| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Business and Management | 591 | 6 | 12 | 4 |
The journal primarily tackles Knowledge management, Mathematics education, Teaching method, Experiential learning and Pedagogy. The research on Knowledge management featured in it combines topics in other fields like Engineering management, Public relations, Teamwork, Cooperative learning and Educational technology. Mathematics education and Class (computer programming) are closely related fields of research discussed in Decision Sciences Journal of Innovative Education.
The work on Experiential learning tackled in it brings together disciplines like Supply chain management and Active learning.
The published articles are mainly concerned with subjects like Mathematics education, Pedagogy, Knowledge management, Teaching method and Educational technology. The journal papers about Distance education, Academic achievement and Blended learning under the umbrella field of Mathematics education overlap with concepts in Predictor variables. The journal publications center on topics in Teaching method, with a focus on Cooperative learning.
The topics of Experiential learning, Mathematics education, Supply chain management, Course (navigation) and Business analytics are the focal point of discussions in the journal. The journal holds forums on Experiential learning that merges themes from other disciplines such as Supply chain, Manufacturing engineering, Engineering ethics and Curriculum. It aims to bridge the gap between the study of Mathematics education and Flow (mathematics).
Topics in Supply chain management were tackled in line with various other fields like Operating system and Code (cryptography). In addition to Business analytics research, the journal aims to explore topics under Context (language use), Knowledge management, Marketing analytics, Project-based learning and Data science. While the primary focus in the journal is Cognitive bias, it also dissects topics surrounding Decision tree and Active learning as a whole.
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 Decision Sciences Journal of Innovative Education (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 Decision Sciences Journal of Innovative Education (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, 3.85% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 20.00% were posted by at least one author from the top 10 institutions publishing in the journal. Another 12.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 24.00% of all publications and 44.00% 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.
Education in decision sciences is crucial to the development of professionals that can critically analyze and make effective decisions in today's fast-paced and data-driven world. A career in this field often starts with a strong foundational understanding of business, math, and technology. With this knowledge, individuals can consider various paths, including becoming an urban planner. Urban planning is a multidisciplinary field that encompasses elements of public administration, geography, urban design, and decision science. As an urban planner, you would navigate the intricate processes of urban development, strategize the optimal use of land resources, and leverage decision science principles to make informed choices for a city or town's growth and improvement. To become an urban planner in Utah, you should start by obtaining an education in a related field. Utah boasts several prestigious universities offering degrees in areas that perfectly fit this career path. One of the recommended places to start your journey is through the business programs offered in several universities across the state. You may find more information about the top business schools in Utah. These programs can provide the management and analytical skills required for a career in urban planning and other decision science-related fields. Further field specialization and experience can also open more opportunities, including roles in policy planning, transportation planning, environmental and public space planning, and urban design. Whether you aim to become an urban planner or wish to explore other roles, remember that a career in decision sciences calls for a keen, analytical mind, a strong aptitude for problem-solving, and a passion for making data-driven decisions that will make a significant impact in any industry.
Mark E. Ferguson;Matthew J. Drake
(2021)Cheri Speier‐Pero;Tobias Schoenherr
(2020)François C. Giraud-Carrier;Stanley E. Fawcett;Amydee M. Fawcett
(2021)Stanley E. Fawcett;Francois Charles Giraud‐Carrier;Amydee M. Fawcett
(2020)Jean C. Essila;Farouq Alhourani;Jaideep Motwani
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