborating with Joly include Pierre Bonnet, Hervé Goëau, Maximilien Servajean, Titouan Lorieul, and Christophe Botella.

Joly's work is published in various venues, often appearing in:

  • Zenodo (CERN European Organization for Nuclear Research)
  • arXiv (Cornell University)
  • Frontiers in Plant Science
  • Biodiversity Information Science and Standards
  • Agritrop (Cirad)

Among book publications, Joly contributed to a volume published by the Centre National de la Recherche Scientifique titled On the Edge of the Sixth Mass Extinction in Biodiversity Hotspots: Facts, needs, solutions and opportunities in Thailand and adjacent countries (2024).

Best Publications

  • Video copy detection: a comparative study

    Julien Law-To;Li Chen;Alexis Joly;Ivan Laptev

  • Content-Based Copy Retrieval Using Distortion-Based Probabilistic Similarity Search

    A. Joly;O. Buisson;C. Frelicot

  • New perspectives on plant disease characterization based on deep learning

    Sue Han Lee;Hervé Goëau;Pierre Bonnet;Alexis Joly

  • Going deeper in the automated identification of Herbarium specimens.

    Jose Mario Carranza-Rojas;Hervé Goeau;Pierre Bonnet;Erick Mata-Montero

  • Logo retrieval with a contrario visual query expansion

    Alexis Joly;Olivier Buisson

  • A posteriori multi-probe locality sensitive hashing

    Alexis Joly;Olivier Buisson

  • Random maximum margin hashing

    Alexis Joly;Olivier Buisson

  • Interactive plant identification based on social image data

    Alexis Joly;Hervé Goëau;Pierre Bonnet;Vera Bakić

  • LifeCLEF 2015: Multimedia Life Species Identification Challenges

    Alexis Joly;Hervé Goëau;Hervé Glotin;Concetto Spampinato

  • The imageCLEF plant identification task 2013

    Hervé Goëau;Alexis Joly;Pierre Bonnet;Vera Bakic

  • LifeCLEF 2016: Multimedia Life Species Identification Challenges

    Alexis Joly;Hervè Goëau;Hervè Glotin;Concetto Spampinato

  • A look inside the Pl@ntNet experience

    Alexis Joly;Pierre Bonnet;Hervé Goëau;Julien Barbe

  • LifeCLEF Plant Identification Task 2014

    Hervé Goëau;Alexis Joly;Pierre Bonnet;Souheil Selmi

  • The ImageCLEF 2013 Plant Identification Task

    Hervé Goëau;Pierre Bonnet;Alexis Joly;Vera Bakić

  • Instance segmentation for the fine detection of crop and weed plants by precision agricultural robots.

    Julien Champ;Adan Mora-Fallas;Hervé Goëau;Erick Mata-Montero;Erick Mata-Montero

  • Plant identification based on noisy web data: the amazing performance of deep learning (LifeCLEF 2017)

    Hervé Goëau;Pierre Bonnet;Alexis Joly

  • Robust content-based video copy identification in a large reference database

    Alexis Joly;Carl Frélicot;Olivier Buisson

  • The ImageCLEF 2011 plant images classi cation task

    Hervé Goëau;Pierre Bonnet;Alexis Joly;Nozha Boujemaa

  • Machine Learning Using Digitized Herbarium Specimens to Advance Phenological Research.

    Katelin D. Pearson;Gil Nelson;Myla F.J. Aronson;Pierre Bonnet

  • Convolutional neural networks improve species distribution modelling by capturing the spatial structure of the environment.

    Benjamin Deneu;Benjamin Deneu;Maximilien Servajean;Maximilien Servajean;Pierre Bonnet;Christophe Botella;Christophe Botella

  • LifeCLEF 2014: Multimedia Life Species Identification Challenges

    Alexis Joly;Hervé Goëau;Hervé Glotin;Concetto Spampinato

  • The ImageCLEF 2012 Plant Identification Task

    Hervé Goëau;Pierre Bonnet;Alexis Joly;Itheri Yahiaoui

Frequent Co-Authors

Nozha Boujemaa
Nozha Boujemaa French Institute for Research in Computer Science and Automation - INRIA
Henning Müller
Henning Müller University of Applied Sciences and Arts Western Switzerland
François Munoz
François Munoz Grenoble Alpes University
Concetto Spampinato
Concetto Spampinato University of Catania
Patrick Valduriez
Patrick Valduriez French Institute for Research in Computer Science and Automation - INRIA
Ari Karppinen
Ari Karppinen Finnish Meteorological Institute
Susan J. Mazer
Susan J. Mazer University of California, Santa Barbara
Charles C. Davis
Charles C. Davis Harvard University
Pamela S. Soltis
Pamela S. Soltis University of Florida

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