World's Best Scientists 2026 revealed!

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Mathematics 31 3284 2930 214 188 57 6407

Richard W. Eglese publications per year

The chart shows the history of publications by Richard W. Eglese between 1980 and 2024, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Richard W. Eglese published across 45 years, from 1980 to 2024, averaging 1.9 papers a year. Output peaked at 7 publications in 2013. 1 of the 87 publications appeared in the last two years.

No. of publications
2 4 6
Bar chart. Horizontal axis: year, 1980 to 2024. Vertical axis: number of publications, 0 to 7. Peak 7 publications in 2013. 1980: 1 publication 1981: 0 publications 1982: 1 publication 1983: 0 publications 1984: 0 publications 1985: 1 publication 1986: 1 publication 1987: 1 publication 1988: 2 publications 1989: 0 publications 1990: 2 publications 1991: 3 publications 1992: 2 publications 1993: 1 publication 1994: 1 publication 1995: 0 publications 1996: 6 publications 1997: 1 publication 1998: 2 publications 1999: 0 publications 2000: 2 publications 2001: 3 publications 2002: 2 publications 2003: 4 publications 2004: 1 publication 2005: 2 publications 2006: 4 publications 2007: 4 publications 2008: 4 publications 2009: 1 publication 2010: 3 publications 2011: 2 publications 2012: 2 publications 2013: 7 publications 2014: 4 publications 2015: 5 publications 2016: 3 publications 2017: 2 publications 2018: 3 publications 2019: 1 publication 2020: 1 publication 2021: 1 publication 2022: 0 publications 2023: 0 publications 2024: 1 publication
1980 2024

87 publications in total across all disciplines

View publications per year as a table
Richard W. Eglese: publications per year, 1980 to 2024
Year Publications
1980 1
1981 0
1982 1
1983 0
1984 0
1985 1
1986 1
1987 1
1988 2
1989 0
1990 2
1991 3
1992 2
1993 1
1994 1
1995 0
1996 6
1997 1
1998 2
1999 0
2000 2
2001 3
2002 2
2003 4
2004 1
2005 2
2006 4
2007 4
2008 4
2009 1
2010 3
2011 2
2012 2
2013 7
2014 4
2015 5
2016 3
2017 2
2018 3
2019 1
2020 1
2021 1
2022 0
2023 0
2024 1
Total 87
Download as CSV

Richard W. Eglese 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 Richard W. Eglese sits on this spectrum.

No. of scientists
25 50 75 100
Bar chart with 100 bars. Horizontal axis: publications, 42–46 to 537+. Vertical axis: number of scientists, 0 to 112. Most scientists, 112, have 142–146 publications. The last bar groups every scientist with 537 publications or more. The highlighted bar, 57–61 publications, is where this scientist sits. 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 scientist 507–511 publications: 6 scientists 512–516 publications: 4 scientists 517–521 publications: 1 scientist 522–526 publications: 3 scientists 527–531 publications: 1 scientist 532–536 publications: 4 scientists 537+ publications: 100 scientists
42–46 publications 537+

This scientist: 57 publications — 1st percentile

1% of scientists in this discipline score the same or lower.

