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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 37 8973 8608 201 198 113 4411

Angelica Tarpanelli publications per year

The chart shows the history of publications by Angelica Tarpanelli between 2009 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Angelica Tarpanelli published across 18 years, from 2009 to 2026, averaging 9.6 papers a year. Output peaked at 33 publications in 2022. 17 of the 172 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 2009 to 2026. Vertical axis: number of publications, 0 to 33. Peak 33 publications in 2022. 2009: 1 publication 2010: 2 publications 2011: 4 publications 2012: 3 publications 2013: 8 publications 2014: 4 publications 2015: 11 publications 2016: 3 publications 2017: 7 publications 2018: 11 publications 2019: 14 publications 2020: 12 publications 2021: 19 publications 2022: 33 publications 2023: 13 publications 2024: 10 publications 2025: 12 publications 2026: 5 publications
2009 2026

172 publications in total across all disciplines

View publications per year as a table
Angelica Tarpanelli: publications per year, 2009 to 2026
Year Publications
2009 1
2010 2
2011 4
2012 3
2013 8
2014 4
2015 11
2016 3
2017 7
2018 11
2019 14
2020 12
2021 19
2022 33
2023 13
2024 10
2025 12
2026 5
Total 172
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Angelica Tarpanelli 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 Angelica Tarpanelli 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, 111–120 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: 113 publications — 20th percentile

20% 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
111–120 541 113
121–130 617
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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Angelica Tarpanelli 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 Angelica Tarpanelli 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, 37 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: 37 D-Index — 10th percentile

10% 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 37
38 265
39 275
40 321
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

Angelica Tarpanelli is affiliated with the National Research Council (CNR) in Italy and contributes to research primarily in the fields of Environmental Science and Earth and Planetary Sciences. Their work is focused on subfields including Water Science and Technology, Global and Planetary Change, Atmospheric Science, Environmental Engineering, and Oceanography.

The scientist's research covers key topics such as Hydrology and Watershed Management Studies, Flood Risk Assessment and Management, Precipitation Measurement and Analysis, Soil Moisture and Remote Sensing, Geophysics and Gravity Measurements, Hydrology and Sediment Transport Processes, and Remote Sensing and LiDAR Applications.

Recent publications by Angelica Tarpanelli include:

  • "Effectiveness of Sentinel-1 and Sentinel-2 for flood detection assessment in Europe" (2022), published in Natural Hazards and Earth System Sciences
  • "High-resolution satellite products improve hydrological modeling in northern Italy" (2022), published in Hydrology and Earth System Sciences
  • "Flood Modeling and Prediction Using Earth Observation Data" (2022), published in Surveys in Geophysics
  • "A Review of Irrigation Information Retrievals from Space and Their Utility for Users" (2021), published in Remote Sensing
  • "A Framework for Estimating Global River Discharge From the Surface Water and Ocean Topography Satellite Mission" (2023), published in Water Resources Research

Frequent co-authors of Angelica Tarpanelli include Luca Brocca, Christian Massari, Sara Modanesi, Silvia Barbetta, and Raphael Quast. Their collaborative works have contributed to advancing research in hydrology and remote sensing among other areas.

The scientist's work is often published in venues such as Zenodo (CERN European Organization for Nuclear Research), Hydrology and Earth System Sciences, Remote Sensing, Remote Sensing of Environment, and the Journal of Hydrology. These publication venues reflect a focus on hydrological modeling, environmental monitoring, and remote sensing applications.

Best Publications

  • Soil Moisture for Hydrological Applications: Open Questions and New Opportunities

    Luca Brocca;Luca Ciabatta;Christian Massari;Stefania Camici

  • Altimetry for the future: building on 25 years of progress

    Saleh Abdalla;Abdolnabi Abdeh Kolahchi;Michaël Ablain;Susheel Adusumilli

  • How much water is used for irrigation? A new approach exploiting coarse resolution satellite soil moisture products

    Luca Brocca;Angelica Tarpanelli;Paolo Filippucci;Wouter Dorigo

  • Measurements and Observations in the XXI century (MOXXI): innovation and multi-disciplinarity to sense the hydrological cycle

    Flavia Tauro;John Selker;Nick van de Giesen;Tommaso Abrate

  • A Review of Irrigation Information Retrievals from Space and Their Utility for Users

    Christian Massari;Sara Modanesi;Jacopo Dari;Alexander Gruber

  • River Discharge Estimation by Using Altimetry Data and Simplified Flood Routing Modeling

    Angelica Tarpanelli;Silvia Barbetta;Luca Brocca;Tommaso Moramarco

  • Estimating irrigation water use over the contiguous United States by combining satellite and reanalysis soil moisture data

    Felix Zaussinger;Wouter Dorigo;Alexander Gruber;Alexander Gruber;Angelica Tarpanelli

  • A Review of the Applications of ASCAT Soil Moisture Products

    Luca Brocca;Wade T. Crow;Luca Ciabatta;Christian Massari

  • Effectiveness of Sentinel-1 and Sentinel-2 for flood detection assessment in Europe

    Unknown

  • Spatiotemporal densification of river water level time series by multimission satellite altimetry

    M. J. Tourian;A. Tarpanelli;O. Elmi;T. Qin

  • The use of remote sensing-derived water surface data for hydraulic model calibration

    Alessio Domeneghetti;Angelica Tarpanelli;Luca Brocca;Silvia Barbetta

  • Toward the estimation of river discharge variations using MODIS data in ungauged basins

    Angelica Tarpanelli;Luca Brocca;Teodosio Lacava;Florisa Melone

  • Data Assimilation of Satellite Soil Moisture into Rainfall-Runoff Modelling: A Complex Recipe?

    Christian Massari;Luca Brocca;Angelica Tarpanelli;Tommaso Moramarco

  • A Framework for Estimating Global River Discharge From the Surface Water and Ocean Topography Satellite Mission

    Unknown

  • Design soil moisture estimation by comparing continuous and storm-based rainfall-runoff modeling

    S. Camici;A. Tarpanelli;L. Brocca;F. Melone

  • Discharge estimation and forecasting by MODIS and altimetry data in Niger-Benue River

    Angelica Tarpanelli;Giriraj Amarnath;Luca Brocca;Christian Massari

  • Flood Modeling and Prediction Using Earth Observation Data

    Unknown

  • Regional data sets of high-resolution (1 and 6 km) irrigation estimates from space

    Unknown

  • Coupling MODIS and Radar Altimetry Data for Discharge Estimation in Poorly Gauged River Basins

    Angelica Tarpanelli;Luca Brocca;Silvia Barbetta;Mariapia Faruolo

  • River Bathymetry Estimate and Discharge Assessment from Remote Sensing

    Tommaso Moramarco;Silvia Barbetta;David M. Bjerklie;John W. Fulton

  • Preface: Remote sensing for flood mapping and monitoring of flood dynamics

    Alessio Domeneghetti;Guy J.P. Schumann;Angelica Tarpanelli

  • Daily River Discharge Estimates by Merging Satellite Optical Sensors and Radar Altimetry Through Artificial Neural Network

    Angelica Tarpanelli;Emanuele Santi;Mohammad J. Tourian;Paolo Filippucci

  • From Surface Flow Velocity Measurements to Discharge Assessment by the Entropy Theory

    Tommaso Moramarco;Silvia Barbetta;Angelica Tarpanelli

  • Soil moisture as a potential variable for tracking and quantifying irrigation: a case study with proximal gamma-ray spectroscopy data

    Paolo Filippucci;Angelica Tarpanelli;Christian Massari;Andrea Serafini

Frequent Co-Authors

Tommaso Moramarco
Tommaso Moramarco National Research Council (CNR)
Christian Massari
Christian Massari National Research Council (CNR)
Luca Brocca
Luca Brocca National Research Council (CNR)
Jérôme Benveniste
Jérôme Benveniste University of Toulouse-Jean Jaurès
Attilio Castellarin
Attilio Castellarin University of Bologna
Renato Morbidelli
Renato Morbidelli University of Perugia
Guy Schumann
Guy Schumann University of Bristol
Nico Sneeuw
Nico Sneeuw University of Stuttgart
Peter Bauer-Gottwein
Peter Bauer-Gottwein Technical University of Denmark

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