World's Best Scientists 2026 revealed!
Khabat Khosravi

Khabat Khosravi

D-Index & Metrics

Environmental Sciences

D-Index
52
Citations
11080
World Ranking
4449
National Ranking
16

Khabat Khosravi 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 Khabat Khosravi sits on this spectrum.

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 publications 690+

This scientist: 132 publications — 31st percentile

31% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 690 publications or more.

Khabat Khosravi 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 Khabat Khosravi sits on this spectrum.

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: 52 D-Index — 55th percentile

55% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 126 D-Index or more.

Best Publications

  • A comparative assessment of decision trees algorithms for flash flood susceptibility modeling at Haraz watershed, northern Iran.

    Khabat Khosravi;Binh Thai Pham;Kamran Chapi;Ataollah Shirzadi

  • A comparative assessment of flood susceptibility modeling using Multi-Criteria Decision-Making Analysis and Machine Learning Methods

    Khabat Khosravi;Himan Shahabi;Binh Thai Pham;Jan Adamowski

  • A novel hybrid artificial intelligence approach for flood susceptibility assessment

    Kamran Chapi;Vijay P. Singh;Ataollah Shirzadi;Himan Shahabi

  • Assessment of advanced random forest and decision tree algorithms for modeling rainfall-induced landslide susceptibility in the Izu-Oshima Volcanic Island, Japan

    Jie Dou;Ali P. Yunus;Dieu Tien Bui;Abdelaziz Merghadi

  • A GIS-based flood susceptibility assessment and its mapping in Iran: a comparison between frequency ratio and weights-of-evidence bivariate statistical models with multi-criteria decision-making technique

    Khabat Khosravi;Ebrahim Nohani;Edris Maroufinia;Hamid Reza Pourghasemi

  • Improving prediction of water quality indices using novel hybrid machine-learning algorithms.

    Duie Tien Bui;Khabat Khosravi;John Tiefenbacher;Hoang Nguyen

  • 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

  • Evaluation of deep learning algorithms for national scale landslide susceptibility mapping of Iran

    Phuong Thao Thi Ngo;Mahdi Panahi;Khabat Khosravi;Omid Ghorbanzadeh

  • Flash flood susceptibility analysis and its mapping using different bivariate models in Iran: a comparison between Shannon ' s entropy, statistical index, and weighting factor models.

    Khabat Khosravi;Hamid Reza Pourghasemi;Kamran Chapi;Masoumeh Bahri

  • Convolutional neural network (CNN) with metaheuristic optimization algorithms for landslide susceptibility mapping in Icheon, South Korea.

    Unknown

  • Flood susceptibility mapping in Dingnan County (China) using adaptive neuro-fuzzy inference system with biogeography based optimization and imperialistic competitive algorithm.

    Yi Wang;Haoyuan Hong;Haoyuan Hong;Wei Chen;Shaojun Li

  • New Hybrids of ANFIS with Several Optimization Algorithms for Flood Susceptibility Modeling

    Dieu Tien Bui;Khabat Khosravi;Shaojun Li;Himan Shahabi

  • 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

  • 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

  • Spatial prediction of groundwater potentiality using ANFIS ensembled with teaching-learning-based and biogeography-based optimization

    Wei Chen;Wei Chen;Mahdi Panahi;Khabat Khosravi;Hamid Reza Pourghasemi

  • Novel GIS Based Machine Learning Algorithms for Shallow Landslide Susceptibility Mapping.

    Ataollah Shirzadi;Karim Soliamani;Mahmood Habibnejhad;Ataollah Kavian

  • Convolutional neural network approach for spatial prediction of flood hazard at national scale of Iran

    Khabat Khosravi;Mahdi Panahi;Ali Golkarian;Saskia D. Keesstra;Saskia D. Keesstra

  • Novel Hybrid Evolutionary Algorithms for Spatial Prediction of Floods

    Dieu Tien Bui;Mahdi Panahi;Himan Shahabi;Vijay P. Singh

  • Spatial prediction of groundwater spring potential mapping based on an adaptive neuro-fuzzy inference system and metaheuristic optimization

    Khabat Khosravi;Mahdi Panahi;Dieu Tien Bui

Frequent Co-Authors

Prasad Daggupati
Prasad Daggupati University of Guelph
Luca Mao
Luca Mao University of Lincoln
Zaher Mundher Yaseen
Zaher Mundher Yaseen King Fahd University of Petroleum and Minerals
Dieu Tien Bui
Dieu Tien Bui University of South-Eastern Norway
Baharin Bin Ahmad
Baharin Bin Ahmad University of Technology Malaysia
Himan Shahabi
Himan Shahabi University of Kurdistan
Ataollah Shirzadi
Ataollah Shirzadi University of Kurdistan
Micòl Mastrocicco
Micòl Mastrocicco University of Campania "Luigi Vanvitelli"
Sinan Q. Salih
Sinan Q. Salih IEEE Computer Society
Nadhir Al-Ansari
Nadhir Al-Ansari Luleå University of Technology

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