World's Best Scientists 2026 revealed!
Alexander Barth

Alexander Barth

D-Index & Metrics

Environmental Sciences

D-Index
36
Citations
4875
World Ranking
9150
National Ranking
114

Alexander Barth publication distribution in Environmental Sciences in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Environmental Sciences in 2026. The highlighted bar marks where Alexander Barth sits on this spectrum.

41–50 publications: 21 scientists 51–60 publications: 62 scientists 61–70 publications: 133 scientists 71–80 publications: 257 scientists 81–90 publications: 361 scientists 91–100 publications: 440 scientists 101–110 publications: 492 scientists 111–120 publications: 541 scientists 121–130 publications: 617 scientists 131–140 publications: 544 scientists 141–150 publications: 541 scientists 151–160 publications: 539 scientists 161–170 publications: 444 scientists 171–180 publications: 444 scientists 181–190 publications: 400 scientists 191–200 publications: 377 scientists 201–210 publications: 318 scientists 211–220 publications: 283 scientists 221–230 publications: 263 scientists 231–240 publications: 220 scientists 241–250 publications: 217 scientists 251–260 publications: 180 scientists 261–270 publications: 181 scientists 271–280 publications: 155 scientists 281–290 publications: 130 scientists 291–300 publications: 127 scientists 301–310 publications: 130 scientists 311–320 publications: 85 scientists 321–330 publications: 106 scientists 331–340 publications: 80 scientists 341–350 publications: 83 scientists 351–360 publications: 75 scientists 361–370 publications: 69 scientists 371–380 publications: 52 scientists 381–390 publications: 54 scientists 391–400 publications: 56 scientists 401–410 publications: 44 scientists 411–420 publications: 40 scientists 421–430 publications: 36 scientists 431–440 publications: 25 scientists 441–450 publications: 25 scientists 451–460 publications: 32 scientists 461–470 publications: 29 scientists 471–480 publications: 21 scientists 481–490 publications: 26 scientists 491–500 publications: 25 scientists 501–510 publications: 17 scientists 511–520 publications: 18 scientists 521–530 publications: 15 scientists 531–540 publications: 22 scientists 541–550 publications: 12 scientists 551–560 publications: 15 scientists 561–570 publications: 11 scientists 571–580 publications: 19 scientists 581–590 publications: 9 scientists 591–600 publications: 9 scientists 601–610 publications: 7 scientists 611–620 publications: 11 scientists 621–630 publications: 5 scientists 631–640 publications: 5 scientists 641–650 publications: 6 scientists 651–660 publications: 3 scientists 661–670 publications: 3 scientists 671–680 publications: 4 scientists 681–686 publications: 3 scientists 687+ publications: 100 scientists
41 publications 687+

This scientist: 275 publications — 82nd percentile

82% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 687 publications or more.

Alexander Barth D-index placement in Environmental Sciences in 2026

The chart shows the D-index (discipline H-index) distribution of Environmental Sciences scientists ranked by Research.com in 2026. The highlighted bar marks where Alexander Barth sits on this spectrum.

30 D-Index: 12 scientists 31 D-Index: 26 scientists 32 D-Index: 51 scientists 33 D-Index: 88 scientists 34 D-Index: 123 scientists 35 D-Index: 163 scientists 36 D-Index: 206 scientists 37 D-Index: 267 scientists 38 D-Index: 265 scientists 39 D-Index: 275 scientists 40 D-Index: 321 scientists 41 D-Index: 343 scientists 42 D-Index: 305 scientists 43 D-Index: 336 scientists 44 D-Index: 330 scientists 45 D-Index: 348 scientists 46 D-Index: 291 scientists 47 D-Index: 275 scientists 48 D-Index: 272 scientists 49 D-Index: 273 scientists 50 D-Index: 263 scientists 51 D-Index: 232 scientists 52 D-Index: 266 scientists 53 D-Index: 217 scientists 54 D-Index: 199 scientists 55 D-Index: 177 scientists 56 D-Index: 202 scientists 57 D-Index: 204 scientists 58 D-Index: 166 scientists 59 D-Index: 177 scientists 60 D-Index: 166 scientists 61 D-Index: 152 scientists 62 D-Index: 143 scientists 63 D-Index: 150 scientists 64 D-Index: 124 scientists 65 D-Index: 119 scientists 66 D-Index: 120 scientists 67 D-Index: 118 scientists 68 D-Index: 82 scientists 69 D-Index: 98 scientists 70 D-Index: 94 scientists 71 D-Index: 105 scientists 72 D-Index: 74 scientists 73 D-Index: 84 scientists 74 D-Index: 70 scientists 75 D-Index: 67 scientists 76 D-Index: 78 scientists 77 D-Index: 60 scientists 78 D-Index: 59 scientists 79 D-Index: 52 scientists 80 D-Index: 47 scientists 81 D-Index: 38 scientists 82 D-Index: 48 scientists 83 D-Index: 42 scientists 84 D-Index: 42 scientists 85 D-Index: 43 scientists 86 D-Index: 29 scientists 87 D-Index: 37 scientists 88 D-Index: 29 scientists 89 D-Index: 30 scientists 90 D-Index: 34 scientists 91 D-Index: 20 scientists 92 D-Index: 22 scientists 93 D-Index: 17 scientists 94 D-Index: 19 scientists 95 D-Index: 24 scientists 96 D-Index: 21 scientists 97 D-Index: 20 scientists 98 D-Index: 24 scientists 99 D-Index: 17 scientists 100 D-Index: 17 scientists 101 D-Index: 21 scientists 102 D-Index: 25 scientists 103 D-Index: 18 scientists 104 D-Index: 26 scientists 105 D-Index: 19 scientists 106 D-Index: 15 scientists 107 D-Index: 10 scientists 108 D-Index: 13 scientists 109 D-Index: 15 scientists 110 D-Index: 12 scientists 111 D-Index: 8 scientists 112 D-Index: 7 scientists 113 D-Index: 9 scientists 114 D-Index: 6 scientists 115 D-Index: 12 scientists 116 D-Index: 7 scientists 117 D-Index: 8 scientists 118 D-Index: 3 scientists 119 D-Index: 5 scientists 120 D-Index: 7 scientists 121 D-Index: 2 scientists 122 D-Index: 4 scientists 123 D-Index: 8 scientists 124 D-Index: 7 scientists 125+ D-Index: 99 scientists
30 D-Index 125+

