Ilkay Altintas
#16,827
Most Influential Person Now
Turkish-American data and computer scientist
Ilkay Altintas's AcademicInfluence.com Rankings
Ilkay Altintascomputer-science Degrees
Computer Science
#1714
World Rank
#1775
Historical Rank
Data Science
#95
World Rank
#97
Historical Rank
Database
#6008
World Rank
#6231
Historical Rank
Download Badge
Computer Science
Ilkay Altintas's Degrees
- PhD Computer Science University of Amsterdam
- Masters Computer Science University of Amsterdam
- Bachelors Computer Engineering Middle East Technical University
Similar Degrees You Can Earn
Why Is Ilkay Altintas Influential?
(Suggest an Edit or Addition)According to Wikipedia, Ilkay Altintas is a Turkish-American data and computer scientist, and researcher in the domain of supercomputing and high-performance computing applications. Since 2015, Altintas has served as chief data science officer of the San Diego Supercomputer Center , at the University of California, San Diego , where she has also served as founder and director of the Workflows for Data Science Center of Excellence since 2014, as well as founder and director of the WIFIRE lab. Altintas is also the co-initiator of the Kepler scientific workflow system, an open-source platform that endows research scientists with the ability to readily collaborate, share, and design scientific workflows.
Ilkay Altintas's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Scientific workflow management and the Kepler system (2006) (2015)
- Kepler: an extensible system for design and execution of scientific workflows (2004) (1014)
- Provenance Collection Support in the Kepler Scientific Workflow System (2006) (339)
- Community cyberinfrastructure for Advanced Microbial Ecology Research and Analysis: the CAMERA resource (2010) (339)
- Special Issue: The First Provenance Challenge (2008) (172)
- The future of scientific workflows (2018) (132)
- Kepler + Hadoop: a general architecture facilitating data-intensive applications in scientific workflow systems (2009) (127)
- Workflows and extensions to the Kepler scientific workflow system to support environmental sensor data access and analysis (2010) (120)
- The First Provenance Challenge (2008) (116)
- A Framework for the Design and Reuse of Grid Workflows (2004) (113)
- Scientific Process Automation and Workflow Management (2009) (102)
- From molecule to man: Decision support in individualized E-health (2006) (95)
- Ten simple rules for writing and sharing computational analyses in Jupyter Notebooks (2019) (86)
- Nimrod/K: Towards massively parallel dynamic Grid workflows (2008) (84)
- Big data provenance: Challenges, state of the art and opportunities (2015) (75)
- A Scientific Workflow Approach to Distributed Geospatial Data Processing using Web Services (2005) (73)
- Heterogeneous composition of models of computation (2009) (72)
- A Provenance-Based Fault Tolerance Mechanism for Scientific Workflows (2008) (66)
- Compiling abstract scientific workflows into Web service workflows (2003) (62)
- Workflow as a Service in the Cloud: Architecture and Scheduling Algorithms (2014) (58)
- Linking multiple workflow provenance traces for interoperable collaborative science (2010) (54)
- Composing Different Models of Computation in Kepler and Ptolemy II (2007) (48)
- Provenance for MapReduce-based data-intensive workflows (2011) (46)
- A modeling and execution environment for distributed scientific workflows (2003) (44)
- Big Data Applications Using Workflows for Data Parallel Computing (2014) (37)
- A Scalable Data Science Workflow Approach for Big Data Bayesian Network Learning (2014) (36)
- Introduction to scientific workflow management and the Kepler system (2006) (35)
- From computation models to models of provenance: the RWS approach (2008) (35)
- Towards an Integrated Cyberinfrastructure for Scalable Data-driven Monitoring, Dynamic Prediction and Resilience of Wildfires (2015) (34)
