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D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Earth Science 71 917 814 437 378 317 17489

Assefa M. Melesse publications per year

The chart shows the history of publications by Assefa M. Melesse between 2000 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Assefa M. Melesse published across 26 years, from 2000 to 2025, averaging 16.2 papers a year. Output peaked at 46 publications in 2016. 43 of the 421 publications appeared in the last two years.

No. of publications
10 20 30 40
Bar chart. Horizontal axis: year, 2000 to 2025. Vertical axis: number of publications, 0 to 46. Peak 46 publications in 2016. 2000: 1 publication 2001: 4 publications 2002: 7 publications 2003: 5 publications 2004: 3 publications 2005: 6 publications 2006: 8 publications 2007: 9 publications 2008: 14 publications 2009: 15 publications 2010: 9 publications 2011: 18 publications 2012: 14 publications 2013: 26 publications 2014: 17 publications 2015: 16 publications 2016: 46 publications 2017: 9 publications 2018: 17 publications 2019: 34 publications 2020: 24 publications 2021: 36 publications 2022: 30 publications 2023: 10 publications 2024: 20 publications 2025: 23 publications
2000 2025

421 publications in total across all disciplines

View publications per year as a table
Assefa M. Melesse: publications per year, 2000 to 2025
Year Publications
2000 1
2001 4
2002 7
2003 5
2004 3
2005 6
2006 8
2007 9
2008 14
2009 15
2010 9
2011 18
2012 14
2013 26
2014 17
2015 16
2016 46
2017 9
2018 17
2019 34
2020 24
2021 36
2022 30
2023 10
2024 20
2025 23
Total 421
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Assefa M. Melesse publication distribution in Earth Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Earth Science in 2026. The highlighted bar marks where Assefa M. Melesse sits on this spectrum.

No. of scientists
100 200 300 400 500
Bar chart with 58 bars. Horizontal axis: publications, 38–47 to 603+. Vertical axis: number of scientists, 0 to 557. Most scientists, 557, have 128–137 publications. The last bar groups every scientist with 603 publications or more. The highlighted bar, 308–317 publications, is where this scientist sits. 38–47 publications: 5 scientists 48–57 publications: 33 scientists 58–67 publications: 94 scientists 68–77 publications: 161 scientists 78–87 publications: 278 scientists 88–97 publications: 376 scientists 98–107 publications: 404 scientists 108–117 publications: 484 scientists 118–127 publications: 540 scientists 128–137 publications: 557 scientists 138–147 publications: 491 scientists 148–157 publications: 495 scientists 158–167 publications: 458 scientists 168–177 publications: 490 scientists 178–187 publications: 414 scientists 188–197 publications: 401 scientists 198–207 publications: 333 scientists 208–217 publications: 292 scientists 218–227 publications: 290 scientists 228–237 publications: 262 scientists 238–247 publications: 243 scientists 248–257 publications: 208 scientists 258–267 publications: 185 scientists 268–277 publications: 147 scientists 278–287 publications: 128 scientists 288–297 publications: 119 scientists 298–307 publications: 120 scientists 308–317 publications: 107 scientists 318–327 publications: 93 scientists 328–337 publications: 87 scientists 338–347 publications: 64 scientists 348–357 publications: 87 scientists 358–367 publications: 60 scientists 368–377 publications: 60 scientists 378–387 publications: 34 scientists 388–397 publications: 50 scientists 398–407 publications: 44 scientists 408–417 publications: 31 scientists 418–427 publications: 39 scientists 428–437 publications: 27 scientists 438–447 publications: 36 scientists 448–457 publications: 27 scientists 458–467 publications: 29 scientists 468–477 publications: 30 scientists 478–487 publications: 19 scientists 488–497 publications: 15 scientists 498–507 publications: 18 scientists 508–517 publications: 19 scientists 518–527 publications: 16 scientists 528–537 publications: 10 scientists 538–547 publications: 11 scientists 548–557 publications: 14 scientists 558–567 publications: 11 scientists 568–577 publications: 7 scientists 578–587 publications: 14 scientists 588–597 publications: 5 scientists 598–602 publications: 4 scientists 603+ publications: 100 scientists
38–47 publications 603+

This scientist: 317 publications — 88th percentile

88% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 603 publications or more.

