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Engineering and Technology
USA
2026

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Engineering and Technology 88 308 293 104 97 377 52572
Environmental Sciences 93 513 485 230 213 424 56661

Hoshin V. Gupta publications per year

The chart shows the history of publications by Hoshin V. Gupta between 1978 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Hoshin V. Gupta published across 48 years, from 1978 to 2025, averaging 10.8 papers a year. Output peaked at 30 publications in 2013. 35 of the 517 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 1978 to 2025. Vertical axis: number of publications, 0 to 30. Peak 30 publications in 2013. 1978: 1 publication 1979: 1 publication 1980: 0 publications 1981: 0 publications 1982: 0 publications 1983: 0 publications 1984: 0 publications 1985: 0 publications 1986: 0 publications 1987: 0 publications 1988: 0 publications 1989: 0 publications 1990: 0 publications 1991: 0 publications 1992: 1 publication 1993: 0 publications 1994: 0 publications 1995: 1 publication 1996: 3 publications 1997: 12 publications 1998: 6 publications 1999: 8 publications 2000: 7 publications 2001: 9 publications 2002: 17 publications 2003: 23 publications 2004: 20 publications 2005: 28 publications 2006: 25 publications 2007: 19 publications 2008: 18 publications 2009: 14 publications 2010: 10 publications 2011: 8 publications 2012: 13 publications 2013: 30 publications 2014: 21 publications 2015: 24 publications 2016: 26 publications 2017: 16 publications 2018: 19 publications 2019: 27 publications 2020: 23 publications 2021: 17 publications 2022: 14 publications 2023: 21 publications 2024: 26 publications 2025: 9 publications
1978 2025

517 publications in total across all disciplines

View publications per year as a table
Hoshin V. Gupta: publications per year, 1978 to 2025
Year Publications
1978 1
1979 1
1980 0
1981 0
1982 0
1983 0
1984 0
1985 0
1986 0
1987 0
1988 0
1989 0
1990 0
1991 0
1992 1
1993 0
1994 0
1995 1
1996 3
1997 12
1998 6
1999 8
2000 7
2001 9
2002 17
2003 23
2004 20
2005 28
2006 25
2007 19
2008 18
2009 14
2010 10
2011 8
2012 13
2013 30
2014 21
2015 24
2016 26
2017 16
2018 19
2019 27
2020 23
2021 17
2022 14
2023 21
2024 26
2025 9
Total 517
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Hoshin V. Gupta publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Hoshin V. Gupta sits on this spectrum.

No. of scientists
100 200 300 400
Bar chart with 78 bars. Horizontal axis: publications, 38–47 to 804+. Vertical axis: number of scientists, 0 to 457. Most scientists, 457, have 148–157 publications. The last bar groups every scientist with 804 publications or more. The highlighted bar, 368–377 publications, is where this scientist sits. 38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38–47 publications 804+

This scientist: 377 publications — 87th percentile

87% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

View publications distribution as a table
Number of Engineering and Technology scientists by publication count, Research.com 2026 ranking edition. Based on 9,796 ranked scientists.
Publications Scientists This scientist
38–47 20
48–57 35
58–67 96
68–77 135
78–87 190
88–97 259
98–107 283
108–117 369
118–127 341
128–137 386
138–147 372
148–157 457
158–167 415
168–177 407
178–187 421
188–197 378
198–207 403
208–217 317
218–227 346
228–237 321
238–247 260
248–257 280
258–267 240
268–277 214
278–287 242
288–297 203
298–307 166
308–317 154
318–327 175
328–337 159
338–347 99
348–357 131
358–367 106
368–377 118 377
378–387 97
388–397 108
398–407 82
408–417 71
418–427 64
428–437 55
438–447 54
448–457 60
458–467 47
468–477 40
478–487 30
488–497 29
498–507 38
508–517 40
518–527 32
528–537 23
538–547 28
548–557 23
558–567 19
568–577 16
578–587 17
588–597 18
598–607 22
608–617 15
618–627 9
628–637 11
638–647 21
648–657 12
658–667 9
668–677 11
678–687 9
688–697 6
698–707 14
708–717 7
718–727 8
728–737 10
738–747 9
748–757 5
758–767 5
768–777 11
778–787 7
788–797 2
798–803 4
804+ 100
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Hoshin V. Gupta D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Hoshin V. Gupta sits on this spectrum.

No. of scientists
100 200 300 400
Bar chart with 78 bars. Horizontal axis: D-Index, 30 to 107+. Vertical axis: number of scientists, 0 to 426. Most scientists, 426, have 42 D-Index. The last bar groups every scientist with 107 D-Index or more. The highlighted bar, 88 D-Index, is where this scientist sits. 30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 88 D-Index — 97th percentile

97% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

View D-Index distribution as a table
Number of Engineering and Technology scientists by D-index, Research.com 2026 ranking edition. Based on 9,796 ranked scientists.
D-Index Scientists This scientist
30 59
31 114
32 129
33 189
34 200
35 262
36 311
37 312
38 350
39 385
40 348
41 362
42 426
43 380
44 310
45 341
46 301
47 306
48 271
49 246
50 210
51 253
52 213
53 221
54 195
55 186
56 170
57 167
58 166
59 144
60 152
61 141
62 138
63 131
64 118
65 114
66 119
67 95
68 87
69 77
70 89
71 69
72 54
73 46
74 55
75 54
76 49
77 53
78 46
79 28
80 39
81 36
82 24
83 26
84 36
85 18
86 25
87 19
88 26 88
89 27
90 23
91 15
92 12
93 9
94 15
95 10
96 13
97 13
98 9
99 7
100 7
101 8
102 7
103 7
104 9
105 6
106 9
107+ 99
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Research.com Recognitions

  • 2026 - Research.com Engineering and Technology in United States Leader Award
  • 2009 - Fellow of American Geophysical Union (AGU)

Overview

Hoshin V. Gupta is affiliated with the University of Arizona in the United States. Their research primarily focuses on environmental science with significant contributions to subfields such as global and planetary change, water science and technology, environmental engineering, atmospheric science, and artificial intelligence.

The research topics covered by Gupta include hydrology and watershed management studies, flood risk assessment and management, hydrological forecasting using AI, hydrology and drought analysis, meteorological phenomena and simulations, precipitation measurement and analysis, and climate variability and models.

Gupta has a substantial publication record in various scientific venues, with frequent contributions to:

  • Water Resources Research
  • Journal of Hydrology
  • arXiv (Cornell University)
  • Environmental Modelling & Software
  • SSRN Electronic Journal

The recent papers reflecting Gupta's research interests include:

  • What Role Does Hydrological Science Play in the Age of Machine Learning? (2020), published in Water Resources Research
  • The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support (2020), published in Environmental Modelling & Software
  • Differentiable modelling to unify machine learning and physical models for geosciences (2023), published in Nature Reviews Earth & Environment
  • Deep learning rainfall-runoff predictions of extreme events (2022), published in Hydrology and Earth System Sciences
  • The delusive accuracy of global irrigation water withdrawal estimates (2022), published in Nature Communications

Frequent coauthors who have collaborated extensively with Gupta include Holger R. Maier, Feifei Zheng, Yuan-Heng Wang, Junyi Chen, and Grey Nearing.

Gupta has been recognized as a Fellow of the American Geophysical Union (AGU), an award received in 2009, indicating a professional standing within the geosciences community.

Best Publications

  • Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modelling

    Hoshin V. Gupta;Harald Kling;Koray K. Yilmaz;Guillermo F. Martinez

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

    Hoshin Vijai Gupta;Soroosh Sorooshian;Patrice Ogou Yapo

  • Artificial Neural Network Modeling of the Rainfall‐Runoff Process

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

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

    Hoshin Vijai Gupta;Soroosh Sorooshian;Patrice Ogou Yapo

  • 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

  • A decade of Predictions in Ungauged Basins (PUB)—a review

    M. Hrachowitz;H. H. G. Savenije;G. Blöschl;J. J. Mcdonnell

  • 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

  • Uncertainty in hydrologic modeling: Toward an integrated data assimilation framework

    Yuqiong Liu;Hoshin V. Gupta

  • 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

  • “Panta Rhei—Everything Flows”: Change in hydrology and society—The IAHS Scientific Decade 2013–2022

    A. Montanari;G. Young;H.H.G. Savenije;D.A. Hughes

  • 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

  • Do Nash values have value

    Bettina Schaefli;Hoshin V. Gupta

  • Towards reduced uncertainty in conceptual rainfall-runoff modelling: Dynamic identifiability analysis

    Thorsten Wagener;N McIntyre;M J Lees;H S Wheater

  • 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

  • A framework for development and application of hydrological models

    Thorsten Wagener;Douglas P. Boyle;Douglas P. Boyle;Matthew J. Lees;Howard S. Wheater

  • The future of hydrology: an evolving science for a changing world.

    Thorsten Wagener;Murugesu Sivapalan;Murugesu Sivapalan;Peter A. Troch;Brian L. McGlynn

  • Improved treatment of uncertainty in hydrologic modeling: Combining the strengths of global optimization and data assimilation

    Jasper A. Vrugt;Cees G. H. Diks;Hoshin V. Gupta;Willem Bouten

  • Framework for Understanding Structural Errors (FUSE): A modular framework to diagnose differences between hydrological models

    Martyn P. Clark;Andrew G. Slater;David E. Rupp;Ross A. Woods

Frequent Co-Authors

Soroosh Sorooshian
Soroosh Sorooshian University of California, Irvine
Thorsten Wagener
Thorsten Wagener University of Potsdam
Kuolin Hsu
Kuolin Hsu University of California, Irvine
Jasper A. Vrugt
Jasper A. Vrugt University of California, Irvine
Stewart W. Franks
Stewart W. Franks University of Tasmania
David C. Goodrich
David C. Goodrich US Department of Agriculture
Martyn P. Clark
Martyn P. Clark University of Saskatchewan
Terri S. Hogue
Terri S. Hogue Colorado School of Mines
Juan B. Valdés
Juan B. Valdés University of Arizona
Willem Bouten
Willem Bouten University of Amsterdam

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