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D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Environmental Sciences 40 7953 7642 353 349 127 8437

Klaus Scipal publications per year

The chart shows the history of publications by Klaus Scipal between 2000 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Klaus Scipal published across 26 years, from 2000 to 2025, averaging 5.5 papers a year. Output peaked at 14 publications in 2009. 8 of the 143 publications appeared in the last two years.

No. of publications
5 10
Bar chart. Horizontal axis: year, 2000 to 2025. Vertical axis: number of publications, 0 to 14. Peak 14 publications in 2009. 2000: 3 publications 2001: 2 publications 2002: 3 publications 2003: 4 publications 2004: 2 publications 2005: 5 publications 2006: 4 publications 2007: 7 publications 2008: 7 publications 2009: 14 publications 2010: 6 publications 2011: 2 publications 2012: 9 publications 2013: 4 publications 2014: 6 publications 2015: 0 publications 2016: 3 publications 2017: 7 publications 2018: 8 publications 2019: 10 publications 2020: 6 publications 2021: 11 publications 2022: 4 publications 2023: 8 publications 2024: 5 publications 2025: 3 publications
2000 2025

143 publications in total across all disciplines

View publications per year as a table
Klaus Scipal: publications per year, 2000 to 2025
Year Publications
2000 3
2001 2
2002 3
2003 4
2004 2
2005 5
2006 4
2007 7
2008 7
2009 14
2010 6
2011 2
2012 9
2013 4
2014 6
2015 0
2016 3
2017 7
2018 8
2019 10
2020 6
2021 11
2022 4
2023 8
2024 5
2025 3
Total 143
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Klaus Scipal 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 Klaus Scipal sits on this spectrum.

No. of scientists
200 400 600
Bar chart with 66 bars. Horizontal axis: publications, 41–50 to 690+. Vertical axis: number of scientists, 0 to 617. Most scientists, 617, have 121–130 publications. The last bar groups every scientist with 690 publications or more. The highlighted bar, 121–130 publications, is where this scientist sits. 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
41–50 publications 690+

This scientist: 127 publications — 28th percentile

28% of scientists in this discipline score the same or lower.

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

View publications distribution as a table
Number of Environmental Sciences scientists by publication count, Research.com 2026 ranking edition. Based on 9,676 ranked scientists.
Publications Scientists This scientist
41–50 21
51–60 62
61–70 133
71–80 257
81–90 361
91–100 440
101–110 492
111–120 541
121–130 617 127
131–140 544
141–150 541
151–160 539
161–170 444
171–180 444
181–190 400
191–200 377
201–210 318
211–220 282
221–230 263
231–240 220
241–250 217
251–260 180
261–270 181
271–280 155
281–290 130
291–300 127
301–310 130
311–320 85
321–330 106
331–340 80
341–350 83
351–360 75
361–370 69
371–380 52
381–390 54
391–400 56
401–410 44
411–420 40
421–430 36
431–440 25
441–450 25
451–460 32
461–470 29
471–480 21
481–490 26
491–500 26
501–510 17
511–520 19
521–530 15
531–540 22
541–550 12
551–560 15
561–570 11
571–580 19
581–590 9
591–600 9
601–610 7
611–620 11
621–630 5
631–640 5
641–650 6
651–660 3
661–670 3
671–680 4
681–689 4
690+ 100
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Klaus Scipal 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 Klaus Scipal sits on this spectrum.

No. of scientists
100 200 300
Bar chart with 97 bars. Horizontal axis: D-Index, 30 to 126+. Vertical axis: number of scientists, 0 to 348. Most scientists, 348, have 45 D-Index. The last bar groups every scientist with 126 D-Index or more. The highlighted bar, 40 D-Index, is where this scientist sits. 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: 40 D-Index — 19th percentile

19% of scientists in this discipline score the same or lower.

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

View D-Index distribution as a table
Number of Environmental Sciences scientists by D-index, Research.com 2026 ranking edition. Based on 9,676 ranked scientists.
D-Index Scientists This scientist
30 12
31 26
32 51
33 88
34 123
35 163
36 206
37 267
38 265
39 275
40 321 40
41 343
42 305
43 336
44 330
45 348
46 291
47 275
48 272
49 273
50 263
51 232
52 266
53 217
54 198
55 177
56 202
57 204
58 166
59 177
60 166
61 152
62 143
63 150
64 124
65 119
66 120
67 118
68 82
69 98
70 94
71 105
72 74
73 84
74 70
75 67
76 78
77 60
78 59
79 52
80 47
81 38
82 48
83 42
84 42
85 43
86 29
87 37
88 29
89 30
90 34
91 20
92 22
93 17
94 19
95 24
96 21
97 20
98 24
99 17
100 17
101 21
102 25
103 18
104 26
105 20
106 15
107 10
108 13
109 15
110 12
111 8
112 7
113 9
114 6
115 12
116 7
117 8
118 3
119 5
120 7
121 2
122 4
123 8
124 7
125 9
126+ 92
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Overview

Klaus Scipal is affiliated with the European Space Agency in France. Their research primarily focuses on environmental science, earth and planetary sciences, and engineering. The subfields of study they engage in include environmental engineering, global and planetary change, aerospace engineering, atmospheric science, and aspects of management, monitoring, policy, and law related to their domains.

The main topics covered in their work include remote sensing and LiDAR applications, soil moisture and remote sensing, synthetic aperture radar (SAR) applications and techniques, landslides and related hazards, remote sensing in agriculture, oceanographic and atmospheric processes, and Arctic and Antarctic ice dynamics.

