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International Journal of Crowd Science
H-index 5

International Journal of Crowd Science

2398-7294

Published by: Emerald Publishing

https://www.emerald.com/insight/publication/issn/2398-7294

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 842 12 13 5

Additional Metrics

Number of Best Scientists*: 19
Documents by Best Scientists*: 20
Top 100 Ranked Scientists*: 0
SCIMAGO H-index: 17
SCIMAGO SJR: 0.407
Impact Factor: N/A

Overview

Top Research Topics at International Journal in Computer Simulation?

International Journal in Computer Simulation investigates studies in Artificial intelligence, Originality, Distributed computing, Marketing and Data science. Artificial intelligence study tackled is connected to the field of Machine learning.

  • Artificial intelligence (8.52%)
  • Originality (6.28%)
  • Distributed computing (5.83%)

What are the most cited papers published in the journal?

  • Ptolemy: a framework for simulating and prototyping heterogeneous systems (930 citations)
  • SPEEDES - A multiple-synchronization environment for parallel discrete-event simulation (112 citations)
  • Efficient Simulation of Parallel Computer Systems. (68 citations)

Research areas of the most cited articles at International Journal in Computer Simulation:

The most cited papers primarily tackle Distributed computing, Object-oriented programming, Parallel computing, Parallel processing (DSP implementation) and Computer network. The published papers hold forums on Distributed computing that merge themes from other disciplines such as Computer programming, Dataflow, Emulation, Communications system and Software. The published articles explore issues in Object-oriented programming which can be linked to other research areas like Microcontroller, Software design and Signal processing.

What topics the last edition of the journal is best known for?

  • Law
  • Operating system
  • The Internet

The previous edition focused in particular on these issues:

The journal facilitates discussions on Medical education, Community service, Pandemic, Marketing and Artificial intelligence. In addition to Medical education, International Journal in Computer Simulation tackled discussions on Healthy behavior. The journal served as a forum through which researchers explored works on Community service in conjunction with disciplines such as Action research and Socialization.

The research topics discussed in International Journal in Computer Simulation include Pandemic as well as Sample (statistics). The studies on Marketing discussed can also contribute to research in the domains of Training (civil), Human resources and Tourism. Cluster analysis is the primary subject of Artificial intelligence works presented in International Journal in Computer Simulation.

The most cited articles from the last journal are:

  • Socialization Of Community Participation In Bandar Khalifah Village Development Planning Percut Sei Tuan District (15 citations)
  • School engagement as a mediator in students’ social relationships and academic performance: a survey based on CiteSpace (2 citations)
  • Document Management System (1 citations)

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 International Journal in Computer Simulation (based on the number of publications) are:

  • Lizhen Cui (7 papers) published 1 paper at the last edition,
  • Subhabaha Pal (5 papers) absent at the last edition,
  • Sandeep Bhattacharjee (5 papers) absent at the last edition,
  • Yiqiang Chen (5 papers) absent at the last edition,
  • Chunyan Miao (5 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 International Journal in Computer Simulation (based on the number of publications) are:

  • "Universitas Putra Indonesia ""YPTK""" (11 papers) absent at the last edition,
  • Nanjing Normal University (7 papers) published 1 paper at the last edition, 1 less than at the previous edition,
  • Universitas Ahmad Dahlan (3 papers) absent at the last edition,
  • Sriwijaya University (3 papers) published 3 papers at the last edition,
  • Amity University (3 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 2021 edition, 88.89% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 75.00% 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 25.00% 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 Computer Simulation Research

An expansive field, computer simulation research offers a multitude of exciting career paths for interested individuals. These jobs range from specifications writers and technical consultants to researchers, developers, and teachers. For a more in-depth examination, we can look at the path to becoming a teacher in this subject. To become a computer simulation teacher, one needs a solid foundation in computer science, as well as an understanding of simulation concepts and theories. Most importantly, an aspirant must hold a passion for teaching and imparting knowledge. The required education and certification process may seem demanding and time-consuming, but the rewards of shaping the minds of the future can be immense. For those interested in pursuing this route, the journey begins with obtaining a bachelor's degree in a related field, like computer science or mathematics. This is commonly followed by a specialized master's degree in simulation or a related field. After earning the necessary degrees, one must acquire teaching certification. This often involves additional coursework and passing relevant examinations. If you're situated in North Carolina and curious about what it takes to embark on this journey, you'd find our detailed guide on becoming a teacher in this state helpful. It outlines the necessary requirements, qualifications, and typical timeline for this career path. Learn {how long does it take to become a teacher in North Carolina}. The field of computer simulation is continually evolving, opening to significant career opportunities. As a computer simulation teacher, you could contribute to this exciting growth, share your experience and expertise, and perhaps even inspire the next generation of innovators and researchers. As we navigate the digital age, there is no better time to consider a career in computer simulation.

Top Publications

  • Fairness in Design: A Framework for Facilitating Ethical Artificial Intelligence Designs

    (2023)
    14 Citations
  • Collaborative filtering recommendation algorithm based on variational inference

    (2020)
    13 Citations
  • EID: Facilitating Explainable AI Design Discussions in Team-Based Settings

    (2023)
    6 Citations
  • Definitive guidelines toward effective mobile devices crowdtesting methodology

    Qamar Naith;Fabio Ciravegna

    (2020)
    6 Citations
  • UbiMeta: A Ubiquitous Operating System Model for Metaverse

    (2023)
    5 Citations
  • Metaverse for Healthcare: Technologies, Challenges, and Vision

    (2023)
    5 Citations
  • A Survey of Personalized Medicine Recommendation

    (2024)
    3 Citations
  • Optimizing the Service Efficacy of Crowd Ratings in Curbing Fake News Dissemination on Social Media

    (2024)
    1 Citations
  • Evolutionary information dynamics over social networks: a review

    Hangjing Zhang;Yan Chen;H. Vicky Zhao

    (2020)
    1 Citations
  • Enhancing the Well-Being of Seniors: A Teachable Agent for Ikigai

    (2024)
    1 Citations

Related Online Degrees & Career Pathways

Exploring related online degrees can broaden your career opportunities beyond traditional computer science. For those interested in the technical aspects of design and innovation, pursuing a mechanical engineering cost of education program might be a strategic choice. These degrees often cover computational modeling and problem-solving skills relevant to many tech roles.

Physics is another closely aligned field, especially for students fascinated by algorithms and system mechanics. Finding the best online physics degree can provide a strong foundation in analytical thinking and data analysis — core skills in software development and research.

For those drawn to data-driven decision making, a clear data science learning path offers practical expertise in statistics, machine learning, and big data tools. This pathway increasingly complements traditional computer science roles, opening doors in industries like finance, healthcare, and tech.

Lastly, diving into electrical systems through the best online electrical engineering programs USA can enhance your understanding of hardware, embedded systems, and IoT technologies — areas that overlap with computer science in developing smart devices and networks.

Best Scientists Contributing to This Journal