World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
48
Citations
14994
World Ranking
6040
National Ranking
2722

Randal Burns 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 Randal Burns 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: 205 publications — 48th percentile

48% of scientists in this discipline score the same or lower.

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

Randal Burns 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 Randal Burns 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: 48 D-Index — 58th percentile

58% 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

  • 2009 - ACM Senior Member

Overview

Randal Burns is affiliated with Johns Hopkins University in the United States. Their research primarily focuses on the field of Computer Science, with an emphasis on several subfields, including Computer Networks and Communications, Artificial Intelligence, Molecular Biology, Cognitive Neuroscience, and Computer Vision and Pattern Recognition.

The scientist's work covers a range of topics such as Caching and Content Delivery, Functional Brain Connectivity Studies, Graph Theory and Algorithms, Complexity and Algorithms in Graphs, Scientific Computing and Data Management, Advanced Data Storage Technologies, and Cell Image Analysis Techniques.

Randal Burns has contributed to multiple publication venues, with notable frequent appearances in:

  • arXiv (Cornell University)
  • Annual Review of Neuroscience
  • 2021 IEEE International Conference on Big Data (Big Data)
  • Nature Communications
  • bioRxiv (Cold Spring Harbor Laboratory)

Their recent papers include:

  • "Toward Community-Driven Big Open Brain Science: Open Big Data and Tools for Structure, Function, and Genetics" (2020, Annual Review of Neuroscience)
  • "Streaming Sparse Graphs using Efficient Dynamic Sets" (2021, 2021 IEEE International Conference on Big Data (Big Data))
  • "Prospective Learning: Principled Extrapolation to the Future" (2022, arXiv (Cornell University))
  • "Supervised dimensionality reduction for big data" (2021, Nature Communications)
  • "A low-resource reliable pipeline to democratize multi-modal connectome estimation and analysis" (2021, bioRxiv (Cold Spring Harbor Laboratory))

Frequent co-authors who have collaborated with Randal Burns include Joshua T Vogelstein, Brian Wheatman, Meghana Madhyastha, Carey E. Priebe, and Adam S. Charles.

Randal Burns was recognized as an ACM Senior Member in 2009.

Best Publications

  • Provable Data Possession at Untrusted Stores.

    Giuseppe Ateniese;Randal C. Burns;Reza Curtmola;Joseph Herring

  • A public turbulence database cluster and applications to study Lagrangian evolution of velocity increments in turbulence

    Yi Li;Eric Perlman;Minping Wan;Yunke Yang

  • MR-PDP: Multiple-Replica Provable Data Possession

    R. Curtmola;O. Khan;R. Burns;G. Ateniese

  • Remote data checking using provable data possession

    Giuseppe Ateniese;Randal Burns;Reza Curtmola;Joseph Herring

  • Rethinking erasure codes for cloud file systems: minimizing I/O for recovery and degraded reads

    Osama Khan;Randal Burns;James Plank;William Pierce

  • Whole-brain serial-section electron microscopy in larval zebrafish

    David Grant Colburn Hildebrand;Marcelo Cicconet;Russel M. Iguel Torres;Russel M. Iguel Torres;Woohyuk Choi

  • Continuous availability and efficient backup for externally referenced objects

    Randal Chilton Burns;Inderpal Singh Narang

  • Data exploration of turbulence simulations using a database cluster

    Eric Perlman;Randal Burns;Yi Li;Charles Meneveau

  • Remote data checking for network coding-based distributed storage systems

    Bo Chen;Reza Curtmola;Giuseppe Ateniese;Randal Burns

  • System and method for differential compression of data from a plurality of binary sources

    Miklos Ajtai;Randal Chilton Burns;Ronald Fagin;Larry Joseph Stockmeyer

  • FlashGraph: processing billion-node graphs on an array of commodity SSDs

    Da Zheng;Disa Mhembere;Randal Burns;Joshua Vogelstein

  • A Web services accessible database of turbulent channel flow and its use for testing a new integral wall model for LES

    J. Graham;K. Kanov;X. I. A. Yang;M. Lee

  • Secure array of remotely encrypted storage devices

    Randal Chilton Burns;Edward Gustav Chron;Darrell Long;Benjamin Clay Reed

  • Method for generating and reconstructing in-place delta files

    Randal Chilton Burns;Darrell D. E. Long

  • Ext3cow: a time-shifting file system for regulatory compliance

    Zachary Peterson;Randal Burns

  • Decentralized remotely encrypted file system

    Randal Chilton Burns;Edward Gustav Chron;Darrell Long;Benjamin Clay Reed

  • Robust remote data checking

    Reza Curtmola;Osama Khan;Randal Burns

  • Lease based safety protocol for distributed system with multiple networks

    Randal Chilton Burns;Atul Goel;Darrell D. E. Long;Robert Michael Rees

  • Compactly encoding unstructured inputs with differential compression

    Miklos Ajtai;Randal Burns;Ronald Fagin;Darrell D. E. Long

  • Multilevel streaming for out-of-core surface reconstruction

    Matthew Bolitho;Michael Kazhdan;Randal Burns;Hugues Hoppe

Frequent Co-Authors

Joshua T. Vogelstein
Joshua T. Vogelstein Johns Hopkins University
Alexander S. Szalay
Alexander S. Szalay Johns Hopkins University
Darrell D. E. Long
Darrell D. E. Long University of California, Santa Cruz
Carey E. Priebe
Carey E. Priebe Johns Hopkins University
Charles Meneveau
Charles Meneveau Johns Hopkins University
Michael Kazhdan
Michael Kazhdan Johns Hopkins University
Gregory L. Eyink
Gregory L. Eyink Johns Hopkins University
Andreas Terzis
Andreas Terzis Google (United States)
Jeff W. Lichtman
Jeff W. Lichtman Harvard University
Giuseppe Ateniese
Giuseppe Ateniese George Mason 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

Studying Computer Science in the USA offers a gateway to various related degrees and career paths through flexible online programs. Many students choose to expand their skills with specialized degrees in areas like engineering, physics, or data science. Exploring these pathways can lead to exciting roles in tech, research, and engineering fields.

Those interested in sustainability and technology can consider options like the cheapest online environmental science degree programs, which blend computer science concepts with environmental problem-solving. Similarly, online mechanical engineering degrees are also popular and offer technical skills valued in various industries.

For students fascinated by theory and application, the best online physics degree programs provide a strong mathematical background and engineering insights that complement computer science training. On the data-driven side, you may want to explore what is the cheapest data science course in the us? to gain highly demanded data analytics skills.

By combining computer science with these online degrees, graduates can boost their professional prospects and make themselves more marketable in today’s digital landscape.

Best Scientists Citing Randal Burns

Trending Scientists

Recently Published Articles