World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
74
Citations
20357
World Ranking
815
National Ranking
284

Jonathan F. Bard 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 Jonathan F. Bard 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: 274 publications — 70th percentile

70% of scientists in this discipline score the same or lower.

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

Jonathan F. Bard 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 Jonathan F. Bard 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: 74 D-Index — 92nd percentile

92% of scientists in this discipline score the same or lower.

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

Overview

Jonathan F. Bard is affiliated with The University of Texas at Austin in the United States. Their research lies primarily within the field of Engineering, with a focus on Industrial and Manufacturing Engineering, Management Science and Operations Research, Emergency Medical Services, Economics and Econometrics, as well as Renewable Energy, Sustainability, and the Environment.

The scientist's work covers several key topics including:

  • Scheduling and Timetabling Solutions
  • Scheduling and Optimization Algorithms
  • Healthcare Operations and Scheduling Optimization
  • Vehicle Routing Optimization Methods
  • Risk and Portfolio Optimization
  • Hospital Admissions and Outcomes
  • Global Energy Security and Policy

Recent published papers demonstrate research across healthcare scheduling, workforce planning, and transportation services in health systems. Notable examples include:

  • "A column generation-based algorithm for midterm nurse scheduling with specialized constraints, preference considerations, and overtime," 2021, Computers & Operations Research
  • "The flexible break assignment problem for large tour scheduling problems with an application to airport ground handlers," 2020, Journal of Scheduling
  • "Appointment scheduling at a multidisciplinary outpatient clinic using stochastic programming," 2020, Naval Research Logistics (NRL)
  • "Workforce capacity planning with hierarchical skills, long-term training, and random resignations," 2021, International Journal of Production Research
  • "Offering transportation services to economically disadvantaged patients at a family health center: a case study," 2021, Health Systems

Bard has frequently collaborated with several co-authors, including Benjamin D. Leibowicz, Baturay Çalcı, Douglas J. Morrice, Gopika Jayadev, and Jia Guo.

The scientist's publications are found predominantly in the following venues:

  • SSRN Electronic Journal
  • Computers & Operations Research
  • Computers & Industrial Engineering
  • International Journal of Production Research
  • Health Systems

This research output reflects a focus on optimizing complex scheduling and operational problems, especially within healthcare and industrial contexts, employing mathematical and stochastic programming methods. Bard's interdisciplinary approach spans from production and operations research to healthcare systems and sustainability challenges.

Best Publications

  • Practical Bilevel Optimization: Algorithms and Applications

    Jonathan F. Bard

  • Practical Bilevel Optimization

    Jonathan F. Bard

  • An explicit solution to the multi-level programming problem

    Jonathan F. Bard;James E. Falk

  • Supply chain coordination with demand disruptions

    Xiangtong Qi;Jonathan F. Bard;Gang Yu

  • A Branch and Bound Algorithm for the Bilevel Programming Problem

    Jonathan F. Bard;James T. Moore

  • Nondifferentiable and Two-Level Mathematical Programming

    清孝 志水;陽 石塚;Jonathan F. Bard

  • Project management: engineering, technology, and implementation

    Avraham Shtub;Jonathan F. Bard;Shlomo Globerson

  • The Mixed Integer Linear Bilevel Programming Problem

    James T. Moore;Jonathan F. Bard

  • Preference scheduling for nurses using column generation

    Jonathan F. Bard;Hadi W. Purnomo

  • A GRASP for the Vehicle Routing Problem with Time Windows

    George Kontoravdis;Jonathan F. Bard

  • Some properties of the bilevel programming problem

    J. F. Bard

  • Convex two-level optimization

    Jonathan F. Bard

  • Short-term scheduling of thermal-electric generators using Lagrangian relaxation

    Jonathan F. Bard

  • Flight Scheduling and Maintenance Base Planning

    Thomas A. Feo;Jonathan F. Bard

  • An Efficient Point Algorithm for a Linear Two-Stage Optimization Problem

    Jonathan F. Bard

  • A Decomposition Approach to the Inventory Routing Problem with Satellite Facilities

    Jonathan F. Bard;Liu Huang;Patrick Jaillet;Patrick Jaillet;Moshe Dror

  • Project Management: Processes, Methodologies, and Economics

    Avraham Shtub;Jonathan F. Bard;Shlomo Globerson

  • Balancing user preferences for aircraft schedule recovery during irregular operations

    Benjamin G. Thengvall;Jonathan F. Bard;Gang Yu

  • A Branch-and-Cut Procedure for the Vehicle Routing Problem with Time Windows

    Jonathan F. Bard;George Kontoravdis;Gang Yu

  • An analytic framework for sequencing mixed model assembly lines

    Jonathan F. Bard;Ezey Dar-Elj;Avraham Shtub

Frequent Co-Authors

Rainer Kolisch
Rainer Kolisch Technical University of Munich
Moshe Dror
Moshe Dror University of Arizona
Duncan Davidson
Duncan Davidson University of Edinburgh
Boaz Golany
Boaz Golany Technion – Israel Institute of Technology
Chung Yee Lee
Chung Yee Lee Hong Kong University of Science and Technology
Michael Pinedo
Michael Pinedo New York University
Wilbert E. Wilhelm
Wilbert E. Wilhelm Texas A&M University
Stephan Dempe
Stephan Dempe TU Bergakademie Freiberg

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