| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Business and Management | 117 | 61 | 76 | 23 |
| Computer Science | 133 | 86 | 139 | 36 |
| Engineering and Technology | 487 | 32 | 37 | 17 |
The journal primarily tackles Decision support system, Knowledge management, Humanities, Data science and Process management. The majority of Decision support system studies presented zero in on Business decision mapping.
The journal publications generally zeroe in on subjects such as Data science, Key (cryptography), Business intelligence, Embeddedness and Set (abstract data type). Most of the works presented in the most cited publications deal with Data science but they intersect with the subject of Business process.
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 Support Systems (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 Support Systems (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 2019 edition, 40.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 66.67% 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 33.33% 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.
Becoming a researcher in the field of Decision Support Systems offers great potential for those interested in data science, business intelligence, and process management. However, another attractive prospect in this field lies in the practice and application of these concepts in real-world situations. One of the career avenues that extensively incorporate the tenets of Decision Support Systems is urban planning. As an urban planner, you'd utilize decision mapping, data analysis, and knowledge management, among other skills, to make informed decisions on the development of cities and towns. In Wyoming, urban planners can expect to earn a competitive salary. According to a survey by the U.S Bureau of Labor Statistics, Urban Planners in Wyoming are earning an average salary of $65,560 a year as of May 2019. This can vary significantly depending on the years of experience and the complexity of the projects handled by the planner. If you're looking to further your education in this field while working as an urban planner, consider checking some of the top business schools in Wyoming. These schools offer advanced degrees that merge the world of business with urban planning, equipping you with the necessary skills to lead and manage significant urban projects. For more information and a comprehensive list of the best business schools in Wyoming, you may refer to this link.
Eric VanDerHorn;Eric VanDerHorn;Sankaran Mahadevan
(2021)Gang Kou;Yong Xu;Yi Peng;Feng Shen
(2021)Yuanyuan Wu;Yuanyuan Wu;Eric W.T. Ngai;Pengkun Wu;Pengkun Wu;Pengkun Wu;Chong Wu
(2020)Patricia Craja;Alisa Kim;Stefan Lessmann
(2020)Xiaoge Zhang;Sankaran Mahadevan
(2020)Ashish Kumar Jha;Maher A.N. Agi;Eric W.T. Ngai
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