World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
58
Citations
12012
World Ranking
2508
National Ranking
769

Roland N. Horne 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 Roland N. Horne 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: 369 publications — 86th percentile

86% of scientists in this discipline score the same or lower.

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

Roland N. Horne 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 Roland N. Horne 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: 58 D-Index — 75th percentile

75% 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

  • 2002 - Member of the National Academy of Engineering For innovations in the development of techniques for the testing and optimization of petroleum reservoirs.

Overview

Roland N. Horne is a researcher affiliated with Stanford University in the United States, with a focus on engineering disciplines, particularly within subfields such as ocean engineering, mechanical engineering, environmental engineering, geophysics, and renewable energy, sustainability, and the environment.

Their work spans a range of topics primarily associated with hydraulic fracturing and reservoir analysis, reservoir engineering and simulation methods, drilling and well engineering, seismic imaging and inversion techniques, groundwater flow and contamination studies, geothermal energy systems and applications, and CO2 sequestration and geologic interactions.

Roland N. Horne has contributed extensively to journals and conferences, frequently publishing in venues such as the SPE Annual Technical Conference and Exhibition, Geothermics, OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information), SSRN Electronic Journal, and the International Journal of Rock Mechanics and Mining Sciences.

  • Hydraulic Fracturing and Reservoir Analysis
  • Reservoir Engineering and Simulation Methods
  • Drilling and Well Engineering
  • Seismic Imaging and Inversion Techniques
  • Groundwater flow and contamination studies
  • Geothermal Energy Systems and Applications
  • CO2 Sequestration and Geologic Interactions

Frequent co-authors in their body of work include Mohammad Aljubran, Yuran Zhang, Mark D. White, Adam J. Hawkins, and Hunter Knox.

Notable recent papers by Roland N. Horne include:

  • "Close Observation of Hydraulic Fracturing at EGS Collab Experiment 1: Fracture Trajectory, Microseismic Interpretations, and the Role of Natural Fractures," 2021, Journal of Geophysical Research Solid Earth
  • "Thermoelectric power generator: Field test at Bottle Rock geothermal power plant," 2020, Journal of Power Sources
  • "An expandable thermoelectric power generator and the experimental studies on power output," 2020, International Journal of Heat and Mass Transfer
  • "Laboratory hydraulic stimulation experiments to investigate the interaction between newly formed and preexisting fractures," 2021, International Journal of Rock Mechanics and Mining Sciences
  • "Numerical investigation of the impact of fracture aperture anisotropy on EGS thermal performance," 2022, Geothermics

Roland N. Horne has been recognized with the distinction of membership in the National Academy of Engineering since 2002, awarded for innovations in the development of techniques related to testing and optimizing petroleum reservoirs.

Best Publications

  • An investigation of stimulation mechanisms in Enhanced Geothermal Systems

    Mark W. McClure;Roland N. Horne

  • Uncertainty Assessment of Well-Placement Optimization

    Bari Güyagüler;Roland N. Horne

  • Optimization of Well Placement in a Gulf of Mexico Waterflooding Project

    Baris Güyagüler;Roland N. Horne;Leah Rogers;Jacob J. Rosenzweig

  • Characterization of Spontaneous Water Imbibition Into Gas-Saturated Rocks

    Kewen Li;Roland N. Horne

  • Modern Well Test Analysis: A Computer-Aided Approach

    Roland N. Horne

  • Reservoir Development and Design Optimization

    Antonio C. Bittencourt;Roland N. Horne

  • Investigation of injection-induced seismicity using a coupled fluid flow and rate/state friction model

    Mark W. McClure;Roland N. Horne

  • A Procedure to Integrate Well Test Data, Reservoir Performance History and 4-D Seismic Information into a Reservoir Description

    Jorge L. Landa;Roland N. Horne

  • Computing Absolute Transmissibility in the Presence of Fine-Scale Heterogeneity

    C.D. White;R.N. Horne

  • Comparison of methods to calculate relative permeability from capillary pressure in consolidated water‐wet porous media

    Kewen Li;Roland N. Horne

  • Oscillatory convection in a porous medium heated from below

    R. N. Horne;M. J. O'sullivan

  • Relative Productivities and Pressure Transient Modeling of Horizontal Wells with Multiple Fractures

    R.N. Horne;K.O. Temeng

  • Generalized Scaling Approach for Spontaneous Imbibition: An Analytical Model

    Kewen Li;Roland N. Horne

  • An Analytical Scaling Method for Spontaneous Imbibition in Gas/Water/Rock Systems

    Kewen Li;Roland N. Horne

  • The Quality Map: A Tool for Reservoir Uncertainty Quantification and Decision Making

    Paulo S. da Cruz;Roland N. Horne;Clayton V. Deutsch

  • Improved methods for multivariate optimization of field development scheduling and well placement design

    Yan Pan;Roland N. Horne

  • Modeling Reservoir Temperature Transients and Reservoir-Parameter Estimation Constrained to the Model

    Obinna O. Duru;Roland N. Horne

  • Dispersion in tracer flow in fractured geothermal systems

    Roland N. Horne;Fernando Rodriguez

  • Pressure-transient analysis of arbitrarily shaped reservoirs with the boundary-element method

    Jitendra Kikani;Roland N. Horne

  • Multiresolution Wavelet Analysis for Improved Reservoir Description

    Isha Sahni;Roland N. Horne

Frequent Co-Authors

Lianjie Huang
Lianjie Huang Los Alamos National Laboratory
Derek Elsworth
Derek Elsworth Pennsylvania State University
Ahmad Ghassemi
Ahmad Ghassemi University of Oklahoma
Timothy J. Kneafsey
Timothy J. Kneafsey Lawrence Berkeley National Laboratory
Jonny Rutqvist
Jonny Rutqvist Lawrence Berkeley National Laboratory
Christine Doughty
Christine Doughty Lawrence Berkeley National Laboratory
Bezalel C. Haimson
Bezalel C. Haimson University of Wisconsin–Madison
Chris Marone
Chris Marone Pennsylvania State University
Mark D. Zoback
Mark D. Zoback Stanford University

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