D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 73 Citations 22,079 537 World Ranking 673 National Ranking 412

Research.com Recognitions

Awards & Achievements

2009 - ACM Fellow For contributions to HPC, storage and parallel I/O.

2009 - Fellow of the American Association for the Advancement of Science (AAAS)

2005 - IEEE Fellow For contributions to high performance computing systems.

Overview

What is he best known for?

The fields of study he is best known for:

  • Operating system
  • Artificial intelligence
  • Programming language

His main research concerns Parallel computing, Artificial intelligence, Compiler, Data mining and Set. As part of his studies on Parallel computing, Alok Choudhary often connects relevant subjects like Fortran. His Artificial intelligence research incorporates elements of Machine learning and Identification.

His Compiler study deals with Embedded system intersecting with Reduction. His Data mining research is multidisciplinary, incorporating elements of Scalability and Data science. The various areas that he examines in his Cache study include Multiprocessing, Locality, Server and Loop nest optimization.

His most cited work include:

  • The International Exascale Software Project roadmap (580 citations)
  • Terascale direct numerical simulations of turbulent combustion using S3D (420 citations)
  • A two-phase algorithm for fast discovery of high utility itemsets (402 citations)

What are the main themes of his work throughout his whole career to date?

Alok Choudhary spends much of his time researching Parallel computing, Compiler, Data mining, Distributed computing and Artificial intelligence. His studies deal with areas such as Input/output, Scalability and Locality as well as Parallel computing. Alok Choudhary combines subjects such as Embedded system and Fortran with his study of Compiler.

A large part of his Data mining studies is devoted to Association rule learning. Alok Choudhary has researched Distributed computing in several fields, including Scheduling, File system and Server. His Artificial intelligence research includes themes of Machine learning and Pattern recognition.

He most often published in these fields:

  • Parallel computing (30.82%)
  • Compiler (13.07%)
  • Data mining (12.78%)

What were the highlights of his more recent work (between 2014-2021)?

  • Artificial intelligence (12.22%)
  • Deep learning (2.84%)
  • Algorithm (8.38%)

In recent papers he was focusing on the following fields of study:

Alok Choudhary focuses on Artificial intelligence, Deep learning, Algorithm, Machine learning and Parallel computing. His studies in Artificial intelligence integrate themes in fields like Scalability and Pattern recognition. His biological study deals with issues like Big data, which deal with fields such as Analytics.

His Algorithm research is multidisciplinary, incorporating perspectives in Mean squared error and Cluster analysis, Fuzzy clustering. The Machine learning study combines topics in areas such as Variety, Set, Domain knowledge and Identification. The concepts of his Parallel computing study are interwoven with issues in Compiler and File system.

Between 2014 and 2021, his most popular works were:

  • A general-purpose machine learning framework for predicting properties of inorganic materials (388 citations)
  • Perspective: Materials informatics and big data: Realization of the “fourth paradigm” of science in materials science (317 citations)
  • Deep Convolutional Neural Networks with transfer learning for computer vision-based data-driven pavement distress detection (254 citations)

In his most recent research, the most cited papers focused on:

  • Operating system
  • Artificial intelligence
  • Programming language

Alok Choudhary mainly focuses on Artificial intelligence, Deep learning, Machine learning, Convolutional neural network and Materials informatics. His Artificial intelligence study incorporates themes from Set, Data mining and Pattern recognition. His study in Deep learning is interdisciplinary in nature, drawing from both Transfer of learning, Data-driven, Random forest and Domain.

His Machine learning study combines topics from a wide range of disciplines, such as Alloy, Variety and Identification. His Artificial neural network research is multidisciplinary, relying on both Circulant matrix and Algorithm. His study in the field of Petascale computing is also linked to topics like Spark.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

The International Exascale Software Project roadmap

Jack Dongarra;Pete Beckman;Terry Moore;Patrick Aerts.
ieee international conference on high performance computing data and analytics (2011)

802 Citations

A two-phase algorithm for fast discovery of high utility itemsets

Ying Liu;Wei-keng Liao;Alok Choudhary.
knowledge discovery and data mining (2005)

571 Citations

Terascale direct numerical simulations of turbulent combustion using S3D

J. H. Chen;A. Choudhary;B. De Supinski;M. Devries.
Computational Science & Discovery (2009)

537 Citations

Firefly: illuminating future network-on-chip with nanophotonics

Yan Pan;Prabhat Kumar;John Kim;Gokhan Memik.
international symposium on computer architecture (2009)

497 Citations

A fast high utility itemsets mining algorithm

Ying Liu;Wei-keng Liao;Alok Choudhary.
Proceedings of the 1st international workshop on Utility-based data mining (2005)

494 Citations

A general-purpose machine learning framework for predicting properties of inorganic materials

Logan Ward;Ankit Agrawal;Alok Nidhi Choudhary;Christopher M Wolverton.
npj Computational Materials (2016)

448 Citations

Perspective: Materials informatics and big data: Realization of the “fourth paradigm” of science in materials science

Ankit Agrawal;Alok Choudhary.
APL Materials (2016)

423 Citations

Parallel netCDF: A High-Performance Scientific I/O Interface

Jianwei Li;Wei-keng Liao;Alok Choudhary;Robert Ross.
conference on high performance computing (supercomputing) (2003)

409 Citations

Improved parallel I/O via a two-phase run-time access strategy

Juan Miguel del Rosario;Rajesh Bordawekar;Alok Choudhary.
ACM Sigarch Computer Architecture News (1993)

380 Citations

Deep Convolutional Neural Networks with transfer learning for computer vision-based data-driven pavement distress detection

Kasthurirangan Gopalakrishnan;Siddhartha K. Khaitan;Alok Choudhary;Ankit Agrawal.
Construction and Building Materials (2017)

365 Citations

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

Contact us

Best Scientists Citing Alok Choudhary

Tzung-Pei Hong

Tzung-Pei Hong

National University of Kaohsiung

Publications: 115

Mahmut Kandemir

Mahmut Kandemir

Pennsylvania State University

Publications: 110

Jerry Chun-Wei Lin

Jerry Chun-Wei Lin

Western Norway University of Applied Sciences

Publications: 103

Philippe Fournier-Viger

Philippe Fournier-Viger

Harbin Institute of Technology

Publications: 91

Jacqueline H. Chen

Jacqueline H. Chen

Sandia National Laboratories

Publications: 83

Robert Ross

Robert Ross

Argonne National Laboratory

Publications: 69

Scott Klasky

Scott Klasky

Oak Ridge National Laboratory

Publications: 62

Vincent S. Tseng

Vincent S. Tseng

National Yang Ming Chiao Tung University

Publications: 58

Nilanjan Chakraborty

Nilanjan Chakraborty

Newcastle University

Publications: 52

Joel H. Saltz

Joel H. Saltz

Stony Brook University

Publications: 52

Rajeev Thakur

Rajeev Thakur

Argonne National Laboratory

Publications: 48

Ian Foster

Ian Foster

University of Chicago

Publications: 44

Franck Cappello

Franck Cappello

Argonne National Laboratory

Publications: 41

Jack Dongarra

Jack Dongarra

University of Tennessee at Knoxville

Publications: 40

Evatt R. Hawkes

Evatt R. Hawkes

UNSW Sydney

Publications: 39

Xiao Qin

Xiao Qin

Auburn University

Publications: 38

Something went wrong. Please try again later.