Kathleen Gates
#126,045
Most Influential Person Now
American neuroscientist
Kathleen Gates's AcademicInfluence.com Rankings
Kathleen Gatesbiology Degrees
Biology
#14475
World Rank
#18235
Historical Rank
Neuroscience
#2644
World Rank
#2714
Historical Rank
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Biology
Kathleen Gates's Degrees
- Masters Neurobiology Stanford University
Why Is Kathleen Gates Influential?
(Suggest an Edit or Addition)According to Wikipedia, Kathleen Marie "Katie" Gates is an American neuroscientist, quantitative psychologist, and faculty member in the L. L. Thurstone Psychometric Laboratory at the University of North Carolina at Chapel Hill. She is known for her contributions to network analysis, time series analysis, and structural equation modeling toward the development and dissemination of methods for quantifying intra-individual change and person-specific processes as they unfold across time.
Kathleen Gates's Published Works
Published Works
- Group search algorithm recovers effective connectivity maps for individuals in homogeneous and heterogeneous samples (2012) (304)
- Automatic search for fMRI connectivity mapping: An alternative to Granger causality testing using formal equivalences among SEM path modeling, VAR, and unified SEM (2010) (143)
- Extended unified SEM approach for modeling event-related fMRI data (2011) (121)
- Neural changes underlying successful second language word learning: An fMRI study (2015) (120)
- Organizing Heterogeneous Samples Using Community Detection of GIMME-Derived Resting State Functional Networks (2014) (95)
- Parsing Heterogeneity in the Brain Connectivity of Depressed and Healthy Adults During Positive Mood (2017) (77)
- Network Mapping with GIMME (2017) (77)
- Estimating time-varying RSA to examine psychophysiological linkage of marital dyads. (2015) (75)
- Unsupervised Classification During Time-Series Model Building (2017) (74)
- Uncovering General, Shared, and Unique Temporal Patterns in Ambulatory Assessment Data (2019) (73)
- Examining working memory task acquisition in a disrupted neural network. (2011) (73)
- Promoting physical activity among cancer survivors: Meta-analysis and meta-CART analysis of randomized controlled trials. (2019) (71)
- Data-Driven Subgroups in Depression Derived from Directed Functional Connectivity Paths at Rest (2017) (70)
- Focusing Personality Assessment on the Person: Modeling General, Shared, and Person Specific Processes in Personality and Psychopathology (2019) (59)
- A Monte Carlo Evaluation of Weighted Community Detection Algorithms (2016) (58)
- When couples’ hearts beat together: Synchrony in heart rate variability during conflict predicts heightened inflammation throughout the day (2018) (43)
- Inferring functional connectivity in MRI using Bayesian network structure learning with a modified PC algorithm (2013) (42)
- Methods for Quantifying Patterns of Dynamic Interactions in Dyads (2016) (42)
- Networks involved in olfaction and their dynamics using independent component analysis and unified structural equation modeling (2014) (41)
- Examining the Dynamic Structure of Daily Internalizing and Externalizing Behavior at Multiple Levels of Analysis (2015) (39)
- The first day is always the hardest: Functional connectivity during cue exposure and the ability to resist smoking in the initial hours of a quit attempt (2017) (39)
- Automated Selection of Robust Individual-Level Structural Equation Models for Time Series Data (2017) (35)
- Infants' Transitions out of a Fussing/Crying State Are Modifiable and Are Related to Weight Status. (2013) (34)
- Changes in alcohol-related brain networks across the first year of college: a prospective pilot study using fMRI effective connectivity mapping. (2013) (34)
- Detecting Clusters/Communities in Social Networks (2018) (32)
- Modeling temporal self-regulatory processing in a higher education biology course (2019) (30)
- Age and Gender Effects on Intrinsic Connectivity in Autism Using Functional Integration and Segregation. (2017) (28)
- Greater BOLD activity but more efficient connectivity is associated with better cognitive performance within a sample of nicotine‐deprived smokers (2014) (26)
- The language network in autism: Atypical functional connectivity with default mode and visual regions (2019) (26)
- Latent variable GIMME using model implied instrumental variables (MIIVs). (2020) (22)
- State space modeling of time-varying contemporaneous and lagged relations in connectivity maps (2016) (22)
- Causal search procedures for fMRI: review and suggestions (2017) (20)
- BRAIN Initiative: Cutting-Edge Tools and Resources for the Community (2019) (20)
- Examining network dynamics after traumatic brain injury using the extended unified SEM approach (2012) (17)
- Comparing directed functional connectivity between groups with confirmatory subgrouping GIMME (2019) (17)
- Personalized models of psychopathology as contextualized dynamic processes: An example from individuals with borderline personality disorder. (2018) (16)
- Robustness Conditions for MIIV-2SLS When the Latent Variable or Measurement Model is Structurally Misspecified (2018) (16)
