World's Best Scientists 2026 revealed!
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Omid Rahmati
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Rising Stars
2025

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Rising Stars 50 321 321 16 16 98 9944
Environmental Sciences 54 4017 3842 12 12 96 11734

Omid Rahmati publications per year

The chart shows the history of publications by Omid Rahmati between 2015 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Omid Rahmati published across 11 years, from 2015 to 2025, averaging 10.5 papers a year. Output peaked at 23 publications in 2019. 15 of the 115 publications appeared in the last two years.

No. of publications
5 10 15 20
Bar chart. Horizontal axis: year, 2015 to 2025. Vertical axis: number of publications, 0 to 23. Peak 23 publications in 2019. 2015: 3 publications 2016: 8 publications 2017: 5 publications 2018: 9 publications 2019: 23 publications 2020: 15 publications 2021: 20 publications 2022: 10 publications 2023: 7 publications 2024: 10 publications 2025: 5 publications
2015 2025

115 publications in total across all disciplines

View publications per year as a table
Omid Rahmati: publications per year, 2015 to 2025
Year Publications
2015 3
2016 8
2017 5
2018 9
2019 23
2020 15
2021 20
2022 10
2023 7
2024 10
2025 5
Total 115
Download as CSV

Omid Rahmati publications per year - data summary

  • Omid Rahmati, a Environmental Sciences scholar from Agricultural Research Education And Extention Organization, has 115 publications recorded across 11 years, from 2015 to 2025.
  • The oldest publication on record dates to 2015 and the most recent to 2025.
  • The most productive year is 2019, with 23 publications.
  • The least productive year with any output is 2015, with 3 publications.
  • The rate of publication averages 10.5 papers per year over the whole span, or 10.5 per year counting only the 11 years with at least one publication.
  • The last 5 years on the chart (2021-2025) hold 52 publications, 45% of the career total.
  • Split into equal eras - 2015-2018: 25 publications (6.3 per year); 2019-2022: 68 publications (17.0 per year); 2023-2025: 22 publications (7.3 per year).
  • Comparing the opening and closing eras, the overall trend of publication is broadly steady.

Omid Rahmati 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 Omid Rahmati 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, 91–100 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: 96 publications — 11th percentile

11% 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 96
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
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

Omid Rahmati publication distribution in Environmental Sciences in 2026 - data summary

  • The chart plots the publication count of all 9,676 Environmental Sciences scientists ranked by Research.com in 2026, grouped into 66 ranges running from 41–50 to 690+ publications.
  • Omid Rahmati, a Environmental Sciences scholar from Agricultural Research Education And Extention Organization, records 96 publications - the 11th percentile of the discipline.
  • 11% of ranked Environmental Sciences scientists score the same or lower than Omid Rahmati, and about 89% score higher.
  • The median of the discipline falls in the 161–170 publications range, and Omid Rahmati ranks below the median.
  • The most crowded range is 121–130 publications, holding 617 scientists (6% of the field).
  • 67% of the field sits in the lowest quarter of the value range (up to 201–210 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 690 publications or more, 100 scientists in all (1% of the field).

Omid Rahmati 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 Omid Rahmati 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, 54 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: 54 D-Index — 59th percentile

59% 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 54
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
Download as CSV

Omid Rahmati D-index placement in Environmental Sciences in 2026 - data summary

  • The chart plots the discipline H-index (D-index) of all 9,676 Environmental Sciences scientists ranked by Research.com in 2026, grouped into 97 ranges running from 30 to 126+ D-Index.
  • Omid Rahmati, a Environmental Sciences scholar from Agricultural Research Education And Extention Organization, records 54 D-Index - the 59th percentile of the discipline.
  • 59% of ranked Environmental Sciences scientists score the same or lower than Omid Rahmati, and about 41% score higher.
  • The median of the discipline falls in the 51 D-Index range, and Omid Rahmati ranks above the median.
  • The most crowded range is 45 D-Index, holding 348 scientists (4% of the field).
  • 59% of the field sits in the lowest quarter of the value range (up to 54 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 126 D-Index or more, 92 scientists in all (<1% of the field).