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

View publications distribution as a table
Number of Mathematics scientists by publication count, Research.com 2026 ranking edition. Based on 3,584 ranked scientists.
Publications Scientists This scientist
42–46 3
47–51 5
52–56 7
57–61 20 57
62–66 14
67–71 25
72–76 19
77–81 35
82–86 50
87–91 60
92–96 86
97–101 84
102–106 83
107–111 90
112–116 99
117–121 90
122–126 91
127–131 109
132–136 110
137–141 98
142–146 112
147–151 102
152–156 88
157–161 106
162–166 83
167–171 102
172–176 77
177–181 81
182–186 78
187–191 71
192–196 92
197–201 64
202–206 69
207–211 64
212–216 62
217–221 58
222–226 53
227–231 50
232–236 46
237–241 46
242–246 46
247–251 43
252–256 29
257–261 45
262–266 30
267–271 33
272–276 34
277–281 30
282–286 31
287–291 21
292–296 34
297–301 26
302–306 10
307–311 17
312–316 23
317–321 13
322–326 16
327–331 26
332–336 13
337–341 13
342–346 16
347–351 17
352–356 12
357–361 18
362–366 18
367–371 9
372–376 11
377–381 8
382–386 8
387–391 9
392–396 9
397–401 8
402–406 11
407–411 6
412–416 6
417–421 9
422–426 8
427–431 5
432–436 8
437–441 8
442–446 4
447–451 4
452–456 4
457–461 2
462–466 2
467–471 4
472–476 3
477–481 3
482–486 6
487–491 3
492–496 5
497–501 5
502–506 1
507–511 6
512–516 4
517–521 1
522–526 3
527–531 1
532–536 4
537+ 100
Download as CSV

Richard W. Eglese 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 Richard W. Eglese sits on this spectrum.

No. of scientists
50 100 150
Bar chart with 57 bars. Horizontal axis: D-Index, 30 to 86+. Vertical axis: number of scientists, 0 to 174. Most scientists, 174, have 30 D-Index. The last bar groups every scientist with 86 D-Index or more. The highlighted bar, 31 D-Index, is where this scientist sits. 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: 31 D-Index — 9th percentile

9% of scientists in this discipline score the same or lower.

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

View D-Index distribution as a table
Number of Mathematics scientists by D-index, Research.com 2026 ranking edition. Based on 3,584 ranked scientists.
D-Index Scientists This scientist
30 174
31 151 31
32 174
33 117
34 136
35 127
36 145
37 153
38 150
39 150
40 138
41 136
42 93
43 108
44 115
45 112
46 103
47 75
48 59
49 67
50 60
51 57
52 59
53 62
54 60
55 50
56 42
57 54
58 50
59 42
60 41
61 35
62 40
63 21
64 31
65 27
66 29
67 19
68 25
69 17
70 18
71 12
72 14
73 13
74 18
75 9
76 11
77 10
78 9
79 16
80 12
81 10
82 5
83 5
84 13
85 6
86+ 99
Download as CSV

Overview

Richard W. Eglese is affiliated with Lancaster University in the United Kingdom. Their research primarily focuses on the field of Engineering, with particular emphasis on Industrial and Manufacturing Engineering as well as Strategy and Management. The work of this scientist encompasses several interconnected topics and methodologies within these areas.

The main topics covered by their research include:

  • Vehicle Routing Optimization Methods
  • Optimization and Packing Problems
  • Sustainable Supply Chain Management
  • Scheduling and Optimization Algorithms

The recent publication record features the following papers:

  • "Arc routing problems: A review of the past, present, and future," Networks, 2020
  • "Richard Eglese," Authors group, 2020

These works contribute to the body of knowledge in optimization and routing problems, reflecting ongoing engagement with both theoretical and applied aspects of these fields.

Frequent co-authors collaborating with Richard W. Eglese include:

  • Ángel Corberán
  • Geir Hasle
  • Isaac Plana
  • José M. Sanchis
  • Adam N. Letchford

The scientist has published in journals and venues such as:

  • Networks
  • Authors group

This profile reflects Richard W. Eglese's research interests and scholarly collaboration patterns within the domain of engineering, focusing on optimization frameworks applicable to industrial and manufacturing settings.

