World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
46
Citations
9812
World Ranking
5996
National Ranking
2

Patrick Matgen 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 Patrick Matgen 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: 282 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: 26 scientists 501–510 publications: 17 scientists 511–520 publications: 19 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 681–689 publications: 4 scientists 690+ publications: 100 scientists
41 publications 690+

This scientist: 217 publications — 70th percentile

70% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 690 publications or more.

Patrick Matgen 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 Patrick Matgen 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: 198 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: 20 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: 9 scientists 126+ D-Index: 92 scientists
30 D-Index 126+

This scientist: 46 D-Index — 39th percentile

39% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 126 D-Index or more.

Overview

Patrick Matgen is affiliated with the Luxembourg Institute of Science and Technology in Luxembourg. Their research primarily focuses on environmental science and earth and planetary sciences, with significant contributions to global and planetary change and atmospheric science. The scope of their work extends to subfields such as water science and technology, environmental engineering, and aerospace engineering.

The scientist's main areas of study encompass flood risk assessment and management, precipitation measurement and analysis, hydrology and watershed management studies, tropical and extratropical cyclones research, hydrology and drought analysis, soil moisture and remote sensing, and synthetic aperture radar (SAR) applications and techniques.

Patrick Matgen has published research in a variety of well-regarded scientific venues. Their frequent publication venues include:

  • Remote Sensing
  • arXiv (Cornell University)
  • IEEE Geoscience and Remote Sensing Letters
  • Water Resources Research
  • Remote Sensing of Environment

The scientist has coauthored studies with several frequent collaborators, including:

  • Marco Chini
  • Renaud Hostache
  • Ramona Pelich
  • Jie Zhao
  • Yu Li

Recent publications by Patrick Matgen include:

  • Understanding the Information Content in the Hierarchy of Model Development Decisions: Learning From Data, 2021, Water Resources Research
  • Ambiguous Agricultural Drought: Characterising Soil Moisture and Vegetation Droughts in Europe from Earth Observation, 2021, Remote Sensing
  • A large-scale 2005-2012 flood map record derived from ENVISAT-ASAR data: United Kingdom as a test case, 2021, Remote Sensing of Environment
  • Coastline Detection Based on Sentinel-1 Time Series for Ship- and Flood-Monitoring Applications, 2020, IEEE Geoscience and Remote Sensing Letters
  • Deriving exclusion maps from C-band SAR time-series in support of floodwater mapping, 2021, Remote Sensing of Environment

Best Publications

  • Soil moisture estimation through ASCAT and AMSR-E sensors: An intercomparison and validation study across Europe

    L. Brocca;S. Hasenauer;T. Lacava;F. Melone

  • Influence of uncertain boundary conditions and model structure on flood inundation predictions.

    Florian Pappenberger;Patrick Matgen;Keith J. Beven;Jean-Baptiste Henry

  • A Change Detection Approach to Flood Mapping in Urban Areas Using TerraSAR-X

    L. Giustarini;R. Hostache;P. Matgen;Guy J.-P Schumann

  • Towards an automated SAR-based flood monitoring system: Lessons learned from two case studies

    P. Matgen;R. Hostache;G. Schumann;L. Pfister

  • Progress in integration of remote sensing– derived flood extent and stage data and hydraulic models

    Guy Schumann;Paul D. Bates;Matthew S. Horritt;Patrick Matgen

  • Multi-method global sensitivity analysis of flood inundation models.

    Florian Pappenberger;Keith J. Beven;Keith J. Beven;Marco Ratto;Patrick Matgen

  • Understanding catchment behavior through stepwise model concept improvement

    Fabrizio Fenicia;Hubert H. G. Savenije;Patrick Matgen;Laurent Pfister

  • A Hierarchical Split-Based Approach for Parametric Thresholding of SAR Images: Flood Inundation as a Test Case

    Marco Chini;Renaud Hostache;Laura Giustarini;Patrick Matgen

  • Integration of SAR-derived river inundation areas, high-precision topographic data and a river flow model toward near real-time flood management

    Patrick Matgen;Guy J.-P. Schumann;Jean-Baptiste Henry;Lucien Hoffmann

  • Comparison of remotely sensed water stages from LiDAR, topographic contours and SRTM

    G. Schumann;P. Matgen;M.E.J. Cutler;A. Black

  • Flood detection from multi-temporal SAR data using harmonic analysis and change detection

    Stefan Schlaffer;Patrick Matgen;Markus Hollaus;Wolfgang Wagner

  • High-Resolution 3-D Flood Information From Radar Imagery for Flood Hazard Management

    G. Schumann;R. Hostache;C. Puech;L. Hoffmann

  • Is the groundwater reservoir linear? Learning from data in hydrological modelling

    F. Fenicia;H. H. G. Savenije;P. Matgen;L. Pfister

  • Sentinel-1 InSAR Coherence to Detect Floodwater in Urban Areas: Houston and Hurricane Harvey as A Test Case

    Marco Chini;Ramona Pelich;Luca Pulvirenti;Nazzareno Pierdicca

  • A comparison of alternative multiobjective calibration strategies for hydrological modeling

    Fabrizio Fenicia;Hubert H. G. Savenije;Patrick Matgen;Laurent Pfister

  • Towards a limits of acceptability approach to the calibration of hydrological models : Extending observation error

    Yanli Liu;Jim Freer;Keith J. Beven;Keith J. Beven;Patrick Matgen

  • Towards the sequential assimilation of SAR-derived water stages into hydraulic models using the Particle Filter: proof of concept

    P. Matgen;M. Montanari;R. Hostache;L. Pfister

  • A data assimilation approach to discharge estimation from space

    Jeffrey Neal;Guy Schumann;Paul Bates;Wouter Buytaert

  • Deriving distributed roughness values from satellite radar data for flood inundation modelling

    G. Schumann;P. Matgen;L. Hoffmann;R. Hostache

  • Assimilating SAR-derived water level data into a hydraulic model: A case study

    L. Giustarini;P. Matgen;R. Hostache;M. Montanari

  • Near-Real-Time Assimilation of SAR-Derived Flood Maps for Improving Flood Forecasts

    Renaud Hostache;Marco Chini;Laura Giustarini;Jeffrey Neal

Frequent Co-Authors

Marco Chini
Marco Chini National Institute of Geophysics and Volcanology
Laurent Pfister
Laurent Pfister Luxembourg Institute of Science and Technology
Lucien Hoffmann
Lucien Hoffmann Luxembourg Institute of Science and Technology
Guy Schumann
Guy Schumann University of Bristol
Florian Pappenberger
Florian Pappenberger European Centre for Medium-Range Weather Forecasts
Hubert H. G. Savenije
Hubert H. G. Savenije Delft University of Technology
Niko E. C. Verhoest
Niko E. C. Verhoest Ghent University
Valentijn R. N. Pauwels
Valentijn R. N. Pauwels Monash University
Paul D Bates
Paul D Bates University of Bristol
Nazzareno Pierdicca
Nazzareno Pierdicca Sapienza University of Rome

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