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Soroosh Sorooshian
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Environmental Sciences
USA
2026

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Environmental Sciences 108 224 209 99 90 611 64998

Soroosh Sorooshian publications per year

The chart shows the history of publications by Soroosh Sorooshian between 1979 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Soroosh Sorooshian published across 47 years, from 1979 to 2025, averaging 13.9 papers a year. Output peaked at 36 publications in 2003. 15 of the 651 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 1979 to 2025. Vertical axis: number of publications, 0 to 36. Peak 36 publications in 2003. 1979: 1 publication 1980: 3 publications 1981: 1 publication 1982: 2 publications 1983: 6 publications 1984: 0 publications 1985: 4 publications 1986: 3 publications 1987: 7 publications 1988: 6 publications 1989: 3 publications 1990: 4 publications 1991: 3 publications 1992: 1 publication 1993: 7 publications 1994: 10 publications 1995: 3 publications 1996: 5 publications 1997: 13 publications 1998: 7 publications 1999: 21 publications 2000: 18 publications 2001: 19 publications 2002: 25 publications 2003: 36 publications 2004: 19 publications 2005: 33 publications 2006: 22 publications 2007: 31 publications 2008: 21 publications 2009: 27 publications 2010: 11 publications 2011: 25 publications 2012: 16 publications 2013: 23 publications 2014: 19 publications 2015: 19 publications 2016: 20 publications 2017: 25 publications 2018: 29 publications 2019: 34 publications 2020: 23 publications 2021: 10 publications 2022: 16 publications 2023: 5 publications 2024: 4 publications 2025: 11 publications
1979 2025

651 publications in total across all disciplines

View publications per year as a table
Soroosh Sorooshian: publications per year, 1979 to 2025
Year Publications
1979 1
1980 3
1981 1
1982 2
1983 6
1984 0
1985 4
1986 3
1987 7
1988 6
1989 3
1990 4
1991 3
1992 1
1993 7
1994 10
1995 3
1996 5
1997 13
1998 7
1999 21
2000 18
2001 19
2002 25
2003 36
2004 19
2005 33
2006 22
2007 31
2008 21
2009 27
2010 11
2011 25
2012 16
2013 23
2014 19
2015 19
2016 20
2017 25
2018 29
2019 34
2020 23
2021 10
2022 16
2023 5
2024 4
2025 11
Total 651
Download as CSV

Soroosh Sorooshian 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 Soroosh Sorooshian 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, 611–620 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: 611 publications — 99th percentile

99% 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
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 11 611
621–630 5
631–640 5
641–650 6
651–660 3
661–670 3
671–680 4
681–689 4
690+ 100
Download as CSV

Soroosh Sorooshian 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 Soroosh Sorooshian 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, 108 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: 108 D-Index — 98th percentile

98% 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
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 13 108
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
Download as CSV

Research.com Recognitions

  • 2026 - Research.com Environmental Sciences in United States Leader Award
  • 2025 - Research.com Environmental Sciences in United States Leader Award
  • 2010 - Fellow, The World Academy of Sciences
  • 2003 - Member of the National Academy of Engineering For the development of flood-forecasting models used worldwide in hydrologic services.
  • 1997 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 1994 - Fellow of American Geophysical Union (AGU)

Overview

Soroosh Sorooshian is affiliated with the University of California, Irvine in the United States. Their research primarily spans the fields of Earth and Planetary Sciences and Environmental Science, with a focus on Atmospheric Science and related subfields.

Their work covers several key topics, including:

  • Precipitation Measurement and Analysis
  • Meteorological Phenomena and Simulations
  • Climate Variability and Models
  • Hydrology and Watershed Management Studies
  • Flood Risk Assessment and Management
  • Soil Moisture and Remote Sensing
  • Hydrological Forecasting Using AI

The scientist has contributed to a variety of recent publications, such as:

  • "PERSIANN-CCS-CDR, a 3-hourly 0.04° global precipitation climate data record for heavy precipitation studies" (2021), published in Scientific Data
  • "PERSIANN Dynamic Infrared-Rain Rate (PDIR-Now): A Near-Real-Time, Quasi-Global Satellite Precipitation Dataset" (2020), published in Journal of Hydrometeorology
  • "Improving near real-time precipitation estimation using a U-Net convolutional neural network and geographical information" (2020), published in Environmental Modelling & Software
  • "Bias Correction of Satellite-Based Precipitation Estimations Using Quantile Mapping Approach in Different Climate Regions of Iran" (2020), published in Remote Sensing
  • "Evaluation of Methods for Causal Discovery in Hydrometeorological Systems" (2020), published in Water Resources Research

They have published frequently in journals including:

  • Remote Sensing
  • Journal of Hydrometeorology
  • Journal of Hydrology
  • Bulletin of the American Meteorological Society
  • Environmental Modelling & Software

Sorooshian often collaborates with several researchers, notably:

  • Kuolin Hsu
  • Phu Nguyen
  • Vesta Afzali Gorooh
  • Bita Analui
  • E. J. Shearer

