World's Best Scientists 2026 revealed!
Bahram Gharabaghi

Bahram Gharabaghi

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Engineering and Technology 48 4660 4486 190 181 250 7550

Bahram Gharabaghi publications per year

The chart shows the history of publications by Bahram Gharabaghi between 1999 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Bahram Gharabaghi published across 27 years, from 1999 to 2025, averaging 12.5 papers a year. Output peaked at 38 publications in 2019. 47 of the 338 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 1999 to 2025. Vertical axis: number of publications, 0 to 38. Peak 38 publications in 2019. 1999: 2 publications 2000: 1 publication 2001: 3 publications 2002: 1 publication 2003: 0 publications 2004: 5 publications 2005: 3 publications 2006: 6 publications 2007: 10 publications 2008: 7 publications 2009: 8 publications 2010: 6 publications 2011: 7 publications 2012: 4 publications 2013: 7 publications 2014: 8 publications 2015: 21 publications 2016: 12 publications 2017: 14 publications 2018: 31 publications 2019: 38 publications 2020: 29 publications 2021: 29 publications 2022: 17 publications 2023: 22 publications 2024: 21 publications 2025: 26 publications
1999 2025

338 publications in total across all disciplines

View publications per year as a table
Bahram Gharabaghi: publications per year, 1999 to 2025
Year Publications
1999 2
2000 1
2001 3
2002 1
2003 0
2004 5
2005 3
2006 6
2007 10
2008 7
2009 8
2010 6
2011 7
2012 4
2013 7
2014 8
2015 21
2016 12
2017 14
2018 31
2019 38
2020 29
2021 29
2022 17
2023 22
2024 21
2025 26
Total 338
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Bahram Gharabaghi publications per year - data summary

  • Bahram Gharabaghi, a Engineering and Technology scholar from University of Guelph, has 338 publications recorded across 27 years, from 1999 to 2025.
  • The oldest publication on record dates to 1999 and the most recent to 2025.
  • The most productive year is 2019, with 38 publications.
  • The least productive years with any output are 2000 and 2002, with 1 publication each.
  • 1 of the 27 years in the span carries no publications at all (2003).
  • The rate of publication averages 12.5 papers per year over the whole span, or 13.0 per year counting only the 26 years with at least one publication.
  • The last 5 years on the chart (2021-2025) hold 115 publications, 34% of the career total.
  • Split into equal eras - 1999-2007: 31 publications (3.4 per year); 2008-2016: 80 publications (8.9 per year); 2017-2025: 227 publications (25.2 per year).
  • Comparing the opening and closing eras, the overall trend of publication is rising.

Bahram Gharabaghi 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 Bahram Gharabaghi 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, 248–257 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: 250 publications — 64th percentile

64% 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
248–257 280 250
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
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
Download as CSV

Bahram Gharabaghi publication distribution in Engineering and Technology in 2026 - data summary

  • The chart plots the publication count of all 9,796 Engineering and Technology scientists ranked by Research.com in 2026, grouped into 78 ranges running from 38–47 to 804+ publications.
  • Bahram Gharabaghi, a Engineering and Technology scholar from University of Guelph, records 250 publications - the 64th percentile of the discipline.
  • 64% of ranked Engineering and Technology scientists score the same or lower than Bahram Gharabaghi, and about 36% score higher.
  • The median of the discipline falls in the 198–207 publications range, and Bahram Gharabaghi ranks above the median.
  • The most crowded range is 148–157 publications, holding 457 scientists (5% of the field).
  • 61% of the field sits in the lowest quarter of the value range (up to 228–237 publications), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 804 publications or more, 100 scientists in all (1% of the field).