View publications distribution as a table
Number of Earth Science scientists by publication count, Research.com 2026 ranking edition. Based on 9,176 ranked scientists.
Publications Scientists This scientist
38–47 5
48–57 33
58–67 94
68–77 161
78–87 278
88–97 376
98–107 404
108–117 484
118–127 540
128–137 557
138–147 491
148–157 495
158–167 458
168–177 490
178–187 414
188–197 401
198–207 333
208–217 292
218–227 290
228–237 262
238–247 243
248–257 208
258–267 185
268–277 147
278–287 128
288–297 119
298–307 120
308–317 107 317
318–327 93
328–337 87
338–347 64
348–357 87
358–367 60
368–377 60
378–387 34
388–397 50
398–407 44
408–417 31
418–427 39
428–437 27
438–447 36
448–457 27
458–467 29
468–477 30
478–487 19
488–497 15
498–507 18
508–517 19
518–527 16
528–537 10
538–547 11
548–557 14
558–567 11
568–577 7
578–587 14
588–597 5
598–602 4
603+ 100
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Assefa M. Melesse D-index placement in Earth Science in 2026

The chart shows the D-index (discipline H-index) distribution of Earth Science scientists ranked by Research.com in 2026. The highlighted bar marks where Assefa M. Melesse sits on this spectrum.

No. of scientists
100 200 300
Bar chart with 77 bars. Horizontal axis: D-Index, 30 to 106+. Vertical axis: number of scientists, 0 to 389. Most scientists, 389, have 36 D-Index. The last bar groups every scientist with 106 D-Index or more. The highlighted bar, 71 D-Index, is where this scientist sits. 30 D-Index: 144 scientists 31 D-Index: 215 scientists 32 D-Index: 278 scientists 33 D-Index: 379 scientists 34 D-Index: 366 scientists 35 D-Index: 372 scientists 36 D-Index: 389 scientists 37 D-Index: 366 scientists 38 D-Index: 344 scientists 39 D-Index: 349 scientists 40 D-Index: 296 scientists 41 D-Index: 289 scientists 42 D-Index: 277 scientists 43 D-Index: 279 scientists 44 D-Index: 248 scientists 45 D-Index: 257 scientists 46 D-Index: 212 scientists 47 D-Index: 202 scientists 48 D-Index: 207 scientists 49 D-Index: 204 scientists 50 D-Index: 183 scientists 51 D-Index: 178 scientists 52 D-Index: 182 scientists 53 D-Index: 178 scientists 54 D-Index: 163 scientists 55 D-Index: 117 scientists 56 D-Index: 163 scientists 57 D-Index: 120 scientists 58 D-Index: 113 scientists 59 D-Index: 136 scientists 60 D-Index: 135 scientists 61 D-Index: 96 scientists 62 D-Index: 103 scientists 63 D-Index: 83 scientists 64 D-Index: 103 scientists 65 D-Index: 83 scientists 66 D-Index: 89 scientists 67 D-Index: 92 scientists 68 D-Index: 89 scientists 69 D-Index: 78 scientists 70 D-Index: 75 scientists 71 D-Index: 53 scientists 72 D-Index: 62 scientists 73 D-Index: 54 scientists 74 D-Index: 35 scientists 75 D-Index: 52 scientists 76 D-Index: 50 scientists 77 D-Index: 32 scientists 78 D-Index: 37 scientists 79 D-Index: 20 scientists 80 D-Index: 33 scientists 81 D-Index: 36 scientists 82 D-Index: 34 scientists 83 D-Index: 34 scientists 84 D-Index: 24 scientists 85 D-Index: 19 scientists 86 D-Index: 18 scientists 87 D-Index: 26 scientists 88 D-Index: 30 scientists 89 D-Index: 17 scientists 90 D-Index: 21 scientists 91 D-Index: 19 scientists 92 D-Index: 15 scientists 93 D-Index: 14 scientists 94 D-Index: 20 scientists 95 D-Index: 9 scientists 96 D-Index: 10 scientists 97 D-Index: 15 scientists 98 D-Index: 13 scientists 99 D-Index: 3 scientists 100 D-Index: 13 scientists 101 D-Index: 3 scientists 102 D-Index: 9 scientists 103 D-Index: 4 scientists 104 D-Index: 6 scientists 105 D-Index: 6 scientists 106+ D-Index: 98 scientists
30 D-Index 106+

This scientist: 71 D-Index — 90th percentile

90% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 106 D-Index or more.

