Andrea Danyluk | Academic Influence

Andrea Danyluk's AcademicInfluence.com Rankings

Andrea Danyluk

Computer Science

#3653

World Rank

#3838

Historical Rank

#1348

USA Rank

Database

#8885

World Rank

#9338

Historical Rank

#1217

USA Rank

computer-science Degrees

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Computer Science

Andrea Danyluk's Degrees

PhD Computer Science Princeton University
Masters Computer Science Princeton University
Bachelors Computer Science Dartmouth College

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Why Is Andrea Danyluk Influential?

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According to Wikipedia, Andrea Pohoreckyj Danyluk was an American computer scientist and computer science educator. She was Mary A. and William Wirt Warren Professor of Computer Science at Williams College, and co-chair of the Committee on Widening Participation in Computing Research of the Computing Research Association.

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Andrea Danyluk'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

Computer Science Curricula 2013 (2013) (355)
A library to support a graphics-based object-first approach to CS 1 (2001) (99)
Small Disjuncts in Action: Learning to Diagnose Errors in the Local Loop of the Telephone Network (1993) (87)
The Use of Explanations for Similarity-based Learning (1987) (65)
Finding New Rules for Incomplete Theories: Explicit Biases for Induction with Contextual Information (1989) (50)
Predicting the Future : AI Approaches to Time-Series Problems (38)
Java: An Eventful Approach (2005) (35)
Event-driven programming is simple enough for CS1 (2001) (33)
Introducing concurrency in CS 1 (2010) (27)
Why structural recursion should be taught before arrays in CS 1 (2005) (26)
ACM Task Force on Data Science Education: Draft Report and Opportunity for Feedback (2019) (26)
Proceedings of the 26th Annual International Conference on Machine Learning, ICML 2009, Montreal, Quebec, Canada, June 14-18, 2009 (2009) (14)
Event-driven programming facilitates learning standard programming concepts (2004) (12)
Case Studies of Liberal Arts Computer Science Programs (2010) (12)
Computing Competencies for Undergraduate Data Science Programs: an ACM Task Force Final Report (2021) (11)
Event-driven Programming can be Simple Enough for CS 1 (2001) (10)
Using Robotics to Motivate Learning in an AI Course for Non-Majors (2004) (7)
Feature Selection vs Theory Reformulation: A Study of Genetic Refinement of Knowledge-based Neural Networks (2004) (7)
Telecommunications Network Diagnosis (2008) (6)
Problem Definition, Data Cleaning, and Evaluation: A Classifier Learning Case Study (1999) (5)
An MS in CS for non-CS Majors: Moving to Increase Diversity of Thought and Demographics in CS (2020) (4)
Deep Transfer as Structure Learning in Markov Logic Networks (2010) (4)
Feature Selection via Probabilistic Outputs (2012) (4)
Off-Topic Detection in Conversational Telephone Speech (2006) (4)
Events and objects first: an innovative approach to teaching JAVA in CS 1 (2001) (4)
Finding New Rules for Incomplete Theories: Induction with Explicit Biases in Varying Contexts (1989) (3)
Tuning Numeric Parameters of a Knowledge-Based System for Troubleshooting the Local Loop of the Telephone Network (1994) (3)
Artificial Intelligence Competencies for Data Science Undergraduate Curricula (2019) (3)
A Study of Complications in Real-world Machine Learning (1996) (2)
Experiences mapping and revising curricula with CS2013 (2014) (2)
An Update on the ACM Data Science Taskforce (2020) (1)
Prototype Support Vector Machines: Supervised Classification in Complex Datasets (2013) (1)
Extraction and use of contextual attributes for theory completion: an integration of explanation-based and similarity-based learning (1992) (1)
Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28 - July 1, 2001 (2001) (1)
Artificial Intelligence for Non-Majors at Multiple Levels (2008) (1)
A Survey of Machine Learning Systems Integrating Explanation-Based and Similarity-Based Methods (1989) (1)
Building Bridges for Data Science Education (2019) (1)
ACM/IEEE computer science 2013 exemplar-fest (2013) (1)
ACM data science task force calls for curricula feedback and example courses (2020) (0)
AAAI-98 Workshops: Reports of the Workshops Held at the Fifteenth National Conference on Artificial Intelligence in Madison, Wisconsin (1999) (0)
Making the most of undergraduate research (abstract only) (2013) (0)
Can we really do it?: Conducting Significant Computer Science Research in Primarily Undergraduate Institutions (PUIs) (Abstract Only) (2017) (0)
Session details: Paper - tough curricular challenges (2013) (0)
SIGCSE 2018 new educator workshop (2017) (0)
Machine Learning : proceedings of the Eighteenth International Conference (ICML 2001), Williams College, June 28- July 1, 2001 (2001) (0)
Special issue on the eighteenth international conference on machine learning (icml2001) (2003) (0)
Generating Cross-References for ia Explanation ” (1999) (0)
Industry: telecommunications network diagnosis (2002) (0)
Small or Liberal Arts Colleges Adapting to CS2013: Making It Work (Abstract Only) (2015) (0)
SIGCSE 2016 new educators workshop (2015) (0)
Predicting Expressive Bow Controls for Violin and Viola (2017) (0)

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Other Resources About Andrea Danyluk

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What Schools Are Affiliated With Andrea Danyluk?

Andrea Danyluk is affiliated with the following schools: