Mehran Sahami | Academic Influence

Mehran Sahami's AcademicInfluence.com Rankings

Mehran Sahami

Computer Science

#556

World Rank

#576

Historical Rank

Machine Learning

#60

World Rank

#60

Historical Rank

Artificial Intelligence

#102

World Rank

#105

Historical Rank

Database

#2820

World Rank

#2945

Historical Rank

computer-science Degrees

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Computer Science

Mehran Sahami's Degrees

PhD Computer Science Stanford University
Masters Computer Science Stanford University
Bachelors Computer Science Stanford University

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Why Is Mehran Sahami Influential?

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According to Wikipedia, Mehran Sahami is an Iranian-born American computer scientist, engineer, and professor. He is the James and Ellenor Chesebrough Professor in the School of Engineering, and Professor and Associate Chair for Education in the Computer Science department at Stanford University. He is also the Robert and Ruth Halperin University Fellow in Undergraduate Education.

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Mehran Sahami'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

Supervised and Unsupervised Discretization of Continuous Features (1995) (2219)
Toward Optimal Feature Selection (1996) (1819)
A Bayesian Approach to Filtering Junk E-Mail (1998) (1638)
Inductive learning algorithms and representations for text categorization (1998) (1429)
Hierarchically Classifying Documents Using Very Few Words (1997) (1113)
A web-based kernel function for measuring the similarity of short text snippets (2006) (834)
Deep Knowledge Tracing (2015) (675)
Text Mining: Classification, Clustering, and Applications (2009) (562)
Learning Limited Dependence Bayesian Classifiers (1996) (453)
Evaluating similarity measures: a large-scale study in the orkut social network (2005) (356)
Computer Science Curricula 2013 (2013) (355)
Error-Based and Entropy-Based Discretization of Continuous Features (1996) (327)
Programming Pluralism: Using Learning Analytics to Detect Patterns in the Learning of Computer Programming (2014) (213)
Reflections on Stanford's MOOCs (2013) (211)
Modeling how students learn to program (2012) (197)
Probe, count, and classify: categorizing hidden web databases (2001) (186)
Learning Program Embeddings to Propagate Feedback on Student Code (2015) (162)
QProber: A system for automatic classification of hidden-Web databases (2003) (145)
Autonomously Generating Hints by Inferring Problem Solving Policies (2015) (134)
Using Probabilistic Relational Models for Collaborative Filtering (1999) (132)
Using machine learning to improve information access (1998) (128)
Adaptive product normalization: using online learning for record linkage in comparison shopping (2005) (125)
SONIA: a service for organizing networked information autonomously (1998) (91)
Efficient face orientation discrimination (2004) (59)
Applying the Multiple Cause Mixture Model to Text Categorization (1996) (53)
The Happy Searcher: Challenges in Web Information Retrieval (2004) (43)
A large-scale quantitative study of women in computer science at Stanford University (2013) (41)
A Probabilistic Approach to Full-Text Document Clustering (1998) (38)
Learning Classification Rules Using Lattices (Extended Abstract) (1995) (37)
Learning Classification Rules Using Lattices (1995) (36)
ACM/IEEE-CS computer science curriculum 2013: reviewing the ironman report (2013) (36)
Retention in Computer Science Undergraduate Programs in the U.S.: Data Challenges and Promising Interventions (2018) (33)
Setting the stage for computing curricula 2013: computer science -- report from the ACM/IEEE-CS joint task force (2011) (33)
Expanding the frontiers of computer science: designing a curriculum to reflect a diverse field (2010) (30)
Computer science curriculum 2013: reviewing the strawman report from the ACM/IEEE-CS task force (2012) (28)
Scaling Introductory Courses Using Undergraduate Teaching Assistants (2017) (27)
Semi-supervised Clustering using Combinatorial MRFs (2006) (27)
TMOSS: Using Intermediate Assignment Work to Understand Excessive Collaboration in Large Classes (2018) (25)
Automatic Classification of Text Databases Through Query Probing (2000) (23)
Combinatorial Markov Random Fields (2006) (21)
Computer Science curricula 2013: getting involved and getting ready (2013) (19)
Teaching Computer Ethics: A Deeply Multidisciplinary Approach (2020) (19)
Real-Time Full-Text Clustering of Networked Documents (1997) (18)
Assignments that Blend Ethics and Technology (2020) (18)
A Web-based Kernel Function for Matching Short Text Snippets (2005) (16)
As CS Enrollments Grow, Are We Attracting Weaker Students? (2016) (15)
Proceedings of the first ACM conference on Learning @ scale conference (2014) (15)
The revolution will be televised: perspectives on massive open online education (2013) (14)
Query- vs. Crawling-based Classification of Searchable Web Databases (2002) (14)
