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Aida Alvera-Azcárate

Aida Alvera-Azcárate

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Earth Science 30 9094 8454 69 67 85 3789

Aida Alvera-Azcárate publications per year

The chart shows the history of publications by Aida Alvera-Azcárate between 2003 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Aida Alvera-Azcárate published across 23 years, from 2003 to 2025, averaging 6.2 papers a year. Output peaked at 15 publications in 2024. 30 of the 142 publications appeared in the last two years.

No. of publications
5 10 15
Bar chart. Horizontal axis: year, 2003 to 2025. Vertical axis: number of publications, 0 to 15. Peak 15 publications in 2024. 2003: 2 publications 2004: 0 publications 2005: 2 publications 2006: 3 publications 2007: 7 publications 2008: 5 publications 2009: 5 publications 2010: 3 publications 2011: 8 publications 2012: 5 publications 2013: 2 publications 2014: 4 publications 2015: 5 publications 2016: 6 publications 2017: 2 publications 2018: 8 publications 2019: 10 publications 2020: 7 publications 2021: 11 publications 2022: 8 publications 2023: 9 publications 2024: 15 publications 2025: 15 publications
2003 2025

142 publications in total across all disciplines

View publications per year as a table
Aida Alvera-Azcárate: publications per year, 2003 to 2025
Year Publications
2003 2
2004 0
2005 2
2006 3
2007 7
2008 5
2009 5
2010 3
2011 8
2012 5
2013 2
2014 4
2015 5
2016 6
2017 2
2018 8
2019 10
2020 7
2021 11
2022 8
2023 9
2024 15
2025 15
Total 142
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Aida Alvera-Azcárate publication distribution in Earth Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Earth Science in 2026. The highlighted bar marks where Aida Alvera-Azcárate sits on this spectrum.

No. of scientists
100 200 300 400 500
Bar chart with 58 bars. Horizontal axis: publications, 38–47 to 603+. Vertical axis: number of scientists, 0 to 557. Most scientists, 557, have 128–137 publications. The last bar groups every scientist with 603 publications or more. The highlighted bar, 78–87 publications, is where this scientist sits. 38–47 publications: 5 scientists 48–57 publications: 33 scientists 58–67 publications: 94 scientists 68–77 publications: 161 scientists 78–87 publications: 278 scientists 88–97 publications: 376 scientists 98–107 publications: 404 scientists 108–117 publications: 484 scientists 118–127 publications: 540 scientists 128–137 publications: 557 scientists 138–147 publications: 491 scientists 148–157 publications: 495 scientists 158–167 publications: 458 scientists 168–177 publications: 490 scientists 178–187 publications: 414 scientists 188–197 publications: 401 scientists 198–207 publications: 333 scientists 208–217 publications: 292 scientists 218–227 publications: 290 scientists 228–237 publications: 262 scientists 238–247 publications: 243 scientists 248–257 publications: 208 scientists 258–267 publications: 185 scientists 268–277 publications: 147 scientists 278–287 publications: 128 scientists 288–297 publications: 119 scientists 298–307 publications: 120 scientists 308–317 publications: 107 scientists 318–327 publications: 93 scientists 328–337 publications: 87 scientists 338–347 publications: 64 scientists 348–357 publications: 87 scientists 358–367 publications: 60 scientists 368–377 publications: 60 scientists 378–387 publications: 34 scientists 388–397 publications: 50 scientists 398–407 publications: 44 scientists 408–417 publications: 31 scientists 418–427 publications: 39 scientists 428–437 publications: 27 scientists 438–447 publications: 36 scientists 448–457 publications: 27 scientists 458–467 publications: 29 scientists 468–477 publications: 30 scientists 478–487 publications: 19 scientists 488–497 publications: 15 scientists 498–507 publications: 18 scientists 508–517 publications: 19 scientists 518–527 publications: 16 scientists 528–537 publications: 10 scientists 538–547 publications: 11 scientists 548–557 publications: 14 scientists 558–567 publications: 11 scientists 568–577 publications: 7 scientists 578–587 publications: 14 scientists 588–597 publications: 5 scientists 598–602 publications: 4 scientists 603+ publications: 100 scientists
38–47 publications 603+

This scientist: 85 publications — 6th percentile

6% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 603 publications or more.

View publications distribution as a table
Number of Earth Science scientists by publication count, Research.com 2026 ranking edition. Based on 9,176 ranked scientists.
Publications Scientists This scientist
38–47 5
48–57 33
58–67 94
68–77 161
78–87 278 85
88–97 376
98–107 404
108–117 484
118–127 540
128–137 557
138–147 491
148–157 495
158–167 458
168–177 490
178–187 414
188–197 401
198–207 333
208–217 292
218–227 290
228–237 262
238–247 243
248–257 208
258–267 185
268–277 147
278–287 128
288–297 119
298–307 120
308–317 107
318–327 93
328–337 87
338–347 64
348–357 87
358–367 60
368–377 60
378–387 34
388–397 50
398–407 44
408–417 31
418–427 39
428–437 27
438–447 36
448–457 27
458–467 29
468–477 30
478–487 19
488–497 15
498–507 18
508–517 19
518–527 16
528–537 10
538–547 11
548–557 14
558–567 11
568–577 7
578–587 14
588–597 5
598–602 4
603+ 100
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Aida Alvera-Azcárate D-index placement in Earth Science in 2026

The chart shows the D-index (discipline H-index) distribution of Earth Science scientists ranked by Research.com in 2026. The highlighted bar marks where Aida Alvera-Azcárate sits on this spectrum.

No. of scientists
100 200 300
Bar chart with 77 bars. Horizontal axis: D-Index, 30 to 106+. Vertical axis: number of scientists, 0 to 389. Most scientists, 389, have 36 D-Index. The last bar groups every scientist with 106 D-Index or more. The highlighted bar, 30 D-Index, is where this scientist sits. 30 D-Index: 144 scientists 31 D-Index: 215 scientists 32 D-Index: 278 scientists 33 D-Index: 379 scientists 34 D-Index: 366 scientists 35 D-Index: 372 scientists 36 D-Index: 389 scientists 37 D-Index: 366 scientists 38 D-Index: 344 scientists 39 D-Index: 349 scientists 40 D-Index: 296 scientists 41 D-Index: 289 scientists 42 D-Index: 277 scientists 43 D-Index: 279 scientists 44 D-Index: 248 scientists 45 D-Index: 257 scientists 46 D-Index: 212 scientists 47 D-Index: 202 scientists 48 D-Index: 207 scientists 49 D-Index: 204 scientists 50 D-Index: 183 scientists 51 D-Index: 178 scientists 52 D-Index: 182 scientists 53 D-Index: 178 scientists 54 D-Index: 163 scientists 55 D-Index: 117 scientists 56 D-Index: 163 scientists 57 D-Index: 120 scientists 58 D-Index: 113 scientists 59 D-Index: 136 scientists 60 D-Index: 135 scientists 61 D-Index: 96 scientists 62 D-Index: 103 scientists 63 D-Index: 83 scientists 64 D-Index: 103 scientists 65 D-Index: 83 scientists 66 D-Index: 89 scientists 67 D-Index: 92 scientists 68 D-Index: 89 scientists 69 D-Index: 78 scientists 70 D-Index: 75 scientists 71 D-Index: 53 scientists 72 D-Index: 62 scientists 73 D-Index: 54 scientists 74 D-Index: 35 scientists 75 D-Index: 52 scientists 76 D-Index: 50 scientists 77 D-Index: 32 scientists 78 D-Index: 37 scientists 79 D-Index: 20 scientists 80 D-Index: 33 scientists 81 D-Index: 36 scientists 82 D-Index: 34 scientists 83 D-Index: 34 scientists 84 D-Index: 24 scientists 85 D-Index: 19 scientists 86 D-Index: 18 scientists 87 D-Index: 26 scientists 88 D-Index: 30 scientists 89 D-Index: 17 scientists 90 D-Index: 21 scientists 91 D-Index: 19 scientists 92 D-Index: 15 scientists 93 D-Index: 14 scientists 94 D-Index: 20 scientists 95 D-Index: 9 scientists 96 D-Index: 10 scientists 97 D-Index: 15 scientists 98 D-Index: 13 scientists 99 D-Index: 3 scientists 100 D-Index: 13 scientists 101 D-Index: 3 scientists 102 D-Index: 9 scientists 103 D-Index: 4 scientists 104 D-Index: 6 scientists 105 D-Index: 6 scientists 106+ D-Index: 98 scientists
30 D-Index 106+

This scientist: 30 D-Index — 2nd percentile

2% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 106 D-Index or more.

