World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
66
Citations
19358
World Ranking
2305
National Ranking
1151

Mathematics

D-Index
58
Citations
16833
World Ranking
623
National Ranking
313

Research.com Recognitions

  • 2008 - IEEE Koji Kobayashi Computers and Communications Award “For outstanding achievement and ground breaking contributions in computational complexity and the theory and practice of cryptography”

Overview

Don Coppersmith is affiliated with IBM in the United States and has contributed to both mathematics and computer science research. Their recent work spans multiple areas within these fields, with publications addressing topics in geometry, algebra, discrete mathematics, and computational theory.

Their notable papers include:

  • "Ideal solutions in the Prouhet-Tarry-Escott problem," published in 2023 in Mathematics of Computation
  • "Ideal solutions in the Prouhet-Tarry-Escott problem," published in 2023 in arXiv (Cornell University)

Coppersmith's collaboration network includes frequent co-authors such as Michael J. Mossinghoff, Danny Scheinerman, and Jeffrey M. VanderKam.

The primary venues where their work has appeared are:

  • Mathematics of Computation
  • arXiv (Cornell University)

The main fields of study for Coppersmith are:

  • Mathematics
  • Computer Science

Within these fields, their subfields of focus include:

  • Geometry and Topology
  • Discrete Mathematics and Combinatorics
  • Computational Theory and Mathematics
  • Artificial Intelligence

Coppersmith's research has covered several specialized topics such as:

  • Geometric and Algebraic Topology
  • Finite Group Theory Research
  • Algebraic Geometry and Number Theory
  • Limits and Structures in Graph Theory
  • Semigroups and Automata Theory
  • Coding Theory and Cryptography

In 2008, Coppersmith was recognized with the IEEE Koji Kobayashi Computers and Communications Award for contributions to computational complexity and cryptography.

Best Publications

  • Matrix multiplication via arithmetic progressions

    Don Coppersmith;Shmuel Winograd

  • Small Solutions to Polynomial Equations, and Low Exponent RSA Vulnerabilities

    Don Coppersmith

  • The Data Encryption Standard (DES) and its strength against attacks

    D. Coppersmith

  • The shrinking generator

    Don Coppersmith;Hugo Krawczyk;Yishay Mansour

  • Algorithms for sliding block codes---An application of symbolic dynamics to information theory

    R. Adler;D. Coppersmith;M. Hassner

  • Finding a small root of a univariate modular equation

    Don Coppersmith

  • Fast evaluation of logarithms in fields of characteristic two

    D. Coppersmith

  • The minimum latency problem

    Avrim Blum;Prasad Chalasani;Don Coppersmith;Bill Pulleyblank

  • An approximate Fourier transform useful in quantum factoring

    D. Coppersmith

  • Discrete logarithms in GF ( p )

    Don Coppersmith;Andrew M. Odlyzko;Richard Schroeppel

  • Finding a small root of a bivariate integer equation; factoring with high bits known

    Don Coppersmith

  • On the Asymptotic Complexity of Matrix Multiplication

    Don Coppersmith;Shmuel Winograd

  • Lattice attacks on NTRU

    Don Coppersmith;Adi Shamir

  • A Combinatorial Problem Related to Multimodule Memory Organizations

    Unknown

  • MARS - a candidate cipher for AES

    Carolynn Burwick;Don Coppersmith;Edward D’Avignon;Rosario Gennaro

  • Data authentication using modification detection codes based on a public one way encryption function

    Bruno O. Brachtl;Don Coppersmith;Myrna M. Hyden;Stephen M. Matyas

  • System for protection of goods against counterfeiting

    Don Coppersmith;Claude A. Greengard;Charles P. Tresser;Chai Wah Wu

  • Solving homogeneous linear equations over GF (2) via block Wiedemann algorithm

    Unknown

  • Low-exponent RSA with related messages

    Don Coppersmith;Matthew Franklin;Jacques Patarin;Michael Reiter

  • The diameter of a long-range percolation graph

    Don Coppersmith;David Gamarnik;Maxim Sviridenko

  • Linearity testing in characteristic two

    M. Bellare;D. Coppersmith;J. Hastad;M. Kiwi

  • Almost Optimal Hash Sequence Traversal.

    Don Coppersmith;Markus Jakobsson

Frequent Co-Authors

Charanjit S. Jutla
Charanjit S. Jutla IBM (United States)
Shai Halevi
Shai Halevi Amazon (United States)
Prabhakar Raghavan
Prabhakar Raghavan Google (United States)
Stephen M. Matyas
Stephen M. Matyas IBM (United States)
Phillip Rogaway
Phillip Rogaway University of California, Davis
Chai Wah Wu
Chai Wah Wu IBM (United States)
Minerva M. Yeung
Minerva M. Yeung Institute of Electrical and Electronics Engineers
Madhu Sudan
Madhu Sudan Harvard University
Baruch Schieber
Baruch Schieber New Jersey Institute of Technology
Rosario Gennaro
Rosario Gennaro City College of New York

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

For students interested in advancing their mathematics education, exploring related online degrees can open doors to diverse career paths. Many professionals in mathematics pivot towards areas like business administration and data analysis to enhance their skill set and marketability.

For those considering business-oriented careers, 1 year MBA programs offer an accelerated path to leadership roles. These programs provide a focused curriculum that quickly builds management and analytical skills relevant to mathematicians transitioning into business.

Transferability is often a key concern, with many students wondering can you transfer MBA credits from previous coursework. Understanding credit transfer policies can save time and expense, especially when combining mathematics and business education.

Another growing field linked to mathematics is data analysis. A master in data analytics equips students with skills to interpret complex datasets, a valuable asset in numerous industries including finance, technology, and healthcare.

For those balancing work and study, opting for the easiest MBA programs to get into can provide flexible scheduling and less competitive admissions, making it more feasible to pursue graduate education alongside existing commitments.

Best Scientists Citing Don Coppersmith

Trending Scientists

Recently Published Articles