Impact Factor
4.35
Journal Citation Impact
Estimated influence, citation density, publishing volume, and citation integrity from the analytics table.
Citation rate
6.63
3,161 total citations
h5-index
67
h5 depth signal
Cited share
85.4%
439 of 514
Total citations
3,161
Citation footprint
Metric signal
5.53
External metric anchor
Self-citation
7.3%
231 self-citations
Citations Trend
Monthly Publications Cadence
Citing Geographic Demographics
United States
873
Germany
403
United Kingdom
306
Netherlands
278
China
235
Citing Fields of Research
Neurosciences
1,056
Psychiatry & Psychology
953
Linguistics & Language Studies
490
Statistical Methods
460
AI & Machine Learning
303
Publishing Activity & Reach
Volume, recency, access pattern, and citing-community signals from the journal analytics record.
All-time article footprint
5,991
Articles tracked across the journal lifetime
Indexed publication set
514
439 cited publications
Last 12 months
360
30.0 publications/month
Open access share
65.8%
237 OA publications in the last year
Leading citing country
United States
873 citing publications
Leading citing field
Neurosciences
1,056 citing publications
Latest tracked publication
19 October 2026
10 recent records available
Coverage & Indexing History
v37n1, Feb. 2005-
v37n1, Feb. 2005-
Research Focus & Classification
Indexed Subjects
Psychiatry & Psychology
Neurosciences
Linguistics & Language Studies
Statistical Methods
Issuing & Sponsoring Bodies
Contributor
Psychonomic Society
Broad Categories
Behavioral Sciences
Neurosciences
Psychiatry & Psychology
Statistical Methods
Linguistics & Language Studies
MeSH Descriptors
Behavioral Research
Psychology, Experimental
Research Design
Latest Publications
Recent article records with DOI-first linking and condensed abstracts.
01
DOI 10.3758/s13428-026-03201-y
Open DOI
A tutorial on selecting, translating, and reporting variance priors in Bayesian multilevel models
Bayesian multilevel models are increasingly used in psychological, educational, and behavioral research, yet applied guidance on specifying priors for scalar variance components remains limited. This tutorial provides a practical workflo...
02
03
DOI 10.3758/s13428-026-03205-8
Open DOI
Introducing GABLE: Lightweight infrastructure for longitudinal experiments using Google Apps Script
Longitudinal studies are essential for understanding how behaviors, skills, and psychological states evolve over time. While online platforms have made study development easier, researchers still face major logistical challenges when man...
04
DOI 10.3758/s13428-026-03172-0
Open DOI
Combined eye tracking and electroencephalography during referential selection in dyadic interaction
Understanding language in real-world interaction requires methods that integrate auditory, visual, and neural signals. We present a proof-of-concept study combining mobile electroencephalography (EEG) and eye tracking to investigate refe...
05
DOI 10.3758/s13428-026-03187-7
Open DOI
A topic-based framework for interpretable and sparse semantic representations
In computational approaches to language, semantic representations produced by modern deep learning systems are often encoded as high-dimensional latent vectors that are difficult to interpret. By contrast, cognitive science has emphasize...
06
DOI 10.3758/s13428-026-03210-x
Open DOI
Identifying hidden cognate effects in L2 lexical retrieval tasks: A tutorial for stimulus design
Psycholinguistic research involving multilingual participants often examines the extent to which processing of one language is related to processing of ano
07
DOI 10.3758/s13428-026-03204-9
Open DOI
Decisions under uncertainty: A statistical framework for evaluating practical relevance in interval-based hypothesis testing
Psychological researchers are increasingly encouraged to move beyond a narrow focus on detecting statistically significant effects that differ from zero. To interpret findings more meaningfully, best practices emphasize evaluating effect...
08
DOI 10.3758/s13428-026-03188-6
Open DOI
The samplr package: A tool for modeling human cognition with sampling algorithms
Many models of cognition have sampling as a central component. Researchers have used them to explain human performance across a wide range of tasks involving perception, probability reasoning, and choice. One family of these models takes...
09
DOI 10.3758/s13428-026-03140-8
Open DOI
Not that cloze: Sentence constraint is influenced by language and language dominance
In the fields of language processing and prediction, cloze tests are used to establish sentence constraint norms. The validity of cloze test results depends heavily on how closely the pre-test population matches the main study population...
10
Bibliographical & Catalog Notes
Title from cover.
Print issues ceased with v. 41, no. 4 (2009)
Also issued online.