World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
39
Citations
6784
World Ranking
2183
National Ranking
36

Engineering and Technology

D-Index
39
Citations
6867
World Ranking
7646
National Ranking
52

Gur Mosheiov publication distribution in Mathematics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mathematics in 2026. The highlighted bar marks where Gur Mosheiov sits on this spectrum.

42–46 publications: 3 scientists 47–51 publications: 5 scientists 52–56 publications: 7 scientists 57–61 publications: 20 scientists 62–66 publications: 14 scientists 67–71 publications: 25 scientists 72–76 publications: 19 scientists 77–81 publications: 35 scientists 82–86 publications: 50 scientists 87–91 publications: 60 scientists 92–96 publications: 86 scientists 97–101 publications: 84 scientists 102–106 publications: 83 scientists 107–111 publications: 90 scientists 112–116 publications: 99 scientists 117–121 publications: 90 scientists 122–126 publications: 91 scientists 127–131 publications: 109 scientists 132–136 publications: 110 scientists 137–141 publications: 98 scientists 142–146 publications: 112 scientists 147–151 publications: 102 scientists 152–156 publications: 88 scientists 157–161 publications: 106 scientists 162–166 publications: 83 scientists 167–171 publications: 102 scientists 172–176 publications: 77 scientists 177–181 publications: 81 scientists 182–186 publications: 78 scientists 187–191 publications: 71 scientists 192–196 publications: 92 scientists 197–201 publications: 64 scientists 202–206 publications: 69 scientists 207–211 publications: 64 scientists 212–216 publications: 62 scientists 217–221 publications: 58 scientists 222–226 publications: 53 scientists 227–231 publications: 50 scientists 232–236 publications: 46 scientists 237–241 publications: 46 scientists 242–246 publications: 46 scientists 247–251 publications: 43 scientists 252–256 publications: 29 scientists 257–261 publications: 45 scientists 262–266 publications: 30 scientists 267–271 publications: 33 scientists 272–276 publications: 34 scientists 277–281 publications: 30 scientists 282–286 publications: 31 scientists 287–291 publications: 21 scientists 292–296 publications: 34 scientists 297–301 publications: 26 scientists 302–306 publications: 10 scientists 307–311 publications: 17 scientists 312–316 publications: 23 scientists 317–321 publications: 13 scientists 322–326 publications: 16 scientists 327–331 publications: 26 scientists 332–336 publications: 13 scientists 337–341 publications: 13 scientists 342–346 publications: 16 scientists 347–351 publications: 17 scientists 352–356 publications: 12 scientists 357–361 publications: 18 scientists 362–366 publications: 18 scientists 367–371 publications: 9 scientists 372–376 publications: 11 scientists 377–381 publications: 8 scientists 382–386 publications: 8 scientists 387–391 publications: 9 scientists 392–396 publications: 9 scientists 397–401 publications: 8 scientists 402–406 publications: 11 scientists 407–411 publications: 6 scientists 412–416 publications: 6 scientists 417–421 publications: 9 scientists 422–426 publications: 8 scientists 427–431 publications: 5 scientists 432–436 publications: 8 scientists 437–441 publications: 8 scientists 442–446 publications: 4 scientists 447–451 publications: 4 scientists 452–456 publications: 4 scientists 457–461 publications: 2 scientists 462–466 publications: 2 scientists 467–471 publications: 4 scientists 472–476 publications: 3 scientists 477–481 publications: 3 scientists 482–486 publications: 6 scientists 487–491 publications: 3 scientists 492–496 publications: 5 scientists 497–501 publications: 5 scientists 502–506 publications: 1 scientists 507–511 publications: 6 scientists 512–516 publications: 4 scientists 517–521 publications: 1 scientists 522–526 publications: 3 scientists 527–531 publications: 1 scientists 532–536 publications: 4 scientists 537+ publications: 100 scientists
42 publications 537+

This scientist: 166 publications — 47th percentile

47% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 537 publications or more.

Gur Mosheiov D-index placement in Mathematics in 2026

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

30 D-Index: 174 scientists 31 D-Index: 151 scientists 32 D-Index: 174 scientists 33 D-Index: 117 scientists 34 D-Index: 136 scientists 35 D-Index: 127 scientists 36 D-Index: 145 scientists 37 D-Index: 153 scientists 38 D-Index: 150 scientists 39 D-Index: 150 scientists 40 D-Index: 138 scientists 41 D-Index: 136 scientists 42 D-Index: 93 scientists 43 D-Index: 108 scientists 44 D-Index: 115 scientists 45 D-Index: 112 scientists 46 D-Index: 103 scientists 47 D-Index: 75 scientists 48 D-Index: 59 scientists 49 D-Index: 67 scientists 50 D-Index: 60 scientists 51 D-Index: 57 scientists 52 D-Index: 59 scientists 53 D-Index: 62 scientists 54 D-Index: 60 scientists 55 D-Index: 50 scientists 56 D-Index: 42 scientists 57 D-Index: 54 scientists 58 D-Index: 50 scientists 59 D-Index: 42 scientists 60 D-Index: 41 scientists 61 D-Index: 35 scientists 62 D-Index: 40 scientists 63 D-Index: 21 scientists 64 D-Index: 31 scientists 65 D-Index: 27 scientists 66 D-Index: 29 scientists 67 D-Index: 19 scientists 68 D-Index: 25 scientists 69 D-Index: 17 scientists 70 D-Index: 18 scientists 71 D-Index: 12 scientists 72 D-Index: 14 scientists 73 D-Index: 13 scientists 74 D-Index: 18 scientists 75 D-Index: 9 scientists 76 D-Index: 11 scientists 77 D-Index: 10 scientists 78 D-Index: 9 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 10 scientists 82 D-Index: 5 scientists 83 D-Index: 5 scientists 84 D-Index: 13 scientists 85 D-Index: 6 scientists 86+ D-Index: 99 scientists
30 D-Index 86+

This scientist: 39 D-Index — 41st percentile

41% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 86 D-Index or more.