Bahram Gharabaghi 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 Bahram Gharabaghi 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, 48 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: 48 D-Index — 55th percentile

55% 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 48
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
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
Download as CSV

Bahram Gharabaghi D-index placement in Engineering and Technology in 2026 - data summary

  • The chart plots the discipline H-index (D-index) of all 9,796 Engineering and Technology scientists ranked by Research.com in 2026, grouped into 78 ranges running from 30 to 107+ D-Index.
  • Bahram Gharabaghi, a Engineering and Technology scholar from University of Guelph, records 48 D-Index - the 55th percentile of the discipline.
  • 55% of ranked Engineering and Technology scientists score the same or lower than Bahram Gharabaghi, and about 45% score higher.
  • The median of the discipline falls in the 47 D-Index range, and Bahram Gharabaghi ranks above the median.
  • The most crowded range is 42 D-Index, holding 426 scientists (4% of the field).
  • 57% of the field sits in the lowest quarter of the value range (up to 49 D-Index), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 107 D-Index or more, 99 scientists in all (1% of the field).

Overview

Bahram Gharabaghi is affiliated with the University of Guelph in Canada and has contributed extensively to the fields of Environmental Science and Engineering. Their research primarily focuses on areas related to hydrological forecasting, watershed management, and water-related environmental processes.

Gharabaghi's main fields of study include:

  • Environmental Science
  • Engineering

The scientist's work covers several subfields of study, such as:

  • Environmental Engineering
  • Water Science and Technology
  • Global and Planetary Change
  • Civil and Structural Engineering
  • Ecology

The core topics addressed in the research by Gharabaghi encompass:

  • Hydrological Forecasting Using AI
  • Hydrology and Watershed Management Studies
  • Flood Risk Assessment and Management
  • Hydrology and Sediment Transport Processes
  • Water Quality Monitoring Technologies
  • Hydraulic flow and structures
  • Hydrology and Drought Analysis

Some of the recent notable papers authored or co-authored by Gharabaghi include:

  • Genetic-Algorithm-Optimized Sequential Model for Water Temperature Prediction, 2020, Sustainability
  • Optimizing operating rules for multi-reservoir hydropower generation systems: An adaptive hybrid differential evolution algorithm, 2020, Renewable Energy
  • Processing, Carbonization, and Characterization of Lignin Based Electrospun Carbon Fibers: A Review, 2020, Frontiers in Energy Research
  • Mapping the spatial and temporal variability of flood susceptibility using remotely sensed normalized difference vegetation index and the forecasted changes in the future, 2021, The Science of The Total Environment
  • Hourly road pavement surface temperature forecasting using deep learning models, 2021, Journal of Hydrology

Frequent co-authors of Gharabaghi comprise:

  • Hossein Bonakdari
  • Jesse Van Griensven Thé
  • Isa Ebtehaj
  • Paulo Alexandre Costa Rocha
  • Victor Oliveira Santos

Publication venues where Gharabaghi has frequently published include:

  • Water
  • Preprints.org
  • Journal of Hydrology
  • Atmosphere
  • Sustainability

In addition to journal publications, the scientist has also contributed to book literature. One such publication through Springer Nature is titled "Computational Intelligence for Water and Environmental Sciences," published in 2022.

Best Publications

  • A Review of High Impact Weather for Aviation Meteorology

    Ismail Gultepe;Robert Sharman;Paul D. Williams;Binbin Zhou

  • Forecasting air quality time series using deep learning.

    Brian S Freeman;Graham Taylor;Bahram Gharabaghi

  • Groundwater chloride response in the Highland Creek watershed due to road salt application: A re-assessment after 20 years

    Nandana Perera;Bahram Gharabaghi;Ken Howard

  • Extreme learning machine model for water network management

    Ahmed Sattar;Ömer Faruk Ertuğrul;Bahram Gharabaghi;Edward Arthur McBean

  • Gene expression models for prediction of longitudinal dispersion coefficient in streams

    Ahmed M.A. Sattar;Bahram Gharabaghi

  • An integrated framework of Extreme Learning Machines for predicting scour at pile groups in clear water condition

    Isa Ebtehaj;Hossein Bonakdari;Fatemeh Moradi;Bahram Gharabaghi

  • Predicting wastewater treatment plant quality parameters using a novel hybrid linear-nonlinear methodology.

