World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
40
Citations
5969
World Ranking
4540
National Ranking
1608

Research.com Recognitions

  • 1959 - Fellow of the American Statistical Association (ASA)

Overview

Laszlo B. Kish is affiliated with Texas A&M University in the United States. Their research spans multiple domains within computer science and engineering, with a particular emphasis on statistical modeling, neural networks, hardware security, and biomedical engineering.

The scientist's work encompasses a variety of main fields of study:

  • Computer Science
  • Engineering

Within these broad fields, the subfields of study include:

  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Artificial Intelligence
  • Biomedical Engineering
  • Cognitive Neuroscience

The main topics featured in their research are:

  • Advanced Statistical Modeling Techniques
  • Diverse Scientific and Engineering Research
  • Neural Networks and Applications
  • Advanced Chemical Sensor Technologies
  • Physical Unclonable Functions (PUFs) and Hardware Security
  • Neural dynamics and brain function
  • Neuroscience and Neural Engineering

Recent publications by Laszlo B. Kish include a range of articles across notable venues and years:

  • 'Quantum supremacy' revisited: low-complexity, deterministic solutions of the original Deutsch-Jozsa problem in classical physical systems, 2023, Royal Society Open Science
  • Hierarchical organization of human physical activity, 2024, Scientific Reports
  • Current Injection and Voltage Insertion Attacks Against the VMG-KLJN Secure Key Exchanger, 2022, Fluctuation and Noise Letters
  • Transient attacks against the Kirchhoff-Law-Johnson-Noise (KLJN) secure key exchanger, 2023, Applied Physics Letters
  • Contrast detection is enhanced by deterministic, high-frequency transcranial alternating current stimulation with triangle and sine waveform, 2023, Journal of Neurophysiology

Laszlo B. Kish has collaborated frequently with several researchers throughout their career. Notable frequent co-authors include:

  • Shahriar Ferdous
  • Christiana Chamon
  • Chanan Singh
  • Walter C. Daugherity
  • Jiaao Song

The scientist's work is published primarily in the following venues:

  • Fluctuation and Noise Letters
  • arXiv (Cornell University)
  • Preprints.org
  • Scientific Reports
  • Journal of Neurophysiology

In addition to journal articles, Laszlo B. Kish has contributed to the book titled The Random and Fluctuating World, published by World Scientific in 2021.

Laszlo B. Kish was awarded the designation of Fellow of the American Statistical Association (ASA) in 1959.

Best Publications

  • End of Moore's law: thermal (noise) death of integration in micro and nano electronics

    Laszlo B Kish

  • Semiconductor gas sensors based on nanostructured tungsten oxide

    J.L Solis;S Saukko;L Kish;C.G Granqvist

  • Extracting information from noise spectra of chemical sensors: single sensor electronic noses and tongues

    L.B. Kish;R. Vajtai;C.G. Granqvist

  • Totally secure classical communication utilizing Johnson (-like) noise and Kirchoff's law

    Laszlo B. Kish

  • Nanomaterials for benign indoor environments: Electrochromics for 'smart windows', sensors for air quality, and photo-catalysts for air cleaning

    Claes G. Granqvist;A Azens;P Heszler;L B Kish

  • Johnson(-like)-Noise-Kirchhoff-loop based secure classical communicator characteristics, for ranges of two to two thousand kilometers, via model-line ✩

    Robert Mingesz;Zoltan Gingl;Laszlo B. Kish

  • PROTECTION AGAINST THE MAN-IN-THE-MIDDLE-ATTACK FOR THE KIRCHHOFF-LOOP-JOHNSON(-LIKE)-NOISE CIPHER AND EXPANSION BY VOLTAGE-BASED SECURITY

    L. B. Kish

  • Noise-based logic: Binary, multi-valued, or fuzzy, with optional superposition of logic states

    Laszlo B. Kish

  • Noise in the wire: The real impact of wire resistance for the Johnson(-like) noise based secure communicator

    Laszlo B. Kish;Jacob Scheuer

  • Moore's law and the energy requirement of computing versus performance

    L.B. Kish

  • RESPONSE TO FENG HAO'S PAPER "KISH'S KEY EXCHANGE SCHEME IS INSECURE"

    L. B. Kish

  • New approaches for improving selectivity and sensitivity of resistive gas sensors: a review

    Janusz Marek Smulko;Maciej Trawka;Claes Goran Granqvist;Radu Ionescu

  • Effective privacy amplification for secure classical communications

    Tamás Horváth;Laszlo B. Kish;Jacob Scheuer

  • TOTALLY SECURE CLASSICAL NETWORKS WITH MULTIPOINT TELECLONING (TELEPORTATION) OF CLASSICAL BITS THROUGH LOOPS WITH JOHNSON-LIKE NOISE

    Laszlo B. Kish;Robert Mingesz

  • Comparison of Classical and Fluctuation-Enhanced Gas Sensing with PdxWO3 Nanoparticle Films

    Jesper Ederth;Jesper Ederth;J M Smulko;J M Smulko;Laszlo B Kish;Peter Heszler;Peter Heszler

  • UNCONDITIONALLY SECURE COMPUTERS, ALGORITHMS AND HARDWARE, SUCH AS MEMORIES, PROCESSORS, KEYBOARDS, FLASH AND HARD DRIVES

    Laszlo B. Kish;Olivier Saidi

  • PHYSICAL UNCLONEABLE FUNCTION HARDWARE KEYS UTILIZING KIRCHHOFF-LAW- JOHNSON-NOISE SECURE KEY EXCHANGE AND NOISE-BASED LOGIC

    Laszlo B. Kish;Chiman Kwan

  • Response to Scheuer–Yariv: “A classical key-distribution system based on Johnson (like) noise—how secure?”

    L.B. Kish

  • Electrical Maxwell demon and Szilard engine utilizing Johnson noise, measurement, logic and control.

    Laszlo Bela Kish;Claes-Göran Granqvist

  • Information Theoretically Secure, Enhanced Johnson Noise Based Key Distribution over the Smart Grid with Switched Filters

    Elias Gonzalez;Laszlo B. Kish;Robert S. Balog;Prasad Enjeti

  • New Approaches for Improving Selectivity and Sensitivity of Resistive Gas Sensors: A Review

    J. Smulko;M. Trawka;R. Ionescu;F. E. Annanouch

Frequent Co-Authors

Claes-Göran Granqvist
Claes-Göran Granqvist Uppsala University
Robert Vajtai
Robert Vajtai Rice University
Gunnar A. Niklasson
Gunnar A. Niklasson Uppsala University
Derek Abbott
Derek Abbott University of Adelaide
Robert S. Balog
Robert S. Balog Texas A&M University
Eva Olsson
Eva Olsson Chalmers University of Technology
Lorenzo Pavesi
Lorenzo Pavesi University of Trento
Eduard Llobet
Eduard Llobet Rovira i Virgili University
Pulickel M. Ajayan
Pulickel M. Ajayan Rice University
Prasad Enjeti
Prasad Enjeti Texas A&M University

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