Overview

Gur Mosheiov is affiliated with the Hebrew University of Jerusalem in Israel. Their research primarily focuses on engineering and computer science, with significant contributions to the subfields of industrial and manufacturing engineering, computer networks and communications, management information systems, control and systems engineering, and management science and operations research.

The scientist's main topics of research span several areas:

  • Scheduling and Optimization Algorithms
  • Optimization and Search Problems
  • Advanced Manufacturing and Logistics Optimization
  • Assembly Line Balancing Optimization
  • Supply Chain and Inventory Management
  • Optimization and Packing Problems
  • Advanced Control Systems Optimization

Gur Mosheiov has an extensive publication record, with papers appearing frequently in journals such as:

  • Journal of Scheduling
  • Journal of Combinatorial Optimization
  • Computers & Operations Research
  • 4OR
  • Optimization Letters

Notable recent papers include:

  • "Minimizing total late work on a single machine with generalized due-dates," 2021, European Journal of Operational Research
  • "Single machine lot scheduling with optional job-rejection," 2020, Journal of Combinatorial Optimization
  • "Single machine scheduling with common assignable due date/due window to minimize total weighted early and late work," 2022, European Journal of Operational Research
  • "Scheduling with competing agents, total late work and job rejection," 2021, Computers & Operations Research
  • "A note on the single machine CON and CONW problems with lot scheduling," 2021, Journal of Combinatorial Optimization

Gur Mosheiov collaborates regularly with several frequent co-authors, including:

  • Baruch Mor
  • Matan Atsmony
  • Dvir Shabtay
  • Daniel Oron
  • Enrique Gerstl

The work of this researcher addresses various aspects of scheduling and optimization in manufacturing and logistics contexts, with attention to problems such as late work minimization, job rejection, due date assignment, and scheduling under competing agent conditions.

Best Publications

  • Scheduling problems with a learning effect

    Gur Mosheiov

  • Scheduling jobs under simple linear deterioration

    Gur Mosheiov

  • Scheduling with general job-dependent learning curves

    Gur Mosheiov;Jeffrey B Sidney

  • Parallel machine scheduling with a learning effect

    Gur Mosheiov

  • V-shaped policies for scheduling deteriorating jobs

    Gur Mosheiov

  • The Travelling Salesman Problem with pick-up and delivery

    Gur Mosheiov

  • Vehicle routing with pick-up and delivery: tour-partitioning heuristics

    Gur Mosheiov

  • Complexity analysis of job-shop scheduling with deteriorating jobs

    Gur Mosheiov

  • Multi-Machine Scheduling With Linear Deterioration

    Gur Mosheiov

  • Scheduling a deteriorating maintenance activity on a single machine

    Gur Mosheiov;Jeffrey B. Sidney

  • Scheduling jobs with step-deterioration; minimizing makespan on a single- and multi-machine

    Gur Mosheiov

  • Single machine scheduling to minimize the number of early and tardy jobs

    Avital Lann;Gur Mosheiov

  • Scheduling problems with two competing agents to minimize minmax and minsum earliness measures

    Baruch Mor;Gur Mosheiov

  • The traveling salesman problem with delivery and backhauls

    Shoshana Anily;Gur Mosheiov

  • Scheduling a maintenance activity and due-window assignment on a single machine

    Gur Mosheiov;Assaf Sarig

  • Note on scheduling with general learning curves to minimize the number of tardy jobs

    Gur Mosheiov;Jeffrey B. Sidney

  • Due-date assignment and maintenance activity scheduling problem

    Gur Mosheiov;Daniel Oron

  • Λ-Shaped Policies to Schedule Deteriorating Jobs

    Gur Mosheiov

  • Single machine batch scheduling with two competing agents to minimize total flowtime

    Baruch Mor;Gur Mosheiov

  • A note on scheduling deteriorating jobs

    G. Mosheiov

  • Minimizing the sum of job completion times on capacitated parallel machines

    G. Mosheiov

Frequent Co-Authors

Awi Federgruen
Awi Federgruen Columbia University
Mikhail Y. Kovalyov
Mikhail Y. Kovalyov National Academy of Sciences of Belarus
Vitaly A. Strusevich
Vitaly A. Strusevich University of Greenwich
Ya'acov Ritov
Ya'acov Ritov University of Michigan–Ann Arbor
Chung-Lun Li
Chung-Lun Li Hong Kong Polytechnic University

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Related Online Degrees & Career Pathways

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Additionally, strong data skills can be leveraged in the growing field of data science. Pursuing data analysis programs can significantly enhance career prospects by focusing on the interpretation and application of complex datasets, a natural extension for those trained in Mathematics.

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