View D-Index distribution as a table
Number of Earth Science scientists by D-index, Research.com 2026 ranking edition. Based on 9,176 ranked scientists.
D-Index Scientists This scientist
30 144
31 215
32 278
33 379
34 366
35 372
36 389
37 366
38 344
39 349
40 296
41 289
42 277
43 279
44 248
45 257
46 212
47 202
48 207
49 204
50 183
51 178
52 182
53 178
54 163
55 117
56 163
57 120
58 113
59 136
60 135
61 96
62 103
63 83
64 103
65 83
66 89
67 92
68 89
69 78
70 75
71 53 71
72 62
73 54
74 35
75 52
76 50
77 32
78 37
79 20
80 33
81 36
82 34
83 34
84 24
85 19
86 18
87 26
88 30
89 17
90 21
91 19
92 15
93 14
94 20
95 9
96 10
97 15
98 13
99 3
100 13
101 3
102 9
103 4
104 6
105 6
106+ 98
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Overview

Assefa M. Melesse is affiliated with Florida International University in the United States and has a research focus in Environmental Science, with extensive work in related subfields. Their research covers key areas including Global and Planetary Change, Water Science and Technology, Environmental Engineering, Soil Science, and Atmospheric Science.

The scientist's frequent research topics include Hydrology and Watershed Management Studies, Flood Risk Assessment and Management, Soil Erosion and Sediment Transport, Hydrology and Drought Analysis, Climate Variability and Models, Precipitation Measurement and Analysis, and Groundwater and Watershed Analysis.

Recent publications by this scientist include the following papers:

  • 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
  • Flash Flood Susceptibility Modeling Using New Approaches of Hybrid and Ensemble Tree-Based Machine Learning Algorithms (2020) - Remote Sensing
  • Ensemble models of GLM, FDA, MARS, and RF for flood and erosion susceptibility mapping: a priority assessment of sub-basins (2020) - Geocarto International
  • River Water Salinity Prediction Using Hybrid Machine Learning Models (2020) - Water
  • Prediction of Future Land Use/Land Cover Changes Using a Coupled CA-ANN Model in the Upper Omo-Gibe River Basin, Ethiopia (2023) - Remote Sensing

The scientist frequently publishes in several venues, notably:

  • Remote Sensing
  • Water
  • Land
  • SSRN Electronic Journal
  • Hydrology

Collaboration is a significant aspect of their work, with frequent co-authors including Getachew Tegegne, Khabat Khosravi, Semu Ayalew Moges, Abeyou W. Worqlul, and Ethiopia B. Zeleke.

In addition to journal articles, the scientist has contributed to book publications with Springer International Publishing, including the title Nile and Grand Ethiopian Renaissance Dam published in 2021.

Best Publications

  • A Comprehensive Review on Water Quality Parameters Estimation Using Remote Sensing Techniques.

    Mohammad Haji Gholizadeh;Assefa M. Melesse;Lakshmi Reddi

  • 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

  • Land use and climate change impacts on the hydrology of the upper Mara River Basin, Kenya: results of a modeling study to support better resource management

    L. M. Mango;A. M. Melesse;M. E. McClain;M. E. McClain;D. Gann

  • Remote Sensing Sensors and Applications in Environmental Resources Mapping and Modelling.

