Personality and Individual DifferencesJournal Home
Personality and Individual Differences is primarily devoted to the publication of articles (experimental, correlational, theoretical, expository/review) which enhance our understanding of the structure of personality and other forms of individual differences, the processes which cause these individual differences to emerge, and their practical applications. Accessible methodological contributions are also welcome. The Editors invite papers that focus on the genetic, biological, and environmental foundations of individual differences, and possible interaction effects. While we recognize the importance of questionnaires for the measurement of individual differences, we encourage their link to experimental and behavioural measures. Ultimately the editors of PAID view human beings as bio-social organisms and that work on individual differences can be most fruitfully pursued by attending to both these aspects of our nature. We are pleased to consider books for review, provided that they fall within the core aims and scope of the journal. We cannot, however, guarantee to review every book that we receive, and we do not accept unsolicited reviews. Please e-mail the most appropriate section editor if you plan to submit a book for review.
Publishing Model:Hybrid OA
ISSN:0191-8869
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EISSN:1873-3549
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Publication Frequency:Twice monthly
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Last updated on  01 Dec 2026 / Current volume: 缗炆杚 / Current issue:
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Journal Disciplines
Psychology
Medical and Pharmaceutical Sciences
Open Access Information
Publication FEEs
APCs: 4180 (USD)
This journal publishes articles under the following open access license
OA License: CC BYCC BY-NCCC BY-NC-ND
Peer-Review
Double-blind Peer Review
Author's Copyright Notice
Author's Rights:--
Journal Metrics

Impact Factor

Journal Impact Factor(JIF) 2024
缗.炆
Journal Citation Indicator(JCI) 2024
声.声缗
Web of Science Rank 2024:
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# 缗䟕/篫躭
63.46%
Q2

CiteScore Metrics

CiteScore 2024
䟕.杚
=
  声躭杚炆蔡 Citation (2022-2024)
  声䟕炆鋺 Article (2022-2024)
CiteScore Rank 2024
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# 声躭/缗声躭
91.74%
Q1
Abstracting Indexing