International Journal of Distributed Systems and Technologies

Top Research Topics at International Journal of Distributed Systems and Technologies?

The journal focuses largely on the fields of Distributed computing, Computer network, Cloud computing, World Wide Web and Computer security. Issues in Distributed computing were discussed, taking into consideration concepts from other disciplines like Scheduling (computing), Overhead (computing) and Scalability. The study on Scheduling (computing) presented in it intersects with subjects under the field of Grid computing.

It connects the study in Computer network with the closely related area of The Internet. International Journal of Distributed Systems and Technologies investigates Cloud computing research which frequently intersects with Virtual machine. The journal links adjacent topics like World Wide Web with Data science.

The journal features Computer security research that overlaps with concepts in Cloud computing security. The studies on Wireless sensor network discussed can also contribute to research in the domains of Node (networking), Key distribution in wireless sensor networks and Real-time computing.

• Distributed computing (26.09%)
• Computer network (17.39%)
• Cloud computing (11.74%)

What are the most cited papers published in the journal?

• A Simulator for Large-Scale Parallel Computer Architectures (91 citations)
• Telecom Big Data Based User Offloading Self-Optimisation in Heterogeneous Relay Cellular Systems (52 citations)
• City Data Fusion: Sensor Data Fusion in the Internet of Things (50 citations)

Research areas of the most cited articles at International Journal of Distributed Systems and Technologies:

The journal papers explore disciplines such as Computer security, World Wide Web, Smart city, Cloud computing and Social network. The published Computer security works encompass concepts such as Trust management (information system) and examines them in conjunction with Order (exchange). The published articles explore issues in Cloud computing which can be linked to other research areas like Semantic technology, Data management, Knowledge management and Semantic Web.

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

• Operating system
• Artificial intelligence
• Computer network

The previous edition focused in particular on these issues:

The journal mostly deals with topics like Algorithm, Benchmark (computing), Data science, Artificial intelligence and Computer network. International Journal of Distributed Systems and Technologies focuses on Algorithm but sometimes tackles the closely related disciplines such as

• Image (mathematics) which connect with Data classification, Process (computing), Computation process and Cluster analysis,
• Point (geometry), Convolutional neural network, Speedup and Data set most often made with reference to Enhanced Data Rates for GSM Evolution.. Many of the studies tackled connect Data science with a similar field of study like Deep learning.

The studies on Artificial intelligence discussed can also contribute to research in the domains of Frame (networking) and Block (data storage). The Computer network study featured in it draws parallels with the field of Anomaly detection. Event (computing), Cloud computing and The Internet are some topics wherein Anomaly detection research discussed in the journal have an impact.

The most cited articles from the last journal are:

• A Levy Flight Sine Cosine Algorithm for Global Optimization Problems (1 citations)
• A Survey: Plant Disease Detection Using Deep Learning (0 citations)
• OCEDS: Optimal Cost-Effective Data Storage in Cloud Data Centers (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.

Top authors and change over time

The top authors publishing in International Journal of Distributed Systems and Technologies (based on the number of publications) are:

• Leonard Barolli (7 papers) absent at the last edition,
• Nik Bessis (6 papers) absent at the last edition,
• Makoto Ikeda (5 papers) absent at the last edition,
• Carsten Maple (4 papers) absent at the last edition,
• Eleana Asimakopoulou (4 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.

Top affiliations and change over time

Only papers with recognized affiliations are considered

The top affiliations publishing in International Journal of Distributed Systems and Technologies (based on the number of publications) are:

• University of Bedfordshire (10 papers) absent at the last edition,
• Fukuoka Institute of Technology (10 papers) absent at the last edition,
• Jawaharlal Nehru University (4 papers) absent at the last edition,
• Sardar Vallabhbhai National Institute of Technology, Surat (4 papers) absent at the last edition,
• University of Derby (4 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, 11.76% 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 6.67% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 26.67% of all publications and 66.67% 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 Distributed Systems and Technologies

After gaining extensive knowledge in Distributed Systems and Technologies, there are numerous career paths available, ranging from a network administrator to a cloud architect. However, for individuals passionate about history and education, one career path that combines these qualifications could be in becoming a history teacher. A history teacher needs to have a well-rounded knowledge of various disciplines and technologies to effectively fulfil their role in the classroom. They must not only be well-versed in history and its various methodologies but also be ready to implement various technologies in the classroom. An understanding of Distributed Systems and Technologies can also equip a history teacher with the necessary tools to introduce students to the world of technology and the internet, which are now integral parts of our lives.

For more information on how one can leverage an understanding of Distributed Systems and Technologies in becoming a history teacher, this guide on how to become a history teacher in Kansas can provide valuable insights. This kind of career path provides a real-world implementation for the knowledge gained from studying Distributed Systems and Technologies.