World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
36
Citations
5107
World Ranking
11309
National Ranking
4664

Overview

Alan Sussman is affiliated with the University of Maryland, College Park in the United States. Their research primarily spans the field of Computer Science, with a focus on related subfields such as Computer Networks and Communications, Information Systems and Management, Hardware and Architecture, and Atmospheric Science.

Their work covers a range of main topics including Advanced Data Storage Technologies, Distributed and Parallel Computing Systems, Scientific Computing and Data Management, Parallel Computing and Optimization Techniques, Research Data Management Practices, Cloud Computing and Resource Management, and Meteorological Phenomena and Simulations.

Among their recent published papers are:

  • NSF/IEEE-TCPP Curriculum Initiative on Parallel and Distributed Computing Core Topics for Undergraduates (2024), published in HAL (Le Centre pour la Communication Scientifique Directe)
  • Workflows Community Summit 2022: A Roadmap Revolution (2023), published in arXiv (Cornell University)
  • A codesign framework for online data analysis and reduction (2021), published in Concurrency and Computation Practice and Experience
  • Performance Portability for Advanced Architectures (2021), published in Computing in Science & Engineering
  • VeloxDFS: Streaming Access to Distributed Datasets to Reduce Disk Seeks (2022), published in 2022 22nd IEEE International Symposium on Cluster, Cloud and Internet Computing (CCGrid)

The scientist has collaborated frequently with several coauthors including Manish Parashar, Thomas B. Rolinger, Christopher D. Krieger, Zhenlei Song, and Yuhang Xie.

Their publication venues include:

  • arXiv (Cornell University)
  • Concurrency and Computation Practice and Experience
  • HAL (Le Centre pour la Communication Scientifique Directe)
  • Computing in Science & Engineering
  • 2022 22nd IEEE International Symposium on Cluster, Cloud and Internet Computing (CCGrid)

Best Publications

  • Distributed processing of very large datasets with DataCutter

    Michael D. Beynon;Tahsin Kurc;Umit Catalyurek;Chialin Chang

  • Twenty Years of Digital Pathology: An Overview of the Road Travelled, What is on the Horizon, and the Emergence of Vendor-Neutral Archives.

    Liron Pantanowitz;Ashish Sharma;Alexis B Carter;Tahsin Kurc

  • DataCutter: Middleware for Filtering Very Large Scientific Datasets on Archival Storage Systems.

    Michael D. Beynon;Renato Ferreira;Tahsin M. Kurç;Alan Sussman

  • Digital dynamic telepathology--the Virtual Microscope.

    Asmara Afework;Michael D. Beynon;Fabian E. Bustamante;Soon Cho

  • The Virtual Microscope

    Renato Ferreira;Bongki Moon;Jim Humphries;Alan Sussman

  • Titan: a high-performance remote-sensing database

    Chialin Chang;Bongki Moon;Anurag Acharya;C. Shock

  • Programmable interconnection chip for computer system functional modules

    Hsiang-Tsung Kung;Feng-Hsiung Hsu;Alan L. Sussman;Teiji Nishizawa

  • Tuning the performance of I/O-intensive parallel applications

    Anurag Acharya;Mustafa Uysal;Robert Bennett;Assaf Mendelson

  • Jovian: a framework for optimizing parallel I/O

    R. Bennett;K. Bryant;A. Sussman;R. Das

  • The virtual microscope

    U. Catalyurek;M.D. Beynon;Chialin Chang;T. Kurc

  • An integrated runtime and compile-time approach for parallelizing structured and block structured applications

    G. Agrawal;A. Sussman;J. Saltz

  • Processing large-scale multi-dimensional data in parallel and distributed environments

    Michael Beynon;Chialin Chang;Umit Catalyurek;Tahsin Kurc

  • NSF/IEEE-TCPP curriculum initiative on parallel and distributed computing: core topics for undergraduates

    Sushil K. Prasad;Almadena Chtchelkanova;Sajal Das;Frank Dehne

  • Visualization of large data sets with the Active Data Repository

    T. Kurc;U. Catalyurek;Chialin Chang;A. Sussman

  • Data redistribution and remote method invocation in parallel component architectures

    F. Bertrand;R. Bramley;D.E. Bernholdt;J.A. Kohl

  • Design of a framework for data-intensive wide-area applications

    M.D. Beynon;T. Kurc;A. Sussman;J. Saltz

  • Interoperability of data parallel runtime libraries

    G. Edjlali;A. Sussman;J. Saltz

  • Compiler and runtime support for structured and block structured applications

    G. Agrawal;A. Sussman;J. Saltz

  • Optimizing execution of component-based applications using group instances

    M.D. Beynon;T. Kurc;A. Sussman;J. Saltz

  • Infrastructure for building parallel database systems for multi-dimensional data

    C. Chang;R. Ferreira;A. Sussman;J. Saltz

Frequent Co-Authors

Joel H. Saltz
Joel H. Saltz Stony Brook University
Ümit V. Çatalyürek
Ümit V. Çatalyürek Georgia Institute of Technology
Tahsin Kurc
Tahsin Kurc Stony Brook University
Gagan Agrawal
Gagan Agrawal Augusta University
Adam Porter
Adam Porter University of Maryland, College Park
Atif M. Memon
Atif M. Memon University of Maryland, College Park
Bobby Bhattacharjee
Bobby Bhattacharjee University of Maryland, College Park
Arnold L. Rosenberg
Arnold L. Rosenberg University of Massachusetts Amherst
Bongki Moon
Bongki Moon Seoul National University
Mary F. Wheeler
Mary F. Wheeler The University of Texas at Austin

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