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Rafael Molina
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Computer Science
Spain
2025

Rafael Molina publications per year

The chart shows the history of publications by Rafael Molina between 1976 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Rafael Molina published across 50 years, from 1976 to 2025, averaging 10 papers a year. Output peaked at 26 publications in 2007. 32 of the 498 publications appeared in the last two years.

No. of publications
5 10 15 20 25
Bar chart. Horizontal axis: year, 1976 to 2025. Vertical axis: number of publications, 0 to 26. Peak 26 publications in 2007. 1976: 1 publication 1977: 0 publications 1978: 0 publications 1979: 0 publications 1980: 0 publications 1981: 0 publications 1982: 0 publications 1983: 0 publications 1984: 2 publications 1985: 0 publications 1986: 3 publications 1987: 0 publications 1988: 1 publication 1989: 3 publications 1990: 3 publications 1991: 4 publications 1992: 10 publications 1993: 3 publications 1994: 9 publications 1995: 7 publications 1996: 11 publications 1997: 13 publications 1998: 13 publications 1999: 9 publications 2000: 15 publications 2001: 11 publications 2002: 9 publications 2003: 21 publications 2004: 18 publications 2005: 15 publications 2006: 10 publications 2007: 26 publications 2008: 17 publications 2009: 18 publications 2010: 18 publications 2011: 23 publications 2012: 10 publications 2013: 20 publications 2014: 21 publications 2015: 14 publications 2016: 12 publications 2017: 14 publications 2018: 13 publications 2019: 20 publications 2020: 12 publications 2021: 11 publications 2022: 7 publications 2023: 19 publications 2024: 15 publications 2025: 17 publications
1976 2025

498 publications in total across all disciplines

View publications per year as a table
Rafael Molina: publications per year, 1976 to 2025
Year Publications
1976 1
1977 0
1978 0
1979 0
1980 0
1981 0
1982 0
1983 0
1984 2
1985 0
1986 3
1987 0
1988 1
1989 3
1990 3
1991 4
1992 10
1993 3
1994 9
1995 7
1996 11
1997 13
1998 13
1999 9
2000 15
2001 11
2002 9
2003 21
2004 18
2005 15
2006 10
2007 26
2008 17
2009 18
2010 18
2011 23
2012 10
2013 20
2014 21
2015 14
2016 12
2017 14
2018 13
2019 20
2020 12
2021 11
2022 7
2023 19
2024 15
2025 17
Total 498
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Rafael Molina 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 Rafael Molina sits on this spectrum.

No. of scientists
200 400 600
Bar chart with 97 bars. Horizontal axis: publications, 32–41 to 991+. Vertical axis: number of scientists, 0 to 609. Most scientists, 609, have 142–151 publications. The last bar groups every scientist with 991 publications or more. 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
32–41 publications 991+

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

View publications distribution as a table
Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications Scientists
32–41 7
42–51 22
52–61 82
62–71 134
72–81 249
82–91 324
92–101 421
102–111 420
112–121 497
122–131 544
132–141 555
142–151 609
152–161 559
162–171 534
172–181 556
182–191 583
192–201 519
202–211 508
212–221 490
222–231 437
232–241 423
242–251 408
252–261 377
262–271 301
272–281 335
282–291 320
292–301 293
302–311 250
312–321 238
322–331 206
332–341 209
342–351 208
352–361 162
362–371 176
372–381 127
382–391 158
392–401 128
402–411 104
412–421 94
422–431 99
432–441 83
442–451 108
452–461 73
462–471 77
472–481 69
482–491 84
492–501 62
502–511 54
512–521 57
522–531 51
532–541 51
542–551 32
552–561 38
562–571 28
572–581 43
582–591 33
592–601 41
602–611 32
612–621 28
622–631 25
632–641 27
642–651 17
652–661 20
662–671 17
672–681 15
682–691 14
692–701 21
702–711 13
712–721 12
722–731 19
732–741 14
742–751 12
752–761 10
762–771 10
772–781 11
782–791 10
792–801 11
802–811 8
812–821 8
822–831 7
832–841 11
842–851 10
852–861 5
862–871 9
872–881 4
882–891 6
892–901 3
902–911 6
912–921 3
922–931 2
932–941 2
942–951 2
952–961 3
962–971 3
972–981 3
982–990 5
991+ 100
Download as CSV

Rafael Molina 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 Rafael Molina sits on this spectrum.

