World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
64
Citations
14480
World Ranking
424
National Ranking
30

Engineering and Technology

D-Index
64
Citations
14690
World Ranking
1653
National Ranking
99

Chris N. Potts 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 Chris N. Potts 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: 82 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: 138 publications — 31st percentile

31% of scientists in this discipline score the same or lower.

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

Chris N. Potts 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 Chris N. Potts 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: 137 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: 64 D-Index — 89th percentile

89% of scientists in this discipline score the same or lower.

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

Overview

Chris N. Potts is affiliated with the University of Southampton in the United Kingdom. Their research spans multiple domains, with a focus on topics related to artificial intelligence, transportation, environmental issues, and economics.

Their frequent publication venues include:

  • Journal of Air Transport Management
  • arXiv (Cornell University)
  • Authors group
  • Environmental Pollution
  • SSRN Electronic Journal

Main fields of study encompass artificial intelligence, general economics, econometrics, finance, aerospace engineering, transportation, and pollution. Their subfields particularly highlight:

  • Artificial Intelligence
  • General Economics, Econometrics and Finance
  • Aerospace Engineering
  • Transportation
  • Pollution

Key research topics covered by Chris N. Potts involve:

  • Aviation Industry Analysis and Trends
  • Air Traffic Management and Optimization
  • Transportation Planning and Optimization
  • Explainable Artificial Intelligence (XAI)
  • Bayesian Modeling and Causal Inference
  • Advanced Graph Neural Networks
  • Microplastics and Plastic Pollution

The scientist has collaborated frequently with several coauthors, including:

  • Antonio Martínez-Sykora
  • John Beasley
  • Martin Kunc
  • Atticus Geiger
  • Thomas Icard

Notable recent papers by Chris N. Potts include:

  • "Causal Abstraction: A Theoretical Foundation for Mechanistic Interpretability" (2023), published in arXiv (Cornell University)
  • "A parametric method to enhance decision-making in airport terminal development" (2024), published in Journal of Air Transport Management
  • "Chris Potts" (2020), published in Authors group
  • "Polystyrene and polyethylene terephthalate nanoplastics differentially impact mouse ovarian follicle function" (2025), published in Environmental Pollution
  • "Split Pick-Up and Delivery Vehicle Routing Problem with Cross-Docks" (2025), published in SSRN Electronic Journal

Best Publications

  • Scheduling with batching: A review

    Chris N. Potts;Mikhail Y. Kovalyov

  • Supply chain scheduling: Batching and delivery

    Nicholas G. Hall;Chris N. Potts

  • Scheduling a batching machine

    Peter Brucker;Andrei Gladky;Han Hoogeveen;Mikhail Y. Kovalyov

  • Constraint satisfaction problems: Algorithms and applications

    Sally C. Brailsford;Chris N. Potts;Barbara M. Smith

  • Integrating Scheduling with Batching and Lot-Sizing: A Review of Algorithms and Complexity

    C. N. Potts;L. N. Van Wassenhove

  • A Review of Machine Scheduling: Complexity, Algorithms and Approximability

    Bo Chen;Chris N. Potts;Gerhard J. Woeginger

  • A decomposition algorithm for the single machine total tardiness problem

    C.N Potts;L.N Van Wassenhove

  • On the Complexity of Scheduling with Batch Setup Times

    Clyde L. Monma;Chris N. Potts

  • An Iterated Dynasearch Algorithm for the Single-Machine Total Weighted Tardiness Scheduling Problem

    Richard K. Congram;Chris N. Potts;Steef L. van de Velde

  • A Branch and Bound Algorithm for the Total Weighted Tardiness Problem

    Chris N. Potts;Luk N. Van Wassenhove

  • The Two-Stage Assembly Scheduling Problem: Complexity and Approximation

    C. N. Potts;S. V. Sevast'janov;V. A. Strusevich;L. N. Van Wassenhove

  • A survey of algorithms for the single machine total weighted tardiness scheduling problem

    T. S. Abdul-Razaq;C. N. Potts;L. N. Van Wassenhove

  • Single Machine Tardiness Sequencing Heuristics

    C. N. Potts;L. N. Van Wassenhove

  • Rescheduling for New Orders

    Nicholas G. Hall;Chris N. Potts

  • Dynamic Programming State-Space Relaxation for Single-Machine Scheduling

    T. S. Abdul-Razaq;C. N. Potts

  • Local Search Heuristics for the Single Machine Total Weighted Tardiness Scheduling Problem

    H. A. J. Crauwels;C. N. Potts;L. N. Van Wassenhove

  • Fifty years of scheduling: a survey of milestones

    Christopher N. Potts;Vitaly A. Strusevich

  • Technical Note-Analysis of a Heuristic for One Machine Sequencing with Release Dates and Delivery Times

    C. N. Potts

  • Airport runway scheduling

    Julia A. Bennell;Mohammad Mesgarpour;Chris N. Potts

  • Flow shop scheduling with lot streaming

    C. N. Potts;K. R. Baker

  • Analysis of a linear programming heuristic for scheduling unrelated parallel machines

    Chris N. Potts

Frequent Co-Authors

Vitaly A. Strusevich
Vitaly A. Strusevich University of Greenwich
Nicholas G. Hall
Nicholas G. Hall The Ohio State University
Jatinder N. D. Gupta
Jatinder N. D. Gupta University of Alabama in Huntsville
Tolga Bektaş
Tolga Bektaş University of Liverpool
Mikhail Y. Kovalyov
Mikhail Y. Kovalyov National Academy of Sciences of Belarus
Gerhard J. Woeginger
Gerhard J. Woeginger RWTH Aachen University
Sally C. Brailsford
Sally C. Brailsford University of Southampton
Chelliah Sriskandarajah
Chelliah Sriskandarajah Texas A&M University
Lyn C. Thomas
Lyn C. Thomas University of Southampton
Richard W. Eglese
Richard W. Eglese 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 pursuing Mathematics in the USA, exploring related online degrees can broaden career prospects significantly. Many graduates find that combining their strong analytical skills with knowledge from other fields enhances employability in competitive markets.

For instance, a masters degree in marketing can complement mathematical expertise by focusing on data-driven marketing strategies and consumer analytics, opening doors to roles in market research and digital marketing.

Similarly, business-minded math students often consider an MBA. Programs like the best 1 year mba programs offer accelerated paths to leadership and management, allowing for a quick transition into business roles.

If flexibility is a priority, many professionals choose an online mba with transfer credits accepted, making it easier to continue education while working and leveraging prior academic credits.

Additionally, the rising field of big data makes a masters data analytics particularly valuable. This degree emphasizes interpreting complex data sets, a skill that pairs naturally with a math background and leads to careers in data science and analytics.

Best Scientists Citing Chris N. Potts

Trending Scientists

Recently Published Articles