World's Best Scientists 2026 revealed!

Overview

Don H. Johnson is a researcher affiliated with Rice University in the United States. Their work is situated primarily within the field of Engineering, with a particular focus on subfields including Pharmacology, Electrical and Electronic Engineering, Molecular Biology, Materials Chemistry, and Mechanical Engineering.

Their research encompasses diverse topics, notably:

  • Microbial Natural Products and Biosynthesis
  • Electrodeposition and Electroless Coatings
  • Metabolomics and Mass Spectrometry Studies
  • Fungal Biology and Applications
  • Thermal Expansion and Ionic Conductivity
  • Thermodynamic and Structural Properties of Metals and Alloys
  • Semiconductor materials and interfaces

Don H. Johnson has contributed to several recent publications that demonstrate a range of research interests. These include:

  • "Correlative metabologenomics of 110 fungi reveals metabolite-gene cluster pairs," 2023, published in Nature Chemical Biology
  • "Electrodeposition and analysis of thick bismuth films," 2023, published in Scientific Reports
  • "A Survey of Didemnin Depsipeptide Production in Tistrella," 2023, published in Marine Drugs
  • "Contents," 2020, published in Amsterdam University Press eBooks
  • "(Digital Presentation) Nucleation, Growth, and Grain Structure Control of Electrodeposited Graded Density Alloys," 2022, published in ECS Meeting Abstracts

The researcher often collaborates with several colleagues, including Daniel E. Hooks, Robert J. Stankey, David A. Mead, Enkeleda Dervishi, and Ella Hendriks. The number of shared publications ranges from two to three with these frequent coauthors.

The publication venues where Don H. Johnson's work has appeared most often include ECS Meeting Abstracts, Nature Chemical Biology, Scientific Reports, Marine Drugs, and Amsterdam University Press eBooks.

Best Publications

  • Array Signal Processing: Concepts and Techniques

    Don H. Johnson;Dan E. Dudgeon

  • The Elliptic Curve Digital Signature Algorithm (ECDSA)

    Don Johnson;Alfred Menezes;Scott Vanstone

  • Key Agreement Protocols and Their Security Analysis

    Simon Blake-Wilson;Don Johnson;Alfred Menezes

  • Sparse coding via thresholding and local competition in neural circuits

    Christopher J. Rozell;Don H. Johnson;Richard G. Baraniuk;Bruno A. Olshausen

  • Improving the resolution of bearing in passive sonar arrays by eigenvalue analysis

    D. Johnson;S. DeGraaf

  • Point process models of single-neuron discharges

    Don H. Johnson

  • Computation of spectra with unequal resolution using the fast Fourier transform

    A. Oppenheim;D. Johnson;K. Steiglitz

  • Discrete representation of signals

    A.V. Oppenheim;D.H. Johnson

  • Method, storage medium and system for distributing data between computers connected to a network

    Larry A. Ciscon;James D. Wise;Don H. Johnson

  • Signal-to-noise ratio

    Don H. Johnson

  • Information-theoretic analysis of neural coding.

    Don H. Johnson;Charlotte M. Gruner;Keith A. Baggerly;Chandran Seshagiri

  • Method And Apparatus For Compressive Imaging Device Having Startle Reflex

    Ilan N. Goodman;Don H. Johnson;Richard G. Baraniuk;Kevin F. Kelly

  • The transmission of signals by auditory-nerve fiber discharge patterns.

    Don H. Johnson;Ananthram Swami

  • On design criteria and construction of non-coherent space-time constellations

    M.J. Borran;A. Sabharwal;B. Aazhang;D.H. Johnson

  • Computing linear transforms of symbolic signals

    Wei Wang;D.H. Johnson

  • Robust estimation of structured covariance matrices

    D.B. Williams;D.H. Johnson

  • Using the sphericity test for source detection with narrow-band passive arrays

    D.B. Williams;D.H. Johnson

  • On the asymptotics of M-hypothesis Bayesian detection

    C.C. Leang;D.H. Johnson

  • Toward a theory of information processing

    Sinan Sinanović;Don H. Johnson

  • Design Considerations for a New High Data Rate LWD Acoustic Telemetry System

    Vimal Shah;Wallace Gardner;Don H. Johnson;Sinan Sinanovic

Frequent Co-Authors

Richard G. Baraniuk
Richard G. Baraniuk Rice University
Bruno A. Olshausen
Bruno A. Olshausen University of California, Berkeley
Behnaam Aazhang
Behnaam Aazhang Rice University
Marco F. Duarte
Marco F. Duarte University of Massachusetts Amherst
William A. Sethares
William A. Sethares University of Wisconsin–Madison
Nitin Tandon
Nitin Tandon The University of Texas Health Science Center at Houston
Malvin C. Teich
Malvin C. Teich Boston University
Anand G. Dabak
Anand G. Dabak Texas Instruments (United States)
Naomi J. Halas
Naomi J. Halas Rice University

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