    Khadije Lotfi;Hossein Bonakdari;Isa Ebtehaj;Farouq S. Mjalli

  • Effectiveness of Vegetative Filter Strips in Removal of Sediments from Overland Flow

    Bahram Gharabaghi;Ramesh P. Rudra;Pradeep K. Goel

  • Prediction of flow duration curves for ungauged basins

    Maya Atieh;Graham Taylor;Ahmed M.A. Sattar;Bahram Gharabaghi

  • Novel hybrid linear stochastic with non-linear extreme learning machine methods for forecasting monthly rainfall a tropical climate.

    Mohammad Zeynoddin;Hossein Bonakdari;Arash Azari;Isa Ebtehaj

  • Development of more accurate discharge coefficient prediction equations for rectangular side weirs using adaptive neuro-fuzzy inference system and generalized group method of data handling

    Isa Ebtehaj;Hossein Bonakdari;Bahram Gharabaghi

  • Lake Water-Level fluctuations forecasting using Minimax Probability Machine Regression, Relevance Vector Machine, Gaussian Process Regression, and Extreme Learning Machine

    Hossein Bonakdari;Isa Ebtehaj;Pijush Samui;Bahram Gharabaghi

  • Predicting the Timing of Water Main Failure Using Artificial Neural Networks

    Richard Harvey;Edward A. McBean;Bahram Gharabaghi

  • A reliable linear stochastic daily soil temperature forecast model

    Mohammad Zeynoddin;Hossein Bonakdari;Isa Ebtehaj;Fatemeh Esmaeilbeiki

  • Uncertainty analysis of intelligent model of hybrid genetic algorithm and particle swarm optimization with ANFIS to predict threshold bank profile shape based on digital laser approach sensing

    Azadeh Gholami;Hossein Bonakdari;Isa Ebtehaj;Majid Mohammadian

  • Impervious surfaces and sewer pipe effects on stormwater runoff temperature

    F. Sabouri;B. Gharabaghi;A.A. Mahboubi;E.A. McBean

  • Assessment of the Contributions of Traditional Qanats in Sustainable Water Resources Management

    Homayoun Motiee;Edward Mcbean;Ali Semsar;Bahram Gharabaghi

  • Evolutionary design of generalized group method of data handling-type neural network for estimating the hydraulic jump roller length

    Hamed Azimi;Hossein Bonakdari;Isa Ebtehaj;Bahram Gharabaghi

  • Forecasting watermain failure using artificial neural network modelling

    Ahmad Asnaashari;Edward A. McBean;Bahram Gharabaghi;Donald Tutt

  • New insights into soil temperature time series modeling: linear or nonlinear?

    Hossein Bonakdari;Hamid Moeeni;Isa Ebtehaj;Mohammad Zeynoddin

  • Genetic-Algorithm-Optimized Sequential Model for Water Temperature Prediction

    Stephen Stajkowski;Deepak Kumar;Pijush Samui;Hossein Bonakdari

  • Predictive equation for longitudinal dispersion coefficient

    T. Disley;B. Gharabaghi;A. A. Mahboubi;E. A. McBean

  • Least limiting water range as affected by soil texture and cropping system

    A. Safadoust;P. Feizee;A.A. Mahboubi;B. Gharabaghi

Frequent Co-Authors

Hossein Bonakdari
Hossein Bonakdari University of Ottawa
Edward A. McBean
Edward A. McBean University of Guelph
Isa Ebtehaj
Isa Ebtehaj Université Laval
Amir Mosavi
Amir Mosavi Óbuda University
Lee E. Weiss
Lee E. Weiss Carnegie Mellon University
Spyros Beltaos
Spyros Beltaos Environment and Climate Change Canada
Brajesh Dubey
Brajesh Dubey Indian Institute of Technology Kharagpur
Prasad Daggupati
Prasad Daggupati University of Guelph
Ozgur Kisi
Ozgur Kisi Ilia State University
Ali Akbar Zinatizadeh
Ali Akbar Zinatizadeh Razi University

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