Klaus Scipal has published in several notable scientific venues. Their frequent publication venues comprise:

  • Remote Sensing of Environment
  • Remote Sensing
  • Water
  • Hydrology and earth system sciences
  • Global Change Biology

The scientist's recent publications include:

  • The International Soil Moisture Network: serving Earth system science for over a decade, 2021, Hydrology and earth system sciences
  • Mapping above-ground biomass in tropical forests with ground-cancelled P-band SAR and limited reference data, 2020, Remote Sensing of Environment
  • Toward a forest biomass reference measurement system for remote sensing applications, 2022, Global Change Biology
  • Increasing stratification as observed by satellite sea surface salinity measurements, 2022, Scientific Reports
  • TomoSense: A unique 3D dataset over temperate forest combining multi-frequency mono- and bi-static tomographic SAR with terrestrial, UAV and airborne lidar, and in-situ forest census, 2023, Remote Sensing of Environment

Klaus Scipal's collaborations include frequent co-authorship with the following researchers:

  • S. Quegan
  • Mauro Mariotti d'Alessandro
  • Stefano Tebaldini
  • Lars M. H. Ulander
  • Roberto Sabia

They have contributed to book publications as well, with a notable work published by Ghent University titled Aboveground Woody Biomass Product Validation Good Practices Protocol in 2021.

Best Publications

  • A Revised Hydrology for the ECMWF Model: Verification from Field Site to Terrestrial Water Storage and Impact in the Integrated Forecast System

    Gianpaolo Balsamo;Anton Beljaars;Klaus Scipal;Pedro Viterbo

  • Initial soil moisture retrievals from the METOP-A Advanced Scatterometer (ASCAT)

    Zoltan Bartalis;Wolfgang Wagner;Vahid Naeimi;Stefan Hasenauer

  • An Improved Soil Moisture Retrieval Algorithm for ERS and METOP Scatterometer Observations

    V. Naeimi;K. Scipal;Z. Bartalis;S. Hasenauer

  • Error characterisation of global active and passive microwave soil moisture datasets.

    W. A. Dorigo;K. Scipal;R. M. Parinussa;Y. Y. Liu;Y. Y. Liu;Y. Y. Liu

  • Evaluation of the agreement between the first global remotely sensed soil moisture data with model and precipitation data

    Wolfgang Wagner;Klaus Scipal;Carsten Pathe;Dieter Gerten

  • The International Soil Moisture Network: Serving Earth system science for over a decade

    Wouter Dorigo;Irene Himmelbauer;Daniel Aberer;Lukas Schremmer

  • Soil moisture from Operational Meteorological Satellites

    Wolfgang Wagner;Vahid Naeimi;Klaus Scipal;Richard de Jeu

  • A possible solution for the problem of estimating the error structure of global soil moisture data sets

    K. Scipal;T.R.H. Holmes;de R.A.M. Jeu;V. Naeimi

  • The European Space Agency BIOMASS mission: Measuring forest above-ground biomass from space

    Shaun Quegan;Thuy Le Toan;Jerome Chave;Jorgen Dall

  • Validation of ERS scatterometer-derived soil moisture data in the central part of the Duero Basin, Spain

    Antonio Ceballos;Klaus Scipal;Wolfgang Wagner;José Martínez-Fernández

  • Assimilation of a ERS scatterometer derived soil moisture index in the ECMWF numerical weather prediction system

    Klaus Scipal;Matthias Drusch;Wolfgang Wagner

  • The Importance of Consistent Global Forest Aboveground Biomass Product Validation

    L. Duncanson;J. Armston;M. Disney;V. Avitabile

  • Assimilating scatterometer soil moisture data into conceptual hydrologic models at the regional scale

    J. Parajka;J. Parajka;V. Naeimi;G. Blöschl;W. Wagner

  • SAR tomography for the retrieval of forest biomass and height: cross-validation at two tropical forest sites in French Guiana

    Dinh Ho Tong Minh;Dinh Ho Tong Minh;Thuy Le Toan;Fabio Rocca;Stefano Tebaldini

  • Temporal Stability of Soil Moisture and Radar Backscatter Observed by the Advanced Synthetic Aperture Radar (ASAR).

    Wolfgang Wagner;Carsten Pathe;Marcela Doubkova;Daniel Sabel

  • Theoretical uncertainty analysis of global MODIS, CYCLOPES, and GLOBCARBON LAI products using a triple collocation method

    Hongliang Fang;Shanshan Wei;Shanshan Wei;Chongya Jiang;Klaus Scipal

  • Ground Data are Essential for Biomass Remote Sensing Missions

    Jérôme Chave;Stuart J. Davies;Oliver L. Phillips;Simon L. Lewis;Simon L. Lewis

  • Large-scale soil moisture mapping in western Africa using the ERS scatterometer

    W. Wagner;K. Scipal

  • The BETHY/JSBACH Carbon Cycle Data Assimilation System: experiences and challenges

    T. Kaminski;W. Knorr;G. Schürmann;M. Scholze

  • Soil moisture-runoff relation at the catchment scale as observed with coarse resolution microwave remote sensing

    K. Scipal;C. Scheffler;W. Wagner

Frequent Co-Authors

Shaun Quegan
Shaun Quegan University of Sheffield
Stefano Tebaldini
Stefano Tebaldini Polytechnic University of Milan
Lars M. H. Ulander
Lars M. H. Ulander Chalmers University of Technology
Thuy Le Toan
Thuy Le Toan Paul Sabatier University
Jérôme Chave
Jérôme Chave Paul Sabatier University
Matthias Drusch
Matthias Drusch European Space Agency
Maxime Réjou-Méchain
Maxime Réjou-Méchain Institut de Recherche pour le Développement
Annett Bartsch
Annett Bartsch Central Institution for Meteorology and Geodynamics
Sassan Saatchi
Sassan Saatchi California Institute of Technology

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