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D-Index & Metrics

Computer Science

D-Index
63
Citations
47579
World Ranking
2666
National Ranking
1322

Overview

Rick Stevens is affiliated with Argonne National Laboratory in the United States. Their research spans multiple fields, primarily within the domains of Biochemistry, Genetics and Molecular Biology, and Computer Science. Within these broader categories, Stevens has focused on key subfields including Molecular Biology, Computational Theory and Mathematics, Artificial Intelligence, Materials Chemistry, and Electrical and Electronic Engineering.

Their work frequently addresses topics such as Computational Drug Discovery Methods, Machine Learning in Materials Science, Protein Structure and Dynamics, Genomics and Phylogenetic Studies, Bioinformatics and Genomic Networks, Gene Expression and Cancer Classification, and Genetics, Bioinformatics, and Biomedical Research.

Stevens has contributed significantly to several scientific publications across diverse venues. Some of the frequent publication outlets are:

  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Scientific Reports
  • Briefings in Bioinformatics
  • Journal of Clinical Oncology

Among their notable recent papers are:

  • Introducing the Bacterial and Viral Bioinformatics Resource Center (BV-BRC): a resource combining PATRIC, IRD and ViPR, published in 2022 in Nucleic Acids Research
  • Converting tabular data into images for deep learning with convolutional neural networks, published in 2021 in Scientific Reports
  • Exascale applications: skin in the game, published in 2020 in Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences
  • Deep learning methods for drug response prediction in cancer: Predominant and emerging trends, published in 2023 in Frontiers in Medicine
  • Intrinsically stretchable neuromorphic devices for on-body processing of health data with artificial intelligence, published in 2022 in Matter

Stevens has collaborated extensively with several co-authors in their research output. Frequent collaborators include Thomas Brettin, Austin Clyde, Fangfang Xia, Maulik Shukla, and Alexander Partin.

Best Publications

  • The RAST Server: Rapid Annotations using Subsystems Technology

    Ramy K. Aziz;Ramy K. Aziz;Daniela Bartels;Aaron A. Best;Matthew DeJongh

  • The SEED and the Rapid Annotation of microbial genomes using Subsystems Technology (RAST)

    Ross A. Overbeek;Robert Olson;Gordon D. Pusch;Gary J. Olsen

  • The Metagenomics RAST Server: A Public Resource for the Automatic Phylogenetic and Functional Analysis of Metagenomes

    Folker Meyer;Folker Meyer;Daniel Paarmann;Mark D'Souza;Robert Olson

  • RASTtk: A modular and extensible implementation of the RAST algorithm for building custom annotation pipelines and annotating batches of genomes

    Thomas Brettin;Thomas Brettin;James J. Davis;James J. Davis;Terry Disz;Robert A. Edwards;Robert A. Edwards

  • A communal catalogue reveals Earth’s multiscale microbial diversity

    Luke R. Thompson;Luke R. Thompson;Luke R. Thompson;Jon G. Sanders;Daniel McDonald;Amnon Amir

  • The Subsystems Approach to Genome Annotation and its Use in the Project to Annotate 1000 Genomes

    Ross Overbeek;Tadhg P. Begley;Ralph M. Butler;Jomuna Choudhuri

  • Improvements to PATRIC, the all-bacterial Bioinformatics Database and Analysis Resource Center

    Alice R. Wattam;James J. Davis;James J. Davis;Rida Assaf;Sébastien Boisvert

  • KBase: The United States Department of Energy Systems Biology Knowledgebase.

    Adam P. Arkin;Adam P. Arkin;Robert W. Cottingham;Christopher S. Henry;Nomi L. Harris

  • PATRIC, the bacterial bioinformatics database and analysis resource

    Alice R. Wattam;David Abraham;Oral Dalay;Terry Disz

  • High-throughput generation, optimization and analysis of genome-scale metabolic models

    Christopher S Henry;Matthew DeJongh;Aaron A Best;Paul M Frybarger

  • The International Exascale Software Project roadmap

    Jack Dongarra;Pete Beckman;Terry Moore;Patrick Aerts

  • The PATRIC Bioinformatics Resource Center: expanding data and analysis capabilities.

    James J. Davis;James J. Davis;Alice R. Wattam;Alice R. Wattam;Ramy K. Aziz;Thomas S. Brettin;Thomas S. Brettin

  • Portable Programs for Parallel Processors

    Ewing Lusk;James Boyle;Ralph Butler;Terrence Disz

  • The Aurora or-parallel Prolog system

    E. Lusk;R. Butler;T. Disz;R. Olson

  • Unlocking the potential of metagenomics through replicated experimental design

    Rob Knight;Janet Jansson;Janet Jansson;Dawn Field;Noah Fierer

  • Meeting Report: The Terabase Metagenomics Workshop and the Vision of an Earth Microbiome Project

    Jack A. Gilbert;Jack A. Gilbert;Folker Meyer;Dion Antonopoulos;Pavan Balaji

  • Overview of the I-Way: Wide-Area Visual Supercomputing

    Thomas A. Defanti;Ian Foster;Michael E. Papka;Rick Stevens

  • Using machine learning to predict antimicrobial MICs and associated genomic features for nontyphoidal Salmonella

    Marcus Nguyen;Marcus Nguyen;S. Wesley Long;S. Wesley Long;Patrick F. McDermott;Randall J. Olsen;Randall J. Olsen

  • Antimicrobial Resistance Prediction in PATRIC and RAST.

    James J. Davis;Sébastien Boisvert;Thomas Brettin;Thomas Brettin;Ronald W. Kenyon

  • Access grid: Immersive group-to-group collaborative visualization

    L. Childers;T. Disz;R. Olson;M. E. Papka

  • The GAAS metagenomic tool and its estimations of viral and microbial average genome size in four major biomes.

    Florent E. Angly;Dana Willner;Alejandra Prieto-Davó;Robert A. Edwards;Robert A. Edwards

Frequent Co-Authors

Thomas Brettin
Thomas Brettin Argonne National Laboratory
Folker Meyer
Folker Meyer Argonne National Laboratory
Ian Foster
Ian Foster University of Chicago
Ross Overbeek
Ross Overbeek Argonne National Laboratory
Jack A. Gilbert
Jack A. Gilbert University of California, San Diego
Gary J. Olsen
Gary J. Olsen University of Illinois at Urbana-Champaign
Janet K. Jansson
Janet K. Jansson Pacific Northwest National Laboratory
Rob Knight
Rob Knight University of California, San Diego
Ramy K. Aziz
Ramy K. Aziz Cairo University
Shantenu Jha
Shantenu Jha Rutgers, The State University of New Jersey

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