World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
24568
World Ranking
9926
National Ranking
157

Montserrat Robles 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 Montserrat Robles 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: 106 publications — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Montserrat Robles 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 Montserrat Robles 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

Montserrat Robles is affiliated with the Universitat Politècnica de València in Spain. Their research spans across computer science, medicine, and business, management and accounting fields. This interdisciplinary approach is reflected in their range of recent publications and areas of expertise.

The scientist has contributed to several recent papers including:

  • Definition and validation of SNOMED CT subsets using the expression constraint language (2021, Journal of Biomedical Informatics)
  • Radiological Structured Report Integrated with Quantitative Imaging Biomarkers and Qualitative Scoring Systems (2022, Journal of Digital Imaging)
  • Augmented EHR: Enrichment of EHR with Contents from Semantic Web Sources (2021, Applied Sciences)
  • Corporate Governance and Gender Equality: A Study of Comply-or-Explain Disclosure Regulation (2024, SSRN Electronic Journal)

Frequent co-authors include:

  • José Alberto Maldonado
  • Diego Boscá
  • Mar Marcos
  • Vicente Miguel Giménez-Solano
  • S. Salas-García

Recurring publication venues where Montserrat Robles has published are:

  • Journal of Biomedical Informatics
  • Journal of Digital Imaging
  • Applied Sciences
  • SSRN Electronic Journal

The scientist's main fields of study include:

  • Computer Science
  • Medicine
  • Business, Management and Accounting

Subfields of their work cover:

  • Artificial Intelligence
  • Radiology, Nuclear Medicine and Imaging
  • Molecular Biology
  • Accounting
  • Information Systems and Management

Key topics addressed in Montserrat Robles' research are:

  • Biomedical Text Mining and Ontologies
  • Semantic Web and Ontologies
  • Natural Language Processing Techniques
  • Radiology practices and education
  • Radiomics and Machine Learning in Medical Imaging
  • Radiation Dose and Imaging
  • Scientific Computing and Data Management

Best Publications

  • Blast2GO: a universal tool for annotation, visualization and analysis in functional genomics research

    Ana Conesa;Stefan Götz;Juan Miguel García-Gómez;Javier Terol

  • High-throughput functional annotation and data mining with the Blast2GO suite.

    Stefan Götz;Juan Miguel García-Gómez;Javier Terol;Tim D. Williams

  • Adaptive non‐local means denoising of MR images with spatially varying noise levels

    José V. Manjón;Pierrick Coupé;Luis Martí-Bonmatí;D. Louis Collins

  • Patch-based segmentation using expert priors: application to hippocampus and ventricle segmentation.

    Pierrick Coupé;José V. Manjón;Vladimir S. Fonov;Jens C. Pruessner

  • MRI denoising using non-local means.

    José V. Manjón;José Carbonell-Caballero;Juan José Lull;Gracián García-Martí

  • Diffusion Weighted Image Denoising Using Overcomplete Local PCA

    José V. Manjón;Pierrick Coupé;Luis Concha;Antonio Buades

  • New methods for MRI denoising based on sparseness and self-similarity.

    José V. Manjón;Pierrick Coupé;Antonio Buades;D. Louis Collins

  • Non-local MRI upsampling.

    José V. Manjón;Pierrick Coupé;Antonio Buades;Vladimir S. Fonov

  • Robust Rician noise estimation for MR images.

    Pierrick Coupé;Pierrick Coupé;José V. Manjón;Elias Gedamu;Elias Gedamu;Douglas L. Arnold;Douglas L. Arnold

  • Multiproject-multicenter evaluation of automatic brain tumor classification by magnetic resonance spectroscopy.

    Juan M. García-Gómez;Jan Luts;Margarida Julià-Sapé;Patrick Krooshof

  • Mobile Clinical Decision Support Systems and Applications: A Literature and Commercial Review

    Borja Martínez-Pérez;Isabel Torre-Díez;Miguel López-Coronado;Beatriz Sainz-De-Abajo

  • Interoperability of clinical decision-support systems and electronic health records using archetypes

    Mar Marcos;Jose A. Maldonado;Begoña Martínez-Salvador;Diego Boscá

  • MRI superresolution using self-similarity and image priors

    José V. Manjón;Pierrick Coupé;Antonio Buades;D. Louis Collins

  • LinkEHR-Ed: a multi-reference model archetype editor based on formal semantics.

    José Alberto Maldonado;David Moner;Diego Boscá;Jesualdo Tomás Fernández-Breis

  • Adaptive multiresolution non-local means filter for three-dimensional magnetic resonance image denoising

    P. Coupe;J.V. Manjon;M. Robles;D.L. Collins

  • HealthAgents: distributed multi-agent brain tumor diagnosis and prognosis

    Horacio González-Vélez;Mariola Mier;Margarida Julià-Sapé;Theodoros N. Arvanitis

  • Schizophrenia with auditory hallucinations: a voxel-based morphometry study.

    Gracián García-Martí;Eduardo J. Aguilar;Juan J. Lull;Luis Martí-Bonmatí

  • Automated glioblastoma segmentation based on a multiparametric structured unsupervised classification.

    Javier Juan-Albarracín;Elies Fuster-Garcia;José V. Manjón;Montserrat Robles

  • Analysis of mobile health applications for a broad spectrum of consumers: A user experience approach

    Juan M García-Gómez;Isabel de la Torre-Díez;Javier Vicente;Montserrat Robles

  • Clinical information modeling processes for semantic interoperability of electronic health records: systematic review and inductive analysis

    Alberto Moreno-Conde;David Moner;Wellington Dimas da Cruz;Marcelo R Santos

  • MRI Superresolution Using Self Similarity and Image

    Jose Vicente Manjon;Pierrick Coup;Antoni Buades;D. Louis Collins

Frequent Co-Authors

José V. Manjón
José V. Manjón Universitat Politècnica de València
Pierrick Coupé
Pierrick Coupé University of Bordeaux
Julio Sanjuan
Julio Sanjuan University of Valencia
D. Louis Collins
D. Louis Collins McGill University
Pieter Wesseling
Pieter Wesseling University of Amsterdam
Douglas L. Arnold
Douglas L. Arnold Montreal Neurological Institute and Hospital
Jens C. Pruessner
Jens C. Pruessner University of Konstanz
Manuel Talón
Manuel Talón Instituto Valenciano de Investigaciones Agrarias

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

If you’re exploring a Computer Science degree in the USA, consider the flexibility and accessibility offered by many online programs. For students concerned about their academic history, there are online graduate schools with low gpa requirements that open doors for a wider range of applicants.

Those interested in finishing their studies faster should look into a computer science accelerated program. These allow motivated students to enter the workforce or advance their careers in less time.

Beyond computer science, consider how your technical skills can apply to related fields. There are plenty of jobs for environmental science majors, which often involve data analysis, programming, and modeling. If you’re interested in sustainability, you can also pursue a environmental engineering degree online, an affordable path that blends engineering with technological innovation.

Exploring these degree options can help you discover new career possibilities and tailor your studies to your interests and goals.

Best Scientists Citing Montserrat Robles

Trending Scientists

Recently Published Articles