World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
43
Citations
10766
World Ranking
7832
National Ranking
68

Elisabeth Oswald 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 Elisabeth Oswald 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: 108 publications — 11th percentile

11% of scientists in this discipline score the same or lower.

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

Elisabeth Oswald 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 Elisabeth Oswald 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: 43 D-Index — 46th percentile

46% of scientists in this discipline score the same or lower.

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

Overview

Elisabeth Oswald is affiliated with the University of Klagenfurt in Austria. Their research spans multiple fields primarily centered on Computer Science and Medicine, with a significant focus on cryptography and security.

They have contributed extensively to the study of cryptographic implementations and security as well as hardware security, with notable work on Physical Unclonable Functions (PUFs). Their research also covers advanced malware detection techniques and chaos-based image and signal encryption, alongside security and verification in computing, coding theory and cryptography, and osteoarthritis treatment and mechanisms.

Frequent coauthors in their research include Si Gao, Thomas Marquet, Arnab Roy, Marianna Vitaloni, and Angie Botto-van Bemden.

Elisabeth Oswald's publications appear across a range of venues, including:

  • IACR Communications in Cryptology
  • Research Square (Research Square)
  • Journal of Cryptographic Engineering
  • IEEE Transactions on Information Forensics and Security

Selected recent papers by Elisabeth Oswald include:

  • Exploring Parallelism to Improve the Performance of FrodoKEM in Hardware, 2021, Journal of Cryptographic Engineering
  • Efficiently Detecting Masking Flaws in Software Implementations, 2024, IACR Communications in Cryptology
  • A patients' view of OA: the Global Osteoarthritis Patient Perception Survey (GOAPPS), a pilot study, 2020, Research Square (Research Square)
  • Neyman's Smoothness Test: A Trade-Off Between Moment-Based and Distribution-Based Leakage Detections, 2021, IEEE Transactions on Information Forensics and Security

In addition to journal publications, Elisabeth Oswald has contributed to book publications, including a work published by Springer Science+Business Media titled Progress in Cryptology - INDOCRYPT 2020.

Best Publications

  • Power Analysis Attacks: Revealing the Secrets of Smart Cards

    Stefan Mangard;Elisabeth Oswald;Thomas Popp

  • Power Analysis Attacks: Revealing the Secrets of Smart Cards (Advances in Information Security)

    Stefan Mangard;Elisabeth Oswald;Thomas Popp

  • An ASIC Implementation of the AES SBoxes

    Johannes Wolkerstorfer;Elisabeth Oswald;Mario Lamberger

  • Successfully attacking masked AES hardware implementations

    Stefan Mangard;Norbert Pramstaller;Elisabeth Oswald

  • A side-channel analysis resistant description of the AES s-box

    Elisabeth Oswald;Stefan Mangard;Norbert Pramstaller;Vincent Rijmen

  • An AES smart card implementation resistant to power analysis attacks

    Christoph Herbst;Elisabeth Oswald;Stefan Mangard

  • Power-analysis attack on an ASIC AES implementation

    S.B. Ors;F. Gurkaynak;E. Oswald;B. Preneel

  • The World is Not Enough: Another Look on Second-Order DPA

    François-Xavier Standaert;Nicolas Veyrat-Charvillon;Elisabeth Oswald;Benedikt Gierlichs

  • Cryptographic Hardware and Embedded Systems Ches 2008

    Elisabeth Oswald;Pankaj Rohatgi

  • One for all - all for one: unifying standard differential power analysis attacks

    Stefan Mangard;Elisabeth Oswald;François-Xavier Standaert

  • A Comprehensive Evaluation of Mutual Information Analysis Using a Fair Evaluation Framework.

    Carolyn Whitnall;Elisabeth Oswald

  • Practical template attacks

    Christian Rechberger;Elisabeth Oswald

  • Practical second-order DPA attacks for masked smart card implementations of block ciphers

    Elisabeth Oswald;Stefan Mangard;Christoph Herbst;Stefan Tillich

  • Power-Analysis Attacks on an FPGA--First Experimental Results

    Sıddıka Berna Örs;Elisabeth Oswald;Bart Preneel

  • Randomized Addition-Subtraction Chains as a Countermeasure against Power Attacks

    Elisabeth Oswald;Manfred Aigner

  • Template attacks on masking—resistance is futile

    Elisabeth Oswald;Stefan Mangard

  • Update on SHA-1.

    Vincent Rijmen;Elisabeth Oswald

  • Leakage Resilient Cryptography in Practice

    François-Xavier Standaert;Olivier Pereira;Yu Yu;Jean-Jacques Quisquater

  • An efficient masking scheme for AES software implementations

    Elisabeth Oswald;Kai Schramm

  • Power Analysis Attacks and Countermeasures

    T. Popp;E. Oswald;S. Mangard

  • Does My Device Leak Information? An a priori Statistical Power Analysis of Leakage Detection Tests

    Luke Mather;Elisabeth Oswald;Joe Bandenburg;Marcin Wójcik

  • Cryptographic hardware and embedded systems : CHES 2008 : 10th International Workshop, Washington, D.C., USA, August 10-13, 2008 : proceedings

    Elisabeth Oswald;Pankaj Rohatgi

Frequent Co-Authors

Stefan Mangard
Stefan Mangard Graz University of Technology
François-Xavier Standaert
François-Xavier Standaert Université Catholique de Louvain
Moti Yung
Moti Yung Columbia University
Francesco Regazzoni
Francesco Regazzoni Polytechnic University of Milan
Lejla Batina
Lejla Batina Radboud University
Bart Preneel
Bart Preneel KU Leuven
Jean-Jacques Quisquater
Jean-Jacques Quisquater Université Catholique de Louvain
Thomas Eisenbarth
Thomas Eisenbarth University of Lübeck

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