System Error: Where Big Tech Went Wrong and How We Can Reboot (2022) (14)
Computing Curricula 2013: Computer Science - Update on the Strawman Report from the ACM/IEEE-CS Task Force (2013) (14)
Learning Non-Linearly Separable Boolean Functions With Linear Threshold Unit Trees and Madaline-Style Networks (1993) (12)
Mining the Web to Determine Similarity Between Words, Objects, and Communities (2006) (12)
ACM/IEEE-CS computer science curricula 2013: implementing the final report (2014) (10)
The hour of code is coming! (2013) (9)
QProber: A System for Automatic Classification of Hidden-Web Resources (2001) (8)
Computer science curricula 2013 released (2014) (7)
Generating neural networks through the induction of threshold logic unit trees (1995) (7)
Educational advances in artificial intelligence (2011) (7)
PERSIVAL demo: categorizing hidden-web resources (2001) (7)
CS2013: Computer Science Curricula 2013 (2015) (7)
Code in Place: Online Section Leading for Scalable Human-Centered Learning (2021) (6)
Lazy Acquisition of Place Knowledge (1997) (5)
Using AI to motivate greater participation in computer science : Papers from the AAAI Spring Symposium (2008) (5)
KDD-99 panel report: data mining into vertical solutions (2000) (4)
Google TV search: dual-wielding search and discovery in a large-scale product (2008) (3)
Special session: The CS2013 Computer Science curriculum guidelines project (2013) (3)
SimGrade: Using Code Similarity Measures for More Accurate Human Grading (2021) (3)
Computer science curricula 2013 (CS2013): AI and the intelligent systems knowledge area (2015) (3)
Five Slides About: Abstraction, Arrays, Uncomputability, Networks, Digital Portfolios, and the CS Principles Explore Performance Task (2018) (2)
Paving a path to more inclusive computing (2018) (2)
Experiences mapping and revising curricula with CS2013 (2014) (2)
Multivariate Probability (2017) (1)
A course on probability theory for computer scientists (2011) (1)
An Autonomous Mobile Robot Architecture Using Belief Networks and Neural Networks (2007) (1)
Expanding the frontiers of computer science education: invited talk (2011) (1)
Challenges and Approaches for Data Collection to Understand Student Retention: (Abstract Only) (2018) (1)
Computer science curricula for the coming decade (2014) (1)
Applications of Machine Learning to Information Access (1997) (1)
Wrestling with Retention in the CS Major: Report from the ACM Retention Committee (2019) (1)
Using AI to Motivate Greater Participation in Computer Science, Papers from the 2008 AAAI Spring Symposium, Technical Report SS-08-08, Stanford, California, USA, March 26-28, 2008 (2008) (1)
Statistical Modeling to Better Understand CS Students (2016) (0)
Systems and methods to search using written questions in a character set and / or language different from the target pages. (2004) (0)
Session details: Data mining (2006) (0)
Continuous Distributions (2018) (0)
Systems and methods for search request as the landing page written by using in a different character set and / or in a different language (2004) (0)
Session details: Computer curricula 2013: update (2012) (0)
AAAI-98 Workshops: Reports of the Workshops Held at the Fifteenth National Conference on Artificial Intelligence in Madison, Wisconsin (1999) (0)
Automatic Naming of Domain Specific Clusters for Efficient Searching (2018) (0)
QProber (2003) (0)
Panel: online learning platforms and data science (2014) (0)
Nctions S I[ntroduc&ion the Ltu Tree Algorit (1999) (0)
Special session: The CS2013 Computer Science curriculum guidelines project (2011) (0)
The challenges of tracking and understanding student retention in the CS major (2018) (0)
Teaching Responsible Computing in Context: Models, Practices, and Tools (2022) (0)
Nifty assignments (2009) (0)
Nifty assignments (2007) (0)
Session details: Panel (2011) (0)
Problem Set 1 Solutions (2003) (0)
Should the AP Computer Science A Exam Switch to Using Python? (2022) (0)
EAAI-10: The First Symposium on Educational Advances in Artificial Intelligence (2011) (0)
Reports of the AAAI 2008 Spring Symposia (2008) (0)
EduBits (2016) (0)
AAAI 2008 Spring Symposia Reports (2008) (0)
The big tent of computer science: curricula for the coming decade (2012) (0)
Title: Hierarchically Classifying Documents Using Very Few Words Authors: Hierarchically Classifying Documents Using Very Few Words (1998) (0)
Applications of Machine Learni g to Information Access (1997) (0)
Statistical modeling to better understand the dynamics of student populations in CS: keynote address (2016) (0)
Session details: Panel (2011) (0)
Text processing (2018) (0)
Organizing committee (2018) (0)
Web search: finding information in billions of pages (2004) (0)
Session details: Panel session (2014) (0)
Editorial Advisory Board (2012) (0)

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What Schools Are Affiliated With Mehran Sahami?

Mehran Sahami is affiliated with the following schools:

Stanford University