- Understanding Collaborative Studies through Interoperable Workflow Provenance (2010) (34)
- Early Cloud Experiences with the Kepler Scientific Workflow System (2012) (34)
- In situ data processing for extreme-scale computing (2011) (33)
- A Web service composition and deployment framework for scientific workflows (2004) (30)
- A Fault-Tolerance Architecture for Kepler-Based Distributed Scientific Workflows (2010) (29)
- Challenges and approaches for distributed workflow-driven analysis of large-scale biological data: vision paper (2012) (27)
- Wildfire Spread Prediction and Assimilation for FARSITE Using Ensemble Kalman Filtering (2016) (27)
- A Framework for Distributed Data-Parallel Execution in the Kepler Scientific Workflow System (2012) (26)
- Golden Trail: Retrieving the Data History that Matters from a Comprehensive Provenance Repository (2012) (23)
- A Kepler Workflow Tool for Reproducible AMBER GPU Molecular Dynamics. (2017) (23)
- Ten Simple Rules for Reproducible Research in Jupyter Notebooks (2018) (23)
- A High-Level Distributed Execution Framework for Scientific Workflows (2008) (22)
- A Three Tier Architecture for LiDAR Interpolation and Analysis (2006) (20)
- Firemap: A Dynamic Data-Driven Predictive Wildfire Modeling and Visualization Environment (2017) (20)
- Approaches to Distributed Execution of Scientific Workflows in Kepler (2013) (19)
- MAAMD: a workflow to standardize meta-analyses and comparison of affymetrix microarray data (2014) (19)
- The Computational Chemistry Prototyping Environment (2005) (19)
- Accelerating the scientific exploration process with scientific workflows (2006) (18)
- Towards Data-Driven Operational Wildfire Spread Modeling: A Report of the NSF-Funded WIFIRE Workshop (2015) (18)
- Data Assimilation of Wildfires with Fuel Adjustment Factors in farsite using Ensemble Kalman Filtering* (2017) (18)
- Kepler + CometCloud: Dynamic Scientific Workflow Execution on Federated Cloud Resources (2016) (18)
- Scientific Workflow Infrastructure for Computational Chemistry on the Grid (2006) (18)
- Left Ventricle Segmentation and Volume Estimation on Cardiac MRI using Deep Learning (2018) (18)
- Approaches for Exploring and Querying Scientific Workflow Provenance Graphs (2010) (15)
- CAMERA 2.0: A Data-centric Metagenomics Community Infrastructure Driven by Scientific Workflows (2010) (15)
- Detection of COVID-19 using multimodal data from a wearable device: results from the first TemPredict Study (2022) (15)
- Workflows Community Summit: Bringing the Scientific Workflows Community Together (2021) (14)
- Time to Leave the Trees: From Syntactic to Conceptual Querying of XML (2002) (13)
- A Physical and Virtual Compute Cluster Resource Load Balancing Approach to Data-Parallel Scientific Workflow Scheduling (2011) (13)
- A Community Roadmap for Scientific Workflows Research and Development (2021) (13)
- Enabling FAIR Research in Earth Science through Research Objects (2018) (13)
- Lifecycle of Scientific Workflows and their Provenance: A Usage Perspective (2008) (12)
- Automation of Network-Based Scientific Workflows (2007) (12)
- Accelerating Parameter Sweep Workflows by Utilizing Ad-hoc Network Computing Resources: An Ecological Example (2009) (12)
- A machine learning approach for modular workflow performance prediction (2017) (12)
- Flexible IO services in the Kepler grid workflow system (2005) (11)
- Distributed workflow-driven analysis of large-scale biological data using biokepler (2011) (11)
- Kepler WebView: A Lightweight, Portable Framework for Constructing Real-time Web Interfaces of Scientific Workflows (2016) (11)
- Integrating Data Grid and Web Services for E-Science Applications: A Case Study of Exploring Species Distributions (2006) (11)
- Theoretical enzyme design using the Kepler scientific workflows on the Grid (2010) (10)
- Workflows Community Summit: Advancing the State-of-the-art of Scientific Workflows Management Systems Research and Development (2021) (10)
