| Discipline name | D-Index | World Ranking | Current World Ranking | National Ranking | Current National Ranking | Publications | Citations |
|---|---|---|---|---|---|---|---|
| Computer Science | 50 | 5468 | 5314 | 2496 | 2411 | 96 | 23309 |
The chart shows the history of publications by Chris Peikert between 2001 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Chris Peikert published across 25 years, from 2001 to 2025, averaging 4 papers a year. Output peaked at 9 publications in 2010. 4 of the 100 publications appeared in the last two years.
100 publications in total across all disciplines
| Year | Publications |
|---|---|
| 2001 | 1 |
| 2002 | 0 |
| 2003 | 1 |
| 2004 | 1 |
| 2005 | 1 |
| 2006 | 4 |
| 2007 | 2 |
| 2008 | 5 |
| 2009 | 5 |
| 2010 | 9 |
| 2011 | 6 |
| 2012 | 9 |
| 2013 | 9 |
| 2014 | 4 |
| 2015 | 5 |
| 2016 | 9 |
| 2017 | 2 |
| 2018 | 4 |
| 2019 | 3 |
| 2020 | 5 |
| 2021 | 6 |
| 2022 | 4 |
| 2023 | 1 |
| 2024 | 1 |
| 2025 | 3 |
| Total | 100 |
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 Chris Peikert sits on this spectrum.
This scientist: 96 publications — 7th percentile
7% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
| Publications | Scientists | This scientist |
|---|---|---|
| 32–41 | 7 | |
| 42–51 | 22 | |
| 52–61 | 82 | |
| 62–71 | 134 | |
| 72–81 | 249 | |
| 82–91 | 324 | |
| 92–101 | 421 | 96 |
| 102–111 | 420 | |
| 112–121 | 497 | |
| 122–131 | 544 | |
| 132–141 | 555 | |
| 142–151 | 609 | |
| 152–161 | 559 | |
| 162–171 | 534 | |
| 172–181 | 556 | |
| 182–191 | 583 | |
| 192–201 | 519 | |
| 202–211 | 508 | |
| 212–221 | 490 | |
| 222–231 | 437 | |
| 232–241 | 423 | |
| 242–251 | 408 | |
| 252–261 | 377 | |
| 262–271 | 301 | |
| 272–281 | 335 | |
| 282–291 | 320 | |
| 292–301 | 293 | |
| 302–311 | 250 | |
| 312–321 | 238 | |
| 322–331 | 206 | |
| 332–341 | 209 | |
| 342–351 | 208 | |
| 352–361 | 162 | |
| 362–371 | 176 | |
| 372–381 | 127 | |
| 382–391 | 158 | |
| 392–401 | 128 | |
| 402–411 | 104 | |
| 412–421 | 94 | |
| 422–431 | 99 | |
| 432–441 | 83 | |
| 442–451 | 108 | |
| 452–461 | 73 | |
| 462–471 | 77 | |
| 472–481 | 69 | |
| 482–491 | 84 | |
| 492–501 | 62 | |
| 502–511 | 54 | |
| 512–521 | 57 | |
| 522–531 | 51 | |
| 532–541 | 51 | |
| 542–551 | 32 | |
| 552–561 | 38 | |
| 562–571 | 28 | |
| 572–581 | 43 | |
| 582–591 | 33 | |
| 592–601 | 41 | |
| 602–611 | 32 | |
| 612–621 | 28 | |
| 622–631 | 25 | |
| 632–641 | 27 | |
| 642–651 | 17 | |
| 652–661 | 20 | |
| 662–671 | 17 | |
| 672–681 | 15 | |
| 682–691 | 14 | |
| 692–701 | 21 | |
| 702–711 | 13 | |
| 712–721 | 12 | |
| 722–731 | 19 | |
| 732–741 | 14 | |
| 742–751 | 12 | |
| 752–761 | 10 | |
| 762–771 | 10 | |
| 772–781 | 11 | |
| 782–791 | 10 | |
| 792–801 | 11 | |
| 802–811 | 8 | |
| 812–821 | 8 | |
| 822–831 | 7 | |
| 832–841 | 11 | |
| 842–851 | 10 | |
| 852–861 | 5 | |
| 862–871 | 9 | |
| 872–881 | 4 | |
| 882–891 | 6 | |
| 892–901 | 3 | |
| 902–911 | 6 | |
| 912–921 | 3 | |
| 922–931 | 2 | |
| 932–941 | 2 | |
| 942–951 | 2 | |
| 952–961 | 3 | |
| 962–971 | 3 | |
| 972–981 | 3 | |
| 982–990 | 5 | |
| 991+ | 100 |
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 Chris Peikert sits on this spectrum.
