World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
36
Citations
6107
World Ranking
11183
National Ranking
4633

Overview

Kyle Chard is affiliated with the University of Chicago in the United States. Their research primarily focuses on the field of Computer Science, with a notable emphasis on several subfields.

The main subfields of study for Kyle Chard include:

  • Computer Networks and Communications
  • Information Systems and Management
  • Artificial Intelligence
  • Information Systems
  • Hardware and Architecture

Their work spans multiple topics, particularly in advanced computational and data management areas. The key topics covered in Kyle Chard's research are:

  • Scientific Computing and Data Management
  • Distributed and Parallel Computing Systems
  • Advanced Data Storage Technologies
  • Research Data Management Practices
  • Cloud Computing and Resource Management
  • Parallel Computing and Optimization Techniques
  • Privacy-Preserving Technologies in Data

Kyle Chard has contributed to numerous publications, appearing frequently in several venues. The most common publication venues include:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Future Generation Computer Systems
  • IEEE Transactions on Parallel and Distributed Systems
  • Practice and Experience in Advanced Research Computing

Recent papers authored or co-authored by Kyle Chard demonstrate a range of topics within computational science and information extraction:

  • "High-Throughput Virtual Screening and Validation of a SARS-CoV-2 Main Protease Noncovalent Inhibitor," 2021, Journal of Chemical Information and Modeling
  • "Challenges and Advances in Information Extraction from Scientific Literature: a Review," 2021, JOM
  • "Linking scientific instruments and computation: Patterns, technologies, and experiences," 2022, Patterns
  • "FAIR principles for AI models with a practical application for accelerated high energy diffraction microscopy," 2022, Scientific Data
  • "Atlas of Transcription Factor Binding Sites from ENCODE DNase Hypersensitivity Data across 27 Tissue Types," 2020, Cell Reports

Collaboration is prominent in Kyle Chard's work. Frequent co-authors include:

  • Ian Foster
  • Ryan Chard
  • Yadu Babuji
  • Ben Blaiszik
  • J. Gregory Pauloski

Best Publications

  • Matminer: An open source toolkit for materials data mining

    Logan Ward;Logan Ward;Alexander Dunn;Alexander Dunn;Alireza Faghaninia;Nils E.R. Zimmermann

  • Parsl: Pervasive Parallel Programming in Python

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

  • The Materials Data Facility: Data Services to Advance Materials Science Research

    B. Blaiszik;K. Chard;J. Pruyne;R. Ananthakrishnan

  • Social Cloud Computing: A Vision for Socially Motivated Resource Sharing

    K. Chard;K. Bubendorfer;S. Caton;O. F. Rana

  • Social Cloud: Cloud Computing in Social Networks

    Kyle Chard;Simon Caton;Omer Rana;Kris Bubendorfer

  • Computing environments for reproducibility: Capturing the “Whole Tale”

    Adam Brinckman;Kyle Chard;Kyle Chard;Niall Gaffney;Mihael Hategan;Mihael Hategan

  • funcX: A Federated Function Serving Fabric for Science

    Ryan Chard;Yadu Babuji;Zhuozhao Li;Tyler Skluzacek

  • Predictive Big Data Analytics: A Study of Parkinson’s Disease Using Large, Complex, Heterogeneous, Incongruent, Multi-Source and Incomplete Observations

    Ivo D. Dinov;Ivo D. Dinov;Ben Heavner;Ming Tang;Gustavo Glusman

  • The LSST DESC DC2 Simulated Sky Survey

    Bela Abolfathi;David Alonso;Robert Armstrong

  • A Data Ecosystem to Support Machine Learning in Materials Science

    Ben Blaiszik;Logan Ward;Marcus Schwarting;Jonathon Gaff

  • Efficient and Secure Transfer, Synchronization, and Sharing of Big Data

    Kyle Chard;Steven Tuecke;Ian Foster

  • A Social Compute Cloud: Allocating and Sharing Infrastructure Resources via Social Networks

    Simon Caton;Christian Haas;Kyle Chard;Kris Bubendorfer

  • High-Throughput Virtual Screening and Validation of a SARS-CoV-2 Main Protease Noncovalent Inhibitor.

    Austin Clyde;Austin Clyde;Stephanie Galanie;Daniel W Kneller;Heng Ma

  • Cloud-based bioinformatics workflow platform for large-scale next-generation sequencing analyses

    Bo Liu;Ravi K Madduri;Borja Sotomayor;Kyle Chard

  • Globus auth: A research identity and access management platform

    Steven Tuecke;Rachana Ananthakrishnan;Kyle Chard;Mattias Lidman

  • Big biomedical data as the key resource for discovery science

    Arthur W. Toga;Ian T. Foster;Carl Kesselman;Ravi K. Madduri

  • Enabling real-time multi-messenger astrophysics discoveries with deep learning

    E. A. Huerta;Gabrielle Allen;Igor Andreoni;Javier Mauricio Antelis

  • Experiences building Globus Genomics: a next-generation sequencing analysis service using Galaxy, Globus, and Amazon Web Services

    Ravi K. Madduri;Dinanath Sulakhe;Lukasz Lacinski;Bo Liu

  • Globus platform‐as‐a‐service for collaborative science applications

    Rachana Ananthakrishnan;Kyle Chard;Ian T. Foster;Steven Tuecke

  • DLHub: Model and Data Serving for Science

    Ryan Chard;Zhuozhao Li;Kyle Chard;Logan Ward

  • Globus Data Publication as a Service: Lowering Barriers to Reproducible Science

    Kyle Chard;Jim Pruyne;Ben Blaiszik;Rachana Ananthakrishnan

  • The Globus Galaxies platform: delivering science gateways as a service

    Ravi K. Madduri;Kyle Chard;Ryan Chard;Lukasz Lacinski

  • Enabling real-time multi-messenger astrophysics discoveries with deep learning

    E. A. Huerta;Gabrielle Allen;Igor Andreoni;Javier M. Antelis

  • Globus Nexus

    Kyle Chard;Mattias Lidman;Brendan McCollam;Josh Bryan

  • High Throughput Virtual Screening and Validation of a SARS-CoV-2 Main Protease Non-Covalent Inhibitor

    Austin Clyde;Austin Clyde;Austin Clyde;Stephanie Galanie;Stephanie Galanie;Daniel W. Kneller;Daniel W. Kneller;Heng Ma;Heng Ma

Frequent Co-Authors

Ian Foster
Ian Foster University of Chicago
Steven Tuecke
Steven Tuecke University of Chicago
Daniel S. Katz
Daniel S. Katz University of Illinois at Urbana-Champaign
Shantenu Jha
Shantenu Jha Rutgers, The State University of New Jersey
Michael Wilde
Michael Wilde Argonne National Laboratory
Carl Kesselman
Carl Kesselman University of Southern California
Ian Taylor
Ian Taylor University of Notre Dame
Nathan D. Price
Nathan D. Price University of Illinois at Urbana-Champaign
Bertram Ludäscher
Bertram Ludäscher University of Illinois at Urbana-Champaign
Gwênlyn Glusman
Gwênlyn Glusman Institute for Systems Biology

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