- Exploratory Factor Analysis (EFA) Programs in R (2019) (15)
- Parsing heterogeneity in autism spectrum disorder and attention-deficit/hyperactivity disorder with individual connectome mapping (2018) (14)
- A Limited Information Estimator for Dynamic Factor Models (2019) (12)
- Measuring Cognitive Flexibility with the Flexible Item Selection Task: From fMRI Adaptation to Individual Connectome Mapping (2020) (11)
- Deep learning: A primer for psychologists. (2021) (11)
- Assessing the robustness of cluster solutions obtained from sparse count matrices. (2019) (10)
- Model-based network discovery of developmental and performance-related differences during risky decision-making (2019) (7)
- Reducing exposure to ultraviolet radiation from the sun and indoor tanning: A meta-analysis. (2020) (7)
- Detecting Task-Dependent Functional Connectivity in Group Iterative Multiple Model Estimation with Person-Specific Hemodynamic Response Functions (2021) (6)
- Toward empirical process-based case conceptualization: An idionomic network examination of the process-based assessment tool (2022) (5)
- Path and Directionality Discovery in Individual Dynamic Models: A Regularized Unified Structural Equation Modeling Approach for Hybrid Vector Autoregression (2020) (5)
- Specifying exogeneity and bilinear effects in data-driven model searches (2020) (5)
- Unsupervised classification reveals consistency and degeneracy in neural network patterns of emotion (2022) (4)
- Two sample tests for high-dimensional autocovariances (2021) (4)
- The influence of autoregressive relation strength and search strategy on directionality recovery in group iterative multiple model estimation. (2021) (4)
- Group Iterative Multiple Model Estimation (GIMME) for Personalized Personality Models (2017) (3)
- Estimating both directed and undirected contemporaneous relations in time series data using hybrid-group iterative multiple model estimation. (2022) (3)
- Modeling Heterogeneous Peer Assortment Effects Using Finite Mixture Exponential Random Graph Models (2016) (3)
- Directly assessing interpersonal RSA influences in the frequency domain: An illustration with generalized partial directed coherence. (2018) (3)
- ASPECTS OF PSYCHOPHYSIOLOGICAL DATA ANALYSIS: EEG COHERENCY AND fMRI CONNECTIVITY MAPPING (2012) (2)
- Commentary: Person-specific, multivariate, and dynamic analytic approaches to actualize ACBS task force recommendations for contextual behavioral science (2022) (2)
- Using Cohen's κ for Community Detection in Social Networks (2015) (2)
- Model Implied Instrumental Variable (MIIV) Estimation of Structural Equation Models [R package MIIVsem version 0.5.5] (2020) (2)
- Social goals in girls transitioning to adolescence: associations with psychopathology and brain network connectivity (2022) (2)
- The Influence of Autoregressive Relation Strength and Search Strategy on Directionality Recovery in GIMME (2020) (2)
- Predicting student outcomes using digital logs of learning behaviors: Review, current standards, and suggestions for future work. (2022) (2)
- Evaluating the Use of the Automated Unified Structural Equation Model for Daily Diary Data. (2017) (2)
- Shared and individual-specific daily stress-reactivity in a cross-diagnostic at-risk sample. (2022) (1)
- Deep Learning: A Primer for Psychologists (2019) (1)
- Erratum: Examining working memory task acquisition in a disrupted neural network (Brain (2011) 134:5 (1555-1570) DOI:10.1093/brain/awr043) (2014) (1)
- Individual-specific and subgroup level associations between stress and psychopathology in daily life: A temporal network investigation (2021) (1)
- Novel estimation method for arriving at group connectivity maps with fMRI data (2011) (1)
- A Square-Root Second-Order Extended Kalman Filtering Approach for Estimating Smoothly Time-Varying Parameters (2020) (1)
- Neural connectivity underlying adolescent social learning in sibling dyads (2022) (1)
- Evaluating the Use of the Automated Unified Structural Equation Model for Daily Diary Data (2017) (0)
- Finding groups: a comparison of community detection methods for FMRI data (2014) (0)
- Erratum: Hurd et al., “Cannabis and the Developing Brain: Insights into Its Long-Lasting Effects” (2020) (0)
- Intensive Longitudinal Analysis of Human Processes (2023) (0)
- Author ’ s Accepted Manuscript Parsing Heterogeneity in the Brain Connectivity of Depressed and Healthy Adults During Positive MoodParsing Heterogeneity in Brain Connectivity (2016) (0)
- A high precision method to estimate effective connectivity networks at the group and individual levels (2012) (0)
- Blind Subgrouping of Task-based fMRI. (2023) (0)
- Modeling Heterogeneous Peer Assortment Effects Using Finite Mixture Exponential Random Graph Models (2019) (0)
- Specifying exogeneity and bilinear effects in data-driven model searches (2020) (0)
- Causal search procedures for fMRI: review and suggestions (2016) (0)
- Latent Variable GIMME Using Model Implied Instrumental Variables (MIIVs) (2019) (0)
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