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CSI Transactions on ICT
H-index 4

CSI Transactions on ICT

2277-9078

Published by: Springer

https://www.springer.com/journal/40012

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 970 12 12 3

Additional Metrics

Number of Best Scientists*: 14
Documents by Best Scientists*: 14
Top 100 Ranked Scientists*: 0
SCIMAGO H-index:
SCIMAGO SJR:
Impact Factor: N/A

Overview

Top Research Topics at CSI Transactions on ICT?

CSI Transactions on ICT was organized to reinforce research efforts on Computer communication networks, Artificial intelligence, Computer network, Computer security and Algorithm. In addition to Computer communication networks, it tackled discussions on Multimedia. The Artificial intelligence works featured in it incorporate elements from Natural language processing, Machine learning, Computer vision and Pattern recognition.

It explores topics in Computer network which can be helpful for research in disciplines like Wireless and Cloud computing.

  • Computer communication networks (19.44%)
  • Artificial intelligence (16.61%)
  • Computer network (15.05%)

What are the most cited papers published in the journal?

  • Digital forensic research: current state of the art (83 citations)
  • Prediction of heart disease using data mining techniques (30 citations)
  • A comparative study on thyroid disease detection using K-nearest neighbor and Naive Bayes classification techniques (29 citations)

Research areas of the most cited articles at CSI Transactions on ICT:

The journal papers investigate areas of study like Computer communication networks, Data mining, Field (computer science), Sentiment analysis and Data science. The featured Data mining studies in the most cited publications mainly concentrate on Naive Bayes classifier but also cover areas of interest in Survivability, Set (abstract data type), k-nearest neighbors algorithm and Cluster analysis. While Data science is the key highlight in the published articles, thet also covered some subjects on Process (engineering) and Digital evidence.

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

  • Artificial intelligence
  • Operating system
  • Computer network

The previous edition focused in particular on these issues:

The discussions in CSI Transactions on ICT mainly cover the fields of Computer communication networks, Financial inclusion, Data science, World Wide Web and Encryption. It aims to bridge the gap between the study of Computer communication networks and disciplines such as National education, Public relations, Excellence, Institution (computer science) and Soul. Financial inclusion research featured in the journal incorporates concerns from various other topics such as Information and Communications Technology and Transparency (graphic).

Aside from Data science, it also covered works in the field of Data sharing. The Encryption study featured falls within the wider field of Computer security. It facilitates discussions on Internet privacy that incorporate concepts from other fields like Odds, Virtual world and Perception.

The most cited articles from the last journal are:

  • National Education Policy (NEP) 2020 and SCSVMV (1 citations)
  • Tracing encrypted messages: an analysis of the law (0 citations)
  • An integrated approach to competition regulation and data protection in India (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 CSI Transactions on ICT (based on the number of publications) are:

  • S. V. Raghavan (6 papers) published 2 papers at the last edition,
  • S. V. Raghavan (4 papers) absent at the last edition,
  • Madhav Rao (3 papers) absent at the last edition,
  • Nancy J. Anabel (3 papers) absent at the last edition,
  • Debashis De (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 CSI Transactions on ICT (based on the number of publications) are:

  • Centre for Development of Advanced Computing (14 papers) absent at the last edition,
  • Indian Institute of Technology Madras (12 papers) published 2 papers at the last edition, 1 less than at the previous edition,
  • Indian Institute of Technology, Hyderabad (11 papers) absent at the last edition,
  • Indian Institute of Science (9 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Amity University (8 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, 63.64% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 25.00% were posted by at least one author from the top 10 institutions publishing in the journal. Another 37.50% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 25.00% of all publications and 12.50% 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 ICT Research

Furthermore, it's also essential to consider how this research can influence career paths in information and communications technology (ICT). Many of the topics discussed, like artificial intelligence, computer networks, and computer security, require specialized skills often taught at university or through continued professional development. One such potential career path could be becoming a special education teacher with ICT specialization. If you are interested in applying your ICT knowledge towards a meaningful career in education, you may want to explore how to become a special education teacher in Washington. This profession would utilize many of the skills and know-how from AI and computer networks to develop adaptive learning strategies and techniques for students with special needs. Growing proficiency in these research areas not only holds promising potential for academic contributions but also for direct implementation in the real-world, influencing various fields – from special education to cybersecurity. So, leveraging the knowledge gained from CSI Transactions on ICT can present numerous fulfilling and exciting career opportunities.

Top Publications

  • On programmable networking evolution

    Pravein Govindan Kannan;Mun Choon Chan

    (2020)
    7 Citations
  • Federated learning to comply with data protection regulations

    (2022)
    4 Citations
  • Towards building an affect-aware dialogue agent with deep neural networks

    Asif Ekbal

    (2020)
    3 Citations
  • Differential privacy: a privacy cloak for preserving utility in heterogeneous datasets

    (2022)
    3 Citations
  • SleepLess: personalized sleep monitoring using smartphones and semi-supervised learning

    (2023)
    1 Citations
  • SDN fundamentals: motivation, architecture, and benefits

    (2020)
    0 Citations
  • SDN: shape of things to come

    Satish Kumar Tripathi

    (2020)
    0 Citations
  • Smart programmable networks

    Sujata Banerjee

    (2020)
    0 Citations
  • SDN: philosophy, technology and software defined software

    Ashok K. Agrawala

    (2020)
    0 Citations
  • Machine learning: principles and practices

    (2023)
    0 Citations

Related Online Degrees & Career Pathways

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