World's Best Scientists 2026 revealed!
Behaviour and Information Technology
H-index 29

Behaviour and Information Technology

0144-929X

Published by: Taylor & Francis

https://www.tandfonline.com/toc/tbit20/current

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Business and Management 274 19 25 12
Computer Science 356 72 79 16
Psychology 607 50 52 11

Additional Metrics

Number of Best Scientists*: 182
Documents by Best Scientists*: 198
Top 100 Ranked Scientists*: 3
SCIMAGO H-index: 103
SCIMAGO SJR: 1.103
Impact Factor: 3.1

Overview

Top Research Topics at Behaviour & Information Technology?

Behaviour & Information Technology focuses largely on the fields of Human–computer interaction, Social psychology, Knowledge management, Usability and World Wide Web. In addition to Human–computer interaction research, it aims to explore topics under User interface, Multimedia and Task (project management). Social psychology research presented in it encompasses a variety of subjects, including Context (language use), Applied psychology and Perception.

It holds forums on Knowledge management that merges themes from other disciplines such as Information technology and Information system. Usability engineering, Usability goals and Usability lab studies are all carried out as a component of the study in Usability presented.

  • Human–computer interaction (17.41%)
  • Social psychology (15.32%)
  • Knowledge management (13.14%)

What are the most cited papers published in the journal?

  • User experience - a research agenda (1714 citations)
  • The role of children in the design of new technology (941 citations)
  • Attention web designers: You have 50 milliseconds to make a good first impression! (733 citations)

Research areas of the most cited articles at Behaviour & Information Technology:

The journal papers focus largely on the fields of Social psychology, Usability, Human–computer interaction, Knowledge management and World Wide Web. While work presented in the most cited papers provide substantial information on Social psychology, it also covers topics in Context (language use), Information technology, Applied psychology and Empirical research. The most cited articles address concerns in the field of Human–computer interaction by exploring it in line with topics in Cognition which intersect with Artificial intelligence subjects.

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

  • Law
  • Artificial intelligence
  • The Internet

The previous edition focused in particular on these issues:

Human–computer interaction, Social media, Social psychology, Internet privacy and Applied psychology are the subjects of interest in the journal. Behaviour & Information Technology dives deep in exploring the relationship between the study of Human–computer interaction and Eye tracking.

The most cited articles from the last journal are:

  • Digital nudging and privacy: improving decisions about self-disclosure in social networks* (18 citations)
  • Exploring an adverse impact of smartphone overuse on academic performance via health issues: a stimulus-organism-response perspective (16 citations)
  • Does meaningful work reduce cyberloafing? Important roles of affective commitment and leader-member exchange (16 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.

The top authors publishing in Behaviour & Information Technology (based on the number of publications) are:

  • Gavriel Salvendy (43 papers) absent at the last edition,
  • Tom Stewart (18 papers) absent at the last edition,
  • John M. Carroll (13 papers) absent at the last edition,
  • Ahmet Cakir (13 papers) absent at the last edition,
  • Pei-Luen Patrick Rau (10 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.

Only papers with recognized affiliations are considered

The top affiliations publishing in Behaviour & Information Technology (based on the number of publications) are:

  • Purdue University (35 papers) published 4 papers at the last edition,
  • Tsinghua University (29 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Loughborough University (20 papers) published 1 paper at the last edition,
  • University of Maryland, Baltimore County (19 papers) absent at the last edition,
  • IBM (19 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 2021 edition, 8.74% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 3.72% were posted by at least one author from the top 10 institutions publishing in the journal. Another 4.79% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 12.77% of all publications and 78.72% 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.

Application of Behavioral and Information Technology in Urban Planning

The comprehensive insights that the Behaviour & Information Technology journal provides are instrumental in a multitude of fields. One such field where these insights can be further applied is in Urban Planning. Integrating principles of Human-computer interaction and Knowledge management can help create smarter and more effective urban environments. Understanding social psychology and perception can result in more inclusive, access-oriented cities. Notably, the application of behavioural and information technology insights in urban planning can greatly affect professionals involved in this field, such as urban planners. For example, knowing how to leverage these technological advancements and psychological insights can enhance their decision-making process and create more holistic urban strategies. Consequently, this has an impact on an urban planner's remuneration and overall professional growth. For more specific data regarding this, you can look at statistics on how these advancements can impact an urban planner's profession, such as the average earnings. Take, for example, Louisiana, where the employment landscape for urban planners is quite progressive. To get a better understanding, look into how much do urban planners make in Louisiana. Hence, the applications of the learnings from Behaviour and Information Technology in urban planning demonstrate the far-reaching implications of this field, affecting not only our surroundings but also our professions and livelihoods.

Top Publications

  • Measuring user competence in using artificial intelligence: validity and reliability of artificial intelligence literacy scale

    Unknown

    (2022)
    507 Citations
  • Using smartwatches for fitness and health monitoring: the UTAUT2 combined with threat appraisal as moderators

    Phaik Khee Beh;Yuvaraj Ganesan;Mohammad Iranmanesh;Behzad Foroughi

    (2021)
    192 Citations
  • Descriptive and visual summaries of disaster events using artificial intelligence techniques: case studies of Hurricanes Harvey, Irma, and Maria

    Firoj Alam;Ferda Ofli;Muhammad Imran

    (2020)
    107 Citations
  • Mapping Twitter hate speech towards social and sexual minorities: a lexicon-based approach to semantic content analysis

    Vittorio Lingiardi;Nicola Carone;Giovanni Semeraro;Cataldo Musto

    (2020)
    100 Citations
  • Factors that determine residents’ acceptance of smart city technologies

    Abdulrahman Habib;Duha Alsmadi;Victor R. Prybutok

    (2020)
    100 Citations
  • Too old for technology? Stereotype threat and technology use by older adults

    João Mariano;Sibila Marques;Miguel R. Ramos;Filomena Gerardo

    (2021)
    84 Citations
  • Fear of COVID-19, loneliness, smartphone addiction, and mental wellbeing among the Turkish general population: a serial mediation model

    A. Rifat Kayis;Begum Satici;M. Engin Deniz;Seydi Ahmet Satici

    (2021)
    82 Citations
  • Human-centred artificial intelligence: a contextual morality perspective

    Niels van Berkel;Benjamin Tag;Jorge Goncalves;Simo Hosio

    (2020)
    71 Citations
  • What We Think We Know About Cybersecurity: An Investigation of the Relationship between Perceived Knowledge, Internet Trust, and Protection Motivation in a Cybercrime Context

    Lies De Kimpe;Michel Walrave;Pieter Verdegem;Koen Ponnet;Koen Ponnet

    (2021)
    54 Citations
  • Personality traits, psychological well-being, Facebook addiction, health and performance: testing their relationships

    Davoud Nikbin;Mohammad Iranmanesh;Behzad Foroughi

    (2021)
    47 Citations

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