World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
39
Citations
33151
World Ranking
2109
National Ranking
891

Julian Besag 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 Julian Besag 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: 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.

Julian Besag 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 Julian Besag 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

Julian Besag was affiliated with the University of Washington in the United States. Their academic career focused on research within unspecified fields and subfields of study, with no specific topics or publications recorded in the available data.

There is no detailed record of recent papers, co-authors, or frequent publication venues associated with Julian Besag. Likewise, information about book publications or awards they may have received is not available in the provided sources.

Given the lack of precise bibliographic or thematic details, it is not possible to enumerate specific research topics or areas of expertise beyond the institutional association at the University of Washington. The absence of listed publications and collaborations suggests that public bibliographic records for this individual may be limited or incomplete.

The status of Julian Besag is noted as deceased. All information is conveyed in the past tense accordingly. Despite the limited data, the association with a major research university implies participation in academic research activities during their professional tenure.

Best Publications

  • Spatial Interaction and the Statistical Analysis of Lattice Systems

    Julian Besag

  • On the statistical analysis of dirty pictures

    Julian Besag

  • Bayesian image restoration, with two applications in spatial statistics

    Julian Besag;Jeremy York;Annie Mollié

  • Statistical Analysis of Non-Lattice Data

    Julian Besag

  • Bayesian Computation and Stochastic Systems

    Julian Besag;Peter Green;David Higdon;Kerrie L. Mengersen

  • On conditional and intrinsic autoregressions

    Julian Besag;Charles Kooperberg

  • Spatial Statistics and Bayesian Computation

    Julian Besag;Peter J. Green

  • The Detection of Clusters in Rare Diseases

    Julian Besag;James Newell

  • Simple Monte Carlo Tests for Spatial Pattern

    Julian Besag;Peter J. Diggle

  • Efficiency of pseudolikelihood estimation for simple Gaussian fields

    Julian Besag

  • Modelling risk from a disease in time and space.

    Leonhard Knorr-Held;Julian Besag

  • On Bayesian analysis of mixtures with an unknown number of components. Discussion. Author's reply

    S. Richardson;P. J. Green;C. P. Robert;M. Aitkin

  • Generalized Monte Carlo significance tests

    Julian Besag;Peter Clifford

  • [Bayesian Computation and Stochastic Systems]: Rejoinder

    Julian Besag;Peter Green;David Higdon;Kerrie Mengersen

  • Nearest-Neighbour Systems and the Auto-Logistic Model for Binary Data

    J. E. Besag

  • Statistical Analysis of Spatial Point Patterns by Means of Distance Methods

    Peter J. Diggle;Julian Besagi;J. Timothy Gleaves

  • Digital Image Processing: Towards Bayesian image analysis

    Julian Besag

  • Sequential Monte Carlo p-values

    Julian Besag;Peter Clifford

  • Towards Bayesian image analysis

    Julian Besag

  • On the estimation and testing of spatial interaction in Gaussian lattice processes

    J. E. Besag;P. A. P. Moran

  • Rejoinder (Bayesian image restoration,with two applications in spatial statistics)

    Julian Besag

  • Discussion on the paper by Handcock, Raftery and Tantrum

    Tom A. B. Snijders;Tony Robinson;Anthony C. Atkinson;Marco Riani

Frequent Co-Authors

Peter H.R. Green
Peter H.R. Green Columbia University
Kerrie Mengersen
Kerrie Mengersen Queensland University of Technology
Anthony C. Atkinson
Anthony C. Atkinson London School of Economics and Political Science
Peter J. Diggle
Peter J. Diggle Lancaster University
Sylvia Richardson
Sylvia Richardson University of Cambridge
Christian P. Robert
Christian P. Robert Paris Dauphine University
Christopher Jennison
Christopher Jennison University of Bath
Stephen E. Fienberg
Stephen E. Fienberg Carnegie Mellon University
Matthew Stephens
Matthew Stephens University of Chicago
Charles Kooperberg
Charles Kooperberg Fred Hutchinson Cancer Research Center

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

Pursuing a degree in Mathematics opens doors to various interdisciplinary online programs that enhance career prospects. For those interested in business, exploring the fastest mba online programs can be an efficient way to combine analytical skills with leadership expertise.

Mathematics graduates seeking marketing roles can benefit from enrolling in an online marketing degree, which offers affordable options that still yield strong earning potential.

Additionally, many students opt for accelerated options like 1 year mba programs in usa, allowing them to quickly gain advanced knowledge and return to the workforce sooner.

Another key consideration for online learners is whether they can transfer previous credits; many quality programs now accept transfer credits, as detailed in the can you transfer credits into an mba program guide, which can shorten the duration and reduce costs.

Best Scientists Citing Julian Besag

Recently Published Articles