World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
46
Citations
12875
World Ranking
6702
National Ranking
2959

Edward Wasil publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Edward Wasil sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 132 publications — 19th percentile

19% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Edward Wasil D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Edward Wasil sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 46 D-Index — 53rd percentile

53% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Edward Wasil is affiliated with American University in the United States and has contributed extensively to the field of engineering, particularly focusing on industrial and manufacturing engineering alongside related subfields such as building and construction, automotive engineering, civil and structural engineering, and electrical and electronic engineering.

Their research topics encompass a range of areas within transportation and logistics optimization. Key themes include:

  • Vehicle Routing Optimization Methods
  • Transportation and Mobility Innovations
  • Urban and Freight Transport Logistics
  • Infrastructure Maintenance and Monitoring
  • Smart Parking Systems Research
  • Optimization and Packing Problems
  • Facility Location and Emergency Management

Edward Wasil has a record of publications across multiple respected venues. Frequent publishing sites include:

  • Zenodo (CERN European Organization for Nuclear Research)
  • Networks
  • Optimization Letters
  • Algorithms
  • Computers & Operations Research

Recent papers authored or co-authored by Edward Wasil cover various aspects of vehicle routing and optimization techniques. Notable publications include:

  • "On the road to better routes: Five decades of published research on the vehicle routing problem" (2020, Networks)
  • "Estimating the Tour Length for the Close Enough Traveling Salesman Problem" (2021, Algorithms)
  • "Using regression models to understand the impact of route-length variability in practical vehicle routing" (2022, Optimization Letters)
  • "Data-driven optimization and statistical modeling to improve meter reading for utility companies" (2022, Computers & Operations Research)
  • "Investigating cascading events for emergency departments in Baltimore City using a two-state Markov model" (2021, Operations Research for Health Care)

Edward Wasil is also an author of a book titled The Evolution of the Vehicle Routing Problem, published in 2023 by Morgan & Claypool Publishers.

The scientist's collaborative work includes frequent co-authors such as Bruce Golden, Debdatta Sinha Roy, Xingyin Wang, Adriano Masone, and Christof Defryn, each contributing to numerous joint publications.

Best Publications

  • The vehicle routing problem : latest advances and new challenges

    Bruce L. Golden;S. Raghavan;Edward A. Wasil

  • The Analytic Hierarchy Process

    Bruce L. Golden;Edward A. Wasil;Patrick T. Harker

  • VEHICLE ROUTING WITH BACKHAULS: MODELS, ALGORITHMS, AND CASE STUDIES. VEHICLE ROUTING: METHODS AND STUDIES. STUDIES IN MANAGEMENT SCIENCE AND SYSTEMS - VOLUME 16

    D O Casco;B L Golden;E A Wasil

  • The team orienteering problem

    I-Ming Chao;Bruce L. Golden;Edward A. Wasil

  • The Analytic hierarchy process : applications and studies

    Bruce L. Golden;Edward A. Wasil;Patrick T. Harker;John Malcolm Alexander

  • The Impact of Metaheuristics on Solving the Vehicle Routing Problem: Algorithms, Problem Sets, and Computational Results

    Bruce L. Golden;Edward A. Wasil;James P. Kelly;I-Ming Chao

  • A fast and effective heuristic for the orienteering problem

    I-Ming Chao;Bruce L. Golden;Edward A. Wasil

  • Very large-scale vehicle routing: new test problems, algorithms, and results

    Feiyue Li;Bruce Golden;Edward Wasil

  • The open vehicle routing problem: Algorithms, large-scale test problems, and computational results

    Feiyue Li;Bruce Golden;Edward Wasil

  • Using Experimental Design to Find Effective Parameter Settings for Heuristics

    Steven P. Coy;Bruce L. Golden;George C. Runger;Edward A. Wasil

  • A record-to-record travel algorithm for solving the heterogeneous fleet vehicle routing problem

    Feiyue Li;Bruce Golden;Edward Wasil

  • The Consistent Vehicle Routing Problem

    Chris Groër;Bruce Golden;Edward Wasil

  • Linear programming models for estimating weights in the analytic hierarchy process

    Bala Chandran;Bruce Golden;Edward Wasil

  • A library of local search heuristics for the vehicle routing problem

    Chris Groër;Bruce L. Golden;Edward A. Wasil

  • A new heuristic for the multi-depot vehicle routing problem that improves upon best-known solutions

    I.-Ming Chao;Bruce L. Golden;Edward Wasil

  • A Branch-and-Bound Approach to the Traveling Salesman Problem with a Drone

    Stefan Poikonen;Bruce L. Golden;Edward A. Wasil

  • The balanced billing cycle vehicle routing problem

    Chris Groër;Bruce Golden;Edward Wasil

  • An improved heuristic for the period vehicle routing problem

    I-Ming Chao;Bruce L. Golden;Edward A. Wasil

  • OR Practice-Computerized Vehicle Routing in the Soft Drink Industry

    Bruce L. Golden;Edward A. Wasil

  • Routing vehicles in the real world: applications in the solid waste, beverage, food, dairy, and newspaper industries

    B. L. Golden;A. A. Assad;E. A. Wasil

  • The split delivery vehicle routing problem: Applications, algorithms, test problems, and computational results

    Si Chen;Bruce Golden;Edward Wasil

Frequent Co-Authors

Bruce L. Golden
Bruce L. Golden University of Maryland, College Park
George C. Runger
George C. Runger Arizona State University
Patrick T. Harker
Patrick T. Harker Federal Reserve Bank of Philadelphia
Martin W. P. Savelsbergh
Martin W. P. Savelsbergh Georgia Institute of Technology
Ramesh Sharda
Ramesh Sharda Oklahoma State University
Bartley P. Griffith
Bartley P. Griffith University of Maryland, Baltimore
Richard W. Eglese
Richard W. Eglese Lancaster University

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