- Monitoring data quality in Kepler (2010) (9)
- A Data Model for Analyzing User Collaborations in Workflow-Driven e-Science (2011) (9)
- Data provenance hybridization supporting extreme-scale scientific workflow applications (2016) (9)
- Workflow-Driven Distributed Machine Learning in CHASE-CI: A Cognitive Hardware and Software Ecosystem Community Infrastructure (2019) (9)
- An Unsupervised Deep Learning Approach for Satellite Image Analysis with Applications in Demographic Analysis (2017) (9)
- SDM center technologies for accelerating scientific discoveries (2007) (9)
- Metrics from Wearable Devices as Candidate Predictors of Antibody Response Following Vaccination against COVID-19: Data from the Second TemPredict Study (2022) (9)
- FIgLib & SmokeyNet: Dataset and Deep Learning Model for Real-Time Wildland Fire Smoke Detection (2021) (8)
- Progress towards Automated Kepler Scientific Workflows for Computer-aided Drug Discovery and Molecular Simulations (2014) (8)
- Cluster and Grid Infrastructure for Computational Chemistry and Biochemistry (2005) (8)
- Biomedical Big Data Training Collaborative (BBDTC): An effort to bridge the talent gap in biomedical science and research (2017) (7)
- Collaborative provenance for workflow-driven science and engineering (2011) (7)
- Modular Resource Centric Learning for Workflow Performance Prediction (2017) (7)
- Enhancing Smart Re-run of Kepler Scientific Workflows Based on Near Optimum Provenance Caching in Cloud (2014) (6)
- Natural Language Processing using Kepler Workflow System: First Steps (2016) (6)
- EPiK-a Workflow for Electron Tomography in Kepler* (2015) (6)
- Determining feature extractors for unsupervised learning on satellite images (2016) (6)
- PEnBayes: A Multi-Layered Ensemble Approach for Learning Bayesian Network Structure from Big Data (2019) (6)
- Facilitating e-Science Discovery Using Scientific Workflows on the Grid (2011) (6)
- Data through the Computational Lens (2017) (6)
- FlowGate: towards extensible and scalable web-based flow cytometry data analysis (2015) (6)
- Perspectives on automated composition of workflows in the life sciences (2021) (5)
- Enabling Structured Exploration of Workflow Performance Variability in Extreme-Scale Environments (2015) (5)
- Fault-Tolerance in Dataflow-Based Scientific Workflow Management (2010) (5)
- geoKepler Workflow Module for Computationally Scalable and Reproducible Geoprocessing and Modeling (2015) (4)
- A demonstration of modularity, reuse, reproducibility, portability and scalability for modeling and simulation of cardiac electrophysiology using Kepler Workflows (2019) (4)
- Applied CyberGIS in the Age of Complex Spatial Health Data (2016) (4)
- Land Cover Classification at the Wildland Urban Interface using High-Resolution Satellite Imagery and Deep Learning (2018) (4)
- Data through the Computational Lens, Preface for ICCS 2016 (2016) (4)
- Deep Learning for Enhancing Fault Tolerant Capabilities of Scientific Workflows (2018) (4)
- A scientific workflow solution to the archiving of digital media (2006) (4)
- Leveraging large sensor streams for robust cloud control (2016) (4)
- Biomedical Big Data Training Collaborative (BBDTC): An Effort to Bridge the Talent Gap in Biomedical Science and Research (2016) (4)
- Data Hub Architecture for Smart Cities (2017) (3)
- Building cyberinfrastructure for translational impact: The WIFIRE example (2021) (3)
- Toward a Methodology and Framework for Workflow-Driven Team Science (2019) (3)
- Recursive Updates of Wildfire Perimeters Using Barrier Points and Ensemble Kalman Filtering (2020) (3)
- Cardiac MRI Image Segmentation for Left Ventricle and Right Ventricle using Deep Learning (2019) (3)
- Scaling Deep Learning-Based Analysis of High-Resolution Satellite Imagery with Distributed Processing (2019) (3)
- A three tier architecture applied to LiDAR processing and monitoring (2006) (3)
