World's Best Scientists 2026 revealed!
Ørnulf Borgan

Ørnulf Borgan

D-Index & Metrics

Mathematics

D-Index
35
Citations
6167
World Ranking
2744
National Ranking
20

Ørnulf Borgan 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 Ørnulf Borgan 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: 98 publications — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Ørnulf Borgan 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 Ørnulf Borgan 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: 35 D-Index — 25th percentile

25% of scientists in this discipline score the same or lower.

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

Overview

Ørnulf Borgan is affiliated with the University of Oslo in Norway, where their research spans across multiple interdisciplinary fields. Their work primarily focuses on the integration of statistical methods with biological and environmental sciences.

The scientist's main fields of study include:

  • Mathematics
  • Biochemistry, Genetics and Molecular Biology

Within these areas, their research contributions delve into several subfields such as:

  • Statistics and Probability
  • Molecular Biology
  • Building and Construction
  • Geochemistry and Petrology
  • Artificial Intelligence

Their work consistently addresses topics including:

  • Statistical Methods and Inference
  • Gene expression and cancer classification
  • Statistical Methods and Bayesian Inference
  • Bioinformatics and Genomic Networks
  • Recycling and utilization of industrial and municipal waste in materials production
  • Coal and Its By-products
  • Aquaculture disease management and microbiota

Among notable recent publications attributed to them are:

  • Metagenomic Shotgun Analyses Reveal Complex Patterns of Intra- and Interspecific Variation in the Intestinal Microbiomes of Codfishes, 2020, Applied and Environmental Microbiology
  • Variation in chemical composition of MSWI fly ash and dry scrubber residues, 2021, Waste Management
  • Continuous and discrete-time survival prediction with neural networks, 2021, Lifetime Data Analysis
  • DNA copy number motifs are strong and independent predictors of survival in breast cancer, 2020, Communications Biology
  • Tailored graphical lasso for data integration in gene network reconstruction, 2021, BMC Bioinformatics

Ørnulf Borgan has frequently published in venues including:

  • Scandinavian Journal of Statistics
  • Applied and Environmental Microbiology
  • Waste Management
  • Lifetime Data Analysis
  • Communications Biology

Frequent collaborators in their research include:

  • Ingrid K. Glad
  • Camilla Lingjærde
  • Tonje G. Lien
  • Eirik Nøst Nedkvitne
  • Dag Øistein Eriksen

The scientist's research portfolio shows a blend of advanced quantitative methods applied to biological data, environmental issues, and materials science. The intersection of mathematics, molecular biology, and artificial intelligence frames much of their recent investigative focus.

Best Publications

  • Statistical Models Based on Counting Processes

    Frank Coolen

  • Predicting survival from microarray data—a comparative study

    H.M. Bøvelstad;S. Nygård;H.L. Størvold;M. Aldrin

  • Exposure stratified case-cohort designs.

    Ornulf Borgan;Bryan Langholz;Sven Ove Samuelsen;Larry Goldstein

  • Counting process models for life history data: a review

    Per Kragh Andersen;Ørnulf Borgan

  • Time-to-Event Prediction with Neural Networks and Cox Regression

    Håvard Kvamme;Ørnulf Borgan;Ida Scheel

  • Linear Nonparametric Tests for Comparison of Counting Processes, with Applications to Censored Survival Data, Correspondent Paper

    Per Kragh Andersen;Ørnulf Borgan;Richard Gill;Niels Keiding

  • A method for checking regression models in survival analysis based on the risk score.

    Jon Ketil Grønnesby;Ørnulf Borgan

  • Methods for the Analysis of Sampled Cohort Data in the Cox Proportional Hazards Model

    Ørnulf Borgan;L. Goldstein;Bryan Langholz

  • Counter-matching: A stratified nested case-control sampling method

    Bryan Langholz;Ørnulf Borgan

  • Maximum likelihood estimation in parametric counting process models, with applications to censored failure time data

    O. Borgan

  • A note on confidence intervals and bands for the survival function based on transformations

    Ø. Borgan;K. Liestøl

  • Censoring, truncation and filtering in statistical models based on counting processes

    P. K. Andersen;O. Borgan;Richard David Gill;N. Keiding

  • The Statistical Analysis of Failure Time Data

    Ørnulf Borgan

  • Survival prediction from clinico-genomic models - a comparative study

    Hege M Bøvelstad;Ståle Nygård;Ståle Nygård;Ørnulf Borgan

  • Survival models and martingale dynamics: original text, discussion and reply

    Elja Arjas;N. Keiding;O. Borgan;P. K. Andersen

  • Continuous and discrete-time survival prediction with neural networks.

    Håvard Kvamme;Ørnulf Borgan

  • Estimation of absolute risk from nested case-control data.

    Bryan Langholz;Ørnulf Borgan

  • Confidence intervals and confidence bands for the cumulative hazard rate function and their small sample properties

    Ole Bie;Ørnulf Borgan;Knut Liestøl

  • Covariate adjustment of event histories estimated from Markov chains: the additive approach.

    Odd O. Aalen;Ørnulf Borgan;Harald Fekjær

  • Dynamic analysis of multivariate failure time data.

    Odd O. Aalen;Johan Fosen;Harald Weedon-Fekjær;Ørnulf Borgan

Frequent Co-Authors

Odd O. Aalen
Odd O. Aalen University of Oslo
Per Kragh Andersen
Per Kragh Andersen University of Copenhagen
Niels Keiding
Niels Keiding University of Copenhagen
Richard D. Gill
Richard D. Gill Leiden University
Anne Lise Børresen-Dale
Anne Lise Børresen-Dale Oslo University Hospital
Kjetill S. Jakobsen
Kjetill S. Jakobsen University of Oslo
Jan M. Hoem
Jan M. Hoem Max Planck Society
Peter Van Loo
Peter Van Loo The Francis Crick Institute
David C. Wedge
David C. Wedge University of Manchester
Terje R. Pedersen
Terje R. Pedersen Oslo University Hospital

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