No. of scientists
200 400 600 800
Bar chart with 52 bars. Horizontal axis: D-Index, 30–31 to 131+. Vertical axis: number of scientists, 0 to 990. Most scientists, 990, have 36–37 D-Index. The last bar groups every scientist with 131 D-Index or more. 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
30–31 D-Index 131+

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

View D-Index distribution as a table
Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index Scientists
30–31 879
32–33 983
34–35 918
36–37 990
38–39 968
40–41 907
42–43 821
44–45 763
46–47 689
48–49 543
50–51 543
52–53 518
54–55 500
56–57 458
58–59 400
60–61 337
62–63 308
64–65 292
66–67 249
68–69 213
70–71 192
72–73 189
74–75 165
76–77 139
78–79 119
80–81 121
82–83 113
84–85 88
86–87 87
88–89 75
90–91 69
92–93 57
94–95 46
96–97 38
98–99 34
100–101 36
102–103 27
104–105 37
106–107 18
108–109 31
110–111 19
112–113 16
114–115 12
116–117 20
118–119 15
120–121 5
122–123 20
124–125 8
126–127 5
128–129 7
130 3
131+ 98
Download as CSV

Research.com Recognitions

  • 2025 - Research.com Computer Science in Spain Leader Award
  • 2022 - Research.com Computer Science in Spain Leader Award

Overview

Rafael Molina is affiliated with the University of Granada in Spain and has contributed extensively to the field of computer science, with a particular focus on artificial intelligence, computer vision, and medical imaging applications. Their research spans various subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Media Technology, Radiology, Nuclear Medicine and Imaging, and Neurology.

The scientist's work centers on specialized topics such as AI in cancer detection, digital imaging for blood diseases, and advanced image processing techniques. Molina has also explored machine learning in healthcare and radiomics as applied to medical imaging, with additional research into intracerebral and subarachnoid hemorrhage.

Frequent co-authors collaborating with Molina include Aggelos K. Katsaggelos, Pablo Morales-Álvarez, Fernando Pérez-Bueno, Arne Schmidt, and Miguel López-Pérez.

Rafael Molina's recent publications cover diverse applications of AI and image processing. Notable papers include:

  • Going deeper through the Gleason scoring scale: An automatic end-to-end system for histology prostate grading and cribriform pattern detection, 2020, Computer Methods and Programs in Biomedicine
  • The Devil is in the Details: Whole Slide Image Acquisition and Processing for Artifacts Detection, Color Variation, and Data Augmentation: A Review, 2022, IEEE Access
  • Deep Gaussian processes for biogeophysical parameter retrieval and model inversion, 2020, ISPRS Journal of Photogrammetry and Remote Sensing
  • Learning from crowds in digital pathology using scalable variational Gaussian processes, 2021, Scientific Reports
  • Blind color deconvolution, normalization, and classification of histological images using general super Gaussian priors and Bayesian inference, 2021, Computer Methods and Programs in Biomedicine

Molina's research has been published in a variety of venues, frequently appearing in arXiv (Cornell University), IEEE Access, Digital Signal Processing, Computer Methods and Programs in Biomedicine, and SSRN Electronic Journal.

Best Publications

  • Bayesian Compressive Sensing Using Laplace Priors

    S.D. Babacan;R. Molina;A.K. Katsaggelos

  • Using Deep Neural Networks for Inverse Problems in Imaging: Beyond Analytical Methods

    Alice Lucas;Michael Iliadis;Rafael Molina;Aggelos K. Katsaggelos

  • A survey of classical methods and new trends in pansharpening of multispectral images

    Israa Amro;Israa Amro;Javier Mateos;Miguel Vega;Rafael Molina

  • Variational Bayesian Super Resolution

    S Derin Babacan;Rafael Molina;Aggelos K Katsaggelos

  • Sparse Bayesian Methods for Low-Rank Matrix Estimation

    S. Derin Babacan;Martin Luessi;Rafael Molina;Aggelos K. Katsaggelos

  • Blind Deconvolution Using a Variational Approach to Parameter, Image, and Blur Estimation

    R. Molina;J. Mateos;A.K. Katsaggelos

  • Variational Bayesian Blind Deconvolution Using a Total Variation Prior

    S.D. Babacan;R. Molina;A.K. Katsaggelos

  • Bayesian and regularization methods for hyperparameter estimation in image restoration