- Integrated Machine Learning in the Kepler Scientific Workflow System (2016) (3)
- WIFIRE: A Scalable Data-Driven Monitoring, Dynamic Prediction and Resilience Cyberinfrastructure for Wildfires (2013) (3)
- Scalable Detection of Rural Schools in Africa Using Convolutional Neural Networks and Satellite Imagery (2018) (3)
- A scalable approach for location-specific detection of Santa Ana conditions (2016) (3)
- Deep Learning on Operational Facility Data Related to Large-Scale Distributed Area Scientific Workflows (2017) (2)
- Enabling AI Innovation via Data and Model Sharing: An Overview of the Nsf Convergence Accelerator Track D (2022) (2)
- Expanse: Computing without Boundaries: Architecture, Deployment, and Early Operations Experiences of a Supercomputer Designed for the Rapid Evolution in Science and Engineering (2021) (2)
- Understanding Collaborative Studies Through Interoperable Workflow (2010) (2)
- Analytics Pipeline for Left Ventricle Segmentation and Volume Estimation on Cardiac MRI Using Deep Learning (2018) (2)
- Extending the Data Model for Data-Centric Metagenomics Analysis Using Scientific Workflows in CAMERA (2010) (2)
- Improving Wildfire Simulations by Estimation of Wildfire Wind Conditions from Fire Perimeter Measurements (2021) (2)
- TemPredict: A Big Data Analytical Platform for Scalable Exploration and Monitoring of Personalized Multimodal Data for COVID-19 (2021) (2)
- Integration of Kepler with ROADNet: Visual Dataflow Design with Real-time Geophysical Data (2004) (2)
- Using Kepler for Tool Integration in Microarray Analysis Workflows (2014) (2)
- A Workflows Roadmap for the Geosciences (2012) (2)
- Geoinformatics: Scientific workflows for the geosciences: An emerging approach to building integrated data analysis systems (2011) (2)
- Seamless Provenance Representation and Use in Collaborative Science Scenarios (2010) (1)
- Understanding a Rapidly Expanding Refugee Camp Using Convolutional Neural Networks and Satellite Imagery (2019) (1)
- Sensor lifecycle management using scientific workflows (2012) (1)
- Thinking about Data Management Planning (2016) (1)
- Chapter 13 Scientific Process Automation and Workflow Management ∗ (2009) (1)
- Using Dynamic Data Driven Cyberinfrastructure for Next Generation Disaster Intelligence (2020) (1)
- Sharing and Archiving Data Science Course Projects to Support Pedagogy for Future Cohorts (2019) (1)
- How open data and interdisciplinary collaboration improve our understanding of space weather: A risk and resiliency perspective (2022) (1)
- INTEGRATING SEISMIC EVENTS FOCAL MECHANISMS WITH IMAGE SERVICES IN KEPLER (2005) (1)
- The Evolution of Bits and Bottlenecks in a Scientific Workflow Trying to Keep Up with Technology: Accelerating 4D Image Segmentation Applied to NASA Data (2019) (1)
- Estimation of wildfire wind conditions via perimeter and surface area optimization (2022) (1)
- Scientific Data Management: Essential Technology for Accelerating Scientific Discoveries (2007) (1)
- Towards a Dynamic Composability Approach for using Heterogeneous Systems in Remote Sensing (2022) (1)
- Modular performance prediction for scientific workflows using Machine Learning (2021) (1)
- NeuroKube: An Automated and Autoscaling Neuroimaging Reconstruction Framework using Cloud Native Computing and A.I. (2020) (1)
- Working with Workflows: Highlights from 5 years Building Scientific Workflows (2011) (1)
- Automated scalable detection of location-specific Santa Ana conditions from weather data using unsupervised learning (2017) (1)
- FireMap: A Web Tool for Dynamic Data-Driven Predictive Wildfire Modeling Powered by the WIFIRE Cyberinfrastructure (2016) (1)
- Thank You to Our 2021 Reviewers (2022) (0)
- Automation of Microscopy Image Analysis via Kepler Scientific Workflows and ImageJ (2012) (0)
- Scientific Data Management Integrated Software Infrastructure Center (SDM/ISIC): Scientific Process Automation (SPA), FINAL REPORT (2012) (0)
