World's Best Scientists 2026 revealed!
Jordi Muñoz-Marí

Jordi Muñoz-Marí

D-Index & Metrics

Computer Science

D-Index
40
Citations
9955
World Ranking
9115
National Ranking
139

Jordi Muñoz-Marí 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 Jordi Muñoz-Marí 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: 127 publications — 17th percentile

17% of scientists in this discipline score the same or lower.

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

Jordi Muñoz-Marí 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 Jordi Muñoz-Marí 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

Jordi Muñoz-Marí is affiliated with the University of Valencia in Spain and has a research focus centered primarily in the field of Environmental Science. Their academic contributions span several subfields, including Ecology, Global and Planetary Change, Environmental Engineering, Media Technology, and Atmospheric Science.

Their work covers a range of topics relevant to remote sensing and environmental monitoring. Key areas of research include:

  • Remote Sensing in Agriculture
  • Remote-Sensing Image Classification
  • Climate variability and models
  • Tropical and Extratropical Cyclones Research
  • Species Distribution and Climate Change
  • Urban Heat Island Mitigation
  • Leaf Properties and Growth Measurement

Jordi Muñoz-Marí has contributed to multiple peer-reviewed journals and publication venues throughout their career. Frequent venues include:

  • arXiv (Cornell University)
  • IEEE Transactions on Geoscience and Remote Sensing
  • Remote Sensing of Environment
  • Zenodo (CERN European Organization for Nuclear Research)
  • Science Advances

The scientist's recent papers illustrate their active engagement in advancing remote sensing methodologies and applications:

  • "A unified vegetation index for quantifying the terrestrial biosphere," 2021, published in Science Advances
  • "Estimation of vegetation traits with kernel NDVI," 2022, published in ISPRS Journal of Photogrammetry and Remote Sensing
  • "Multispectral high resolution sensor fusion for smoothing and gap-filling in the cloud," 2020, published in Remote Sensing of Environment
  • "Interpretable Long Short-Term Memory Networks for Crop Yield Estimation," 2023, published in IEEE Geoscience and Remote Sensing Letters
  • "Comparative analysis of atmospheric radiative transfer models using the Atmospheric Look-up table Generator (ALG) toolbox (version 2.0)," 2020, published in Geoscientific Model Development

The scientist frequently collaborates with a group of coauthors who have contributed to a significant number of joint publications. Notable frequent coauthors include:

  • Gustau Camps-Valls
  • María Piles
  • Adrián Pérez-Suay
  • Álvaro Moreno-Martínez
  • Anna Mateo-Sanchis

Best Publications

  • Composite kernels for hyperspectral image classification

    G. Camps-Valls;L. Gomez-Chova;J. Munoz-Mari;J. Vila-Frances

  • Inferring causation from time series in Earth system sciences

    Jakob Runge;Jakob Runge;Sebastian Bathiany;Erik Bollt;Gustau Camps-Valls

  • Optical remote sensing and the retrieval of terrestrial vegetation bio-geophysical properties - A review

    Jochem Verrelst;Gustau Camps-Valls;Jordi Muñoz-Marí;Juan Pablo Rivera

  • A Survey of Active Learning Algorithms for Supervised Remote Sensing Image Classification

    Devis Tuia;Michele Volpi;Loris Copa;Mikhail Kanevski

  • Kernel-Based Framework for Multitemporal and Multisource Remote Sensing Data Classification and Change Detection

    G. Camps-Valls;L. Gomez-Chova;J. Munoz-Mari;J.L. Rojo-Alvarez

  • Experimental Sentinel-2 LAI estimation using parametric, non-parametric and physical retrieval methods - A comparison

    Jochem Verrelst;Juan Pablo Rivera;Frank Veroustraete;Jordi Muñoz-Marí

  • Semisupervised One-Class Support Vector Machines for Classification of Remote Sensing Data

    Jordi Mũnoz-Marí;Francesca Bovolo;Luis Gómez-Chova;Lorenzo Bruzzone

  • Semisupervised Image Classification With Laplacian Support Vector Machines

    L. Gomez-Chova;G. Camps-Valls;J. Munoz-Mari;J. Calpe

  • A Survey on Gaussian Processes for Earth-Observation Data Analysis: A Comprehensive Investigation

