World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
10376
World Ranking
8660
National Ranking
149

Overview

Ronald de Wolf is affiliated with the University of Amsterdam in the Netherlands and specializes primarily in the field of Computer Science. Their research contributions span multiple subfields, with a strong focus on Artificial Intelligence, Computational Theory and Mathematics, as well as Statistics and Probability. Additional areas of interest include Nuclear and High Energy Physics and Discrete Mathematics and Combinatorics.

Their extensive publication record reflects interdisciplinary expertise, incorporating aspects of machine learning, quantum computing, and cryptography. The scientist's primary topics of research include Quantum Computing Algorithms and Architecture, Quantum Information and Cryptography, Machine Learning and Algorithms, Complexity and Algorithms in Graphs, Computability and Logic in AI Algorithms, Stochastic Gradient Optimization Techniques, and Cryptography and Data Security.

Ronald de Wolf has contributed to several notable papers, including:

  • Overview of the first Wendelstein 7-X long pulse campaign with fully water-cooled plasma facing components, 2024, Nuclear Fusion
  • Improved Bounds on Fourier Entropy and Min-entropy, 2021, ACM Transactions on Computation Theory
  • Two new results about quantum exact learning, 2021, Quantum
  • Quantum Coupon Collector, 2020, Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • Bayesian approach to parameter estimation and model validation for nuclear fusion reactor mean-field edge turbulence modelling, 2021, Nuclear Fusion

The venues where Ronald de Wolf frequently publishes include:

  • arXiv (Cornell University)
  • Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • Quantum
  • Nuclear Fusion
  • ACM Transactions on Computation Theory

Frequent co-authors working alongside Ronald de Wolf are:

  • Sourav Chakraborty
  • Nikhil S. Mande
  • Srinivasan Arunachalam
  • Manaswi Paraashar
  • Yanlin Chen

Their research is characterized by intersections between quantum algorithm design, information theory, and machine learning methodologies. The presence of significant work in nuclear fusion as reflected in some publications indicates a multidisciplinary approach encompassing both theoretical computer science and applied physics domains.

Best Publications

  • Quantum fingerprinting

    Harry Buhrman;Richard Cleve;John Watrous;Ronald de Wolf

  • Quantum lower bounds by polynomials

    Robert Beals;Harry Buhrman;Richard Cleve;Michele Mosca

  • Complexity measures and decision tree complexity: a survey

    Harry Buhrman;Ronald de Wolf

  • Foundations of inductive logic programming

    Shan-Hwei Nienhuys-Cheng;Ronald de Wolf;J. Siekmann;J. G. Carbonell

  • Nonlocality and communication complexity

    Harry Buhrman;Richard R. Cleve;Serge Massar;Ronald De Wolf

  • Algorithmic Clustering of Music Based on String Compression

    Rudi Cilibrasi;Paul Vitányi;Paul Vitányi;Ronald De Wolf

  • Private quantum channels

    A. Ambainis;M. Mosca;A. Tapp;R. De Wolf

  • Exponential lower bound for 2-query locally decodable codes via a quantum argument

    Iordanis Kerenidis;Ronald de Wolf

  • Linear vs. semidefinite extended formulations: exponential separation and strong lower bounds

    Samuel Fiorini;Serge Massar;Sebastian Pokutta;Hans Raj Tiwary

  • Quantum lower bounds by polynomials

    R. Beals;H. Buhrman;R. Cleve;M. Mosca

  • Exponential separations for one-way quantum communication complexity, with applications to cryptography

    Dmitry Gavinsky;Julia Kempe;Iordanis Kerenidis;Ran Raz

  • Guest Column: A Survey of Quantum Learning Theory

    Srinivasan Arunachalam;Ronald de Wolf

  • Quantum SDP-Solvers: Better Upper and Lower Bounds

    Joran Van Apeldoorn;Andras Gilyen;Sander Gribling;Ronald de Wolf

  • A Brief Introduction to Fourier Analysis on the Boolean Cube.

    Ronald de Wolf

  • Quantum algorithms for element distinctness

    H. Buhrman;C. Durr;M. Heiligman;P. Hoyer

  • Bounds for small-error and zero-error quantum algorithms

    H. Buhrman;R. Cleve;R. De Wolf;C. Zalka

  • Exponential Lower Bounds for Polytopes in Combinatorial Optimization

    Samuel Fiorini;Serge Massar;Sebastian Pokutta;Hans Raj Tiwary

  • Communication complexity lower bounds by polynomials

    H. Buhrman;R. de Wolf

  • Quantum search on bounded-error inputs

    Peter Høyer;Michele Mosca;Ronald De Wolf

  • A Survey of Quantum Property Testing

    Ashley Montanaro;Ronald de Wolf

  • Exponential Separation for One-Way Quantum Communication Complexity, with Applications to Cryptography

    Dmitry Gavinsky;Julia Kempe;Iordanis Kerenidis;Ran Raz

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

If you're interested in Computer Science but looking for flexible or accelerated options, there are several online degree pathways to consider. Many US institutions offer the shortest masters degree programs online, allowing you to earn a postgraduate qualification in as little as one year. These fast-track degrees can help you advance your career without pausing your professional life.

Choosing the right program is also crucial to your future prospects. Exploring the most valuable masters degrees can guide you toward fields with high demand and competitive salaries. Computer Science consistently ranks among these in-demand specializations.

For those seeking to start sooner or explore career changes, 1 year associate degree programs online provide a quick entry point into technology roles. These programs offer foundational skills for junior positions or pathway credits leading to a full bachelor’s degree.

Finally, affordability remains a key concern for many students. Fortunately, there are numerous cheap online colleges offering recognized degrees in Computer Science and related fields, making quality education more accessible than ever.

Trending Scientists