Computers in Human Behavior

Top Research Topics at Computers in Human Behavior?

Computers in Human Behavior generally zeroes in on subjects such as Social psychology, The Internet, Social media, Context (language use) and Cognition. In it, Developmental psychology, Applied psychology and Perception are investigated in conjunction with one another to address concerns in Social psychology research. The studies in The Internet featured incorporate elements of Clinical psychology, Addiction and Internet privacy.

Computers in Human Behavior connects research in Cognition with the related topic of Cognitive psychology. The journal dives deep in exploring the relationship between the study of Cognitive psychology and Task (project management). Specifically, studies on Big Five personality traits are prevalent in the Personality works discussed.

• Social psychology (40.35%)
• The Internet (11.67%)
• Social media (10.13%)

What are the most cited papers published in the journal?

• A cognitive-behavioral model of pathological Internet use (1505 citations)
• Review: Following you home from school: A critical review and synthesis of research on cyberbullying victimization (1359 citations)
• Toward an understanding of the behavioral intention to use mobile banking (1324 citations)

Research areas of the most cited articles at Computers in Human Behavior:

Social psychology, The Internet, Knowledge management, Social media and Context (language use) are the main subjects of interest in the most cited articles. The most cited papers address concerns in Social psychology which are intertwined with other disciplines, such as Developmental psychology, Computer-mediated communication and Social network. The The Internet research presented in the published papers focuses mostly on Clinical psychology and, on occasion, topics in Anxiety.

What topics the last edition of the journal is best known for?

• Law
• Social psychology
• Artificial intelligence

The previous edition focused in particular on these issues:

Computers in Human Behavior primarily focuses on research topics in Social psychology, Social media, Context (language use), Perception and Pandemic. The presented Social psychology study covers related areas such as Norm (social) and also touches on topics like League. Computers in Human Behavior explores issues in Social media which can be linked to other research areas like Longitudinal study, Survey data collection, Scale (social sciences), Internet privacy and Competence (human resources).

The work on Context (language use) tackled in the journal brings together disciplines like Transport engineering, Virtual reality, Audiology and Heart rate. Perception research featured in Computers in Human Behavior incorporates concerns from various other topics such as Affect (psychology), Self-esteem, Young adult, Chatbot and High availability. Computers in Human Behavior focuses on Young adult but sometimes tackles the closely related topic of Psychiatry which is concerned with The Internet.

The most cited articles from the last journal are:

• The effects of cultural dimensions on algorithmic news: How do cultural value orientations affect how people perceive algorithms? (1 citations)
• Cultural intelligence as an antecedent of satisfaction with the travel app and with the tourism experience (0 citations)
• Passive social media use and psychological well-being during the COVID-19 pandemic: The role of social comparison and emotion regulation (0 citations)

Papers citation over time

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.

Top authors and change over time

The top authors publishing in Computers in Human Behavior (based on the number of publications) are:

• Paul A. Kirschner (45 papers) absent at the last edition,
• Matthieu J. Guitton (27 papers) absent at the last edition,
• Fred Paas (22 papers) absent at the last edition,
• Yair Amichai-Hamburger (22 papers) absent at the last edition,
• Mark D. Griffiths (22 papers) absent at the last edition.

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.

Top affiliations and change over time

Only papers with recognized affiliations are considered

The top affiliations publishing in Computers in Human Behavior (based on the number of publications) are:

• Michigan State University (107 papers) published 2 papers at the last edition the same number as at the previous edition,
• Open University (95 papers) published 1 paper at the last edition the same number as at the previous edition,
• Pennsylvania State University (86 papers) published 2 papers at the last edition, 7 less than at the previous edition,
• National Taiwan Normal University (83 papers) absent at the last edition,
• University of Twente (73 papers) absent at the last edition.

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.

Publication chance based on affiliation

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 2022 edition, 2.86% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 11.76% were posted by at least one author from the top 10 institutions publishing in the journal. Another 4.41% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 13.24% of all publications and 70.59% were from other institutions.

Returning Authors Index

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.

Returning Institution Index

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.

The experience to innovation index

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:

• Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
• Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
• Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
• Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
• Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Career Opportunities in Research

One key section which appears to be missing, but could enhance the depth of the article according to Google Search Quality Guidelines, is details on career prospects and opportunities in research. This section can guide readers interested in pursuing a career in research, highlighting potential paths and resources. For those intrigued by the research topics discussed in Computers in Human Behavior, it's worth knowing there are numerous career opportunities available. Whether your interest lies in social psychology, cognition, the role of the internet, or another field, a career in research allows you to investigate these topics in-depth.

Many of these careers require a background in psychology or a related field, and specific educational and experiential requirements can vary. For instance, forensic scientists perform a lot of work related to cognition and often intersect with topics discussed in this journal. For more information on pursuing a career as a forensic scientist, you can refer to our guide on how to become a forensic scientist in South Carolina.

In any career path, staying informed and up-to-date with the latest research and advancements in your area of interest is crucial. The Computers in Human Behavior journal and similar publications can be useful resources in this endeavor.

This additional section leverages the use of HTML anchor for internal linking, guiding readers to a useful resource while providing valuable information that enhances the depth and quality of the article.