    Assefa M Melesse;Qihao Weng;Prasad S Thenkabail;Gabriel B Senay

  • A Coupled Remote Sensing and Simplified Surface Energy Balance Approach to Estimate Actual Evapotranspiration from Irrigated Fields

    Gabriel B. Senay;Michael Budde;James P. Verdin;Assefa M. Melesse

  • Suspended sediment load prediction of river systems: An artificial neural network approach

    A. M. Melesse;Sajjad Ahmad;M. E. McClain;M. E. McClain;X. Wang

  • 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

  • SWAT model application and prediction uncertainty analysis in the Lake Tana Basin, Ethiopia

    Shimelis Gebriye Setegn;Ragahavan Srinivasan;Assefa M Melesse;Bijan Dargahi

  • Water quality assessment and apportionment of pollution sources using APCS-MLR and PMF receptor modeling techniques in three major rivers of South Florida.

    Mohammad Haji Gholizadeh;Assefa M. Melesse;Lakshmi Reddi

  • Impact of climate change on the hydroclimatology of Lake Tana Basin, Ethiopia

    Shimelis Gebriye Setegn;David Rayner;Assefa M. Melesse;Bijan Dargahi

  • Spatial delineation of soil erosion vulnerability in the Lake Tana Basin, Ethiopia.

    Shimelis Gebriye Setegn;Shimelis Gebriye Setegn;Ragahavan Srinivasan;Bijan Dargahi;Assefa M. Melesse

  • Effect of rainfall intensity, slope and antecedent moisture content on sediment concentration and sediment enrichment ratio

    Mengistu B. Defersha;Assefa M. Melesse

  • A comparison of various artificial intelligence approaches performance for estimating suspended sediment load of river systems: a case study in United States

    Ehsan Olyaie;Hossein Banejad;Kwok-Wing Chau;Assefa M. Melesse

  • Flash Flood Susceptibility Modeling Using New Approaches of Hybrid and Ensemble Tree-Based Machine Learning Algorithms

    Shahab S. Band;Saeid Janizadeh;Subodh Chandra Pal;Asish Saha

  • Landslide Susceptibility Mapping Using Different GIS-Based Bivariate Models

    Ebrahim Nohani;Meisam Moharrami;Samira Sharafi;Khabat Khosravi

  • A comparison study of DRASTIC methods with various objective methods for groundwater vulnerability assessment.

    Khabat Khosravi;Majid Sartaj;Frank T.-C. Tsai;Vijay P. Singh

  • Modeling of sediment yield in Maybar gauged watershed using SWAT, northeast Ethiopia

    Hassen M. Yesuf;Mohammed Assen;Tena Alamirew;Assefa M. Melesse

  • Modeling of Sediment Yield From Anjeni-Gauged Watershed, Ethiopia Using SWAT Model

    Shimelis Gebriye Setegn;Bijan Dargahi;Ragahavan Srinivasan;Assefa M. Melesse

  • Flood Spatial Modeling in Northern Iran Using Remote Sensing and GIS: A Comparison between Evidential Belief Functions and Its Ensemble with a Multivariate Logistic Regression Model

    Dieu Tien Bui;Khabat Khosravi;Himan Shahabi;Prasad Daggupati

  • EVALUATION OF THE SWAT MODEL'S SNOWMELT HYDROLOGY IN A NORTHWESTERN MINNESOTA WATERSHED

    X. Wang;A. M. Melesse

  • Evaporation and Evapotranspiration: Measurements and Estimations

    Wossenu Abtew;Assefa Melesse

Frequent Co-Authors

Michael E. McClain
Michael E. McClain IHE Delft Institute for Water Education
Seifu A. Tilahun
Seifu A. Tilahun Bahir Dar University
Tammo S. Steenhuis
Tammo S. Steenhuis Cornell University
Omid Rahmati
Omid Rahmati Agricultural Research Education And Extention Organization
Biswajeet Pradhan
Biswajeet Pradhan University of Technology Sydney
Himan Shahabi
Himan Shahabi University of Kurdistan
Wendy D. Graham
Wendy D. Graham University of Florida
Ataollah Shirzadi
Ataollah Shirzadi University of Kurdistan
Patrick Belmont
Patrick Belmont Utah State University
Dieu Tien Bui
Dieu Tien Bui University of South-Eastern Norway

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