This scientist: 36 D-Index — 7th percentile

7% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 125 D-Index or more.

Overview

Alexander Barth is affiliated with the University of Liège in Belgium and has contributed extensively to research in Earth and Planetary Sciences as well as Environmental Science. Their work primarily focuses on oceanography, global and planetary change, and atmospheric science, with significant involvement in aerospace and environmental engineering.

The scientist's research centers around several key topics including:

  • Oceanographic and Atmospheric Processes
  • Marine and coastal ecosystems
  • Climate variability and models
  • Meteorological Phenomena and Simulations
  • Magnetic confinement fusion research
  • Fusion materials and technologies
  • Hydrocarbon exploration and reservoir analysis

Alexander Barth has frequently published in venues such as:

  • Zenodo (CERN European Organization for Nuclear Research)
  • Frontiers in Marine Science
  • Geoscientific Model Development
  • Ocean Science
  • Nuclear Fusion

Recent publications by the scientist include:

  • DINCAE 2.0: multivariate convolutional neural network with error estimates to reconstruct sea surface temperature satellite and altimetry observations, 2022, Geoscientific Model Development
  • Overview of JET results for optimising ITER operation, 2022, Nuclear Fusion
  • Enhanced performance in fusion plasmas through turbulence suppression by megaelectronvolt ions, 2022, Nature Physics
  • A Global Ocean Oxygen Database and Atlas for Assessing and Predicting Deoxygenation and Ocean Health in the Open and Coastal Ocean, 2021, Frontiers in Marine Science
  • DINCAE 1.0: a convolutional neural network with error estimates to reconstruct sea surface temperature satellite observations, 2020, Geoscientific Model Development

The scientist has collaborated frequently with several researchers, among whom the most common co-authors include:

  • Charles Troupin
  • Aïda Alvera Azcarate
  • Jean-Marie Beckers
  • A. Ash
  • C. Balshaw

Best Publications

  • US GODAE: Global Ocean Prediction with the Hybrid Coordinate Ocean Model (HYCOM)

    Eric P Chassignet;Harley E Hurlburt;E J Metzger;Ole M Smedstad

  • 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

  • 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

  • A Global Ocean Oxygen Database and Atlas for Assessing and Predicting Deoxygenation and Ocean Health in the Open and Coastal Ocean

    Unknown

  • State-of-the-art stochastic data assimilation methods for high-dimensional non-Gaussian problems

    Sanita Vetra-Carvalho;Peter Jan van Leeuwen;Lars Nerger;Alexander Barth

  • 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

  • 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

  • High‐resolution climatology of the northeast Atlantic using Data‐Interpolating Variational Analysis (Diva)

    Charles Troupin;Francis Machin;Mohamed Ouberdous;Damien Sirjacobs

  • Super-ensemble techniques: Application to surface drift prediction

    Luc Vandenbulcke;Jean-Marie Beckers;Fabian Lenartz;Alexander Barth

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

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

  • Interannual variability of Black Sea’s hydrodynamics and connection to atmospheric patterns

    Arthur Capet;Alexander Barth;Jean-Marie Beckers;Grégoire Marilaure

  • Analysis of SMOS sea surface salinity data using DINEOF

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

  • Coastal Ocean Forecasting: science foundation and user benefits

    V.H. Kourafalou;P. De Mey;J. Staneva;N. Ayoub

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

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

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

    Robert H. Weisberg;Alexander Barth;Lianyuan Zheng

Frequent Co-Authors

Jean-Marie Beckers
Jean-Marie Beckers University of Liège
Aida Alvera-Azcárate
Aida Alvera-Azcárate University of Liège
Robert H. Weisberg
Robert H. Weisberg University of South Florida St. Petersburg
Pierre Brasseur
Pierre Brasseur Grenoble Alpes University
Jean-Michel Brankart
Jean-Michel Brankart Institute of Environmental Geosciences
Joanna Staneva
Joanna Staneva Helmholtz-Zentrum Geesthacht Centre for Materials and Coastal Research
Ananda Pascual
Ananda Pascual National Research Council (CNR)
Kevin Ruddick
Kevin Ruddick Royal Belgian Institute of Natural Sciences
Karline Soetaert
Karline Soetaert Utrecht University
Emil V. Stanev
Emil V. Stanev Helmholtz-Zentrum Geesthacht Centre for Materials and Coastal Research

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