0022-2496
Published by: Elsevier
https://www.journals.elsevier.com/journal-of-mathematical-psychology
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Psychology | 881 | 22 | 30 | 7 |
The aim of Journal of Mathematical Psychology is to expand the discussion of research in Artificial intelligence, Statistics, Discrete mathematics, Econometrics and Mathematical economics. The journal explores issues in Artificial intelligence which can be linked to other research areas like Machine learning, Task (project management), Cognition and Pattern recognition. The studies tackled, which mainly focus on Discrete mathematics, apply to Combinatorics as well.
Axiom and Preference (economics) are some topics wherein Mathematical economics research discussed in Journal of Mathematical Psychology have an impact.
The published articles mainly tackle studies in Artificial intelligence, Statistics, Econometrics, Machine learning and Applied mathematics. In addition to Artificial intelligence research, the journal papers aim to explore topics under Cognitive science, Set (psychology) and Pattern recognition. The most cited publications focus on Econometrics but the discussions also offer insight into other areas such as Preference (economics) and Bayes factor.
Journal of Mathematical Psychology mostly deals with topics like Artificial intelligence, Bayesian probability, Theoretical computer science, Context (language use) and Cognitive psychology. It is mostly focused on Artificial intelligence, specifically Inference. The concepts on Bayesian probability presented in the journal can also apply to other research fields, including Partial derivative, Cumulative distribution function and First-hitting-time model.
The research on Theoretical computer science tackled can also make contributions to studies in the areas of Set representation, Knowledge space, Categorical variable, Optimization problem and Scaling. The Cognitive psychology works featured in Journal of Mathematical Psychology incorporate elements from Cognitive domain, Visual perception, Upper and lower bounds and Social connectedness. The work on Measure (mathematics) tackled in it brings together disciplines like Preference (economics), Statistics and Exponential function.
A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.
The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.
The top authors publishing in Journal of Mathematical Psychology (based on the number of publications) are:
The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.
Only papers with recognized affiliations are considered
The top affiliations publishing in Journal of Mathematical Psychology (based on the number of publications) are:
The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.
The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.
The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.
During the most recent 2021 edition, 2.33% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 7.14% were posted by at least one author from the top 10 institutions publishing in the journal. Another 16.67% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 7.14% of all publications and 69.05% were from other institutions.
A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.
The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.
The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.
Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).
The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:
The chart below illustrates experience levels of first authors in cases of publications with multiple authors.
If you are intrigued by the research topics and discussions in the Journal of Mathematical Psychology, you might consider pursuing a career in this field. Mathematic psychology involves the application of mathematical methods and models in the study of behavior, including cognitive processes and neural networks. In this field, you have the opportunity to contribute to the development of artificial intelligence, statistics, and econometrics among other interesting areas of study.
Becoming a psychologist specializing in mathematical psychology often involves gaining a bachelor's degree in psychology, then adding postgraduate study in a more specialized field. To practice as a psychologist, licensure is typically required, and requirements vary by state. For instance, if you are based in Virginia, you will need to fulfill specific Virginia psychology licensure requirements to become a psychologist in this state.
Building a successful career in mathematical psychology involves continuous learning and staying updated with the latest research in the field. Journals like the Journal of Mathematical Psychology can be wonderful resources in this endeavor. They provide knowledge on recent developments and give interesting insight into the current trending research topics and methodologies.
Sarah Schwöbel;Dimitrije Marković;Michael N. Smolka;Stefan J. Kiebel
(2021)Mega B. Herlambang;Niels A. Taatgen;Fokie Cnossen
(2021)Constantin G. Meyer-Grant;Karl Christoph Klauer
(2021)Raphael Hartmann;Karl Christoph Klauer
(2021)Lisa J. Jobst;Daniel W. Heck;Daniel W. Heck;Morten Moshagen
(2020)Don van den Bergh;Stefan Bogaerts;Marinus Spreen;Rob Flohr
(2020)Carolyn A. Murray;E. Sebastian Lelo de Larrea-Mancera;Arit Glicksohn;Ladan Shams
(2020)Julia M. Haaf;Edgar C. Merkle;Jeffrey N. Rouder
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