View D-Index distribution as a table
Number of Earth Science scientists by D-index, Research.com 2026 ranking edition. Based on 9,176 ranked scientists.
D-Index Scientists This scientist
30 144 30
31 215
32 278
33 379
34 366
35 372
36 389
37 366
38 344
39 349
40 296
41 289
42 277
43 279
44 248
45 257
46 212
47 202
48 207
49 204
50 183
51 178
52 182
53 178
54 163
55 117
56 163
57 120
58 113
59 136
60 135
61 96
62 103
63 83
64 103
65 83
66 89
67 92
68 89
69 78
70 75
71 53
72 62
73 54
74 35
75 52
76 50
77 32
78 37
79 20
80 33
81 36
82 34
83 34
84 24
85 19
86 18
87 26
88 30
89 17
90 21
91 19
92 15
93 14
94 20
95 9
96 10
97 15
98 13
99 3
100 13
101 3
102 9
103 4
104 6
105 6
106+ 98
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Overview

Aida Alvera-Azcárate is affiliated with the University of Liège in Belgium and specializes in Earth and Planetary Sciences with a significant focus on Environmental Science. Their research predominantly explores topics related to Oceanography and Global and Planetary Change, with additional work in Atmospheric Science, Mechanics of Materials, and Ecology.

Their principal research areas cover a broad range of oceanographic and atmospheric processes, marine and coastal ecosystems, climate variability and models, marine biology and ecology research, ocean waves and remote sensing, Arctic and Antarctic ice dynamics, and hydrocarbon exploration and reservoir analysis.

Frequent publication venues for their work include Frontiers in Marine Science, Ocean Science, Geoscientific Model Development, Ocean Dynamics, and Zenodo. The scientist has contributed extensively to these journals, with multiple papers published across each.

Among Aida Alvera-Azcárate's recent papers are:

  • "DINCAE 1.0: a convolutional neural network with error estimates to reconstruct sea surface temperature satellite observations," 2020, Geoscientific Model Development
  • "DINCAE 2.0: multivariate convolutional neural network with error estimates to reconstruct sea surface temperature satellite and altimetry observations," 2022, Geoscientific Model Development
  • "Marine heatwaves characteristics in the Mediterranean Sea: Case study the 2019 heatwave events," 2023, Frontiers in Marine Science
  • "Marine Heatwaves Offshore Central and South Chile: Understanding Forcing Mechanisms During the Years 2016-2017," 2022, Frontiers in Marine Science
  • "Analysis of 23 Years of Daily Cloud-Free Chlorophyll and Suspended Particulate Matter in the Greater North Sea," 2021, Frontiers in Marine Science

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

  • Alexander Barth
  • Jean-Marie Beckers
  • Charles Troupin
  • Bayoumy Mohamed
  • Evan Mason

Best Publications

  • Reconstruction of incomplete oceanographic data sets using empirical orthogonal functions: application to the Adriatic Sea surface temperature

    A. Alvera-Azcárate;A. Barth;M. Rixen;J.M. Beckers

  • Half a century of satellite remote sensing of sea-surface temperature

    P.J. Minnett;A. Alvera-Azcárate;T.M. Chin;G.K. Corlett

  • Generation of analysis and consistent error fields using the Data Interpolating Variational Analysis (Diva)

    C. Troupin;A. Barth;D. Sirjacobs;M. Ouberdous

  • Multivariate reconstruction of missing data in sea surface temperature, chlorophyll, and wind satellite fields

    Aida Alvera-Azcarate;Alexander Barth;J. M. Beckers;Robert H. Weisberg

  • The Surface Circulation of the Caribbean Sea and the Gulf of Mexico as Inferred from Satellite Altimetry

    Aida Alvera-Azcarate;Alexander Barth;Robert H. Weisberg

  • Ocean reanalyses: Recent advances and unsolved challenges

    Andrea Storto;Aida Alvera-Azcárate;Magdalena Alonso Balmaseda;Alexander Barth

  • DINEOF reconstruction of clouded images including error maps. Application to the Sea-Surface Temperature around Corsican Island

