World's Best Scientists 2026 revealed!
Alexander J. Hartemink

Alexander J. Hartemink

D-Index & Metrics

Computer Science

D-Index
40
Citations
11005
World Ranking
9084
National Ranking
3862

Alexander J. Hartemink publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Alexander J. Hartemink sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 250 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 560 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 85 publications — 4th percentile

4% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Alexander J. Hartemink D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Alexander J. Hartemink sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 40 D-Index — 37th percentile

37% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Alexander J. Hartemink is affiliated with Duke University in the United States. Their research spans multiple topics within the broader field of Biochemistry, Genetics, and Molecular Biology, with a significant focus on Molecular Biology, Genetics, Biophysics, and Cancer Research.

Their main research topics include:

  • Genomics and Chromatin Dynamics
  • Gene expression and cancer classification
  • Epigenetics and DNA Methylation
  • RNA Research and Splicing
  • DNA Repair Mechanisms
  • Single-cell and spatial transcriptomics
  • Bacterial Genetics and Biotechnology

Hartemink has contributed to a range of recent papers published in venues such as Genome Research, Nature Genetics, and UNC Libraries. Notable recent publications include:

  • "ChIP-seq guidelines and practices of the ENCODE and modENCODE consortia" (2020, UNC Libraries)
  • "Single-cell multi-ome regression models identify functional and disease-associated enhancers and enable chromatin potential analysis" (2024, Nature Genetics)
  • "Local nucleosome dynamics and eviction following a double-strand break are reversible by NHEJ-mediated repair in the absence of DNA replication" (2021, Genome Research)
  • "Linking the dynamics of chromatin occupancy and transcription with predictive models" (2021, Genome Research)
  • "Spatiotemporal kinetics of CAF-1-dependent chromatin maturation ensures transcription fidelity during S-phase" (2023, Genome Research)

Their frequent coauthors reflect collaboration mainly in the genomics and molecular biology domains. These include:

  • David M. MacAlpine
  • Sneha Mitra
  • Heather K. MacAlpine
  • Jianling Zhong
  • Trung Q. Tran

Alexander J. Hartemink's work has been regularly published in several key venues, with the highest number of publications appearing in bioRxiv (Cold Spring Harbor Laboratory) and Genome Research. Other publication venues include Nature Genetics, UNC Libraries, and Nucleic Acids Research.

Best Publications

  • ChIP-seq guidelines and practices of the ENCODE and modENCODE consortia

    Stephen G. Landt;Georgi K. Marinov;Anshul Kundaje;Pouya Kheradpour

  • Sparse multinomial logistic regression: fast algorithms and generalization bounds

    B. Krishnapuram;L. Carin;M.A.T. Figueiredo;A.J. Hartemink

  • Advances to Bayesian network inference for generating causal networks from observational biological data

    Jing Yu;V. Anne Smith;Paul P. Wang;Alexander J. Hartemink

  • Using graphical models and genomic expression data to statistically validate models of genetic regulatory networks.

    Alexander J. Hartemink;David K. Gifford;Tommi S. Jaakkola;Richard A. Young

  • Convergent transcriptional specializations in the brains of humans and song-learning birds

    Andreas R. Pfenning;Erina Hara;Osceola Whitney;Miriam V. Rivas

  • Computational and experimental identification of novel human imprinted genes

    Philippe P. Luedi;Fred S. Dietrich;Jennifer R. Weidman;Jason M. Bosko

  • Combining location and expression data for principled discovery of genetic regulatory network models.

    Alexander J. Hartemink;David K. Gifford;Tommi S. Jaakkola;Richard A. Young

  • Informative structure priors: joint learning of dynamic regulatory networks from multiple types of data.

    Allister Bernard;Alexander J. Hartemink

  • A Bayesian approach to joint feature selection and classifier design

    B. Krishnapuram;A.J. Harternink;L. Carin;M.A.T. Figueiredo

  • Learning Non-Stationary Dynamic Bayesian Networks

    Joshua W. Robinson;Alexander J. Hartemink

  • Reverse engineering gene regulatory networks

    Alexander J Hartemink

  • Evaluating functional network inference using simulations of complex biological systems.

    V. Anne Smith;Erich D. Jarvis;Alexander J. Hartemink

  • SLICER: inferring branched, nonlinear cellular trajectories from single cell RNA-seq data.

    Joshua D. Welch;Alexander J. Hartemink;Jan F. Prins

  • Computational Inference of Neural Information Flow Networks

    V Anne Smith;Jing Yu;Tom Smulders;Alexander J. Hartemink

  • Distinguishing direct versus indirect transcription Factor-DNA interactions

    Raluca Gordân;Alexander J. Hartemink;Martha L. Bulyk

  • On Semi-Supervised Classification

    Balaji Krishnapuram;David Williams;Ya Xue;Lawrence Carin

  • Maximum likelihood estimation of optimal scaling factors for expression array normalization

    Alexander J. Hartemink;David K. Gifford;Tommi S. Jaakkola;Richard A. Young

  • MATCHER: manifold alignment reveals correspondence between single cell transcriptome and epigenome dynamics.

    Joshua D. Welch;Alexander J. Hartemink;Jan F. Prins

  • Automated constraint-based nucleotide sequence selection for DNA computation.

    Alexander J. Hartemink;David K. Gifford;Julia Khodor

  • An ensemble model of competitive multi-factor binding of the genome

    Todd Wasson;Alexander J. Hartemink

Frequent Co-Authors

Erich D. Jarvis
Erich D. Jarvis Rockefeller University
Lawrence Carin
Lawrence Carin Duke University
Jan F. Prins
Jan F. Prins University of North Carolina at Chapel Hill
Martha L. Bulyk
Martha L. Bulyk Harvard University
Gregory E. Crawford
Gregory E. Crawford Duke University
Saurabh Sinha
Saurabh Sinha University of Illinois at Urbana-Champaign

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