World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
45
Citations
10605
World Ranking
7099
National Ranking
3115

Research.com Recognitions

  • 2011 - ACM Senior Member

Overview

Daniel S. Katz is affiliated with the University of Illinois at Urbana-Champaign in the United States. Their research spans multiple fields related to computer science and decision sciences, with significant focus on scientific computing, data management, and software engineering.

The main fields of study for Daniel S. Katz include:

  • Computer Science
  • Decision Sciences

More specifically, their work covers the following subfields of study:

  • Information Systems and Management
  • Information Systems
  • Computer Networks and Communications
  • Management Science and Operations Research
  • Artificial Intelligence

Key research topics addressed by their publications include:

  • Scientific Computing and Data Management
  • Research Data Management Practices
  • Distributed and Parallel Computing Systems
  • Data Quality and Management
  • Advanced Data Storage Technologies
  • Software Engineering Research
  • Cloud Computing and Resource Management

Their recent publications encompass a range of contributions, for example:

  • "Introducing the FAIR Principles for research software," 2022, Scientific Data
  • "Taking a fresh look at FAIR for research software," 2021, Patterns
  • "FAIR for AI: An interdisciplinary and international community building perspective," 2023, Scientific Data
  • "Recognizing the value of software: a software citation guide," 2021, F1000Research
  • "Convergence of artificial intelligence and high performance computing on NSF-supported cyberinfrastructure," 2020, Journal Of Big Data

They have published extensively in venues such as:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Computing in Science & Engineering
  • Scientific Data
  • F1000Research

Frequent co-authors contributing to their research include:

  • Neil Chue Hong
  • Deborah Silver
  • Saurabh Bagchi
  • Cyril Onwubiko
  • Michelle Barker

Over the course of their career, Daniel S. Katz has been recognized as an ACM Senior Member since 2011.

Best Publications

  • Pegasus: A framework for mapping complex scientific workflows onto distributed systems

    Ewa Deelman;Gurmeet Singh;Mei-Hui Su;James Blythe

  • Validation and extension to three dimensions of the Berenger PML absorbing boundary condition for FD-TD meshes

    D.S. Katz;E.T. Thiele;A. Taflove

  • Swift: A language for distributed parallel scripting

    Michael Wilde;Mihael Hategan;Justin M. Wozniak;Ben Clifford

  • Parsl: Pervasive Parallel Programming in Python

    Yadu Babuji;Anna Woodard;Zhuozhao Li;Daniel S. Katz

  • A Component Architecture for High-Performance Scientific Computing

    Benjamin A. Allan;Robert Armstrong;David E. Bernholdt;Felipe Bertrand

  • A multi-disciplinary perspective on emergent and future innovations in peer review

    Jonathan P. Tennant;Jonathan M. Dugan;Daniel Graziotin;Damien C. Jacques

  • Montage: A grid enabled engine for delivering custom science-grade mosaics on demand

    G. Bruce Berriman;Ewa Deelman;John C. Good;Joseph C. Jacob

  • Software Citation Principles

    Arfon M. Smith;Daniel S. Katz;Kyle E. Niemeyer

  • Swift/T: Large-scale application composition via distributed-memory dataflow processing

    Justin M. Wozniak;Timothy G. Armstrong;Michael Wilde;Daniel S. Katz

  • Montage: a grid portal and software toolkit for science-grade astronomical image mosaicking

    Joseph C. Jacob;Daniel S. Katz;G. Bruce Berriman;John C. Good

  • A Roadmap for HEP Software and Computing R&D for the 2020s

    Johannes Albrecht;Antonio Augusto Alves;Guilherme Amadio;Giuseppe Andronico

  • Ten Simple Rules for Taking Advantage of Git and GitHub.

    Yasset Perez-Riverol;Laurent Gatto;Rui Wang;Timo Sachsenberg

  • Four simple recommendations to encourage best practices in research software

    Rafael C. Jiménez;Mateusz Kuzak;Monther Alhamdoosh;Michelle Barker

  • Workflow task clustering for best effort systems with Pegasus

    Gurmeet Singh;Mei-Hui Su;Karan Vahi;Ewa Deelman

  • The Journal of Open Source Software

    Arfon Smith;Lorena A. Barba;George Githinji;Melissa Gymrek

  • Crops In Silico: Generating Virtual Crops Using an Integrative and Multi-scale Modeling Platform

    Amy Marshall-Colon;Stephen P Long;Douglas K. Allen;Gabrielle Dawn Allen

  • Ultrawideband absorbing boundary condition for termination of waveguiding structures in FD-TD simulations

    C.E. Reuter;R.M. Joseph;E.T. Thiele;D.S. Katz

  • Exploring automatic, online failure recovery for scientific applications at extreme scales

    Marc Gamell;Daniel S. Katz;Hemanth Kolla;Jacqueline Chen

  • Montage: A Grid Enabled Image Mosaic Service for the National Virtual Observatory

    G. B. Berriman;J. C. Good;A. C. Laity;A. Bergou

  • Trends in Authorship in Anesthesiology Journals.

    Joanna Miller;Emuejevoke Chuba;Stacie Deiner;Samuel DeMaria

  • A roadmap for HEP software and computing R&D for the 2020s

    Johannes Albrecht;Antonio Augusto Alves;Guilherme Amadio;Giuseppe Andronico

  • Ten Simple Rules for Taking Advantage of Git and GitHub

    Yasset Perez-Riverol;Laurent Gatto;Rui Wang;Timo Sachsenberg

Frequent Co-Authors

Shantenu Jha
Shantenu Jha Rutgers, The State University of New Jersey
Michael Wilde
Michael Wilde Argonne National Laboratory
Ian Foster
Ian Foster University of Chicago
Ewa Deelman
Ewa Deelman University of Southern California
Kyle Chard
Kyle Chard University of Chicago
Omer F. Rana
Omer F. Rana Cardiff University
Carl Kesselman
Carl Kesselman University of Southern California
Manish Parashar
Manish Parashar University of Utah
Christopher R. Madan
Christopher R. Madan University of Nottingham
Edward Seidel
Edward Seidel University of Wyoming

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