World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
80
Citations
27233
World Ranking
1076
National Ranking
578

Overview

John R. Smith is affiliated with IBM in the United States and has a research focus spanning several key areas in materials science and engineering. Their main fields of study include Materials Science and Engineering, with a significant emphasis on Materials Chemistry and Mechanical Engineering as subfields.

Their research covers topics such as:

  • Microstructure and mechanical properties
  • Machine Learning in Materials Science
  • Microstructure and Mechanical Properties of Steels
  • Solidification and crystal growth phenomena
  • Nanoparticles nucleation surface interactions
  • High Entropy Alloys Studies
  • Titanium Alloys Microstructure and Properties

John R. Smith has contributed numerous publications across respected venues, frequently publishing in:

  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • Acta Materialia
  • Microscopy and Microanalysis
  • npj Computational Materials

Recent notable papers authored or co-authored include:

  • Strain engineering of 2D semiconductors and graphene: from strain fields to band-structure tuning and photonic applications, 2020, Light Science & Applications
  • Simultaneously enhancing the ultimate strength and ductility of high-entropy alloys via short-range ordering, 2021, Nature Communications
  • Tracking the sliding of grain boundaries at the atomic scale, 2022, Science
  • Deep potentials for materials science, 2022, Materials Futures
  • A highly distorted ultraelastic chemically complex Elinvar alloy, 2022, Nature

Frequent co-authors collaborating with John R. Smith include Jian Han, Tongqi Wen, Xiaoqing Pan, Zhaoxuan Wu, and Caihao Qiu.

Best Publications

  • VisualSEEk: a fully automated content-based image query system

    John R. Smith;Shih-Fu Chang

  • Tools and techniques for color image retrieval

    John R. Smith;Shih-Fu Chang

  • Large-scale concept ontology for multimedia

    M. Naphade;J.R. Smith;J. Tesic;Shih-Fu Chang

  • Adapting multimedia Internet content for universal access

    R. Mohan;J.R. Smith;Chung-Sheng Li

  • Visually searching the Web for content

    J.R. Smith;Shih-Fu Chang

  • Deep learning ensembles for melanoma recognition in dermoscopy images

    N. C. F. Codella;Q.-B. Nguyen;S. Pankanti;D. A. Gutman

  • Transform features for texture classification and discrimination in large image databases

    J.R. Smith;Shih-Fu Chang

  • Methods and apparatus for adapting multimedia content for client devices

    Chung-Sheng Li;Rakesh Mohan;John R. Smith

  • Report of the Canadian Hypertension Society Consensus Conference: 1. Definitions, evaluation and classification of hypertensive disorders in pregnancy.

    Michael E. Helewa;Robert F. Burrows;John Smith;Keith Williams

  • Multimedia content description framework

    Lawrence David Bergman;Michelle Yoonk Yung Kim;Chung-Sheng Li;Rakesh Mohan

  • Learning Locally-Adaptive Decision Functions for Person Verification

    Zhen Li;Shiyu Chang;Feng Liang;Thomas S. Huang

  • Visual information retrieval from large distributed online repositories

    Shih-Fu Chang;John R. Smith;Mandis Beigi;Ana Benitez

  • Deep Learning, Sparse Coding, and SVM for Melanoma Recognition in Dermoscopy Images

    Noel Codella;Junjie Cai;Mani Abedini;Rahil Garnavi

  • Proceedings of the 20th ACM international conference on Multimedia

    Noboru Babaguchi;Kiyoharu Aizawa;John Smith;Shin'ichi Satoh

  • Automated binary texture feature sets for image retrieval

    J.R. Smith;Shih-Fu Chang

  • Integrated spatial and feature image query

    John R. Smith;Shih-Fu Chang

  • IBM Research TRECVID-2003 Video Retrieval System.

    Arnon Amir;Marco Berg;Shih-Fu Chang;Winston H. Hsu

  • IBM Research TRECVID-2005 Video Retrieval System

    Arnon Amir;Janne Argillander;Murray Campbell;Alexander Haubold

  • Single color extraction and image query

    J.R. Smith;Shih-Fu Chang

  • Optimal multimodal fusion for multimedia data analysis

    Yi Wu;Edward Y. Chang;Kevin Chen-Chuan Chang;John R. Smith

  • IBM Research TRECVID 2004 Video Retrieval System.

    Arnon Amir;Janne Argillander;Marco Berg;Shih-Fu Chang

Frequent Co-Authors

Shih-Fu Chang
Shih-Fu Chang Columbia University
Apostol Natsev
Apostol Natsev Google (United States)
Chung-Sheng Li
Chung-Sheng Li PricewaterhouseCoopers (United Kingdom)
Milind R. Naphade
Milind R. Naphade Nvidia (United States)
Ching-Yung Lin
Ching-Yung Lin National Chi Nan University
Belle L. Tseng
Belle L. Tseng Apple (United States)
Lexing Xie
Lexing Xie Australian National University
Rong Yan
Rong Yan Snapchat
Liangliang Cao
Liangliang Cao Google (United States)
Vittorio Castelli
Vittorio Castelli IBM (United States)

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