| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 853 | 9 | 13 | 5 |
| Psychology | 1171 | 6 | 6 | 4 |
The objective of Journal of Cognitive Engineering and Decision Making is to combine knowledge in the areas of Cognition, Human–computer interaction, Situation awareness, Knowledge management and Naturalistic decision-making. Cognition research featured in the journal incorporates concerns from various other topics such as Cognitive psychology, Social psychology and Management science. It explores research in Social psychology and the adjacent study of Applied psychology.
The journal addresses concerns in Human–computer interaction which are intertwined with other disciplines, such as Simulation, Task (project management) and Human–robot interaction. The work tackled in Journal of Cognitive Engineering and Decision Making goes beyond the discipline of Task (project management) as it also encompasses Artificial intelligence. Attendees of the journal participated in discussions that delve into both Situation awareness and Human factors and ergonomics.
Human factors and ergonomics and Injury prevention are closely related fields of research discussed in it. The research on Knowledge management featured in Journal of Cognitive Engineering and Decision Making combines topics in other fields like Risk analysis (engineering) and Task analysis. The presented Naturalistic decision-making research focuses mostly on Health care and, on occasion, topics in Nursing.
The published articles facilitate discussions on Situation awareness, Human–computer interaction, Social psychology, Knowledge management and Cognition. The published articles in Sensemaking fall within the purview of Knowledge management but it also intertwines with topics in Cognitive ergonomics. The Cognition research presented in the journal publications focuses mostly on Cognitive psychology and, on occasion, topics in Task (project management), Working memory, Level of consciousness and Association (psychology).
Journal of Cognitive Engineering and Decision Making is mainly concerned with subjects like Human–computer interaction, Sensemaking, Risk analysis (engineering), Perspective (graphical) and Cognitive systems engineering. Aside from investigating topics in Usability under Human–computer interaction, it also explores concepts in Cognitive ergonomics. Journal of Cognitive Engineering and Decision Making addresses concerns in the field of Sensemaking by exploring it in line with topics in Naturalistic decision-making which intersect with Applied psychology subjects.
The research on Applied psychology tackled can also make contributions to studies in the areas of Teamwork, Situation awareness, Team conflict and Remotely piloted aircraft. While the journal focused on Risk analysis (engineering), it was also able to explore topics like Team communication, Driving automation, Adaptation (computer science) and Resilience (network). The journal explores the study of Cognitive systems engineering to improve our understanding of the broader topic of Cognition.
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 Cognitive Engineering and Decision Making (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 Cognitive Engineering and Decision Making (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, 8.33% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 18.18% were posted by at least one author from the top 10 institutions publishing in the journal. Another 18.18% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 36.36% of all publications and 27.27% 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.
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While pursuing your credentials, it is important to stay informed about the current trends and advancements in cognitive engineering and decision-making disciplines. Publications such as Journal of Cognitive Engineering and Decision Making are instrumental for academic insights and staying updated with research from global experts.
Besides academics, building a network with professionals and researchers in the field can provide opportunities for collaborative work and career advancement. Joining academic conferences, forums and online communities also proves beneficial in sharing knowledge and ideas.
Overall, the field of cognitive engineering and decision making offers a variety of opportunities for career growth, spanning academic research to practical application in areas such as artificial intelligence and human-computer interaction. Therefore, it is a promising area to invest your educational endeavors and research interest.
Nathan J. McNeese;Mustafa Demir;Nancy J. Cooke;Manrong She
(2021)April Rose Panganiban;Gerald Matthews;Michael D. Long
(2020)August Capiola;Holly C. Baxter;Marc D. Pfahler;Christopher S. Calhoun
(2020)Gary Klein;Robert Hoffman;Shane Mueller;Emily Newsome
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