World's Best Scientists 2026 revealed!
Computer Science and Information Systems
H-index 10

Computer Science and Information Systems

1820-0214

Published by: ComSIS Consortium

http://www.comsis.org/

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 554 46 62 10

Additional Metrics

Number of Best Scientists*: 58
Documents by Best Scientists*: 72
Top 100 Ranked Scientists*: 4
SCIMAGO H-index: 32
SCIMAGO SJR: 0.401
Impact Factor: 1.8

Overview

Top Research Topics at Computer Science and Information Systems?

The aim of Computer Science and Information Systems is to expand the discussion of research in Artificial intelligence, Data mining, Software engineering, Programming language and Algorithm. Computer Science and Information Systems addresses concerns in Artificial intelligence which are intertwined with other disciplines, such as Natural language processing, Machine learning, Computer vision and Pattern recognition. The journal connects the study in Software engineering with the closely related area of Software development.

  • Artificial intelligence (16.11%)
  • Data mining (10.66%)
  • Software engineering (10.16%)

What are the most cited papers published in the journal?

  • TRM-IoT: A trust management model based on fuzzy reputation for internet of things (373 citations)
  • Ambient Intelligence: Concepts and applications (154 citations)
  • FP-outlier: Frequent pattern based outlier detection (150 citations)

Research areas of the most cited articles at Computer Science and Information Systems:

The main points discussed in the published articles deal with Software engineering, Artificial intelligence, Data mining, Algorithm and Programming language. The published papers facilitate discussions on Artificial intelligence that incorporate concepts from other fields like Machine learning, Task (project management) and Pattern recognition. While Programming language is the key highlight in the published papers, thet also covered some subjects on Natural language processing and Affix grammar.

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

  • Artificial intelligence
  • Operating system
  • Programming language

The previous edition focused in particular on these issues:

The main points discussed in the journal deals with Artificial intelligence, Data mining, Big data, Cloud computing and Data science. Topics in Artificial intelligence were tackled in line with various other fields like Machine learning and Computer vision. Specifically, studies on Image (mathematics) are prevalent in the Computer vision works discussed.

The Cloud computing research presented in it explores the relationship between Enhanced Data Rates for GSM Evolution and the closely related topic of Load balancing (computing). The discussions emphasized the topic of Load balancing (computing) in an attempt to further explore the field of Distributed computing. The journal investigates Data science research which frequently intersects with Information exchange.

The most cited articles from the last journal are:

  • Multi-objective optimization of container-based microservice scheduling in edge computing (4 citations)
  • Machine learning based distributed big data analysis framework for next generation web in IoT (3 citations)
  • Conversational agent for supporting learners on a MOOC on programming with Java (2 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 Computer Science and Information Systems (based on the number of publications) are:

  • Marjan Mernik (11 papers) published 1 paper at the last edition,
  • Mirjana Ivanović (10 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Dezhi Han (10 papers) published 2 papers at the last edition, 1 more than at the previous edition,
  • Zoran Budimac (10 papers) absent at the last edition,
  • Ivan Luković (10 papers) published 1 paper 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 Computer Science and Information Systems (based on the number of publications) are:

  • University of Maribor (19 papers) published 1 paper at the last edition the same number as at the previous edition,
  • University of Minho (15 papers) absent at the last edition,
  • Beijing Jiaotong University (13 papers) absent at the last edition,
  • University of Belgrade (13 papers) published 6 papers at the last edition, 4 more than at the previous edition,
  • Dalian University of Technology (11 papers) published 1 paper 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, 6.25% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 16.00% were posted by at least one author from the top 10 institutions publishing in the journal. Another 10.67% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 16.00% of all publications and 57.33% 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 Paths for Computer Science and Information System Majors

The multidisciplinary field of Computer Science and Information Systems comprises a diverse range of career paths. Many graduates in the field can look forward to high-demand jobs such as Software Developers, Data Analysts, System Analysts, IT Managers, and more. A somewhat less common career path for CSIS majors involves the educational sector where they can contribute as private school teachers in Tennessee.The average salary in this role can be appealing to those who harbor a passion for both tech and education. Teaching in a private school setting allows them to give back to society by helping nurture the next generation of technologically adept professionals. Furthermore, by staying in the loop with the recent advances, they can also simultaneously upgrade their competencies – a crucial factor in maintaining a flourishing career in this ever-evolving field. This dual role of an educator and a lifelong student makes a teaching career in computer science and information systems a unique and rewarding pursuit. Whether you choose to delve into industry-oriented roles or contribute to academia, a degree in Computer Science and Information Systems can open up diverse avenues. The key is to stay informed, stay adaptable, and continually seek growth – both for yourself and for others.

Top Publications

  • Crowdsourcing platform for QoE evaluation for cloud multimedia services

    (2022)
    29 Citations
  • Machine learning based distributed big data analysis framework for next generation web in IoT

    Sushil Kumar Singh;Jeonghun Cha;Tae Woo Kim;Jong Hyuk Park

    (2021)
    28 Citations
  • Interactive and innovative technologies for smart education

    (2022)
    18 Citations
  • Transfer learning and GRU-CRF augmentation for COVID-19 fake news detection

    Andrea Karnyoto Stevens;Chengjie Sun;Bingquan Liu;Xiaolong Wang

    (2021)
    15 Citations
  • Improving the Performance of Process Discovery Algorithms by Instance Selection

    Mohammadreza Fani Sani;Sebastiaan J. van Zelst;Wil M. P. van der Aalst

    (2020)
    14 Citations
  • Variational neural decoder for abstractive text summarization

    (2020)
    11 Citations
  • TS-GCN: Aspect-level sentiment classification model for consumer reviews

    (2023)
    11 Citations
  • Human activities recognition with a single writs IMU via a Variational Autoencoder and android deep recurrent neural nets

    Añazco Edwin Valarezo;Lopez Patricio Rivera;Hyemin Park;Nahyeon Park

    (2020)
    10 Citations
  • Architecting business process maps

    Geert Poels;Félix García;Francisco Ruiz;Mario Piattini

    (2020)
    10 Citations
  • A K-means algorithm based on characteristics of density applied to network intrusion detection

    Jing Xu;Dezhi Han;Kuan-Ching Li;Hai Jiang

    (2020)
    10 Citations

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Best Scientists Contributing to This Journal