1071-5819
Published by: Elsevier
https://www.journals.elsevier.com/international-journal-of-human-computer-studies
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 192 | 115 | 142 | 27 |
The journal primarily tackles Human–computer interaction, Artificial intelligence, User interface, Task (project management) and Context (language use). Human–computer interaction research is concerned with Usability in particular. The studies in Artificial intelligence featured incorporate elements of Machine learning, Computer vision and Natural language processing.
The study on Expert system presented in it intersects with subjects under the field of Knowledge base. The journal features Knowledge base research that overlaps with concepts in Knowledge acquisition. The discussions emphasized the topic of Knowledge acquisition in an attempt to further explore the field of Knowledge management.
The most cited publications are organized to reinforce research efforts on Human–computer interaction, Artificial intelligence, User interface, Knowledge management and Task (project management). The journal publications feature studies on Human–computer interaction, including topics such as Usability. Fuzzy logic is a major topic of Artificial intelligence research in the journal publications.
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 International Journal of Human-computer Studies / International Journal of Man-machine Studies (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 International Journal of Human-computer Studies / International Journal of Man-machine Studies (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 2022 edition, 0.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 0.00% 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 100.00% 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.
In finer terms, the research areas of the International Journal of Human-computer Studies and International Journal of Man-machine Studies offer numerous career options. Considering Human-computer interaction, one could pursue roles as UX/UI designers, user researchers, systems analysts, amongst others. Pursuers of Artificial intelligence might opt to become machine learning engineers, data scientists, artificial intelligence consultants, and many others. A potential career path for those interested in both Human-computer interaction and Artificial intelligence is academia, given its broad reach in technological advances. For instance, those seeking to influence tomorrow's technology leaders might consider becoming educators in these fields. New York State offers accessible routes to earning a teaching credential at a reasonable cost. For further information on acquiring a teaching credential, check out this comprehensive guide on the best teaching credential programs in New York. Moreover, it's worth noting the research fields of Human-computer interaction and Artificial intelligence are swiftly expanding. Consequently, they potentially offer a plethora of cutting-edge careers exploring novel technologies and approaches. In summary, a career in Human-computer interaction or Artificial intelligence promises not only a high potential for personal growth but also the opportunity to contribute significantly to technological advancements. Whether you decide to work in the corporate tech world, start your own tech company, or lead in academia, the prospects are boundless and continually evolving.
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