World's Best Scientists 2026 revealed!
International Journal of Information Technology and Web Engineering
H-index 4

International Journal of Information Technology and Web Engineering

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 957 4 6 4

Additional Metrics

Number of Best Scientists*: 6
Documents by Best Scientists*: 8
Top 100 Ranked Scientists*: 0
SCIMAGO H-index: 18
SCIMAGO SJR: 0.186
Impact Factor: N/A

Overview

Top Research Topics at International Journal of Information Technology and Web Engineering?

International Journal of Information Technology and Web Engineering focuses largely on the fields of World Wide Web, Artificial intelligence, Web service, Information retrieval and Data mining. Research on World Wide Web addressed in it frequently intersections with the field of Software engineering. International Journal of Information Technology and Web Engineering links adjacent topics like Software engineering with Software development.

The research on Artificial intelligence tackled can also make contributions to studies in the areas of Natural language processing, Machine learning, Computer vision and Pattern recognition. WS-Policy is a major topic of Web service research presented in International Journal of Information Technology and Web Engineering. The Web modeling works featured in the journal incorporate elements from Web standards, Web design and Web development.

The research on Semantic Web Stack featured in the journal combines topics in other fields like Social Semantic Web, Semantic grid and Semantic computing. The Social Semantic Web study which was featured in the journal aims to expound on the research in Semantic Web. International Journal of Information Technology and Web Engineering focused on Semantic Web research but expanded to cover Ontology (information science).

  • World Wide Web (17.61%)
  • Artificial intelligence (13.62%)
  • Web service (12.62%)

What are the most cited papers published in the journal?

  • FLOSSmole: A collaborative repository for FLOSS research data and analyses (151 citations)
  • Applying Social Network Analysis Techniques to Community-Driven Libre Software Projects (62 citations)
  • Towards Improving the Lexicon-Based Approach for Arabic Sentiment Analysis (62 citations)

Research areas of the most cited articles at International Journal of Information Technology and Web Engineering:

The journal publications are organized to address concerns in the fields of World Wide Web, Collaborative filtering, Recommender system, Data science and Computer security. The published papers aim to address concerns in World Wide Web, specifically in the areas of Data Web, Web service, WS-Policy, Web development and Web modeling. The most cited articles explore topics in Data science which can be helpful for research in disciplines like Open source and Open source software.

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 Information Technology and Web Engineering (based on the number of publications) are:

  • Mimoun Malki (5 papers) absent at the last edition,
  • Evelina Pencheva (5 papers) absent at the last edition,
  • Xu An Wang (4 papers) absent at the last edition,
  • Dilip Kumar Sharma (3 papers) absent at the last edition,
  • Yaser Jararweh (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 Information Technology and Web Engineering (based on the number of publications) are:

  • VIT University (8 papers) absent at the last edition,
  • Jordan University of Science and Technology (7 papers) absent at the last edition,
  • Isra University (5 papers) absent at the last edition,
  • University of Oran (5 papers) absent at the last edition,
  • SIDI (5 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 2022 edition, 50.00% 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.

Application and Relevance of Research in Academia and Vocational Training

One significant field where the research published in the International Journal of Information Technology and Web Engineering can be applied is the field of academia, especially in higher education and vocational training. The advances in various domains such as Artificial Intelligence, Web Services, Semantic Web, and others, can contribute greatly towards the curriculum and pedagogical strategies in computer science and related fields. Taking, for instance, the emerging demand for well-qualified English teachers well-versed in Information Technology. Candidates trained in Artificial Intelligence, Web Services or Semantic Web, could, in turn, use this knowledge to enhance students' language learning experiences, thereby making language learning more interactive and efficacious. Real-time applications of these advances are being integrated into various higher education curriculums as well as in vocational training programs. For example, prospective English teachers in states like Alabama now have options to learn about the latest trends in IT and Web Engineering. This trend is even more prevalent in educational regimes that are tailored to maintain a balance between core subject knowledge and pertinent technical skills. For those interested in this approach, find more related information on how to become an English teacher in Alabama, with an added emphasis on infotech, by following this link: [how to be an English teacher in Alabama]. In conclusion, the research published in the International Journal of Information Technology and Web Engineering does not only contribute to advancements in the field but also has the potential to reshape the educational landscape. Integration of these research areas into academic curriculums and vocational training programs stands as a testament to their relevance and applicability.

Top Publications

  • Autonomous Transaction Model for E-Commerce Management Using Blockchain Technology

    (2022)
    42 Citations
  • Social Network Analysis for Precise Friend Suggestion for Twitter by Associating Multiple Networks Using ML

    (2022)
    25 Citations
  • Social Network User Profiling With Multilayer Semantic Modeling Using Ego Network

    (2022)
    20 Citations
  • An Effective Recommender System Based on Clustering Technique for TED Talks

    Faiz Maazouzi;Hafed Zarzour;Yaser Jararweh

    (2020)
    13 Citations
  • Multimedia Human-Computer Interaction Method in Video Animation Based on Artificial Intelligence Technology

    (2024)
    1 Citations
  • Echo State Network-Based Content Prediction for Mobile Edge Caching Networks

    (2023)
    0 Citations

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Best Scientists Contributing to This Journal

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