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Omid Rahmati is affiliated with the Agricultural Research Education And Extention Organization in Iran. Their research primarily focuses on environmental science, with specific emphasis on areas related to flood risk assessment and management, soil erosion, sediment transport, and hydrology.

The main fields of study for Rahmati include:

  • Environmental Science

More detailed subfields of their research encompass:

  • Global and Planetary Change
  • Soil Science
  • Water Science and Technology
  • Environmental Engineering
  • Ecology

Key topics they have worked on involve:

  • Flood Risk Assessment and Management
  • Soil erosion and sediment transport
  • Hydrology and Watershed Management Studies
  • Hydrology and Sediment Transport Processes
  • Groundwater and Watershed Analysis
  • Landslides and related hazards
  • Hydrology and Drought Analysis

Omid Rahmati has coauthored extensively with several researchers, indicating collaborative contributions in their field. Frequent coauthors include:

  • Zahra Kalantari
  • Mahdi Panahi
  • Carla Ferreira
  • Dieu Tien Bui
  • Saro Lee

Their work has been published repeatedly in certain journals reflecting their research focus. Frequent publication venues are:

  • Journal of Hydrology
  • Geocarto International
  • The Science of The Total Environment
  • Remote Sensing
  • Scientific Reports

Recent representative papers authored or coauthored by Rahmati include:

  • Development of novel hybridized models for urban flood susceptibility mapping, 2020, Scientific Reports
  • Flood susceptibility mapping with machine learning, multi-criteria decision analysis and ensemble using Dempster Shafer Theory, 2020, Journal of Hydrology
  • Flood Detection and Susceptibility Mapping Using Sentinel-1 Remote Sensing Data and a Machine Learning Approach: Hybrid Intelligence of Bagging Ensemble Based on K-Nearest Neighbor Classifier, 2020, Remote Sensing
  • Urban flood modeling using deep-learning approaches in Seoul, South Korea, 2021, Journal of Hydrology
  • Deep learning neural networks for spatially explicit prediction of flash flood probability, 2020, Geoscience Frontiers

Best Publications

  • Groundwater potential mapping at Kurdistan region of Iran using analytic hierarchy process and GIS

    Omid Rahmati;Aliakbar Nazari Samani;Mohamad Mahdavi;Hamid Reza Pourghasemi

  • Application of GIS-based data driven random forest and maximum entropy models for groundwater potential mapping: A case study at Mehran Region, Iran

    Omid Rahmati;Hamid Reza Pourghasemi;Assefa M. Melesse

  • Flood susceptibility mapping using frequency ratio and weights-of-evidence models in the Golastan Province, Iran

    Omid Rahmati;Hamid Reza Pourghasemi;Hossein Zeinivand

  • Application of analytical hierarchy process, frequency ratio, and certainty factor models for groundwater potential mapping using GIS

    Yousef Razandi;Hamid Reza Pourghasemi;Najmeh Samani Neisani;Omid Rahmati

  • Flood hazard zoning in Yasooj region, Iran, using GIS and multi-criteria decision analysis

    Omid Rahmati;Hossein Zeinivand;Mosa Besharat

  • Prediction of the landslide susceptibility: Which algorithm, which precision?

    Hamid Reza Pourghasemi;Omid Rahmati

  • Urban flood risk mapping using the GARP and QUEST models: A comparative study of machine learning techniques

    Hamid Darabi;Bahram Choubin;Omid Rahmati;Ali Torabi Haghighi

  • Flood Detection and Susceptibility Mapping Using Sentinel-1 Remote Sensing Data and a Machine Learning Approach: Hybrid Intelligence of Bagging Ensemble Based on K-Nearest Neighbor Classifier

    Himan Shahabi;Ataollah Shirzadi;Kayvan Ghaderi;Ebrahim Omidvar

  • Flood susceptibility mapping with machine learning, multi-criteria decision analysis and ensemble using Dempster Shafer Theory

