Maura R. Grossman | Academic Influence

Maura R. Grossman's AcademicInfluence.com Rankings

Maura R. Grossman

Law

#2174

World Rank

#2718

Historical Rank

International Law

#1831

World Rank

#2165

Historical Rank

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Law

Maura R. Grossman's Degrees

Bachelors Psychology University of Pennsylvania

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Why Is Maura R. Grossman Influential?

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According to Wikipedia, Maura Robin Grossman is a research professor and former director of Women in Computer Science in the David R. Cheriton School of Computer Science at the University of Waterloo. She also is principal of Maura Grossman Law. Previously, she was Of Counsel at Wachtell, Lipton, Rosen & Katz, where she pioneered the use of technology-assisted review for electronic discovery.

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Maura R. Grossman'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

Evaluation of machine-learning protocols for technology-assisted review in electronic discovery (2014) (152)
Technology-Assisted Review in E-Discovery Can Be More Effective and More Efficient Than Exhaustive Manual Review (2011) (111)
Autonomy and Reliability of Continuous Active Learning for Technology-Assisted Review (2015) (110)
TREC 2016 Total Recall Track Overview (2016) (92)
Engineering Quality and Reliability in Technology-Assisted Review (2016) (88)
Scalability of Continuous Active Learning for Reliable High-Recall Text Classification (2016) (87)
Overview of the TREC 2010 Legal Track (2010) (63)
A System for Efficient High-Recall Retrieval (2018) (53)
Technology-Assisted Review in Empirical Medicine: Waterloo Participation in CLEF eHealth 2017 (2017) (52)
Preventing the transmission of COVID-19 and other coronaviruses in older adults aged 60 years and above living in long-term care: a rapid review (2020) (49)
Beyond Pooling (2018) (36)
Effective User Interaction for High-Recall Retrieval: Less is More (2018) (33)
Evaluating sentence-level relevance feedback for high-recall information retrieval (2018) (30)
Overview of the TREC 2011 Legal Track (2011) (25)
Multi-Faceted Recall of Continuous Active Learning for Technology-Assisted Review (2015) (25)
Automatic and Semi-Automatic Document Selection for Technology-Assisted Review (2017) (22)
The Sedona Conference Best Practices Commentary on the Use of Search and Information Retrieval Methods in E-Discovery cautions (2011) (19)
Waterloo (Cormack) Participation in the TREC 2015 Total Recall Track (2015) (19)
Navigating Imprecision in Relevance Assessments on the Road to Total Recall: Roger and Me (2017) (19)
Comments on “ The Implications of Rule 26 ( g ) on the Use of Technology-Assisted Review ” (2014) (17)
UWaterlooMDS at the TREC 2017 Common Core Track (2017) (14)
Inconsistent Assessment of Responsiveness in E-Discovery: Difference of Opinion or Human Error? (2011) (12)
MRG_UWaterloo and WaterlooCormack Participation in the TREC 2017 Common Core Track (2017) (12)
"When to Stop" Waterloo (Cormack) Participation in the TREC 2016 Total Recall Track (2016) (11)
Inconsistent Responsiveness Determination in Document Review: Difference of Opinion or Human Error? (2012) (11)
Impact of Surrogate Assessments on High-Recall Retrieval (2015) (8)
Overview of the TREC 2010 Legal Track Notebook Draft 2010 . 10 . 25 (2010) (7)
Impact of Feature Selection on Micro-Text Classification (2017) (6)
Continuous Active Learning for TAR (2016) (6)
Quantifying Bias and Variance of System Rankings (2019) (4)
TECHNOLOGY-ASSISTED REVIEW IN ELECTRONIC DISCOVERY (2017) (4)
Artificial Intelligence as Evidence (2021) (4)
Comparative-effectiveness research of COVID-19 treatment: a rapid scoping review (2022) (3)
Dynamic Sampling Meets Pooling (2019) (3)
Are Machine Learning Corpora "Fair Dealing" under Canadian Law? (2021) (2)
Participation in TREC 2020 COVID Track Using Continuous Active Learning (2020) (2)
MRG_UWaterloo Participation in the TREC 2018 Common Core Track (2018) (2)
Unbiased Low-Variance Estimators for Precision and Related Information Retrieval Effectiveness Measures (2019) (2)
The Quest for Total Recall (2018) (1)
The eDiscovery Medicine Show (2021) (0)
Bracing for Impact - The AI Challenge - AI For Social Good (2018) (0)
SOME THOUGHTS ON INCENTIVES , RULES , AND ETHICS CONCERNING THE USE OF SEARCH TECHNOLOGY IN E-DISCOVERY (2011) (0)
MRG_UWaterloo Participation in the TREC 2020 Precision Medicine Track (2020) (0)
Evaluating sentence-level relevance feedback for high-recall information retrieval (2019) (0)
The Absurdity of Death Estimates Based on the Vaccine Adverse Event Reporting System (2022) (0)
Artificial Intelligence and the Courts: Artificial Intelligence Trustworthiness, and Litigation (2022) (0)
Creating a User Model to Support User-specific Explanations of AI Systems (2022) (0)
Draft Submitted for publication in PERSPECTIVES (2015) (0)

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What Schools Are Affiliated With Maura R. Grossman?

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