Mark Steyvers

Q: What Schools Are Affiliated With Mark Steyvers

Mark Steyvers is affiliated with the following schools: University of California, Berkeley, University of California, Irvine, Indiana University, Stanford University

Mark Steyvers's AcademicInfluence.com Rankings

Mark Steyvers

Psychology

#3186

World Rank

#3621

Historical Rank

Cognitive Psychology

#365

World Rank

#379

Historical Rank

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Psychology

Mark Steyvers's Degrees

Bachelors Psychology University of California, Berkeley

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Mark Steyvers'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

Finding scientific topics (2004) (5961)
The Author-Topic Model for Authors and Documents (2004) (1660)
The Large-Scale Structure of Semantic Networks: Statistical Analyses and a Model of Semantic Growth (2001) (1243)
Topics in semantic representation. (2007) (1072)
A model for recognition memory: REM—retrieving effectively from memory (1997) (940)
Probabilistic Topic Models (2007) (691)
Probabilistic author-topic models for information discovery (2004) (666)
Integrating Topics and Syntax (2004) (615)
Inferring causal networks from observations and interventions (2003) (473)
Learning author-topic models from text corpora (2010) (331)
Statistical topic models for multi-label document classification (2011) (305)
A Bayesian analysis of human decision-making on bandit problems (2009) (222)
Modeling General and Specific Aspects of Documents with a Probabilistic Topic Model (2006) (215)
A method for efficiently sampling from distributions with correlated dimensions. (2013) (210)
Word Association Spaces for Predicting Semantic Similarity Effects in Episodic Memory. (2005) (176)
Modeling individual differences using Dirichlet processes (2006) (170)
A Bayesian framework for simultaneously modeling neural and behavioral data (2013) (166)
Analyzing Entities and Topics in News Articles Using Statistical Topic Models (2006) (139)
Detecting and predicting changes (2009) (132)
Prediction and Semantic Association (2002) (132)
The Wisdom of the Crowd in Combinatorial Problems (2012) (119)
Google and the Mind (2007) (118)
A Bayesian Account of Reconstructive Memory (2009) (117)
The effect of normative context variability on recognition memory. (2003) (114)
A probabilistic approach to semantic representation (2019) (112)
Accumulative prediction error and the selection of time series models (2006) (109)
Scaling up the evaluation of psychotherapy: evaluating motivational interviewing fidelity via statistical text classification (2014) (104)
Probabilistic inference in human semantic memory (2006) (102)
Modeling Documents by Combining Semantic Concepts with Unsupervised Statistical Learning (2008) (98)
Feature frequency effects in recognition memory (2002) (88)
A model for evidence accumulation in the lexical decision task (2004) (87)
Psychological models of human and optimal performance in bandit problems (2011) (84)
Conceptual interrelatedness and caricatures (2003) (83)
Computational psychotherapy research: scaling up the evaluation of patient-provider interactions. (2015) (83)
Why more is better: Simultaneous modeling of EEG, fMRI, and behavioral data (2016) (78)
The dynamics of experimentally induced criterion shifts. (2005) (77)
Choosing a Strictly Proper Scoring Rule (2013) (75)
Morphing techniques for manipulating face images (1999) (70)
The Wisdom of Crowds in the Recollection of Order Information (2009) (69)
Integrating episodic memories and prior knowledge at multiple levels of abstraction (2009) (67)
Combining feature norms and text data with topic models. (2010) (63)
Topic models: a novel method for modeling couple and family text data. (2012) (62)
A Hierarchical Adaptive Approach to Optimal Experimental Design (2014) (61)
Bayesian Models of Cognition Revisited: Setting Optimality Aside and Letting Data Drive Psychological Theory (2017) (60)
Scoring Workers in Crowdsourcing: How Many Control Questions are Enough? (2013) (60)
Detecting authorship deception: a supervised machine learning approach using author writeprints (2012) (58)
Online Learning Mechanisms for Bayesian Models of Word Segmentation (2010) (57)
Interactions Between Perceptual and Conceptual Learning (2000) (55)
Forecast aggregation via recalibration (2014) (55)
Observing evidence accumulation during multi-alternative decisions (2009) (55)
The Large-Scale Structure of Semantic Networks (2005) (53)
Combining concept hierarchies and statistical topic models (2008) (49)
Inferring Expertise in Knowledge and Prediction Ranking Tasks (2012) (49)
Identifying Emotions, Intentions, and Attitudes in Text Using a Game with a Purpose (2010) (46)
A Cognitive Model for Aggregating People's Rankings (2014) (45)
Nonword Repetition in Lexical Decision: Support for two Opposing Processes (2004) (44)
Categorical perception of novel dimensions (1996) (42)
A tutorial on joint models of neural and behavioral measures of cognition (2018) (41)
Modeling Experimentally Induced Strategy Shifts (2007) (40)
Rational analysis as a link between human memory and information retrieval (2008) (37)
An optimal adjustment procedure to minimize experiment time in decisions with multiple alternatives (2012) (32)
Combining Background Knowledge and Learned Topics (2011) (31)
Context Effects in Multi-Alternative Decision Making: Empirical Data and a Bayesian Model (2012) (30)
Estimating COVID-19 Antibody Seroprevalence in Santa Clara County, California. A re-analysis of Bendavid et al. (2020) (30)
Prediction and Change Detection (2005) (29)
Modeling Human Performance in Restless Bandits with Particle Filters (2009) (29)
Integrating Episodic and Semantic Information in Memory for Natural Scenes (2009) (28)
A large-scale analysis of task switching practice effects across the lifespan (2019) (27)
Computational Statistics with Matlab (27)
Content Coding of Psychotherapy Transcripts Using Labeled Topic Models (2017) (25)
Scalable Parallel Topic Models (2006) (25)
Graph theoretic analyses of semantic networks: Small worlds in semantic networks (2005) (24)
Advancing methods for reliably assessing motivational interviewing fidelity using the motivational interviewing skills code. (2015) (24)
Joint Models of Neural and Behavioral Data (2019) (24)
Moving beyond qualitative evaluations of Bayesian models of cognition (2015) (23)
Predicting Similarity Ratings to Faces using Physical Descriptions (2000) (23)
Distant connectivity and multiple-step priming in large-scale semantic networks. (2019) (23)
A generative joint model for spike trains and saccades during perceptual decision-making (2016) (22)
The joint contribution of participation and performance to learning functions: Exploring the effects of age in large-scale data sets (2018) (22)
Can I Trust My Fairness Metric? Assessing Fairness with Unlabeled Data and Bayesian Inference (2020) (22)
Modeling the Covariance Structure of Complex Datasets Using Cognitive Models: An Application to Individual Differences and the Heritability of Cognitive Ability (2018) (21)
Text Modeling using Unsupervised Topic Models and Concept Hierarchies (2008) (19)
Reconstruction from Memory in Naturalistic Environments (2012) (19)
MODELING SEMANTIC AND ORTHOGRAPHIC SIMILARITY EFFECTS ON MEMORY FOR INDIVIDUAL WORDS (2000) (18)
Using Inverse Planning and Theory of Mind for Social Goal Inference (2011) (18)
The Wisdom of Crowds with Communication (2011) (17)
Multidimensional Scaling (2018) (16)
A Critical Review of Network-Based and Distributional Approaches to Semantic Memory Structure and Processes (2021) (16)
Combining Human Predictions with Model Probabilities via Confusion Matrices and Calibration (2021) (15)
Bayesian modeling of human–AI complementarity (2022) (15)
Measurement error and outcome distributions: Methodological issues in regression analyses of behavioral coding data. (2015) (14)
Inferring latent learning factors in large-scale cognitive training data (2020) (14)
A neglected dimension of good forecasting judgment: The questions we choose also matter (2017) (14)
Item response models of probability judgments: Application to a geopolitical forecasting tournament. (2015) (14)
A Psychological Model for Aggregating Judgments of Magnitude (2011) (13)
Relating Memory to Functional Performance in Normal Aging to Dementia Using Hierarchical Bayesian Cognitive Processing Models (2013) (13)
Making a Wiser Crowd: Benefits of Individual Metacognitive Control on Crowd Performance (2018) (13)
Decision speed induces context effects in choice. (2012) (12)
How ideal are we? Incorporating human limitations into Bayesian models of word segmentation (2010) (12)