Best Publications

  • Simulated annealing: A tool for operational research

    R.W. Eglese

  • A new branch-and-cut algorithm for the capacitated vehicle routing problem

    Jens Lysgaard;Adam N. Letchford;Richard W. Eglese

  • Combinatorial optimization and Green Logistics

    Abdelkader Sbihi;Richard W. Eglese

  • A simulation model for emergency evacuation

    M. Pidd;F.N. de Silva;R.W. Eglese

  • Vehicle Routing and Scheduling with Time Varying Data: A Case Study

    Will Maden;Richard W. Eglese;Dan Black

  • A new tabu search heuristic for the open vehicle routing problem

    Zhuo Fu;Richard W. Eglese;Leon Y. O. Li

  • Fuel emissions optimization in vehicle routing problems with time-varying speeds

    Jiani Qian;Richard W. Eglese

  • A deterministic tabu search algorithm for the capacitated arc routing problem

    José Brandão;Richard Eglese

  • Routing winter gritting vehicles

    R. W. Eglese

  • Integrating simulation modelling and GIS: spatial decision support systems for evacuation planning

    F N de Silva;R W Eglese

  • Choice-Based Demand Management and Vehicle Routing in E-Fulfillment

    Xinan Yang;Arne Karsten Strauss;Christine Currie;Richard William Eglese

  • An Interactive Algorithm for Vehicle Routeing for Winter - Gritting

    Leon Y. O. Li;Richard W. Eglese

  • Disruption management of the vehicle routing problem with vehicle breakdown

    Qianxin Mu;Zhuo Fu;Jens Lysgaard;Richard W. Eglese

  • A road timetable TM to aid vehicle routing and scheduling

    Richard Eglese;Will Maden;Alan Slater

  • A Tabu Search algorithm for the vehicle routing problem with discrete split deliveries and pickups

    Meng Qiu;Zhuo Fu;Richard William Eglese;Qiong Tang;Qiong Tang

  • Multistars, partial multistars and the capacitated vehicle routing problem

    Adam N. Letchford;Richard W. Eglese;Jens Lysgaard

  • Arc routing problems: A review of the past, present, and future

    Ángel Corberán;Richard Eglese;Geir Hasle;Isaac Plana

  • A unified tabu search algorithm for vehicle routing problems with soft time windows

    Zhuo Fu;Richard W. Eglese;Leon Y. O. Li

  • Conference Seminar Timetabling

    R. W. Eglese;G. K. Rand

  • EFFICIENT ROUTEING FOR WINTER GRITTING

    R. W. Eglese;L. Y. O. Li

  • A tabu search based heuristic for arc routing with a capacity constraint and time deadline

    Richard W. Eglese;Leon Y. O. Li

  • A Branch-and-Cut Algorithm for the Capacitated Open Vehicle Routing Problem

    Adam N. Letchford;Jens Lysgaard;Richard W. Eglese

Frequent Co-Authors

Adam N. Letchford
Adam N. Letchford Lancaster University
Bruce L. Golden
Bruce L. Golden University of Maryland, College Park
Chris N. Potts
Chris N. Potts University of Southampton
Vitaly A. Strusevich
Vitaly A. Strusevich University of Greenwich
Ángel Corberán
Ángel Corberán University of Valencia
Karl F. Doerner
Karl F. Doerner University of Vienna
Edward Wasil
Edward Wasil American University
Said Salhi
Said Salhi University of Kent
Richard F. Hartl
Richard F. Hartl University of Vienna
Linda Hendry
Linda Hendry Lancaster University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

For students interested in broadening their expertise beyond Mathematics, exploring related online degrees can open diverse career pathways. Many professionals opt for business-focused programs, such as the easiest mba specialization, which offers a practical approach to management skills alongside analytical rigor.

Choosing an easiest mba program can provide flexibility for working mathematicians seeking leadership roles without adding excessive time commitments. These programs often emphasize applied knowledge, making them a natural complement to a background in Mathematics.

For those interested in higher-level research and executive leadership, enrolling in a 1 year dba program online is an efficient way to gain advanced business expertise. This accelerated path helps professionals apply quantitative methods to business challenges effectively.

Additionally, pursuing a cheap masters in finance can further enhance career opportunities, especially in fields like financial analysis, data modeling, and risk management. Combining Mathematics with finance studies creates a robust foundation for lucrative roles across industries.

Best Scientists Citing Richard W. Eglese

Trending Scientists

Recently Published Articles