World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
25162
World Ranking
9458
National Ranking
4001

Carl Kingsford 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 Carl Kingsford 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: 249 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: 559 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: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 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: 133 publications — 20th percentile

20% of scientists in this discipline score the same or lower.

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

Carl Kingsford 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 Carl Kingsford sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 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: 39 D-Index — 33rd percentile

33% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2012 - Fellow of Alfred P. Sloan Foundation

Overview

Carl Kingsford is affiliated with Carnegie Mellon University in the United States. Their research spans the fields of Biochemistry, Genetics and Molecular Biology as well as Computer Science, with a focus on several associated subfields including Molecular Biology, Artificial Intelligence, Computational Theory and Mathematics, Genetics, and Plant Science.

The main topics of their work include:

  • Genomics and Phylogenetic Studies
  • Algorithms and Data Compression
  • Genomics and Chromatin Dynamics
  • RNA and protein synthesis mechanisms
  • Molecular Biology Techniques and Applications
  • Advanced biosensing and bioanalysis techniques
  • Gene expression and cancer classification

Frequent publication venues for Kingsford's research are:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Journal of Computational Biology
  • Bioinformatics
  • Algorithms for Molecular Biology
  • Journal of Clinical Oncology

Recent papers authored or co-authored by Kingsford include:

  • "Alignment and mapping methodology influence transcript abundance estimation," 2020, Genome biology
  • "Improved design and analysis of practical minimizers," 2020, Bioinformatics
  • "Sequence-specific minimizers via polar sets," 2021, Bioinformatics
  • "Creating and Using Minimizer Sketches in Computational Genomics," 2023, Journal of Computational Biology
  • "Constructing small genome graphs via string compression," 2021, Bioinformatics

The scientist has collaborated frequently with colleagues including Guillaume Marçais, Hongyu Zheng, Yutong Qiu, Minh Hoang, and Rob Patro.

Kingsford has received recognition in the form of awards such as the Fellow of Alfred P. Sloan Foundation in 2012.

Best Publications

  • Salmon provides fast and bias-aware quantification of transcript expression

    Rob Patro;Geet Duggal;Michael I Love;Rafael A Irizarry

  • A fast, lock-free approach for efficient parallel counting of occurrences of k-mers

    Guillaume Marçais;Carl Kingsford

  • Sailfish enables alignment-free isoform quantification from RNA-seq reads using lightweight algorithms

    Robert Patro;Stephen M. Mount;Carl Kingsford

  • What are decision trees

    Carl Kingsford;Steven L Salzberg

  • Sailfish: Alignment-free Isoform Quantification from RNA-seq Reads using Lightweight Algorithms

    Rob Patro;Stephen M. Mount;Carl Kingsford

  • Rapid, accurate, computational discovery of Rho-independent transcription terminators illuminates their relationship to DNA uptake

    Carleton L Kingsford;Kunmi Ayanbule;Steven L Salzberg

  • The power of protein interaction networks for associating genes with diseases

    Saket Navlakha;Carl Kingsford

  • Identification of alternative topological domains in chromatin

    Darya Filippova;Robert Patro;Geet Duggal;Carl Kingsford

  • Global network alignment using multiscale spectral signatures

    Rob Patro;Carl Kingsford

  • Accurate assembly of transcripts through phase-preserving graph decomposition.

    Mingfu Shao;Carl Kingsford

  • The human body at cellular resolution: the NIH Human Biomolecular Atlas Program

    Michael P. Snyder;Shin Lin

  • Alignment and mapping methodology influence transcript abundance estimation.

    Avi Srivastava;Laraib Malik;Hirak Sarkar;Mohsen Zakeri

  • Assembly complexity of prokaryotic genomes using short reads

    Carl Kingsford;Michael C Schatz;Mihai Pop

  • Fast search of thousands of short-read sequencing experiments

    Brad Solomon;Carl Kingsford

  • Network archaeology: uncovering ancient networks from present-day interactions.

    Saket Navlakha;Carl Kingsford

  • Alignment and clustering of phylogenetic markers - implications for microbial diversity studies

    James Robert White;Saket Navlakha;Niranjan Nagarajan;Mohammadreza Ghodsi

  • A Semidefinite Programming Approach to Side Chain Positioning with New Rounding Strategies

    Bernard Chazelle;Carl Kingsford;Mona Singh

  • GiRaF: robust, computational identification of influenza reassortments via graph mining

    Niranjan Nagarajan;Carl Kingsford

  • Revealing biological modules via graph summarization.

    Saket Navlakha;Michael C. Schatz;Carl Kingsford

  • Kourami: graph-guided assembly for novel human leukocyte antigen allele discovery

    Heewook Lee;Carl Kingsford

  • Experimental Construction of Very Large Scale DNA Databases with Associative Search Capability

    John H. Reif;Thomas H. LaBean;Michael Pirrung;Vipul S. Rana

Frequent Co-Authors

Niranjan Nagarajan
Niranjan Nagarajan Genome Institute of Singapore
Mihai Pop
Mihai Pop University of Maryland, College Park
Steven L. Salzberg
Steven L. Salzberg Johns Hopkins University
Ron Shamir
Ron Shamir Tel Aviv University
Maria-Florina Balcan
Maria-Florina Balcan Carnegie Mellon University
Tuomas Sandholm
Tuomas Sandholm Carnegie Mellon University
Sridhar Hannenhalli
Sridhar Hannenhalli National Institutes of Health
James R. White
James R. White Johns Hopkins University School of Medicine
Can Alkan
Can Alkan Bilkent University
Michael C. Schatz
Michael C. Schatz Johns Hopkins 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

Exploring online education can open doors to flexible and affordable pathways in Computer Science and related fields. If you are interested in other STEM areas, you may wonder: can you get a physics degree online? The answer is yes—accredited institutions now offer online physics programs that allow you to study from anywhere.

For those focused on the data-driven side of technology, you may want to know what is the cheapest data science course in the us? Many universities provide quality data science degrees and certificates that fit a wide range of budgets.

If you are pursuing engineering, it is helpful to compare electrical engineering online tuition costs to make an informed decision. Many top-ranked programs deliver the same curriculum as their on-campus counterparts but with added accessibility.

Finally, if you are seeking a quick boost to your career, consider exploring quick certifications that pay well. These certifications can help you gain in-demand skills and qualify for lucrative roles, often in less time than a degree program.

Best Scientists Citing Carl Kingsford

Trending Scientists

Recently Published Articles