World's Best Scientists 2026 revealed!
Perry L. Miller

Perry L. Miller

D-Index & Metrics

Computer Science

D-Index
43
Citations
7041
World Ranking
8039
National Ranking
3453

Overview

Perry L. Miller is affiliated with Yale University in the United States. Their research primarily spans the fields of Neuroscience and Engineering, with a focus on several subfields including Sensory Systems, Biomedical Engineering, and Cognitive Neuroscience.

Their work addresses topics related to Olfactory and Sensory Function Studies, Advanced Chemical Sensor Technologies, and Memory and Neural Mechanisms. These subjects represent the main themes that surface consistently across their publications and research activities.

Miller has contributed to scholarly literature with at least one recent paper titled "Summary Versus Synthesis: An In-Class Exercise," published in 2024 in the journal Nurse Educator.

  • Summary Versus Synthesis: An In-Class Exercise (2024, Nurse Educator)

Collaboration is a notable aspect of Miller's academic work, with frequent co-authors including:

  • Gordon M. Shepherd
  • Thomas M. Morse
  • Luis Marenco
  • Kei Cheung
  • Ted Carnevale

Miller's research has been disseminated primarily through the publication venue Nurse Educator, corresponding to their recent documented work.

  • Nurse Educator

The intersection of Neuroscience and Engineering in Miller's research is evident in the focus on chemical sensor technologies and neural mechanisms, indicating an interdisciplinary approach that integrates biological and technological perspectives.

Best Publications

  • Subcellular localization of the yeast proteome

    Anuj Kumar;Seema Agarwal;John A. Heyman;Sandra Matson

  • Organization of Heterogeneous Scientific Data Using the EAV/CR Representation

    Prakash M. Nadkarni;Luis N. Marenco;Roland Chen;Emmanouil Skoufos

  • The Neuroscience Information Framework: A Data and Knowledge Environment for Neuroscience

    Daniel Gardner;Huda Akil;Giorgio A. Ascoli;Douglas M. Bowden

  • Twenty years of ModelDB and beyond: building essential modeling tools for the future of neuroscience

    Robert A. Mcdougal;Thomas M. Morse;Ted Carnevale;Luis Marenco

  • The Human Brain Project : neuroinformatics tools for integrating, searching and modeling multidisciplinary neuroscience data

    Gordon M. Shepherd;Jason S. Mirsky;Matthew D. Healy;Michael S. Singer

  • X!!Tandem, an Improved Method for Running X!Tandem in Parallel on Collections of Commodity Computers

    Robert D. Bjornson;Nicholas J. Carriero;Christopher Colangelo;Mark Shifman

  • An integrated approach for finding overlooked genes in yeast

    Anuj Kumar;Paul M. Harrison;Kei Hoi Cheung;Ning Lan

  • Managing Attribute–Value Clinical Trials Data Using the ACT/DB Client–Server Database System

    Prakash M. Nadkarni;Cynthia Brandt;Sandra J. Frawley;Frederick G. Sayward

  • ALFRED: the ALelle FREquency Database. Update

    Haseena Rajeevan;Michael V. Osier;Kei-Hoi Cheung;H. Deng

  • A critiquing approach to expert computer advice--ATTENDING

    Perry L. Miller

  • Towards effective and rewarding data sharing.

    Daniel Gardner;Arthur W. Toga;Giorgio A. Ascoli;Jackson T. Beatty

  • Neuroinformatics: the integration of shared databases and tools towards integrative neuroscience.

    Shun-Ichi Amari;Francesco Beltrame;Jan G. Bjaalie;Turgay Dalkara

  • Olfactory Receptor Database: a metadata-driven automated population from sources of gene and protein sequences

    Chiquito J. Crasto;Luis N. Marenco;Perry L. Miller;Gordon M. Shepherd

  • Critiquing anesthetic management: the "ATTENDING" computer system.

    Perry L. Miller

  • ATTENDING: Critiquing a Physician's Management Plan

    Perry L. Miller

  • ALFRED: an allele frequency database for diverse populations and DNA polymorphisms

    Kei-Hoi Cheung;Michael V. Osier;Judith R. Kidd;Andrew J. Pakstis

  • Exploring performance issues for a clinical database organized using an entity-attribute-value representation.

    Roland Chen;Prakash M. Nadkarni;Luis N. Marenco;Forrest W. Levin

  • ALFRED: An allele frequency database for anthropology.

    Michael V. Osier;Kei-Hoi Cheung;Judith R. Kidd;Andrew J. Pakstis

  • TRIPLES: a database of gene function in Saccharomyces cerevisiae

    Anuj Kumar;Kei-Hoi Cheung;Petra Ross-MacDonald;Paulo S. R. Coelho

  • Federated Access to Heterogeneous Information Resources in the Neuroscience Information Framework (NIF)

    Amarnath Gupta;Amarnath Gupta;William J. Bug;Luis N. Marenco;Xufei Qian

Frequent Co-Authors

Prakash M. Nadkarni
Prakash M. Nadkarni Yale University
Kei-Hoi Cheung
Kei-Hoi Cheung Yale University
Gordon M. Shepherd
Gordon M. Shepherd Yale School of Medicine
Michael Snyder
Michael Snyder Stanford University
Kenneth K. Kidd
Kenneth K. Kidd Yale University
Mark Gerstein
Mark Gerstein Yale University
Dean F. Sittig
Dean F. Sittig The University of Texas Health Science Center at Houston
Andrew J. Pakstis
Andrew J. Pakstis Yale University
Hongyu Zhao
Hongyu Zhao Yale University
Paul Bertone
Paul Bertone University of Cambridge

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

As you consider studying Computer Science in the USA, it’s important to explore related online degree options and career pathways. The field of technology is vast, so many choose to specialize in areas that complement computer science skills, opening up broader career prospects.

For those interested in the intersection of technology and sustainability, an environmental engineer degree online offers a solid foundation in creating eco-friendly solutions using software and hardware skills. Likewise, pursuing an online mechanical engineering degree prepares you for roles designing and optimizing machines, robotics, and automation—fields closely linked with computer science.

If you have a passion for research or analytics, an online theoretical physics degree can help you develop problem-solving and computational skills highly valued in tech sectors.

Data analysis remains core to today’s tech careers. It’s worth exploring what is the cheapest data science course in the us? to gain specialized skills for roles in data science, machine learning, and AI.

Best Scientists Citing Perry L. Miller

Trending Scientists