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Journal of Information and Knowledge Management
H-index 7

Journal of Information and Knowledge Management

0219-6492

Published by: World Scientific

https://www.worldscientific.com/worldscinet/jikm

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 1006 7 9 3

Additional Metrics

Number of Best Scientists*: 23
Documents by Best Scientists*: 28
Top 100 Ranked Scientists*: 0
SCIMAGO H-index: 28
SCIMAGO SJR: 0.234
Impact Factor: 1

Overview

Top Research Topics at Journal of Information & Knowledge Management?

The objective of the journal is to combine knowledge in the areas of Knowledge management, Personal knowledge management, Knowledge sharing, Knowledge value chain and Process (engineering). The research on Knowledge management discussed in Journal of Information & Knowledge Management draws on the closely related field of Context (language use). It links adjacent topics like Personal knowledge management with Body of knowledge.

It features Knowledge sharing research that overlaps with concepts in Public relations.

  • Knowledge management (37.15%)
  • Personal knowledge management (9.54%)
  • Knowledge sharing (8.81%)

What are the most cited papers published in the journal?

  • Factors Impacting Knowledge Sharing (123 citations)
  • Business Intelligence from Web Usage Mining (66 citations)
  • A Model of Organisational Knowledge Management Maturity Based on People, Process, and Technology (66 citations)

Research areas of the most cited articles at Journal of Information & Knowledge Management:

The published articles explore disciplines such as Knowledge management, Personal knowledge management, Knowledge sharing, Knowledge value chain and Organizational learning. While work presented in the journal publications provide substantial information on Knowledge management, it also covers topics in Context (language use), Competitive advantage and Empirical research. The studies on Personal knowledge management discussed at the published papers can also contribute to research in the domains of Knowledge economy, Best practice, Public relations, Content management and The Internet.

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

  • Artificial intelligence
  • The Internet
  • Management

The previous edition focused in particular on these issues:

Journal of Information & Knowledge Management facilitates discussions on Knowledge management, Artificial intelligence, Environmental health, Information retrieval and Social media. The in-depth study on Artificial intelligence also explores topics in the intersecting field of Machine learning. It aims to bridge the gap between the study of Environmental health and Rural area.

The most cited articles from the last journal are:

  • Kombinasi Metode Permainan dan Demonstrasi dalam Meningkatkan Pengetahuan Ibu tentang Stunting (5 citations)
  • Governmental Policies in Managing COVID-19 Pandemic: Comparative Study Between Indonesia and Vietnam, Period of January – March 2020 (4 citations)
  • Exploiting Papers’ Reference’s Section for Multi-Label Computer Science Research Papers’ Classification (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 Journal of Information & Knowledge Management (based on the number of publications) are:

  • Fadi Thabtah (11 papers) absent at the last edition,
  • Ramaraj Palanisamy (9 papers) absent at the last edition,
  • Nur Alam Fajar (9 papers) published 1 paper at the last edition,
  • Rico Januar Sitorus (8 papers) published 1 paper at the last edition,
  • Meliha Handzic (8 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 Journal of Information & Knowledge Management (based on the number of publications) are:

  • Sriwijaya University (52 papers) published 8 papers at the last edition the same number as at the previous edition,
  • University of Indonesia (17 papers) published 4 papers at the last edition, 1 more than at the previous edition,
  • Kuwait University (16 papers) published 2 papers at the last edition, 1 more than at the previous edition,
  • Multimedia University (13 papers) published 1 paper at the last edition the same number as at the previous edition,
  • VIT University (12 papers) published 7 papers 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, 39.10% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 32.10% were posted by at least one author from the top 10 institutions publishing in the journal. Another 2.47% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 9.88% of all publications and 55.56% 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.

Interdisciplinary Application of Knowledge Management

Knowledge Management, with its multidimensional character, resonates well beyond the core concepts of Personal Knowledge Management and Knowledge Sharing. It can yield valuable insights when applied across different academic and professional disciplines. Among such is the field of education, where knowledge management techniques and principles can be used for improving teaching methods, pedagogical strategies, and overall academia-related scenarios. A concrete example of this interdisciplinary application is in the journey of becoming an art teacher in Massachusetts. Here, knowledge management principles such as knowledge acquisition, organization, and transfer prove immensely helpful for potential candidates. For those interested in embarking on this career path, understanding the specific art teacher requirements in Massachusetts, becomes an integral part of their knowledge management process. Upon acquiring this domain-specific knowledge, it's crucial to then organize and apply it effectively. Identified strategies, regulations, and requirements need to be tailor-fit into a personal knowledge management system that also includes, but is not limited to, individual learning styles, teaching philosophies, and career goals. By doing so, aspirant art teachers are not only arming themselves with the essential knowledge to facilitate their employment process but are also cultivating a mindset of continual learning and professional growth - a highly valued trait within the educational sector. This example underscores the importance of integrating knowledge management principles into various disciplines. Knowledge Management, indeed, transcends the borders of specializations, acting as a universal toolset that researchers, professionals, and individuals can harness to enhance their respective fields or pursuits.

Top Publications

  • Data Imbalance in Autism Pre-Diagnosis Classification Systems: An Experimental Study

    Neda Abdelhamid;Arun J. Padmavathy;David Peebles;Fadi Thabtah

    (2020)
    16 Citations
  • Chess Results Analysis Using Elo Measure with Machine Learning

    Fadi Thabtah;Arun J. Padmavathy;Andrew Pritchard

    (2020)
    4 Citations
  • Cyberbullying Detection Model for Arabic Text Using Deep Learning

    (2024)
    4 Citations
  • Translation Accuracy Evaluation of English Complex Long Sentences Based on Multi-Label Clustering Algorithms

    (2021)
    2 Citations
  • Deep Reinforcement Learning for Financial Forecasting in Static and Streaming Cases

    (2024)
    0 Citations
  • On Combining Instance Selection and Discretisation: A Comparative Study of Two Combination Orders

    (2024)
    0 Citations
  • Preface

    (2020)
    0 Citations
  • Understanding Open Collaboration of Wikipedia Good Articles with Factor Analysis

    (2022)
    0 Citations
  • Non-Communicable Diseases and Social Media: A Heart Disease Symptoms Application

    Ashwin Kumar Thandapani Kumarasamy;Daniel Adomako Asamoah;Ramesh Sharda

    (2021)
    0 Citations

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Best Scientists Contributing to This Journal