The language of interpersonal interaction: An interdisciplinary approach to assessing and processing vocal and speech data (2018) (12)
The Wisdom of Crowds with Informative Priors (2010) (12)
Wisdom of the Crowds in Minimum Spanning Tree Problems (2010) (12)
Predicting Task and Subject Differences with Functional Connectivity and Blood-Oxygen-Level-Dependent Variability (2018) (12)
SAGE: A Hybrid Geopolitical Event Forecasting System (2019) (11)
Evaluating Probabilistic Forecasts with Bayesian Signal Detection Models (2014) (11)
A Wisdom of the Crowd Approach to Forecasting (2011) (11)
ESTIMATING COVID-19 ANTIBODY SEROPREVALENCE (2020) (10)
The Aggregative Contingent Estimation System: Selecting, Rewarding, and Training Experts in a Wisdom of Crowds Approach to Forecasting (2012) (10)
Learning concept graphs from text with stick-breaking priors (2010) (9)
"C'mon - You Should Read This": Automatic Identification of Tone from Language Text (2013) (9)
It's not the treasure, it's the hunt: Children are more explorative on an explore/exploit task than adults (2019) (9)
A Model-Based Approach to Measuring Expertise in Ranking Tasks (2011) (9)
Hierarchical Bayesian Analyses for Modeling BOLD Time Series Data (2018) (9)
Active Bayesian Assessment for Black-Box Classifiers (2020) (8)
Cognitive Modeling in Perception and Memory : A Festschrift for Richard M. Shiffrin (2015) (8)
Modeling Individual Differences with Dirichlet Processes (2005) (7)
Statistical topic models for multi-label document classification (2011) (7)
Small Worlds in Semantic Networks (7)
Route choice in individuals - semantic network navigation (2012) (6)
Large scale structure-function mappings of the human subcortex (2018) (6)
Collaborative memory in a serial combination procedure (2013) (4)
Semantic Memory Search and Retrieval in a Novel Cooperative Word Game: A Comparison of Associative and Distributional Semantic Models (2021) (4)
A Bayesian model of knowledge and metacognitive control: Applications to opt-in tasks (2017) (4)
Distant Concept Connectivity in Network-Based and Spatial Word Representations (2019) (3)
AI-Assisted Decision-making: a Cognitive Modeling Approach to Infer Latent Reliance Strategies (2022) (3)
Using Heuristic Models to Understand Human and Optimal Decision-Making on Bandit Problems (3)
Conjunction and Disjunction Fallacies in Prediction Markets (2009) (3)
Leveraging Response Consistency within Individuals to Improve Group Accuracy for Rank-Ordering Problems (2017) (3)
Should we trust our judgments about the proficiency of Motivational Interviewing counselors? A glimpse at the impact of low inter-rater reliability. (2015) (3)
Predicting Task and Subject Differences with Functional Connectivity and BOLD Variability (2018) (3)
Final Report: Exploration and Exploitation in Structured Environments (2012) (2)
The joint contribution of participation and performance to learning functions: Exploring the effects of age in large-scale data sets (2018) (2)
The Roles of Knowledge and Memory in Generating Top-10 Lists (2015) (2)
A Bayesian model for the time course of lexical processing. (2001) (2)
A Tutorial on Joint Modeling (2019) (2)
Advanced Matlab : Exploratory Data Analysis and Computational Statistics (2015) (2)
Inferring Subjective Prior Knowledge: An Integrative Bayesian Approach (2013) (2)
Monitoring the ebb and flow of attention: Does controlling the onset of stimuli during encoding enhance memory? (2019) (1)
Task Switching Gameplay Data from Lumosity (2019) (1)
Comparing models of learning and relearning in large-scale cognitive training data sets (2022) (1)
Going, going, gone: competitive decision-making in Dutch auctions (2020) (1)
An item response theory model of matching test performance (2020) (1)
Bayesian Evaluation of Black-Box Classiﬁers (2019) (1)
Rational Process Models (2009) (1)
A Picture is Worth 7.17 Words: Learning Categories from Examples and Definitions (2019) (1)
Subject Index to Volume 29 (1981) (1)
Experimental design modulates variance in BOLD activation: The variance design general linear model (2018) (1)
The Influence of Prior Knowledge on Recall for Height - eScholarship (2010) (1)
Special Issue : Probabilistic models of cognition Probabilistic inference in human semantic memory (2006) (0)
When Do Drivers Intervene In Autonomous Driving? (2023) (0)