The scientist has been recognized with various awards and honors, including:

  • Fellow, The World Academy of Sciences (2010)
  • Member of the National Academy of Engineering (2003) for the development of flood-forecasting models used worldwide in hydrologic services
  • Fellow of the American Association for the Advancement of Science (AAAS) (1997)
  • Fellow of American Geophysical Union (AGU) (1994)

Best Publications

  • Effective and efficient global optimization for conceptual rainfall‐runoff models

    Qingyun Duan;Soroosh Sorooshian;Vijai Gupta

  • A Modified Soil Adjusted Vegetation Index

    J. Qi;A. Chehbouni;A.R. Huete;Y.H. Kerr

  • Status of Automatic Calibration for Hydrologic Models: Comparison with Multilevel Expert Calibration

    Hoshin Vijai Gupta;Soroosh Sorooshian;Patrice Ogou Yapo

  • Shuffled complex evolution approach for effective and efficient global minimization

    Q. Y. Duan;V. K. Gupta;S. Sorooshian

  • Artificial Neural Network Modeling of the Rainfall‐Runoff Process

    Kuo‐lin ‐l Hsu;Hoshin Vijai Gupta;Soroosh Sorooshian

  • Optimal use of the SCE-UA global optimization method for calibrating watershed models

    Qingyun Duan;Soroosh Sorooshian;Vijai K. Gupta

  • Toward improved calibration of hydrologic models: Multiple and noncommensurable measures of information

    Hoshin Vijai Gupta;Soroosh Sorooshian;Patrice Ogou Yapo

  • A Review of Global Precipitation Data Sets: Data Sources, Estimation, and Intercomparisons

    Qiaohong Sun;Chiyuan Miao;Qingyun Duan;Hamed Ashouri

  • A Shuffled Complex Evolution Metropolis algorithm for optimization and uncertainty assessment of hydrologic model parameters

    Jasper A. Vrugt;Hoshin V. Gupta;Willem Bouten;Soroosh Sorooshian

  • Evaluation of PERSIANN system satellite-based estimates of tropical rainfall

    Soroosh Sorooshian;Kuo Lin Hsu;Xiaogang Gao;Hoshin V. Gupta

  • PERSIANN-CDR: Daily Precipitation Climate Data Record from Multisatellite Observations for Hydrological and Climate Studies

    Hamed Ashouri;Kuo-Lin Hsu;Soroosh Sorooshian;Dan K. Braithwaite

  • Precipitation estimation from remotely sensed information using artificial neural networks

    Kou Lin Hsu;Xiaogang Gao;Soroosh Sorooshian;Hoshin V. Gupta

  • Multi-objective global optimization for hydrologic models

    Patrice Ogou Yapo;Hoshin Vijai Gupta;Soroosh Sorooshian

  • Dual state-parameter estimation of hydrological models using ensemble Kalman filter

    Hamid Moradkhani;Soroosh Sorooshian;Hoshin Vijai Gupta;Paul R. Houser

  • Precipitation Estimation from Remotely Sensed Imagery Using an Artificial Neural Network Cloud Classification System

    Yang Hong;Kuo-Lin Hsu;Soroosh Sorooshian;Xiaogang Gao

  • Toward improved calibration of hydrologic models: Combining the strengths of manual and automatic methods

    Douglas P. Boyle;Hoshin V. Gupta;Soroosh Sorooshian

  • Uncertainty assessment of hydrologic model states and parameters: Sequential data assimilation using the particle filter

    Hamid Moradkhani;Kuo-Lin Hsu;Hoshin V. Gupta;Soroosh Sorooshian

  • Multi-model ensemble hydrologic prediction using Bayesian model averaging

    Qingyun Duan;Newsha K. Ajami;Xiaogang Gao;Soroosh Sorooshian

  • Effective and efficient algorithm for multiobjective optimization of hydrologic models

    Jasper A. Vrugt;Hoshin V. Gupta;Luis A. Bastidas;Willem Bouten

  • Automatic calibration of conceptual rainfall-runoff models: sensitivity to calibration data

    Patrice O. Yapo;Hoshin Vijai Gupta;Soroosh Sorooshian

  • Model Parameter Estimation Experiment (MOPEX): An overview of science strategy and major results from the second and third workshops

    Q. Duan;J. Schaake;V. Andréassian;S. Franks

Frequent Co-Authors

Kuolin Hsu
Kuolin Hsu University of California, Irvine
Hoshin V. Gupta
Hoshin V. Gupta University of Arizona
Amir AghaKouchak
Amir AghaKouchak University of California, Irvine
Ali Behrangi
Ali Behrangi University of Arizona
Terri S. Hogue
Terri S. Hogue Colorado School of Mines
Qingyun Duan
Qingyun Duan Hohai University
David C. Goodrich
David C. Goodrich US Department of Agriculture
Yang Hong
Yang Hong University of Oklahoma
Roger C. Bales
Roger C. Bales University of California, Merced
Hamid Moradkhani
Hamid Moradkhani University of Alabama

External Links

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