    Gustau Camps-Valls;Jochem Verrelst;Jordi Munoz-Mari;Valero Laparra

  • Machine learning information fusion in Earth observation: A comprehensive review of methods, applications and data sources

    Sancho Salcedo-Sanz;Pedram Ghamisi;Maria Piles;Martin Werner

  • A Support Vector Domain Description Approach to Supervised Classification of Remote Sensing Images

    J. Munoz-Marf;L. Bruzzone;G. Camps-Vails

  • Toward a Semiautomatic Machine Learning Retrieval of Biophysical Parameters

    Juan Pablo Rivera Caicedo;Jochem Verrelst;Jordi Munoz-Mari;Jose Moreno

  • Multitemporal Cloud Masking in the Google Earth Engine

    Gonzalo Mateo-García;Luis Gómez-Chova;Julia Amorós-López;Jordi Muñoz-Marí

  • Hyperspectral dimensionality reduction for biophysical variable statistical retrieval

    Juan Pablo Rivera-Caicedo;Jochem Verrelst;Jordi Muñoz-Marí;Gustau Camps-Valls

  • Retrieval of oceanic chlorophyll concentration with relevance vector machines

    Gustavo Camps-Valls;Luis Gómez-Chova;Jordi Muñoz-Marí;Joan Vila-Francés

  • Support Vector Machines for Nonlinear Kernel ARMA System Identification

    M. Martinez-Ramon;J.L. Rojo-Alvarez;G. Camps-Valls;J. Munoz-Mari

  • On the Impact of Lossy Compression on Hyperspectral Image Classification and Unmixing

    Fernando García-Vílchez;Jordi Muñoz-Marí;Maciel Zortea;Ian Blanes

  • Synergistic integration of optical and microwave satellite data for crop yield estimation.

    Anna Mateo-Sanchis;Maria Piles;Jordi Muñoz-Marí;Jose E. Adsuara

  • Divisive normalization image quality metric revisited.

    Valero Laparra;Jordi Muñoz-Marí;Jesús Malo

  • Graph Matching for Adaptation in Remote Sensing

    D. Tuia;J. Munoz-Mari;L. Gomez-Chova;J. Malo

  • Semisupervised Classification of Remote Sensing Images With Active Queries

    J. Munoz-Mari;D. Tuia;G. Camps-Valls

  • Multispectral high resolution sensor fusion for smoothing and gap-filling in the cloud

    Álvaro Moreno-Martínez;Álvaro Moreno-Martínez;Emma Izquierdo-Verdiguier;Marco P. Maneta;Gustau Camps-Valls

Frequent Co-Authors

Gustau Camps-Valls
Gustau Camps-Valls University of Valencia
Luis Gómez-Chova
Luis Gómez-Chova University of Valencia
Jochem Verrelst
Jochem Verrelst University of Valencia
Jose Moreno
Jose Moreno University of Valencia
Devis Tuia
Devis Tuia École Polytechnique Fédérale de Lausanne
Luca Martino
Luca Martino King Juan Carlos University
Steven W. Running
Steven W. Running University of Montana
Miguel D. Mahecha
Miguel D. Mahecha Leipzig University
Luis Guanter
Luis Guanter Universitat Politècnica de València
Markus Reichstein
Markus Reichstein Max Planck Institute for Biogeochemistry

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring computer science in the USA opens doors to a variety of online degree options and career paths. Many students opt for an associate’s degree as their first step, thanks to its flexibility and accessibility. Find out more by looking into associates degrees online, which can jumpstart your tech career or set you up for further study.

If you’re driven to earn advanced qualifications quickly, consider the quickest masters degree online options. These programs are tailored for motivated learners looking to balance education with work or other commitments.

When deciding on a graduate program, it’s crucial to choose masters degrees that are worth it. Focus on fields in high demand to maximize your return on investment and career prospects within the tech industry.

For cost-conscious learners, there are many affordable online colleges offering respected computer science degrees. This makes quality education more accessible, no matter your budget or location.

Best Scientists Citing Jordi Muñoz-Marí

Trending Scientists

Recently Published Articles