World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
47
Citations
12581
World Ranking
6355
National Ranking
2837

Overview

Bertram Ludäscher is affiliated with the University of Illinois at Urbana-Champaign in the United States. Their research spans multiple fields of study and focuses extensively on computational and data management domains.

Their main fields of study include:

  • Computer Science
  • Decision Sciences

Within these fields, Ludäscher's subfields of expertise are:

  • Artificial Intelligence
  • Information Systems
  • Information Systems and Management
  • Management Science and Operations Research
  • Computer Networks and Communications

The central topics covered in Ludäscher's work include:

  • Scientific Computing and Data Management
  • Research Data Management Practices
  • Data Quality and Management
  • Semantic Web and Ontologies
  • Distributed and Parallel Computing Systems
  • Natural Language Processing Techniques
  • Topic Modeling

Recent papers authored or co-authored by Ludäscher are as follows:

  • "Workflows Community Summit: Bringing the Scientific Workflows Community Together," 2021, arXiv (Cornell University)
  • "Approximate summaries for why and why-not provenance," 2020, Proceedings of the VLDB Endowment
  • "Workflows Community Summit: Advancing the State-of-the-art of Scientific Workflows Management Systems Research and Development," 2021, arXiv (Cornell University)
  • "Names are not good enough: Reasoning over taxonomic change in the Andropogon complex," 2024, UNC Libraries
  • "Context, Composition, Automation, and Communication: The C 2 AC Roadmap for Modeling and Simulation," 2024, ACM Transactions on Modeling and Computer Simulation

Ludäscher frequently collaborates with several researchers, including:

  • Shawn Bowers
  • Lan Li
  • Nikolaus Nova Parulian
  • Yilin Xia
  • Timothy McPhillips

Publications by Ludäscher have appeared in various venues, with notable frequency in:

  • arXiv (Cornell University)
  • International Journal of Digital Curation
  • Proceedings of the Association for Information Science and Technology
  • Zenodo (CERN European Organization for Nuclear Research)
  • ACM Transactions on Modeling and Computer Simulation

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

  • XML-based information mediation with MIX

    Chaitan Baru;Amarnath Gupta;Bertram Ludäscher;Richard Marciano

  • Scientific workflow management and the Kepler system: Research Articles

    Bertram Ludäscher;Ilkay Altintas;Chad Berkley;Dan Higgins

  • Managing semistructured data with florid: a deductive object-oriented perspective

    Bertram Ludäscher;Rainer Himmeröder;Georg Lausen;Wolfgang May

  • Special Issue: The First Provenance Challenge

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

  • Provenance in Scientific Workflow Systems

    Susan B. Davidson;Sarah Cohen Boulakia;Anat Eyal;Bertram Ludäscher

  • A transducer-based XML query processor

    Bertram Ludäscher;Pratik Mukhopadhyay;Yannis Papakonstantinou

  • Scientific workflow design for mere mortals

    Timothy McPhillips;Shawn Bowers;Daniel Zinn;Bertram Ludäscher

  • An Ontology-Driven Framework for Data Transformation in Scientific Workflows

    Shawn Bowers;Bertram Ludäscher

  • Actor-oriented design of scientific workflows

    Shawn Bowers;Bertram Ludäscher

  • Scientific Workflows: Business as Usual?

    Bertram Ludäscher;Mathias Weske;Timothy Mcphillips;Shawn Bowers

  • Collection-Based Persistent Digital Archives - Part 1

    Reagan Moore;Chaitan Baru;Arcot Rajasekar;Bertram Ludascher

  • Computing environments for reproducibility: Capturing the “Whole Tale”

    Adam Brinckman;Kyle Chard;Kyle Chard;Niall Gaffney;Mihael Hategan;Mihael Hategan

  • A model for user-oriented data provenance in pipelined scientific workflows

    Shawn Bowers;Timothy McPhillips;Bertram Ludäscher;Shirley Cohen

  • Sole-Search: an integrated analysis program for peak detection and functional annotation using ChIP-seq data

    Kimberly R. Blahnik;Lei Dou;Henriette O'Geen;Timothy McPhillips

  • A cell-centered database for electron tomographic data.

    Maryann E Martone;Amarnath Gupta;Mona Wong;Xufei Qian

  • Model-based mediation with domain maps

    B. Ludascher;A. Gupta;M.E. Martone

  • A framework for the design and reuse of grid workflows

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

  • Techniques for efficiently querying scientific workflow provenance graphs

    Manish Kumar Anand;Shawn Bowers;Bertram Ludäscher

  • Scientific Data Analysis.

    Chandrika Kamath;Nikil Wale;George Karypis;Gaurav Pandey

Frequent Co-Authors

Shawn Bowers
Shawn Bowers Gonzaga University
Amarnath Gupta
Amarnath Gupta University of California, San Diego
Ilkay Altintas
Ilkay Altintas University of California, San Diego
Georg Lausen
Georg Lausen University of Freiburg
Paolo Missier
Paolo Missier Newcastle University
Kyle Chard
Kyle Chard University of Chicago
Ian Taylor
Ian Taylor University of Notre Dame
Carole Goble
Carole Goble University of Manchester
Norbert Podhorszki
Norbert Podhorszki Oak Ridge National Laboratory
Mladen A. Vouk
Mladen A. Vouk North Carolina State University

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

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

If you’re exploring ways to launch or advance your computer science career, there are several online study options that can help you reach your goals faster. For those looking to quickly boost their credentials, consider quick certifications that pay well. These can offer targeted training for high-demand tech roles and may lead to immediate job opportunities.

If you’re seeking a higher degree, many universities now offer some of the fastest masters degree online programs. These let you earn an advanced credential in as little as one year, often while continuing to work. Alternatively, you can target most useful masters degrees in computer science or closely related fields that are highly valued by employers.

Not ready to commit to a bachelor’s or master’s? Earning an online associate degree in computer science can provide solid foundational skills and open doors to entry-level tech jobs or further study. These flexible online pathways make it easier than ever to start or accelerate your computer science career in the USA.

Best Scientists Citing Bertram Ludäscher

Trending Scientists