| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 767 | 18 | 9 | 6 |
The journal investigates studies in Human–computer interaction, Information needs, Information filtering system, Host (network) and Set (psychology). Attendees participated in lively discussions that mix various fields of study, including Information needs and Variety (cybernetics), Collaborative filtering and User experience design.
Insufficient data to conduct the analysis
The top authors publishing in Foundations and Trends in Human-computer Interaction (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 Foundations and Trends in Human-computer Interaction (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 2011 edition, 50.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 100.00% were posted by at least one author from the top 10 institutions publishing in the journal. Another 0.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 0.00% of all publications and 0.00% 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.
While this article gives an in-depth view over research progress and trends in human-computer interaction, it can be expanded to discuss the practical applications and career opportunities in the field. Human-computer interaction has practical applications in a wide range of industries, namely software development, web design, ergonomics, and usability testing. For instance, individuals with a background and interest in human-computer interaction can become UX researchers, UX designers, interaction designers, information architects, or even software engineers. In specific roles, like a preschool teacher assistant where the use of technology has become prevalent with the rise of e-learning tools, understanding the field of human-computer interaction becomes crucial. This can aid in the creation of learning tools that are child-friendly and effective for teaching. If you're interested, be sure to understand the specific preschool teacher assistant requirements in Indiana before deciding to pursue this career path. Furthermore, engaging with human-computer interaction research can provide you with the necessary knowledge to implement technology that complements human behaviour and needs, creating effective and enjoyable educational tools for preschool learners.
Danaë Metaxa;Joon Sung Park;Ronald E. Robertson;Karrie Karahalios
(2021)Simone Stumpf;Anicia Peters;Shaowen Bardzell;Margaret Burnett
(2020)Joshua Leung;Andy Cockburn
(2021)For those interested in pursuing Computer Science, exploring related online degrees can expand career opportunities significantly. Many students opt for programs offered by best online schools, which provide flexibility without compromising quality.
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