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D-Index & Metrics

Engineering and Technology

D-Index
50
Citations
7322
World Ranking
4183
National Ranking
1196

Pejman Tahmasebi publications per year

2010: 3 publications 2011: 2 publications 2012: 6 publications 2013: 3 publications 2014: 6 publications 2015: 8 publications 2016: 8 publications 2017: 9 publications 2018: 16 publications 2019: 13 publications 2020: 21 publications 2021: 17 publications 2022: 15 publications 2023: 20 publications 2024: 7 publications 2025: 7 publications 2026: 1 publications
2010 2026

162 publications in total across all disciplines

Pejman Tahmasebi publication distribution in Engineering and Technology in 2027

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2027. The highlighted bar marks where Pejman Tahmasebi sits on this spectrum.

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 publications 804+

This scientist: 120 publications — 15th percentile

15% of scientists in this discipline score the same or lower.

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

Pejman Tahmasebi D-index placement in Engineering and Technology in 2027

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2027. The highlighted bar marks where Pejman Tahmasebi sits on this spectrum.

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: 50 D-Index — 59th percentile

59% of scientists in this discipline score the same or lower.

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

Overview

Pejman Tahmasebi is affiliated with the University of Wyoming in the United States and has made significant contributions to the fields of Engineering and Environmental Science. Their research spans several subfields including Ocean Engineering, Computational Mechanics, Mechanics of Materials, Mechanical Engineering, and Geophysics.

Their scholarly output includes work on various main topics such as Enhanced Oil Recovery Techniques, Hydrocarbon Exploration and Reservoir Analysis, Seismic Imaging and Inversion Techniques, Landslides and Related Hazards, Hydraulic Fracturing and Reservoir Analysis, Granular Flow and Fluidized Beds, and Groundwater Flow and Contamination Studies.

Among the recent publications is "Machine learning in geo- and environmental sciences: From small to large scale" (2020) published in Advances in Water Resources, which has received notable citations. Other significant papers in the broader research landscape associated with related topics include "A comparative machine learning study for time series oil production forecasting: ARIMA, LSTM, and Prophet" (2022) in Computers & Geosciences, "Physics informed machine learning: Seismic wave equation" (2020) in Geoscience Frontiers, "Graph neural network for groundwater level forecasting" (2022) in Journal of Hydrology, and "Reconstruction, optimization, and design of heterogeneous materials and media: Basic principles, computational algorithms, and applications" (2021) in Physics Reports.

Frequent collaborators with whom Pejman Tahmasebi has co-authored multiple works include Serveh Kamrava, Muhammad Sahimi, Tao Bai, Tsimur Davydzenka, and Yuqi Wu.

The primary venues for publication involve journals such as Physical Review E, Advances in Water Resources, Computers & Geosciences, Geoscience Frontiers, and Computers and Geotechnics, reflecting a focus on interdisciplinary approaches at the interface of engineering and environmental science.

Best Publications

  • Multiple-point geostatistical modeling based on the cross-correlation functions

    Pejman Tahmasebi;Ardeshir Hezarkhani;Muhammad Sahimi

  • A hybrid neural networks-fuzzy logic-genetic algorithm for grade estimation

    Pejman Tahmasebi;Ardeshir Hezarkhani

  • Segmentation of digital rock images using deep convolutional autoencoder networks

    Sadegh Karimpouli;Pejman Tahmasebi

  • Machine learning in geo- and environmental sciences: From small to large scale

    Pejman Tahmasebi;Serveh Kamrava;Tao Bai;Muhammad Sahimi

  • A comparative machine learning study for time series oil production forecasting: ARIMA, LSTM, and Prophet

    Unknown

  • A comprehensive study on geometric, topological and fractal characterizations of pore systems in low-permeability reservoirs based on SEM, MICP, NMR, and X-ray CT experiments

    Yuqi Wu;Yuqi Wu;Pejman Tahmasebi;Chengyan Lin;Muhammad Aleem Zahid

  • Cross-correlation function for accurate reconstruction of heterogeneous media

    Pejman Tahmasebi;Muhammad Sahimi

  • Reconstruction of three-dimensional porous media using a single thin section.

    Pejman Tahmasebi;Muhammad Sahimi

  • Linking Morphology of Porous Media to Their Macroscopic Permeability by Deep Learning

    Serveh Kamrava;Pejman Tahmasebi;Muhammad Sahimi

  • Physics informed machine learning: Seismic wave equation

    Sadegh Karimpouli;Pejman Tahmasebi

  • MS-CCSIM

    Pejman Tahmasebi;Muhammad Sahimi;Jef Caers

  • Application of Adaptive Neuro-Fuzzy Inference System for Grade Estimation; Case Study, Sarcheshmeh Porphyry Copper Deposit, Kerman, Iran

    Pejman Tahmasebi;Ardeshir Hezarkhani

  • Three-Dimensional Stochastic Characterization of Shale SEM Images

    Pejman Tahmasebi;Pejman Tahmasebi;Farzam Javadpour;Muhammad Sahimi

  • Comparative evaluation of back-propagation neural network learning algorithms and empirical correlations for prediction of oil PVT properties in Iran oilfields

    Jalil Asadisaghandi;Pejman Tahmasebi

  • Simulation of Earth textures by conditional image quilting

    K. Mahmud;K. Mahmud;G. Mariethoz;G. Mariethoz;J. Caers;P. Tahmasebi

  • Coupled hydro-mechanical analysis of seasonal underground hydrogen storage in a saline aquifer

    Unknown

  • Multiscale study for stochastic characterization of shale samples

    Pejman Tahmasebi;Pejman Tahmasebi;Farzam Javadpour;Muhammad Sahimi;Mohammad Piri

  • Comparing Training-Image Based Algorithms Using an Analysis of Distance

    Xiaojin Tan;Pejman Tahmasebi;Jef Caers

  • Data mining and machine learning for identifying sweet spots in shale reservoirs

    Pejman Tahmasebi;Farzam Javadpour;Muhammad Sahimi

  • Image-based velocity estimation of rock using Convolutional Neural Networks.

    Sadegh Karimpouli;Pejman Tahmasebi

  • Enhancing images of shale formations by a hybrid stochastic and deep learning algorithm.

    Serveh Kamrava;Serveh Kamrava;Pejman Tahmasebi;Muhammad Sahimi

  • A fast and independent architecture of artificial neural network for permeability prediction

    Pejman Tahmasebi;Ardeshir Hezarkhani

Frequent Co-Authors

Muhammad Sahimi
Muhammad Sahimi University of Southern California
Farzam Javadpour
Farzam Javadpour The University of Texas at Austin
Jef Caers
Jef Caers Stanford University
Mohammad Piri
Mohammad Piri University of Wyoming
Albert J. Valocchi
Albert J. Valocchi University of Illinois at Urbana-Champaign
Erik H. Saenger
Erik H. Saenger Ruhr University Bochum
Andy Baker
Andy Baker University of New South Wales
Peyman Mostaghimi
Peyman Mostaghimi University of New South Wales
Davood Ghanbari
Davood Ghanbari Arak University of Technology
HengAn Wu
HengAn Wu University of Science and Technology of China

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