World's Best Scientists 2026 revealed!
Carlos Oscar S. Sorzano

Carlos Oscar S. Sorzano

D-Index & Metrics

Computer Science

D-Index
43
Citations
10315
World Ranking
7843
National Ranking
104

Carlos Oscar S. Sorzano 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 Carlos Oscar S. Sorzano 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: 195 publications — 44th percentile

44% of scientists in this discipline score the same or lower.

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

Carlos Oscar S. Sorzano 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 Carlos Oscar S. Sorzano 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: 43 D-Index — 46th percentile

46% of scientists in this discipline score the same or lower.

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

Overview

Carlos Oscar S. Sorzano is affiliated with the Spanish National Research Council in Spain. Their research spans across multiple disciplines, primarily focusing on Biochemistry, Genetics and Molecular Biology, and Materials Science. Within these broader fields, they have contributed extensively to Structural Biology, Surfaces, Coatings and Films, Molecular Biology, Immunology, and Materials Chemistry.

The scientist's work covers various significant topics, including Advanced Electron Microscopy Techniques and Applications, Electron and X-Ray Spectroscopy Techniques, Advanced X-ray Imaging Techniques, SARS-CoV-2 and COVID-19 Research, Immunotherapy and Immune Responses, Machine Learning in Materials Science, and Enzyme Structure and Function.

Frequent publication venues for Sorzano include:

  • Journal of Structural Biology
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Acta Crystallographica Section A Foundations and Advances
  • Vaccines
  • Nature Communications

Their notable recent papers include:

  • DeepEMhancer: a deep learning solution for cryo-EM volume post-processing, 2021, Communications Biology
  • DeepEMhancer: a deep learning solution for cryo-EM volume post-processing, 2020, bioRxiv (Cold Spring Harbor Laboratory)
  • COVID-19 Vaccine Candidates Based on Modified Vaccinia Virus Ankara Expressing the SARS-CoV-2 Spike Protein Induce Robust T- and B-Cell Immune Responses and Full Efficacy in Mice, 2021, Journal of Virology
  • PDBe-KB: collaboratively defining the biological context of structural data, 2021, Nucleic Acids Research
  • Structural insights into influenza A virus ribonucleoproteins reveal a processive helical track as transcription mechanism, 2020, Nature Microbiology

Sorzano has collaborated frequently with a number of co-authors, including:

  • J.M. Carazo
  • Pablo Conesa
  • Rubén Sánchez-García
  • David Herreros
  • Erney Ramírez-Aportela

Best Publications

  • DeepEMhancer: a deep learning solution for cryo-EM volume post-processing.

    Ruben Sanchez-Garcia;Ruben Sanchez-Garcia;Josue Gomez-Blanco;Josue Gomez-Blanco;Ana Cuervo;Jose Maria Carazo

  • Scipion: A software framework toward integration, reproducibility and validation in 3D electron microscopy.

    J.M. de la Rosa-Trevín;A. Quintana;L. del Cano;A. Zaldívar

  • XMIPP: a new generation of an open-source image processing package for electron microscopy

    Carlos Óscar Sánchez Sorzano;Roberto Marabini;Javier Velázquez-Muriel;José Román Bilbao-Castro

  • Consistent and elastic registration of histological sections using vector-spline regularization

    Ignacio Arganda-Carreras;Carlos O. S. Sorzano;Roberto Marabini;José María Carazo

  • Elastic registration of biological images using vector-spline regularization

    C.O.S. Sorzano;P. Thevenaz;M. Unser

  • Image processing for electron microscopy single-particle analysis using XMIPP

    Sjors H. W. Scheres;Rafael Núñez-Ramírez;Carlos Óscar Sánchez Sorzano;José M. Carazo

  • TomoJ: tomography software for three-dimensional reconstruction in transmission electron microscopy

    Cédric MessaoudiI;Cédric MessaoudiI;Thomas Boudier;Thomas Boudier;Carlos Oscar Sanchez Sorzano;Sergio Marco;Sergio Marco

  • Xmipp 3.0: an improved software suite for image processing in electron microscopy.

    J.M. de la Rosa-Trevín;J. Otón;R. Marabini;A. Zaldívar

  • A survey of dimensionality reduction techniques.

    Carlos Oscar Sánchez Sorzano;Javier Vargas;Alberto Domingo Pascual-Montano

  • Maximum-likelihood Multi-reference Refinement for Electron Microscopy Images

    Sjors H.W. Scheres;Mikel Valle;Rafael Nuñez;Carlos O.S. Sorzano;Carlos O.S. Sorzano

  • DeepEMhancer: a deep learning solution for cryo-EM volume post-processing

    Ruben Sanchez Garcia;Josue Gomez-Blanco;Ana Cuervo;Jose Maria Carazo

  • A clustering approach to multireference alignment of single-particle projections in electron microscopy

    C.O.S. Sorzano;J.R. Bilbao-Castro;Y. Shkolnisky;M. Alcorlo

  • MonoRes: Automatic and Accurate Estimation of Local Resolution for Electron Microscopy Maps

    Jose Luis Vilas;Josué Gómez-Blanco;Pablo Conesa;Roberto Melero

  • Automatic local resolution-based sharpening of cryo-EM maps.

    Erney Ramírez-Aportela;Jose Luis Vilas;Alisa Glukhova;Roberto Melero

  • Two-step interferometry by a regularized optical flow algorithm.

    J. Vargas;J. Antonio Quiroga;C. O. S. Sorzano;J. C. Estrada

  • Marker-free image registration of electron tomography tilt-series

    Carlos Oscar Sánchez Sorzano;Carlos Oscar Sánchez Sorzano;Cédric Messaoudi;Cédric Messaoudi;Matthias Eibauer;Jose-Roman Bilbao-Castro

  • The effect of overabundant projection directions on 3D reconstruction algorithms

    C. O. S. Sorzano;Roberto Marabini;Nicolas Boisset;Eicke Rietzel

  • BIPSPI: a method for the prediction of partner-specific protein–protein interfaces

    Rubén Sánchez-García;Carlos Óscar S. Sorzano;José M. Carazo;Joan Segura

  • A pattern matching approach to the automatic selection of particles from low-contrast electron micrographs

    V. Abrishami;A. Zaldívar-Peraza;J. M. de la Rosa-Trevín;J. Vargas

  • PDBe-KB: collaboratively defining the biological context of structural data

    Mihaly Varadi;Stephen Anyango;David Armstrong

  • Spectral signal-to-noise ratio and resolution assessment of 3D reconstructions.

    M. Unser;C.O.S. Sorzano;C.O.S. Sorzano;C.O.S. Sorzano;P. Thévenaz;S. Jonić

Frequent Co-Authors

José María Carazo
José María Carazo Spanish National Research Council
Roberto Marabini
Roberto Marabini Autonomous University of Madrid
Mariano Esteban
Mariano Esteban Spanish National Research Council
José Luis Vilas
José Luis Vilas University of the Basque Country
Michael Unser
Michael Unser École Polytechnique Fédérale de Lausanne
Gabor T. Herman
Gabor T. Herman City University of New York
José L. Carrascosa
José L. Carrascosa Spanish National Research Council
María Jesús Martínez
María Jesús Martínez Spanish National Research Council
Ana Maria Cuervo
Ana Maria Cuervo Albert Einstein College of Medicine
Giuseppe Pantaleo
Giuseppe Pantaleo University of Lausanne

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