World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
30
Citations
6974
World Ranking
13870
National Ranking
5513

Overview

Ilkay Altintas is affiliated with the University of California, San Diego in the United States. Their research spans multiple fields with a focus on environmental science and computer science. They have contributed notably to areas involving global and planetary change, information systems, management, computer networks, and safety and risk assessment.

The main fields of study for Ilkay Altintas are:

  • Environmental Science
  • Computer Science

Within these fields, their work covers several important subfields:

  • Global and Planetary Change
  • Information Systems and Management
  • Information Systems
  • Computer Networks and Communications
  • Safety, Risk, Reliability and Quality

Their research topics focus on:

  • Fire effects on ecosystems
  • Scientific Computing and Data Management
  • Research Data Management Practices
  • Landslides and related hazards
  • Distributed and Parallel Computing Systems
  • Fire Detection and Safety Systems
  • Cloud Computing and Resource Management

Altintas has published extensively in several venues, frequently appearing in:

  • arXiv (Cornell University)
  • Earth and Space Science
  • Computing in Science & Engineering
  • Scientific Reports
  • Remote Sensing

Some recent papers by Ilkay Altintas include:

  • Detection of COVID-19 using multimodal data from a wearable device: results from the first TemPredict Study, 2022, Scientific Reports
  • FIgLib & SmokeyNet: Dataset and Deep Learning Model for Real-Time Wildland Fire Smoke Detection, 2022, Remote Sensing
  • Integrating plant physiology into simulation of fire behavior and effects, 2023, New Phytologist
  • Workflows Community Summit: Bringing the Scientific Workflows Community Together, 2021, arXiv (Cornell University)
  • Expanse: Computing without Boundaries, 2021, Practice and Experience in Advanced Research Computing

Frequent collaborators of Ilkay Altintas include:

  • Amarnath Gupta
  • Subhasis Dasgupta
  • Shweta Purawat
  • Ashley E. Mason
  • Benjamin L. Smarr

Best Publications

  • Scientific Workflow Management and the Kepler System

    Bertram Ludäscher;Bertram Ludäscher;Ilkay Altintas;Chad Berkley;Dan Higgins

  • Kepler: an extensible system for design and execution of scientific workflows

    I. Altintas;C. Berkley;E. Jaeger;M. Jones

  • Provenance collection support in the kepler scientific workflow system

    Ilkay Altintas;Oscar Barney;Efrat Jaeger-Frank

  • Community cyberinfrastructure for Advanced Microbial Ecology Research and Analysis: the CAMERA resource

    Shulei Sun;Jing Chen;Weizhong Li;Ilkay Altintas

  • Scientific workflow management and the Kepler system: Research Articles

    Bertram Ludäscher;Ilkay Altintas;Chad Berkley;Dan Higgins

  • Special Issue: The First Provenance Challenge

    Luc Moreau;Bertram Ludäscher;Ilkay Altintas;Roger S. Barga

  • The First Provenance Challenge

    Luc Moreau;Bertram Ludaescher;Ilkay Altintas;Roger S. Barga

  • The future of scientific workflows

    Ewa Deelman;Tom Peterka;Ilkay Altintas;Christopher D. Carothers

  • Kepler + Hadoop: a general architecture facilitating data-intensive applications in scientific workflow systems

    Jianwu Wang;Daniel Crawl;Ilkay Altintas

  • Ten simple rules for writing and sharing computational analyses in Jupyter Notebooks.

    Adam Rule;Amanda Birmingham;Cristal Zuniga;Ilkay Altintas

  • Workflows and extensions to the Kepler scientific workflow system to support environmental sensor data access and analysis

    Derik Barseghian;Ilkay Altintas;Matthew B. Jones;Daniel Crawl

  • A framework for the design and reuse of grid workflows

    Ilkay Altintas;Adam Birnbaum;Kim K. Baldridge;Wibke Sudholt

  • Scientific Process Automation and Workflow Management

    Bertram Ludäscher;Ilkay Altintas;Shawn Bowers;Julian Cummings

  • Big data provenance: Challenges, state of the art and opportunities

    Jianwu Wang;Daniel Crawl;Shweta Purawat;Mai Nguyen

  • From molecule to man: Decision support in individualized E-health

    P.M.A. Sloot;A. Tirado-Ramos;I. Altintas;M. Bubak

  • Nimrod/K: towards massively parallel dynamic grid workflows

    David Abramson;Colin Enticott;Ilkay Altinas

  • Heterogeneous composition of models of computation

    Antoon Goderis;Christopher Brooks;Ilkay Altintas;Edward A. Lee

  • A Provenance-Based Fault Tolerance Mechanism for Scientific Workflows

    Daniel Crawl;Ilkay Altintas

  • A scientific workflow approach to distributed geospatial data processing using web services

    Efrat Jaeger;Ilkay Altintas;Jianting Zhang;Bertram Ludäscher

  • Workflow as a Service in the Cloud: Architecture and Scheduling Algorithms.

    Jianwu Wang;Prakashan Korambath;Ilkay Altintas;Jim Davis

  • Compiling abstract scientific workflows into Web service workflows

    B. Ludascher;I. Altintas;A. Gupta

  • A modeling and execution environment for distributed scientific workflows

    I. Altintas;S. Bhagwanani;D. Buttler;S. Chandra

  • FIgLib & SmokeyNet: Dataset and Deep Learning Model for Real-Time Wildland Fire Smoke Detection

    Unknown

  • Linking multiple workflow provenance traces for interoperable collaborative science

    Paolo Missier;Bertram Ludascher;Shawn Bowers;Saumen Dey

  • Scientific Data Analysis.

    Chandrika Kamath;Nikil Wale;George Karypis;Gaurav Pandey

Frequent Co-Authors

Bertram Ludäscher
Bertram Ludäscher University of Illinois at Urbana-Champaign
Carole Goble
Carole Goble University of Manchester
Shawn Bowers
Shawn Bowers Gonzaga University
Mladen A. Vouk
Mladen A. Vouk North Carolina State University
Peter M. A. Sloot
Peter M. A. Sloot University of Amsterdam
Paolo Missier
Paolo Missier Newcastle University
Amarnath Gupta
Amarnath Gupta University of California, San Diego
Ewa Deelman
Ewa Deelman University of Southern California
Norbert Podhorszki
Norbert Podhorszki Oak Ridge National Laboratory
Mark H. Ellisman
Mark H. Ellisman University of California, San Diego

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