World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
56
Citations
13334
World Ranking
2783
National Ranking
850

Akhil Datta-Gupta 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 Akhil Datta-Gupta 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: 307 publications — 77th percentile

77% of scientists in this discipline score the same or lower.

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

Akhil Datta-Gupta 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 Akhil Datta-Gupta 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: 56 D-Index — 72nd percentile

72% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2012 - Member of the National Academy of Engineering For developing the theory and practice of streamline simulation for fluid flow in heterogeneous reservoirs.

Overview

Akhil Datta-Gupta is affiliated with Texas A&M University in the United States and specializes in research within engineering and environmental science. Their work spans multiple subfields including ocean engineering, mechanical engineering, environmental engineering, geophysics, and mechanics of materials.

Their research primarily focuses on areas related to reservoir engineering and simulation methods, hydraulic fracturing and reservoir analysis, enhanced oil recovery techniques, CO2 sequestration and geologic interactions, drilling and well engineering, seismic imaging and inversion techniques, and hydrocarbon exploration and reservoir analysis.

Recent papers authored by or involving Akhil Datta-Gupta include:

  • "Streamline tracing and applications in embedded discrete fracture models," 2020, Journal of Petroleum Science and Engineering
  • "Machine learning based rate optimization under geologic uncertainty," 2021, Journal of Petroleum Science and Engineering
  • "Rapid Simulation Accounting for Well Interference in Unconventional Reservoirs using Fast Marching Method," 2020, Proceedings of the 8th Unconventional Resources Technology Conference
  • "Inter-well connectivity detection in CO2 WAG projects using statistical recurrent unit models," 2021, Fuel
  • "Integration of time-lapse seismic data using the onset time approach: The impact of seismic survey frequency," 2020, Journal of Petroleum Science and Engineering

Frequent coauthors collaborating with Datta-Gupta include:

  • Hongquan Chen
  • Tsubasa Onishi
  • Srikanta Mishra
  • Changqing Yao
  • M. Nagao

The scientist publishes regularly in venues such as:

  • SPE Annual Technical Conference and Exhibition
  • SSRN Electronic Journal
  • SPE Journal
  • Journal of Petroleum Science and Engineering
  • Fuel

In recognition of their work, Akhil Datta-Gupta was named a member of the National Academy of Engineering in 2012 for contributions to the theory and practice of streamline simulation for fluid flow in heterogeneous reservoirs.

Best Publications

  • Chapter 5 – Multivariate Data Analysis

    Srikanta Mishra;Akhil Datta-Gupta

  • A semianalytic approach to tracer flow modeling in heterogeneous permeable media

    Akhil Datta-Gupta;Michael J. King

  • The Role of Electrofacies, Lithofacies, and Hydraulic Flow Units in Permeability Predictions from Well Logs: A Comparative Analysis Using Classification Trees

    Hector H. Perez;Akhil Datta-Gupta;Srikanta Mishra

  • Optimal Waterflood Management Using Rate Control

    Ahmed Alhuthali;Adedayo Oyerinde;Akhil Datta-Gupta

  • Integrating dynamic data into high-resolution reservoir models using streamline-based analytic sensitivity coefficients

    D.W. Vasco;Yoon Seongsik;Akhil Datta-Gupta

  • A Streamline Approach for Integrating Transient Pressure Data Into High-Resolution Reservoir Models

    Kari Nordaas Kulkarni;Akhil Datta-Gupta;D.W. Vasco

  • A Multiscale Approach to Production-Data Integration Using Streamline Models

    Seongsik Yoon;Adel H. Malallah;Akhil Datta-Gupta;Don W. Vasco

  • Streamline Simulation: Theory and Practice

    Unknown

  • Integrating dynamic data into high-resolution reservoir models using streamline-based analytic sensitivity coefficients

    D.W. Vasco;S. Yoon;A. Datta-Gupta

  • Optimal Coarsening of 3D Reservoir Models for Flow Simulation

    Michael J. King;Karam S. Burn;Pengju Wang;Venkataramanan Muralidharan

  • Stochastic Reservoir Modeling Using Simulated Annealing and Genetic Algorithm

    M.K. Sen;Akhil Datta-Gupta;P.L. Stoffa;L.W. Lake

  • Optimal Transformations for Multiple Regression: Application to Permeability Estimation From Well Logs

    Guoping Xue;Akhil Datta-Gupta;Peter Valko;Tom Blasingame

  • Radius of Investigation and its Generalization to Unconventional Reservoirs

    Akhil Datta-Gupta;Jiang Xie;Neha Gupta;Michael J. King

  • Streamline-based Production Data Integration Under Changing Field Conditions

    Zhong He;Akhil Datta-Gupta;Seongsik Yoon

  • Asymptotic solutions for solute transport: A formalism for tracer tomography

    D. W. Vasco;Akhil Datta-Gupta

  • Spatial Error and Convergence in Streamline Simulation

    Eduardo Jimenez;Kamran Sabir;Akhil Datta-Gupta;Michael J. King

  • An efficient two-stage Markov chain Monte Carlo method for dynamic data integration

    Y. Efendiev;A. Datta-Gupta;V. Ginting;X. Ma

  • Electrofacies Characterization and Permeability Predictions in Carbonate Reservoirs: Role of Multivariate Analysis and Nonparametric Regression

    Sang Heon Lee;Akhil Datta-Gupta

  • An Efficient Two-Stage Sampling Method for Uncertainty Quantification in History Matching Geological Models

    Xianlin Ma;Mishal Al-Harbi;Akhil Datta-Gupta;Yalchin Efendiev

  • From Streamlines to Fast Marching: Rapid Simulation and Performance Assessment of Shale-Gas Reservoirs by Use of Diffusive Time of Flight as a Spatial Coordinate

    Yanbin Zhang;Neha Bansal;Yusuke Fujita;Akhil Datta-Gupta

  • Depth of Investigation and Depletion in Unconventional Reservoirs With Fast-Marching Methods

    Jiang Xie;Changdong Yang;Neha Gupta;Michael J. King

  • Electrofacies Characterization and Permeability Predictions in Complex Reservoirs

    Sang Heon Lee;Arun Kharghoria;Akhil Datta-Gupta

Frequent Co-Authors

Donald W. Vasco
Donald W. Vasco Lawrence Berkeley National Laboratory
Yalchin Efendiev
Yalchin Efendiev Texas A&M University
Bani K. Mallick
Bani K. Mallick Texas A&M University
Gary A. Pope
Gary A. Pope The University of Texas at Austin
Ding Zhu
Ding Zhu Texas A&M University
Alfred Daniel Hill
Alfred Daniel Hill Texas A&M University
Thomas M. Daley
Thomas M. Daley Lawrence Berkeley National Laboratory
Thomas Alwin Blasingame
Thomas Alwin Blasingame Texas A&M University
Mark D. Zoback
Mark D. Zoback Stanford University

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