This scientist: 50 D-Index — 62nd percentile
62% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
| D-Index | Scientists | This scientist |
|---|---|---|
| 30–31 | 879 | |
| 32–33 | 983 | |
| 34–35 | 918 | |
| 36–37 | 990 | |
| 38–39 | 968 | |
| 40–41 | 907 | |
| 42–43 | 821 | |
| 44–45 | 763 | |
| 46–47 | 689 | |
| 48–49 | 543 | |
| 50–51 | 543 | 50 |
| 52–53 | 518 | |
| 54–55 | 500 | |
| 56–57 | 458 | |
| 58–59 | 400 | |
| 60–61 | 337 | |
| 62–63 | 308 | |
| 64–65 | 292 | |
| 66–67 | 249 | |
| 68–69 | 213 | |
| 70–71 | 192 | |
| 72–73 | 189 | |
| 74–75 | 165 | |
| 76–77 | 139 | |
| 78–79 | 119 | |
| 80–81 | 121 | |
| 82–83 | 113 | |
| 84–85 | 88 | |
| 86–87 | 87 | |
| 88–89 | 75 | |
| 90–91 | 69 | |
| 92–93 | 57 | |
| 94–95 | 46 | |
| 96–97 | 38 | |
| 98–99 | 34 | |
| 100–101 | 36 | |
| 102–103 | 27 | |
| 104–105 | 37 | |
| 106–107 | 18 | |
| 108–109 | 31 | |
| 110–111 | 19 | |
| 112–113 | 16 | |
| 114–115 | 12 | |
| 116–117 | 20 | |
| 118–119 | 15 | |
| 120–121 | 5 | |
| 122–123 | 20 | |
| 124–125 | 8 | |
| 126–127 | 5 | |
| 128–129 | 7 | |
| 130 | 3 | |
| 131+ | 98 |
Chris Peikert is affiliated with the University of Michigan-Ann Arbor in the United States and specializes in the field of Computer Science. Their research focuses primarily on cryptography and related computational theories, with significant contributions in several subfields and topics within the discipline.
The main areas of study for Peikert include:
The core topics of Peikert's research work cover:
The scientist has authored multiple papers, some of which are recent and notable for their contributions to cryptographic methods and algorithms. Examples include:
Peikert often collaborates with other researchers, with frequent coauthors including:
Their work has been published across a range of scientific venues, including:
Chris Peikert also contributed to a book published by Springer Science+Business Media titled Advances in Cryptology - CRYPTO 2021, reflecting engagement with the academic publishing community beyond journal articles.
In recognition of their contributions, Peikert was awarded the title of Fellow of the Alfred P. Sloan Foundation in 2011.
Craig Gentry;Chris Peikert;Vinod Vaikuntanathan
Vadim Lyubashevsky;Chris Peikert;Oded Regev
Chris Peikert;Brent Waters
Daniele Micciancio;Chris Peikert
Chris Peikert
David Cash;Dennis Hofheinz;Eike Kiltz;Chris Peikert
Richard Lindner;Chris Peikert
Chris Peikert;Vinod Vaikuntanathan;Brent Waters
Zvika Brakerski;Adeline Langlois;Chris Peikert;Oded Regev
Benny Applebaum;David Cash;Chris Peikert;Amit Sahai
Chris Peikert;Alon Rosen
Abhishek Banerjee;Chris Peikert;Alon Rosen
Vadim Lyubashevsky;Chris Peikert;Oded Regev
Joël Alwen;Chris Peikert
Chris Peikert
Chris Peikert
Chris Peikert
Daniele Micciancio;Chris Peikert
Jacob Alperin-Sheriff;Chris Peikert
Chris Peikert
If you think any of the details on this page are incorrect, let us know.
Exploring computer science in the USA opens diverse options for advancing your education and career. Many students and professionals now consider online programs for their flexibility and affordability. For those aiming for leadership within the tech sector, pursuing an online emba can offer advanced management and business skills built on your technical background.
Beyond computer science, related fields such as information management are accessible through the most affordable online mlis programs. These programs prepare graduates for roles in data management, digital libraries, and organizational knowledge systems.
Finding quality graduate education that fits your budget is possible by exploring affordable graduate schools offering a range of specialized online master’s degrees. If your interests lean toward leading teams or organizations, consider an advanced degree such as a doctorate in organizational leadership online. This doctorate can empower you to drive innovation and strategic change in both tech and non-tech environments.
Antleron
University of Oklahoma Health Sciences Center
National Cheng Kung University
University of Oklahoma Health Sciences Center
Claude Bernard University Lyon 1
Ghent University
Sri Lanka Institute of Information Technology
University of Colorado Boulder
TU Wien
Emory University
University of California, Berkeley
University of Colorado Denver
Aarhus University
University of Montpellier
Indian Institute of Technology Delhi
RWTH Aachen University