World's Best Scientists 2026 revealed!
International Journal of Software and Informatics
H-index 3

International Journal of Software and Informatics

1673-7288

Published by: Chinese Academy of Sciences

https://www.ijsi.org/ijsi/home

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 960 38 36 3

Additional Metrics

Number of Best Scientists*: 39
Documents by Best Scientists*: 37
Top 100 Ranked Scientists*: 0
SCIMAGO H-index:
SCIMAGO SJR:
Impact Factor: N/A

Overview

Top Research Topics at International Journal of Software and Informatics?

International Journal of Software and Informatics is organized to address concerns in the fields of Software engineering, Artificial intelligence, Programming language, Theoretical computer science and Data mining. While Software engineering is the focus of it, it also provided insights into the studies of Software, Software development and Internetware. The studies on Artificial intelligence discussed can also contribute to research in the domains of Machine learning, Computer vision and Pattern recognition.

  • Software engineering (11.11%)
  • Artificial intelligence (11.11%)
  • Programming language (8.89%)

What are the most cited papers published in the journal?

  • Propositional Attitudes and Causation. (39 citations)
  • Living Models - Ten Principles for Change-Driven Software Engineering. (29 citations)
  • Stochastic Fragments : a Framework for the Exact Reduction of the Stochastic Semantics of Rule-Based Models (27 citations)

Research areas of the most cited articles at International Journal of Software and Informatics:

The journal articles generally zeroe in on subjects such as Theoretical computer science, Software engineering, Formal methods, Programming language and Algorithm. The works on Theoretical computer science tackled in the most cited publications bring together disciplines like Operational semantics, Quotient and Formal specification. While Algorithm is the focus of the journal articles, it also provides insights into the studies of Characterization (mathematics), Hadamard transform, Set (abstract data type) and Holography.

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

  • Programming language
  • Artificial intelligence
  • Operating system

The previous edition focused in particular on these issues:

The scientific interests tackled in International Journal of Software and Informatics are Artificial intelligence, Distributed computing, Software engineering, System software and Knowledge graph. The studies in Artificial intelligence featured incorporate elements of Structure (mathematical logic), Machine learning and Fuzz testing. International Journal of Software and Informatics tackles research works in Software engineering as well as other disciplines like Graph data model and Intelligent management.

The journal focuses on System software but the discussions also offer insight into other areas such as Hash table, Search engine indexing and Cache. It explores research in Hash table alongside concepts in Parallel computing and other areas of study in Artificial neural network, Code (cryptography), Extension (predicate logic) and Field-programmable gate array. In addition to Knowledge graph research, International Journal of Software and Informatics aims to explore topics under Query language, Open source software and Software quality.

The most cited articles from the last journal are:

  • Accelerator Virtualization Framework Based on Inter-VM Exitless Communication (0 citations)
  • Efficient Blockchain-Empowered Data Sharing Incentive Scheme for Internet of Things (0 citations)
  • A Meta-Modeling Approach for Autonomous Driving Scenario Based on STTD (0 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 of Software and Informatics (based on the number of publications) are:

  • Hong Mei (5 papers) absent at the last edition,
  • Gang Huang (4 papers) published 1 paper at the last edition,
  • Zhi Jin (3 papers) absent at the last edition,
  • Shing-Chi Cheung (3 papers) absent at the last edition,
  • Bernd Krieg-Brückner (3 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 of Software and Informatics (based on the number of publications) are:

  • Chinese Academy of Sciences (9 papers) absent at the last edition,
  • Tokyo Metropolitan University (1 papers) absent at the last edition,
  • University of Eastern Piedmont (1 papers) absent at the last edition,
  • Nanjing University (1 papers) absent at the last edition,
  • Zhejiang University (1 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, 100.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, nan% were posted by at least one author from the top 10 institutions publishing in the journal. Another nan% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included nan% of all publications and nan% 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 the Field

While the subject matter of theoretical computer science, artificial intelligence, and software engineering are complex yet fascinating, it's also important to understand the career opportunities these fields can open. A career as a special education teacher could be an interesting path for those looking to combine their passion for pedagogy and special education with their love for technology and software.

The advancement in technology has opened doors for innovative methods of learning that can accommodate students with different learning abilities. As such, having a software or artificial intelligence background can significantly bolster a career in special education, enabling you to develop personalized learning solutions for your students.

For individuals interested in leveraging their technical knowledge and skills into touching the lives of students with learning disabilities, consider the prospect of earning a special education credential washington online. The education gained from this experience can equip you with the necessary skills to develop tools and software that would revolutionize the learning experience for millions of students worldwide.

Today, more than ever, the field of special education is integrating technology to positively impact the lives of students. Therefore, your skills in software engineering and understanding of artificial intelligence can make a significant difference.

Top Publications

  • Efficient Blockchain-Empowered Data Sharing Incentive Scheme for Internet of Things

    (2021)
    11 Citations
  • Time Series Data Cleaning under Multi-Speed Constraints

    Fei Gao,Shaoxu Song,Jianmin Wang;Fei Gao;Shaoxu Song;Jianmin Wang

    (2021)
    5 Citations
  • Image Style Transfering Based on StarGAN and Class Encoder

    (2022)
    3 Citations
  • Deep Learning Test Optimization Method Using Multi-objective Optimization

    (2022)
    3 Citations
  • Cross-source Data Error Detection Approach Based on Federated Learning

    (2023)
    2 Citations
  • Construction and Optimization of Co-occurrence-attribute-interaction Model for Column Semantic Recognition

    (2023)
    2 Citations
  • Multi-view Contrastive Enhanced Heterogeneous Graph Structure Learning

    (2023)
    2 Citations
  • Memory Optimization System for SGXv2 Trusted Execution Environment

    (2022)
    2 Citations
  • Deep Learning-Based Hybrid Fuzz Testing

    (2021)
    2 Citations
  • Multi-granularity Inter-class Correlation Based Contrastive Learning for Open Set Recognition

    (2022)
    2 Citations

Related Online Degrees & Career Pathways

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Best Scientists Contributing to This Journal

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