World's Best Scientists 2026 revealed!
Award Badge
Computer Science
Japan
2025

D-Index & Metrics

Computer Science

D-Index
52
Citations
10015
World Ranking
5118
National Ranking
62

Research.com Recognitions

  • 2025 - Research.com Computer Science in Japan Leader Award
  • 2022 - Research.com Computer Science in Japan Leader Award
  • 2019 - Ellis Fellow
  • 2011 - IEEE Senior Member
  • 2007 - ACM Senior Member

Overview

Frank Nielsen is affiliated with Sony Computer Science Laboratories in Japan. The primary areas of research cover a broad range within computer science, mathematics, and physics and astronomy. Their work contributes extensively to subfields such as statistical and nonlinear physics, statistics and probability, artificial intelligence, computer vision and pattern recognition, and computational theory and mathematics.

The topics central to their research include statistical mechanics and entropy, advanced statistical methods and models, topological and geometric data analysis, Bayesian methods and mixture models, mathematical inequalities and applications, neural networks and applications, and statistical methods and inference.

Frequent collaborators include Kazuki Okamura, Richard Nock, Rob Brekelmans, Frédéric Barbaresco, and Nicolas Dupin.

Notable recent papers by Frank Nielsen are:

  • An Elementary Introduction to Information Geometry, 2020, Entropy
  • The Many Faces of Information Geometry, 2021, Notices of the American Mathematical Society
  • The Kullback-Leibler Divergence Between Lattice Gaussian Distributions, 2022, Journal of the Indian Institute of Science
  • On Voronoi Diagrams on the Information-Geometric Cauchy Manifolds, 2020, Entropy

Among frequent publication venues are:

  • arXiv (Cornell University)
  • Entropy
  • Information Geometry
  • Signals and communication technology
  • Notices of the American Mathematical Society

Frank Nielsen has also contributed to academic books published by Springer Science+Business Media and Springer Vienna. These include:

  • Geometric Science of Information (2021 and 2023 editions)
  • Progress in Information Geometry (2021)

In recognition of their professional standing, Frank Nielsen was awarded the ACM Senior Member distinction in 2007.

Best Publications

  • Statistical region merging

    R. Nock;F. Nielsen

  • DeepBach: a steerable model for bach chorales generation

    Gaëtan Hadjeres;François Pachet;Frank Nielsen

  • On weighting clustering

    R. Nock;F. Nielsen

  • Introduction to HPC with MPI for Data Science

    Frank Nielsen

  • K-nearest neighbor search: Fast GPU-based implementations and application to high-dimensional feature matching

    Vincent Garcia;Eric Debreuve;Frank Nielsen;Michel Barlaud

  • Sided and Symmetrized Bregman Centroids

    F. Nielsen;R. Nock

  • An elementary introduction to information geometry

    Frank Nielsen

  • Statistical exponential families: A digest with flash cards

    Frank Nielsen;Vincent Garcia

  • The Burbea-Rao and Bhattacharyya Centroids

    F. Nielsen;S. Boltz

  • Matrix Information Geometry

    Frank Nielsen;Rajendra Bhatia

  • Bregman Voronoi Diagrams

    Jean-Daniel Boissonnat;Frank Nielsen;Richard Nock

  • A Review of Two Decades of Correlations, Hierarchies, Networks and Clustering in Financial Markets

    Gautier Marti;Frank Nielsen;Mikołaj Bińkowski;Philippe Donnat

  • Bregman Voronoi Diagrams: Properties, Algorithms and Applications

    Jean-Daniel Boissonnat;Frank Nielsen;Richard Nock

  • A sketching interface for modeling the internal structures of 3D shapes

    Shigeru Owada;Frank Nielsen;Kazuo Nakazawa;Takeo Igarashi

  • Shape Retrieval Using Hierarchical Total Bregman Soft Clustering

    Meizhu Liu;B. C. Vemuri;Shun-Ichi Amari;F. Nielsen

  • Total Bregman Divergence and Its Applications to DTI Analysis

    B C Vemuri;Meizhu Liu;Shun-Ichi Amari;F Nielsen

  • Volumetric illustration: designing 3D models with internal textures

    Shigeru Owada;Frank Nielsen;Makoto Okabe;Takeo Igarashi

  • A closed-form expression for the Sharma-Mittal entropy of exponential families

    Frank Nielsen;Richard Nock

  • On Bregman Voronoi diagrams

    Frank Nielsen;Jean-Daniel Boissonnat;Richard Nock

  • On a Generalization of the Jensen-Shannon Divergence and the Jensen-Shannon Centroid.

    Frank Nielsen

  • Image processing apparatus, image processing method, and computer program

    Frank Nielsen

Frequent Co-Authors

Richard Nock
Richard Nock Australian National University
Michel Barlaud
Michel Barlaud Université Côte d'Azur
Takeo Igarashi
Takeo Igarashi University of Tokyo
Shun-ichi Amari
Shun-ichi Amari RIKEN Center for Brain Science
Baba C. Vemuri
Baba C. Vemuri University of Florida
El-Ghazali Talbi
El-Ghazali Talbi University of Lille
Jean-Daniel Boissonnat
Jean-Daniel Boissonnat Université Côte d'Azur
François Pachet
François Pachet Sorbonne University
Micha Sharir
Micha Sharir Tel Aviv University
Alon Efrat
Alon Efrat University of Arizona

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

Exploring online degree options can open up diverse opportunities in computer science and related fields. Many students are choosing an accelerated cs degree to quickly enter the workforce or advance their careers, while enjoying the flexibility of distance learning.

Beyond core computer science, interdisciplinary studies are increasingly valuable. For those interested in education and sustainability, there are a surprising number of jobs with elementary education and environmental science degree backgrounds. This pathway lets you apply tech skills to both teaching and environmental advocacy.

The STEM field also offers growing online options. Consider pursuing an environmental engineering bachelor's degree online for a blend of technical and environmental expertise, or explore online mechanical engineering degrees to prepare for innovation in automated systems and manufacturing.

With these flexible study options, students can tailor their education to match their career ambitions—all from anywhere in the world.

Best Scientists Citing Frank Nielsen

Trending Scientists

Recently Published Articles