Victoria Stodden

Q: What Schools Are Affiliated With Victoria Stodden

Victoria Stodden is affiliated with the following schools: University of Ottawa, University of British Columbia, Stanford University, University of Illinois Urbana-Champaign

Victoria Stodden's AcademicInfluence.com Rankings

Victoria Stodden

Mathematics

#6837

World Rank

#9394

Historical Rank

Statistics

#910

World Rank

#1003

Historical Rank

mathematics Degrees

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Mathematics

Victoria Stodden's Degrees

PhD Statistics Stanford University
Masters Statistics Stanford University

Why Is Victoria Stodden Influential?

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According to Wikipedia, Victoria Stodden is a statistician, associate professor of information sciences, and affiliate professor of statistics at the University of Illinois at Urbana–Champaign. She earned a B.A. in economics from the University of Ottawa, an MS in economics from the University of British Columbia, and both her law degree and a Ph.D. in statistics from Stanford University.

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Victoria Stodden'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

When Does Non-Negative Matrix Factorization Give a Correct Decomposition into Parts? (2003) (917)
Reproducible Research in Computational Harmonic Analysis (2009) (274)
Enhancing reproducibility for computational methods (2016) (273)
Toward Reproducible Computational Research: An Empirical Analysis of Data and Code Policy Adoption by Journals (2013) (219)
Multiscale Representations for Manifold-Valued Data (2005) (206)
An empirical analysis of journal policy effectiveness for computational reproducibility (2018) (199)
Prepublication data sharing (2009) (190)
The Scientific Method in Practice: Reproducibility in the Computational Sciences (2010) (164)
Reproducible Research (2010) (163)
Best Practices for Computational Science: Software Infrastructure and Environments for Reproducible and Extensible Research (2014) (156)
The Legal Framework for Reproducible Scientific Research: Licensing and Copyright (2009) (147)
Reproducible research for scientific computing: Tools and strategies for changing the culture (2012) (136)
Reproducibility and replicability of rodent phenotyping in preclinical studies (2016) (119)
Computing Environments for Reproducibility: Capturing the "Whole Tale" (2018) (104)
Self-correction in science at work (2015) (104)
Breakdown Point of Model Selection When the Number of Variables Exceeds the Number of Observations (2006) (88)
Realizing the potential of data science (2018) (87)
Enabling Reproducible Research: Open Licensing for Scientific Innovation (2009) (84)
Standards and Operational Guidance for Ethics Review of Health-Related Research with Human Participants (2011) (82)
Four simple recommendations to encourage best practices in research software (2017) (78)
Setting the Default to Reproducible Reproducibility in Computational and Experimental Mathematics (2013) (73)
Open science: Policy implications for the evolving phenomenon of user-led scientific innovation (2010) (72)
Reproducible Research: Tools and Strategies for Scientific Computing (2012) (70)
Implementing Reproducible Research (2018) (68)
Reproducing Statistical Results (2015) (61)
Privacy, Big Data, and the Public Good: Frameworks For Engagement (2014) (54)
Trust your science? Open your data and code (2011) (52)
SIAM: “Setting the Default to Reproducible” in Computational Science Research (2013) (48)
Reproducibility of research: Issues and proposed remedies (2018) (43)
RunMyCode.org: A novel dissemination and collaboration platform for executing published computational results (2012) (43)
Same data, different conclusions: Radical dispersion in empirical results when independent analysts operationalize and test the same hypothesis (2021) (37)
Enabling reproducible research: Licensing for scientific innovation (2009) (35)
15 Years of Reproducible Research in Computational Harmonic Analysis (2008) (30)
ResearchCompendia.org: Cyberinfrastructure for Reproducibility and Collaboration in Computational Science (2015) (28)
Making massive computational experiments painless (2016) (27)
Understanding Reproducibility and Characteristics of Flaky Tests Through Test Reruns in Java Projects (2020) (26)
Resolving Irreproducibility in Empirical and Computational Research (2013) (24)
Facilitating Reproducibility in Scientific Computing: Principles and Practice (2015) (21)
Scientific Tests and Continuous Integration Strategies to Enhance Reproducibility in the Scientific Software Context (2019) (21)
Enabling the Verification of Computational Results: An Empirical Evaluation of Computational Reproducibility (2018) (21)
Rules for Growth: Promoting Innovation and Growth Through Legal Reform (2011) (19)
Domain-Specific Fixes for Flaky Tests with Wrong Assumptions on Underdetermined Specifications (2021) (18)
Standing Together for Reproducibility in Large-Scale Computing: Report on reproducibility@XSEDE (2014) (17)
Structuring supplemental materials in support of reproducibility (2017) (16)
Toward a Compatible Reproducibility Taxonomy for Computational and Computing Sciences. (2018) (16)
The data science life cycle (2020) (15)
Virtual Northern Analysis of the Human Genome (2007) (15)
Privacy, Big Data, and the Public Good: Statistical Framework (2014) (15)
Cyber Science and Engineering: A Report of the National Science Foundation Advisory Committee for Cyberinfrastructure Task Force on Grand Challenges (2010) (14)
Ambitious Data Science Can Be Painless (2019) (12)
Learning from reproducing computational results: introducing three principles and the Reproduction Package (2021) (12)
Privacy, Big Data, and the Public Good: Enabling Reproducibility in Big Data Research: Balancing Confidentiality and Scientific Transparency (2014) (11)
Implementing Computational Reproducibility in the Whole Tale Environment (2019) (11)
Opinion: set the default to "open" (2013) (10)
The reproducible research movement in statistics (2014) (10)
A global empirical evaluation of new communication technology use and democratic tendency (2009) (9)
Reproducible Research Concepts and Tools for Cancer Bioinformatics (2010) (9)
Trust but Verify: How to Leverage Policies, Workflows, and Infrastructure to Ensure Computational Reproducibility in Publication (2020) (8)
Data Sharing in Social Science Repositories: Facilitating Reproducible Computational Research (2010) (7)
Toward Enabling Reproducibility for Data-Intensive Research Using the Whole Tale Platform (2020) (6)
Application of BagIt-Serialized Research Object Bundles for Packaging and Re-Execution of Computational Analyses (2019) (6)
Initial Thoughts on Cybersecurity And Reproducibility (2019) (6)
Intellectual Property and Computational Science (2014) (6)
Capturing the "Whole Tale" of Computational Research: Reproducibility in Computing Environments (2016) (6)
What? Me Worry?: What to Do About Privacy, Big Data, and Statistical Research (2013) (5)
Highlights of the US National Academies Report on “Reproducibility and Replicability in Science” (2020) (5)
RunMyCode.org: A Research-Reproducibility Tool for Computational Sciences (2018) (5)
Software Patents as a Barrier to Scientific Transparency: An Unexpected Consequence of Bayh-Dole (2012) (4)
What Computational Scientists Need to Know about Intellectual Property Law: A Primer (2018) (4)
Open Access journals need to become first choice, in invasion ecology and beyond (2019) (4)
Innovation and Growth through Open Access to Scientific Research: Three Ideas for High-Impact Rule Changes (2011) (3)
Beyond Open Data: A Model for Linking Digital Artifacts to Enable Reproducibility of Scientific Claims (2020) (3)
A Brief History of the Reproducibility Movement (2012) (3)
AIM: AN ABSTRACTION FOR IMPROVING MACHINE LEARNING PREDICTION (2018) (3)
Theme Editor's Introduction to Reproducibility and Replicability in Science (2020) (3)
Assessing Reproducibility : An Astrophysical Example of Computational Uncertainty in the HPC Context (2018) (3)
Virtual Northern analysis of the human genome. (2007) (2)
Reproducibility in Computational Science (2012) (2)
The Credibility Crisis in Computational Science: A Call to Action (2011) (2)
Reproducibility in computational and data-enabled science (2018) (1)
Reproducibility in High Performance Computing (2015) (1)
Data-Intensive Science: Methods for Reproducibility and Dissemination (2012) (1)
Provisioning Reproducible Computational Science (2014) (1)
Building a Vision for Reproducibility in the Cyberinfrastructure Ecosystem: Leveraging Community Efforts (2020) (1)
Multiplicative Multiresolution Analysis for Lie-group Valued Data Indexed by a Euclidean Parameter (2001) (1)
Reproducible Research: A Digital Curation Agenda (2011) (1)
Re-use and Reproducibility: Opportunities and Challenges (2013) (1)
What is Reproducibility (2014) (1)
TOP Resources - Evidence and Practices (2016) (1)
Remarks presented before the National Academies Committee on the Impact of Copyright Policy on Innovation in the Digital Era (2010) (1)
The Credibility Crisis in Computational Science: An Information Issue (2012) (1)
Open access to research artifacts: Implementing the next generation data management plan (2019) (1)
Facilitating Scientific Discovery in the Digital Age (2011) (0)
Session 2: Open Data and Reproducibility (2019) (0)
Scientific Reproducibility: First Steps and Guiding Questions (2011) (0)
Establishing Scientific Facts (2011) (0)
Reproducible Results: Challenges for Computational Science and the Scientific Method (2011) (0)
Reproducible Research in Computational Science: Strategies for Innovation (2011) (0)
Journal Policy and Reproducible Computational Research (2012) (0)
The Challenge of Communicating Computational Research (2013) (0)
Replication of Results Using Code from Published Physics Research (2017) (0)
Framing Science Policy: Reproducible Research, Not Open Data (2011) (0)
Script Sharing Based on PSEs 3 . 1 PSEs O ↵ er Power and Simplicity (2016) (0)
2015 Open Access Week Keynote Address: Victoria Stodden (2015) (0)
Basics of Intellectual Property for Computational Scientists (2011) (0)
The Reproducible Research Movement: Crisis and Solutions (2012) (0)
Scientific Practice Today and the Scientific Method: Responding to the Credibility Crisis (2011) (0)
Transparency in Computational Science (2012) (0)
Copyright and MetaData in the World Heritage Digital Mathematical Library (2012) (0)
Practices and Guidelines (2013) (0)
What is Reproducible Research? The Practice of Science Today and the Scientific Method (2011) (0)
Scientists, Share Secrets or Lose Funding (2012) (0)
White Paper for Expert Panel Discussion on Data Policies: A Workshop of the National Science Board, March 27-29, 2011 (2011) (0)
How Technology is (Rapidly) Expanding the Scope of the Law in Statistics (2011) (0)
Intellectual Property and Innovation in Computational Science: Dissemination of Ideas and Methodology (2012) (0)
Framing Transparency in Research (2014) (0)
Reproducibility of Computational Results: Opening Code and Data (2010) (0)
Why Public Access to Data is So Important (and why getting the policy right is even more so) (2013) (0)
Digital Scholarship in Scientific Research: Open Questions in Reproducibility and Curation (2013) (0)
Integrity, Reproducibility, and the Changing Technological Environment for Research (2015) (0)
Opening Science: Intellecual Property and Computational Science (2014) (0)
Open Data, Open Methods, and the Promise of Large Scale Validation (2013) (0)
Policies for Scientific Integrity and Reproducibility: Data and Code Sharing (2011) (0)
Tools for Academic Research: Resolving the Credibility Crisis in Computational Science (2011) (0)
Facilitating Reproducibility: Open Data and Code in Economics (2012) (0)
Structuring supplemental materials in support of reproducibility (2017) (0)
Technology and the Scientific Method: The Credibility Crisis in Computational Science (2013) (0)
Building the Reproducible Computational Science Movement: Catalysing Action through Policy, Software Tools, and Ideas (2012) (0)
Reproducibility in Computational Science: Framing the Concept (2011) (0)
Transparency in Scientific Discovery: Innovation and Knowledge Dissemination (2011) (0)
Massive Data, the Digitization of Science, and Reproducibility of Results (2010) (0)
Intellectual Contributions to Digitized Science: Implementing the Scientific Method (2011) (0)
The Reproducible Computational Science Movement: Tools, Policy, and Results (2012) (0)
Open Challenges to Open Science (2011) (0)
CS355 Computer Ethics (2010) (0)
Comments on "Measuring Racial Profiling" (2011) (0)
Data Management and Federal Funding: What Researchers Need to Know (2011) (0)
Disseminating Numerically Reproducible Research (2012) (0)
Privacy, Big Data, and the Public Good: Dedication (2014) (0)
Querying Provenance Information: Basic Notions and an Example from Paleoclimate Reconstruction (2016) (0)
Reproducible Research in the Geosciences (2016) (0)
Research Reproducibility (2022) (0)
Testimony submitted to the House Committee on Science, Space and Technology for the March 5, 2013 hearing on Scientific Integrity and Transparency. (2013) (0)
Technology and the Scientific Method: Tools and Policies for Addressing the Credibility Crisis in Computational Science (2011) (0)
Funding Agency Policy and the Credibility Crisis in Computational Science (2011) (0)
Discussant: “Pornography and Divorce” (2012) (0)
The Credibility Crisis and Computational Science: Accountability and Public Health (2011) (0)
Fast l/sub 1/ minimization for genomewide analysis of mRNA lengths (2006) (0)
The Central Role of Geophysics in the Reproducible Research Movement (2012) (0)
Towards Reproducible Science: Policy and a Path Forward (2012) (0)
Data Management and Sharing Policies in the NSF and the NIH (2011) (0)

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Other Resources About Victoria Stodden

en.wikipedia.org

What Schools Are Affiliated With Victoria Stodden?

Victoria Stodden is affiliated with the following schools:

Victoria Stodden's Academic­Influence.com Rankings