World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
81
Citations
25926
World Ranking
1027
National Ranking
547

Research.com Recognitions

  • 2004 - Fellow of the American Academy of Arts and Sciences
  • 2003 - Member of the European Academy of Sciences
  • 1996 - ACM Fellow Bernard Chazelle has made fundamental contributions in the design and analysis of algorithms in computational geometry.
  • 1994 - Fellow of John Simon Guggenheim Memorial Foundation

Overview

Bernard Chazelle is affiliated with Princeton University in the United States and has contributed significantly to research in the field of Biochemistry, Genetics and Molecular Biology.

Their main research areas include Bioinformatics and Genomic Networks, Gene expression and cancer classification, Mathematical and Theoretical Epidemiology and Ecology Models, Diffusion and Search Dynamics, Genomics and Phylogenetic Studies, RNA and protein synthesis mechanisms, and Genomics and Chromatin Dynamics.

Their subfields of study emphasize Molecular Biology, Computer Vision and Pattern Recognition, Genetics, Public Health, Environmental and Occupational Health, and Modeling and Simulation.

Bernard Chazelle has published several papers across various venues. Recent publications include:

  • "uKIN Combines New and Prior Information with Guided Network Propagation to Accurately Identify Disease Genes", 2020, Cell Systems
  • "PertInInt: An Integrative, Analytical Approach to Rapidly Uncover Cancer Driver Genes with Perturbed Interactions and Functionalities", 2020, Cell Systems
  • "Network-augmented compartmental models to track asymptomatic disease spread", 2023, Bioinformatics Advances
  • "A Guided Network Propagation Approach to Identify Disease Genes that Combines Prior and New Information", 2020, Lecture notes in computer science
  • "Quick Relaxation in Collective Motion", 2022, arXiv (Cornell University)

Frequent co-authors working with Bernard Chazelle include Mona Singh, Kritkorn Karntikoon, Borislav H. Hristov, Devavrat Vivek Dabke, and Shilpa N. Kobren.

The scientist has published in well-known academic venues, notably:

  • arXiv (Cornell University)
  • Cell Systems
  • Bioinformatics Advances
  • Lecture notes in computer science
  • 2022 IEEE 61st Conference on Decision and Control (CDC)

Awards and recognitions received by Bernard Chazelle comprise:

  • Fellow of the American Academy of Arts and Sciences, 2004
  • Member of the European Academy of Sciences, 2003
  • ACM Fellow, 1996, for fundamental contributions in the design and analysis of algorithms in computational geometry
  • Fellow of John Simon Guggenheim Memorial Foundation, 1994

Best Publications

  • Shape distributions

    Robert Osada;Thomas Funkhouser;Bernard Chazelle;David Dobkin

  • Triangulating a simple polygon in linear time

    Bernard Chazelle

  • Matching 3D models with shape distributions

    R. Osada;T. Funkhouser;B. Chazelle;D. Dobkin;D. Dobkin

  • An optimal algorithm for intersecting line segments in the plane

    Bernard Chazelle;Herbert Edelsbrunner

  • The Discrepancy Method: Randomness and Complexity

    Bernard Chazelle

  • Fractional cascading: I. A data structuring technique

    Bernard Chazelle;Leonidas J. Guibas

  • Whole-proteome prediction of protein function via graph-theoretic analysis of interaction maps

    Elena Nabieva;Kam Jim;Amit Agarwal;Bernard Chazelle

  • Approximate nearest neighbors and the fast Johnson-Lindenstrauss transform

    Nir Ailon;Bernard Chazelle

  • Filtering search: a new approach to query answering

    Bernard Chazelle

  • An optimal convex hull algorithm in any fixed dimension

    Bernard Chazelle

  • The Fast Johnson-Lindenstrauss Transform and Approximate Nearest Neighbors

    Nir Ailon;Bernard Chazelle

  • Parallel Computational Geometry

    Alok Aggarwal;Bernard Chazelle;Leo Guibas;Colm O'Dunlaing

  • The Bloomier filter: an efficient data structure for static support lookup tables

    Bernard Chazelle;Joe Kilian;Ronitt Rubinfeld;Ayellet Tal

  • A minimum spanning tree algorithm with inverse-Ackermann type complexity

    Bernard Chazelle

  • The power of geometric duality

    Bernard Chazelle;Leo J. Guibas;D. T. Lee

  • Functional approach to data structures and its use in multidimensional searching

    Bernard Chazelle

  • Cutting hyperplanes for divide-and-conquer

    Bernard Chazelle

  • A deterministic view of random sampling and its use in geometry

    Bernard Chazelle;Joel Friedman

  • A theorem on polygon cutting with applications

    Bernard Chazelle

  • Visibility and intersection problems in plane geometry

    Bernard Chazelle;Leonidas J. Guibas

  • The Discrepancy Method

    Bernard Chazelle;Bernard Chazelle

Frequent Co-Authors

Herbert Edelsbrunner
Herbert Edelsbrunner Institute of Science and Technology Austria
Micha Sharir
Micha Sharir Tel Aviv University
Leonidas J. Guibas
Leonidas J. Guibas Stanford University
David P. Dobkin
David P. Dobkin Princeton University
Ayellet Tal
Ayellet Tal Technion – Israel Institute of Technology
Jack Snoeyink
Jack Snoeyink University of North Carolina at Chapel Hill
Emo Welzl
Emo Welzl ETH Zurich
Raimund Seidel
Raimund Seidel Saarland University
Der-Tsai Lee
Der-Tsai Lee Academia Sinica

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