Going, going, gone: competitive decision-making in Dutch auctions (2020) (0)
Teaching Categories Via Examples and Explanations (2022) (0)
The role of prior knowledge in human reconstructive memory (2008) (0)
An Empirical Investigation of Reliance on AI-Assistance in a Noisy-Image Classification Task (2022) (0)
Proceedings of the 34th annual Boston University Conference on Child Language Development (2010) (0)
Forecast aggregation via recalibration (2013) (0)
Enforcing Compositionality in Sentence Embedding Models (2018) (0)
Retrieving Effectively from Memory (REM) (2006) (0)
A generative joint model for spike trains and saccades during perceptual decision-making (2016) (0)
FREQUENCY EFFECT 1 Running head : FEATURE FREQUENCY EFFECT Feature Frequency Effects in Recognition Memory (2002) (0)
Applications (2019) (0)
Perceptions of AI engaging in human expression (2021) (0)
COLLECTIVE MEMORY PERFORMANCE Running head : COLLECTIVE MEMORY PERFORMANCE The Collective Memory Performance in a Recognition Memory Task (2014) (0)
Modeling Exploration and Exploitation in Structured Environments (2010) (0)
Making a Wiser Crowd: Benefits of Individual Metacognitive Control on Crowd Performance (2018) (0)
Classification and categorization in machine learning and psychology (2012) (0)
Large scale structure-function mappings of the human subcortex (2018) (0)
Combining Background Knowledge and Learned Topics Address for Correspondence (2009) (0)
Rumelhart Symposium: Honoring Richard Shiffrin - eScholarship (2002) (0)
An Aha! Walks into a Bar: Joke Completion as a Form of Insight Problem Solving (2020) (0)
Assessing Model Performance with Generalization Tests (2019) (0)
Relating memory to functional capacity from normal aging to dementia using hierarchical Bayesian cognitive processing models (2011) (0)
Building and benchmarking the motivated deception corpus: Improving the quality of deceptive text through gaming (2022) (0)
A Model of Concept Generalization and Feature Representation in Hierarchies (2011) (0)
Hierarchical Bayesian Analyses for Modeling BOLD Time Series Data (2018) (0)
Jointly modeling behavioral and EEG measures of proactive control in task switching. (2023) (0)
A Hierarchical Adaptive Approach to the Optimal Design of Experiments (2014) (0)
Erratum to: Feature frequency effects in recognition memory (2005) (0)
Lumosity cognitive training data (2019) (0)
Multidimensional Scaling Multidimensional Scaling , Similarity Judgments , Proximity data , Geometric Models , Knowledge Representation , data visualization , dimension reduction , multivariate analysis (2000) (0)
The role of prior knowledge in reconstructive memory (2008) (0)
Hybrid forecasting of geopolitical events † (2023) (0)
An Insight into Language: Investigating Lexical and Morphological Effects in Compound Remote Associate Problem Solving (2019) (0)
A Measure for Contextual Var iability and its Independent Effect on Recognition Memory (0)
Monitoring the ebb and flow of attention: Does controlling the onset of stimuli during encoding enhance memory? (2019) (0)
Chapter 15 Rational Analysis as a Link between Human Memory and Information Retrieval (2007) (0)
Word Association Spaces 1 Running Head : Word Association Spaces Semantic Spaces based on Free Association that Predict Memory Performance (2003) (0)
Reconstruction from Memory 1 Reconstruction from Memory in Naturalistic Environments (2011) (0)
Word Games as milestones for NLP research (2019) (0)
Moving beyond qualitative evaluations of Bayesian models of cognition (2014) (0)
An optimal adjustment procedure to minimize experiment time in decisions with multiple alternatives (2012) (0)
Human-AI collaboration (Conference Presentation) (2023) (0)
Motivation (2019) (0)
Higher-Level Cognition Modeling Prize: A Bayesian Account of Reconstructive Memory (2008) (0)
Rumelhart Symposium: Honoring Richard Shiffrin (2019) (0)
Leveraging metacognitive ability to improve crowd accuracy via impossible questions. (2022) (0)
An item response theorymodel ofmatching test performance (2020) (0)
Linking computational models of two core tasks of cognitive control. (2022) (0)

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What Schools Are Affiliated With Mark Steyvers?

Mark Steyvers is affiliated with the following schools:

Mark Steyvers's Academic­Influence.com Rankings