World's Best Scientists 2026 revealed!
Kybernetes
H-index 20

Kybernetes

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 503 21 33 12

Additional Metrics

Number of Best Scientists*: 95
Documents by Best Scientists*: 132
Top 100 Ranked Scientists*: 5
SCIMAGO H-index: 59
SCIMAGO SJR: 0.606
Impact Factor: 2.9

Overview

Top Research Topics at Kybernetes?

The journal facilitates discussions on Cybernetics, Artificial intelligence, Management science, Knowledge management and Epistemology. While Kybernetes focused on Cybernetics, it was also able to explore topics like Systems theory, Cognitive science, Value (ethics) and Operations research. The study on Artificial intelligence presented in Kybernetes intersects with subjects under the field of Machine learning.

  • Cybernetics (35.00%)
  • Artificial intelligence (24.03%)
  • Management science (8.00%)

What are the most cited papers published in the journal?

  • Reinforcement Learning: : An Introduction (1496 citations)
  • Convergence of Adomian's Method (484 citations)
  • Cellular Automata: A Discrete Universe (418 citations)

Research areas of the most cited articles at Kybernetes:

The most cited articles are organized to reinforce research efforts on Cybernetics, Artificial intelligence, Fuzzy logic, Knowledge management and Management science. The most cited publications hold forums on Cybernetics that merge themes from other disciplines such as Systems theory, Cognitive science and Operations research. The journal articles focus on Artificial intelligence research which is adjacent to topics in Machine learning.

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

  • Artificial intelligence
  • Law
  • World War II

The previous edition focused in particular on these issues:

The concepts of Knowledge management, Originality, Industrial organization, Cloud computing and Social psychology are tackled in Kybernetes. The in-depth study on Knowledge management also explores topics in the intersecting field of Quality (business). Research in the field of Value (ethics) was used to conduct the presented Originality study.

Kybernetes dives deep in exploring the relationship between the study of Value (ethics) and Context (language use). The research on Cloud computing featured in Kybernetes combines topics in other fields like Information technology, Human resource management and Human resources.

The most cited articles from the last journal are:

  • Society 5.0: balancing of Industry 4.0, economic advancement and social problems (20 citations)
  • A sustainable inventory system with the advanced payment policy and trade-credit strategy for a two-warehouse inventory system (13 citations)
  • Service discovery mechanisms in cloud computing: a comprehensive and systematic literature review (8 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 Kybernetes (based on the number of publications) are:

  • Alex M. Andrew (203 papers) absent at the last edition,
  • Yi Lin (77 papers) absent at the last edition,
  • Yves Cherruault (75 papers) absent at the last edition,
  • Brian H. Rudall (39 papers) absent at the last edition,
  • Robert Vallée (36 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 Kybernetes (based on the number of publications) are:

  • Nanjing University of Aeronautics and Astronautics (79 papers) absent at the last edition,
  • University of Reading (54 papers) absent at the last edition,
  • University of Alicante (44 papers) absent at the last edition,
  • Huazhong University of Science and Technology (44 papers) absent at the last edition,
  • Pierre-and-Marie-Curie University (42 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, 98.21% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 0.00% 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 0.00% of all publications and 100.00% 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.

Further Research and Author Guidelines

Expanding the knowledge base is always at the core of any research. At Kybernetes, we appreciate that authors who contribute to our journal come from various backgrounds, helping enrich the research pool. For prospective authors, it's critical to align your research with the theme of our journal. As you construct your paper, it's essential to determine its relevance in the current context. Consider questions like, how does your research contribute to the existing body of work? Is it bridging a specific knowledge gap? How will it influence practitioners and researchers in the field? And quite significantly, would the paper be of interest to our Kybernetes readership? Moreover, potential authors should ensure their work adheres to ethical research practices. This includes awareness of forbidden practices like plagiarism and fabrication of data. For assistance, shepherding services are available to guide authors, particularly those new to English academic writing. For those intending to pursue a teaching career especially in private schools, it's essential to note that the requirements might differ depending on the state. As a useful tool, here is a guide on whether {anchor} do private school teachers need a degree in Dakota. Ultimately, by adhering to these guidelines, you will not only increase your chances of acceptance, but the impact of your research will also be amplified. We look forward to your valuable contributions.

Top Publications

  • Service discovery mechanisms in cloud computing: a comprehensive and systematic literature review

    Arash Heidari;Nima Jafari Navimipour

    (2021)
    57 Citations
  • Analysis of public reactions to the novel Coronavirus (COVID-19) outbreak on Twitter

    Saleha Noor;Yi Guo;Syed Hamad Hassan Shah;Philippe Fournier-Viger

    (2021)
    34 Citations
  • Toward the efficient service selection approaches in cloud computing

    Morteza Rahimi;Nima Jafari Navimipour;Mehdi Hosseinzadeh;Mohammad Hossein Moattar

    (2021)
    32 Citations
  • A new risk evaluation methodology based on FMEA, MULTIMOORA, TPOP, and interval-valued hesitant fuzzy linguistic sets with an application to healthcare industry

    Samaneh Zolfaghari;Seyed Meysam Mousavi

    (2021)
    28 Citations
  • Three-way group decisions under hesitant fuzzy linguistic environment for green supplier selection

    Weimin Ma;Wenjing Lei;Bingzhen Sun

    (2020)
    23 Citations
  • Cloud computing and human resource management: systematic literature review and future research agenda

    Juan Manuel Maqueira Marín;Diessica De Oliveira-Dias;Nima Jafari Navimipour;Bhaskar Gardas

    (2021)
    17 Citations
  • Artificial intelligence-driven bioenergy system: digital green innovation partner selection of bioenergy enterprises based on interval fuzzy field model

    (2023)
    17 Citations
  • Performance evaluation of higher education system amid COVID-19: a threat or an opportunity?

    Bhaskar B. Gardas;Nima Jafari Navimipour

    (2021)
    16 Citations
  • Introducing a multi-criteria evaluation method using Pythagorean fuzzy sets: A case study focusing on resilient construction project selection

    Vahid Mohagheghi;Seyed Meysam Mousavi;Mohammad Mojtahedi;Sidney Newton

    (2020)
    14 Citations
  • A new model for analyzing the role of new ICT-based technologies on the success of employees' learning programs

    Amir Masoud Rahmani;Ali Ehsani;Mokhtar Mohammadi;Adil Hussein Mohammed

    (2021)
    13 Citations

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Best Scientists Contributing to This Journal

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