    J.-M. Beckers;J.-M. Beckers;A. Barth;A. Alvera-Azcárate

  • Cloud filling of ocean colour and sea surface temperature remote sensing products over the Southern North Sea by the Data Interpolating Empirical Orthogonal Functions methodology

    Damien Sirjacobs;Aida Alvera-Azcárate;Alexander Barth;Geneviève Lacroix

  • DINCAE 1.0: a convolutional neural network with error estimates to reconstruct sea surface temperature satellite observations

    Alexander Barth;Aida Alvera-Azcárate;Matjaz Licer;Jean-Marie Beckers

  • Copernicus Marine Service Ocean State Report, Issue 3

    Karina von Schuckmann;Pierre-Yves Le Traon;Neville Smith;Ananda Pascual

  • Enhancing temporal correlations in EOF expansions for the reconstruction of missing data using DINEOF

    A. Alvera-Azcárate;A. Alvera-Azcárate;A. Barth;A. Barth;D. Sirjacobs;J.-M. Beckers

  • Assimilation of High-Frequency Radar Currents in a Nested Model of the West Florida Shelf

    Alexander Barth;Alexander Barth;Aida Alvera-Azcarate;Aida Alvera-Azcarate;Robert H. Weisberg

  • A coordinated coastal ocean observing and modeling system for the West Florida Continental Shelf

    Robert H. Weisberg;Alexander Barth;Alexander Barth;Aida Alvera-Azcárate;Aida Alvera-Azcárate;Lianyuan Zheng

  • Two-way nested model of mesoscale circulation features in the Ligurian Sea

    A. Barth;A. Alvera-Azcárate;M. Rixen;J.-M. Beckers

  • Modelling eutrophication in mesotidal and macrotidal estuaries. The role of intertidal seaweeds

    A. Alvera-Azcárate;J.G. Ferreira;J.P. Nunes

  • Analysis of SMOS sea surface salinity data using DINEOF

    Aida Alvera-Azcárate;Alexander Barth;Alexander Barth;Gaëlle Parard;Jean-Marie Beckers

  • Data Interpolating Empirical Orthogonal Functions (DINEOF): a tool for geophysical data analyses

    Aida Alvera-Azcarate;Alexander Barth;Damien Sirjacobs;Fabian Lenartz

  • Synergies in operational oceanography : the intrinsic need for sustained ocean observations

    Fraser Davidson;Aida Alvera-Azcárate;Alexander Barth;Gary B. Brassington

  • divand-1.0: n -dimensional variational data analysis for ocean observations

    A. Barth;J.-M. Beckers;C. Troupin;A. Alvera-Azcárate

  • Ensemble perturbation smoother for optimizing tidal boundary conditions by assimilation of High-Frequency radar surface currents - application to the German Bight

    A. Barth;A. Barth;A. Alvera-Azcárate;A. Alvera-Azcárate;K.-W. Gurgel;J. Staneva

  • Benefit of Nesting a Regional Model into a Large-Scale Ocean Model Instead of Climatology. Application to the West Florida Shelf

    A. Barth;Aida Alvera-Azcarate;Robert H. Weisberg

Frequent Co-Authors

Alexander Barth
Alexander Barth University of Liège
Jean-Marie Beckers
Jean-Marie Beckers University of Liège
Robert H. Weisberg
Robert H. Weisberg University of South Florida St. Petersburg
Kevin Ruddick
Kevin Ruddick Royal Belgian Institute of Natural Sciences
Ananda Pascual
Ananda Pascual National Research Council (CNR)
Joanna Staneva
Joanna Staneva Helmholtz-Zentrum Geesthacht Centre for Materials and Coastal Research
Joaquín Tintoré
Joaquín Tintoré Spanish National Research Council
Emil V. Stanev
Emil V. Stanev Helmholtz-Zentrum Geesthacht Centre for Materials and Coastal Research
Peter J. Minnett
Peter J. Minnett University of Miami
Jean-Michel Brankart
Jean-Michel Brankart Institute of Environmental Geosciences

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