    Thimmaiah Gudiyangada Nachappa;Sepideh Tavakkoli Piralilou;Khalil Gholamnia;Omid Ghorbanzadeh

  • A novel machine learning-based approach for the risk assessment of nitrate groundwater contamination

    Farzaneh Sajedi-Hosseini;Arash Malekian;Bahram Choubin;Omid Rahmati

  • Evaluation of different machine learning models for predicting and mapping the susceptibility of gully erosion

    Omid Rahmati;Nasser Tahmasebipour;Ali Haghizadeh;Hamid Reza Pourghasemi

  • River suspended sediment modelling using the CART model: A comparative study of machine learning techniques.

    Bahram Choubin;Hamid Darabi;Omid Rahmati;Farzaneh Sajedi-Hosseini

  • Gully erosion susceptibility mapping: the role of GIS-based bivariate statistical models and their comparison

    Omid Rahmati;Ali Haghizadeh;Hamid Reza Pourghasemi;Farhad Noormohamadi

  • Predicting uncertainty of machine learning models for modelling nitrate pollution of groundwater using quantile regression and UNEEC methods.

    Omid Rahmati;Bahram Choubin;Abolhasan Fathabadi;Frederic Coulon

  • Evaluating the influence of geo-environmental factors on gully erosion in a semi-arid region of Iran: An integrated framework.

    Omid Rahmati;Naser Tahmasebipour;Ali Haghizadeh;Hamid Reza Pourghasemi

  • Modelling gully-erosion susceptibility in a semi-arid region, Iran: Investigation of applicability of certainty factor and maximum entropy models

    Ali Azareh;Omid Rahmati;Elham Rafiei-Sardooi;Joel B. Sankey

  • Delineation of groundwater potential zones using remote sensing and GIS-based data-driven models

    Samira Ghorbani Nejad;Fatemeh Falah;Mania Daneshfar;Ali Haghizadeh

  • Spatial analysis of groundwater potential using weights-of-evidence and evidential belief function models and remote sensing

    Naser Tahmassebipoor;Omid Rahmati;Farhad Noormohamadi;Saro Lee

  • Machine learning approaches for spatial modeling of agricultural droughts in the south-east region of Queensland Australia

    Omid Rahmati;Fatemeh Falah;Kavina Shaanu Dayal;Ravinesh C. Deo

  • Urban flood modeling using deep-learning approaches in Seoul, South Korea

    Xinxiang Lei;Wei Chen;Wei Chen;Mahdi Panahi;Fatemeh Falah

  • Spatial prediction of flood-susceptible areas using frequency ratio and maximum entropy models

    Safura Siahkamari;Ali Haghizadeh;Hossein Zeinivand;Naser Tahmasebipour

  • Identification of Critical Flood Prone Areas in Data-Scarce and Ungauged Regions: A Comparison of Three Data Mining Models

    Omid Rahmati;Hamid Reza Pourghasemi

  • Groundwater spring potential modelling: Comprising the capability and robustness of three different modeling approaches

    Omid Rahmati;Seyed Amir Naghibi;Himan Shahabi;Dieu Tien Bui

Frequent Co-Authors

Dieu Tien Bui
Dieu Tien Bui University of South-Eastern Norway
Biswajeet Pradhan
Biswajeet Pradhan University of Technology Sydney
Hamid Reza Pourghasemi
Hamid Reza Pourghasemi Shiraz University
Zahra Kalantari
Zahra Kalantari Royal Institute of Technology
Assefa M. Melesse
Assefa M. Melesse Florida International University
Himan Shahabi
Himan Shahabi University of Kurdistan
Ravinesh C. Deo
Ravinesh C. Deo University of Southern Queensland
Ataollah Shirzadi
Ataollah Shirzadi University of Kurdistan
Saro Lee
Saro Lee Korea Institute of Geoscience and Mineral Resources
Saskia Keesstra
Saskia Keesstra Wageningen University & Research

External Links

Personal website of Omid Rahmati Google Scholar page

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