World's Best Scientists 2026 revealed!
Decision Support Systems
H-index 44

Decision Support Systems

Ranking & Metrics

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

Additional Metrics

Number of Best Scientists*: 173
Documents by Best Scientists*: 225
Top 100 Ranked Scientists*: 11
SCIMAGO H-index: 192
SCIMAGO SJR: 2.366
Impact Factor: 6.8

Overview

Top Research Topics at Decision Support Systems?

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.

  • Decision support system (10.87%)
  • Knowledge management (10.51%)
  • Humanities (3.26%)

What are the most cited papers published in the journal?

  • La Grille de dépistage de la consommation problématique d’alcool et de drogues chez les adolescents et les adolescentes (DEP-ADO) : développement et qualités psychométriques (55 citations)
  • The distribution of the stars in space (21 citations)
  • « Fuitage pharmaceutique », usages détournés et reconfigurations d’un médicament de substitution aux opiacés (20 citations)

Research areas of the most cited articles at Decision Support Systems:

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.

Papers citation over time

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:

  • Natacha Brunelle (11 papers) absent at the last edition,
  • Michel Perreault (9 papers) absent at the last edition,
  • Michel Landry (7 papers) absent at the last edition,
  • Karine Bertrand (6 papers) absent at the last edition,
  • Élise Roy (6 papers) absent at the last edition.

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:

  • Université de Montréal (57 papers) published 2 papers at the last edition,
  • Université de Sherbrooke (29 papers) absent at the last edition,
  • Université du Québec à Montréal (21 papers) published 1 paper at the last edition,
  • Laval University (19 papers) absent at the last edition,
  • Université du Québec à Trois-Rivières (15 papers) absent at the last edition.

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.

Publication chance based on affiliation

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.

Returning Authors Index

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.

Returning Institution Index

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.

The experience to innovation index

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:

  • Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
  • Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
  • Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
  • Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
  • Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Career Opportunities in Decision Support System field

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.

Top Publications

  • Digital Twin: Generalization, characterization and implementation

    Eric VanDerHorn;Eric VanDerHorn;Sankaran Mahadevan

    (2021)
    775 Citations
  • Bankruptcy prediction for SMEs using transactional data and two-stage multiobjective feature selection

    Gang Kou;Yong Xu;Yi Peng;Feng Shen

    (2021)
    362 Citations
  • Fake online reviews: Literature review, synthesis, and directions for future research

    Yuanyuan Wu;Yuanyuan Wu;Eric W.T. Ngai;Pengkun Wu;Pengkun Wu;Pengkun Wu;Chong Wu

    (2020)
    276 Citations
  • Deep learning for detecting financial statement fraud

    Patricia Craja;Alisa Kim;Stefan Lessmann

    (2020)
    242 Citations
  • Promoting or attenuating? An eye-tracking study on the role of social cues in e-commerce livestreaming

    (2020)
    146 Citations
  • On the platform but will they buy? Predicting customers' purchase behavior using deep learning

    (2021)
    130 Citations
  • Bayesian neural networks for flight trajectory prediction and safety assessment

    Xiaoge Zhang;Sankaran Mahadevan

    (2020)
    125 Citations
  • A note on big data analytics capability development in supply chain

    Ashish Kumar Jha;Maher A.N. Agi;Eric W.T. Ngai

    (2020)
    115 Citations

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