    R. Molina;A.K. Katsaggelos;J. Mateos

  • Super Resolution of Images and Video

    Aggelos Konstantinos Katsaggelos;Rafael Molina;Javier Mateos

  • Parameter Estimation in TV Image Restoration Using Variational Distribution Approximation

    S.D. Babacan;R. Molina;A.K. Katsaggelos

  • Bayesian blind deconvolution with general sparse image priors

    S. Derin Babacan;Rafael Molina;Minh N. Do;Aggelos K. Katsaggelos

  • Image restoration in astronomy: a Bayesian perspective

    R. Molina;J. Nunez;F.J. Cortijo;J. Mateos

  • Generative Adversarial Networks and Perceptual Losses for Video Super-Resolution

    Alice Lucas;Santiago Lopez-Tapia;Rafael Molina;Aggelos K. Katsaggelos

  • Bayesian resolution enhancement of compressed video

    C.A. Segall;A.K. Katsaggelos;R. Molina;J. Mateos

  • High-resolution images from low-resolution compressed video

    C.A. Segall;R. Molina;A.K. Katsaggelos

  • IEEE International Conference on Image Processing

    T. E. Bishop;R. Molina;James Hopgood

  • Variational Bayesian Image Restoration With a Product of Spatially Weighted Total Variation Image Priors

    G. Chantas;N.P. Galatsanos;R. Molina;A.K. Katsaggelos

  • Bayesian combination of sparse and non-sparse priors in image super resolution

    S. Villena;M. Vega;S. D. Babacan;R. Molina

  • Generative Adversarial Networks and Perceptual Losses for Video Super-Resolution

    Alice Lucas;Aggelos K. Katsaggelos;Santiago Lopez-Tapuia;Rafael Molina

  • Total variation blind deconvolution using a variational approach to parameter, image, and blur estimation

    S. Derin Babacan;Rafael Molina;Aggelos K. Katsaggelos

Frequent Co-Authors

Aggelos K. Katsaggelos
Aggelos K. Katsaggelos Northwestern University
Nikolas P. Galatsanos
Nikolas P. Galatsanos University of Ioannina
Gustau Camps-Valls
Gustau Camps-Valls University of Valencia
Antonio M. López
Antonio M. López Autonomous University of Barcelona
David M. Goldenberg
David M. Goldenberg Immunomedics (United States)
Jean-Pierre Mach
Jean-Pierre Mach University of Lausanne
Max M. Burger
Max M. Burger Friedrich Miescher Institute
Paul M. Sondel
Paul M. Sondel University of Wisconsin–Madison
James R. Booth
James R. Booth Vanderbilt University
Fionn Murtagh
Fionn Murtagh University of Huddersfield

External Links

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Best Scientists Citing Rafael Molina

Aggelos K. Katsaggelos

Aggelos K. Katsaggelos

Northwestern University

Publications: 43

Lei Zhang

Lei Zhang

Hong Kong Polytechnic University

Publications: 20

Nicolas Dobigeon

Nicolas Dobigeon

National Polytechnic Institute of Toulouse

Publications: 19

Liangpei Zhang

Liangpei Zhang

Wuhan University

Publications: 18

Huanfeng Shen

Huanfeng Shen

Wuhan University

Publications: 17

Jean-Yves Tourneret

Jean-Yves Tourneret

National Polytechnic Institute of Toulouse

Publications: 16

Guangming Shi

Guangming Shi

Xidian University

Publications: 16

Deyu Meng

Deyu Meng

Xi'an Jiaotong University

Publications: 16

Jocelyn Chanussot

Jocelyn Chanussot

Grenoble Alpes University

Publications: 15

Vishal Monga

Vishal Monga

Pennsylvania State University

Publications: 15

Yanning Zhang

Yanning Zhang

Northwestern Polytechnical University

Publications: 15

Aristidis Likas

Aristidis Likas

University of Ioannina

Publications: 14

David Wipf

David Wipf

Amazon (United States)

Publications: 14

Anna Orlova

Anna Orlova

Uppsala University

Publications: 14

Wangmeng Zuo

Wangmeng Zuo

Harbin Institute of Technology

Publications: 13

Vladimir Tolmachev

Vladimir Tolmachev

Uppsala University

Publications: 13

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