- Quantum Data Hub: A Collaborative Data and Analysis Platform for Quantum Material Science (2021) (0)
- A Science-Enabled Virtual Reality Demonstration to Increase Social Acceptance of Prescribed Burns (2022) (0)
- The Scientific Data Management Center: Available Technologies and Highlights (2011) (0)
- Emerging woman leader in technical computing: Dr. Ilkay Altintas (2018) (0)
- Poster : Data Hub Architecture for Smart Cities (2017) (0)
- Applications and requirements : What are the requirements of future applications ? What new capabilities are needed to support emerging applications ? (2006) (0)
- Towards Intelligent Management of Heterogeneous Memories with Deep Reinforcement Learning (2019) (0)
- Scientific Data Management (SDM) Center for Enabling Technologies. Final Report, 2007-2012 (2013) (0)
- WIFIRE Data Model and Catalog for Wildfire Data and Tools (2014) (0)
- Workflows Community Summit 2022: A Roadmap Revolution (2023) (0)
- A Tale of Two C’s: Convergence and Composability (2021) (0)
- Computing Research for the Climate Crisis (2021) (0)
- Scientific Workflow Tools (2010) (0)
- Machine Learning for Improved Post-fire Debris Flow Likelihood Prediction (2022) (0)
- Scientific Data Management Center Scientific Data Integration (2003) (0)
- Challenges and Opportunities for Composable AI-Integrated Applications at the Digital Continuum: Keynote (2020) (0)
- Scientific Workflows + Provenance = Better (Meta-)Data Management (2013) (0)
- Smart Connected Worker Edge Platform for Smart Manufacturing: Part 1: Architecture and Platform Design (2022) (0)
- Final Project Report for Integrated End‐to‐end Performance Prediction and Diagnosis for Extreme Scientific Workflows (IPPD) (2021) (0)
- Characterizing Wildfire Perimeter Polygons from QUIC-Fire (2022) (0)
- PAISE 2019 Keynote Speaker (2019) (0)
- Thank You to Our 2020 Reviewers (2021) (0)
- Author Correction: Detection of COVID-19 using multimodal data from a wearable device: results from the first TemPredict Study (2022) (0)
- Research Objects for Interworkability among Global Environmental and Geophysical Data (2017) (0)
- ExaWorks Workflows Community Summit (2021) (0)
- A Collection of White Papers from the BDEC2 Workshop in San Diego, CA (2019) (0)
- MAAMD: a workflow to standardize meta-analyses and comparison of affymetrix microarray data (2014) (0)
- A Tale of Two C's: Convergence and Composability (2021) (0)
- Thank you to our 2021 reviewers (2022) (0)
- Scalable Workflow-Driven Hydrologic Analysis in HydroFrame (2020) (0)
- Case Study on the Use of REST Architectural Principles for Scientific Analysis: CAMERA - Community Cyberinfrastructure for Advanced Microbial Ecology Research and Analysis (2011) (0)
- MAAMD: A Workflow to Standardize Meta-Analyses of Affymetrix Microarray Data (2012) (0)
- Creation a Geo Big Data Outreach and Training Collaboratory for Wildfire Community (2015) (0)
- CAMERA 2.0; Building a Cyberinfrastructure to Enable Microbial Ecology and Astrobiology Research (2010) (0)
- Workflow-driven programming paradigms for distributed analysis of biological big data (2013) (0)
- International Conference on Computational Science 2016, ICCS 2016, 6-8 June 2016, San Diego, California, USA (2016) (0)
- Workshop 16: SNACS Scalable Networks for Advanced Computing Systems (2020) (0)
- International Workshop on Knowledge Graphs: Open Knowledge Network (2022) (0)
- Multimodal Wildland Fire Smoke Detection (2022) (0)
- Thank You to Our 2022 Reviewers (2022) (0)
- Application of Deep Learning on Integrating Prediction, Provenance, and Optimization (2019) (0)
- Integrating plant physiology into simulation of fire behavior and effects. (2023) (0)
This paper list is powered by the following services:
Other Resources About Ilkay Altintas
What Schools Are Affiliated With Ilkay Altintas?
Ilkay Altintas is affiliated with the following schools:
