Brandeis Marshall | Academic Influence

Brandeis Marshall's AcademicInfluence.com Rankings

Brandeis Marshall

Computer Science

#3953

World Rank

#4155

Historical Rank

#1393

USA Rank

Data Science

#281

World Rank

#286

Historical Rank

#24

USA Rank

Algorithms

#495

World Rank

#501

Historical Rank

#52

USA Rank

Computational Linguistics

#3366

World Rank

#3413

Historical Rank

#138

USA Rank

computer-science Degrees

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Computer Science

Brandeis Marshall's Degrees

Masters Computer Science Stanford University

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Why Is Brandeis Marshall Influential?

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According to Wikipedia, Brandeis Marshall is an American data scientist, CEO of DataedX, and Full Professor of Computer Science at Spelman College, where she is the former Chair of the Department of Computer and Information Sciences. Starting in September 2019, Marshall is a faculty associate at Berkman Klein Center for Internet & Society at Harvard University. She has also worked to broaden participation in the field of data science to increase representation of underrepresented minorities, including her effort 'Black Women in Data'.

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Brandeis Marshall'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

Maximizing network security given a limited budget (2009) (9)
Targeted Curricular Innovations in Data Science (2019) (6)
Scientific workflow management systems and workflow patterns (2010) (6)
Using the Social Networking Graph for Image Organization (2010) (5)
A classification algorithm for finding the optimal rank aggregation method (2007) (5)
A rank algebra to support multimedia mining applications (2007) (5)
Data Science Intelligence: Mitigating Public Value Failures Using PAIR Principles (2019) (5)
Context seeking with social tags (2011) (4)
Eye tracking data understanding for product representation studies (2014) (4)
Data science experiences for undergraduates (2017) (4)
Modeling betweenness for question answering (2010) (3)
Taking the Tags with You: Digital Photograph Provenance (2010) (3)
Finding Betweenness in Dense Unweighted Graphs (2012) (2)
The suitability of lean, six sigma and lean six sigma for small, medium and large scale firms (2014) (2)
Applying Aggregation Concepts for Image Search (2008) (2)
The Impact of Live Tweeting on Social Movements (2018) (2)
Flowing, not Forcing: Finding and Maintaining Authenticity as Black Women in Academia (2021) (2)
EvergreenLP: Using a social network as a learning platform (2017) (2)
Waking up to Marginalization: Public Value Failures in Artificial Intelligence and Data Science (2021) (2)
Betweenness Centrality Approaches for Image Retrieval (2015) (1)
Social Exclusion in Data Science: A Critical Exploration of Disparate Representation in Higher Education (2022) (1)
Dark Web Patterns (2009) (1)
Cross-Disciplinary Faculty Development in Data Science Principles for Classroom Integration (2020) (1)
Students’ Understanding of Computational Problem-Solving Tasks (2011) (1)
Aggregating music recommendation Web APIs by artist (2010) (1)
Kernel Level Support for Workflow Patterns (2011) (1)
INSuRE: information security research and education (2014) (1)
Debugging the Gender Gap: (Re-)entry Initiatives in Emerging Technologies for Women (2020) (1)
Discovering Robustness Amongst CBIR Features (2012) (1)
Work in progress — Integration of the scientific workflow paradigm into high performance computing and large scale data management curricula (2010) (0)
Debugging the Diversity Tech's Gap through (Re-)entry Initiatives in Emerging Technologies for Women (2021) (0)
Music Artist Similarity Aggregation (2012) (0)
Determining result quality for vertical result merging (2010) (0)
As a CS educator, how do you think we can address inequity issues that exist in the field? (2020) (0)
Tag Relevancy for Similar Artists (2011) (0)
Flight Data Analyzer using Twitter (2012) (0)
National Academies' Roundtable on Data Science Postsecondary Education (2020) (0)
Data Modeling for Undergraduate Data Science: (Abstract Only) (2018) (0)

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