International Journal of Systems Assurance Engineering and Management

Top Research Topics at International Journal of Systems Assurance Engineering and Management?

The journal tackles a plethora of topics, such as Reliability engineering, Artificial intelligence, Mathematical optimization, Reliability (statistics) and Data mining. The Reliability engineering works featured in International Journal of Systems Assurance Engineering and Management incorporate elements from Software, Software quality, Software reliability testing and Component (UML). The journal focuses on Artificial intelligence but the discussions also offer insight into other areas such as Machine learning and Computer vision.

The Mathematical optimization works, particularly on Particle swarm optimization are tackled in International Journal of Systems Assurance Engineering and Management. Many of the studies tackled connect Data mining with a similar field of study like Fuzzy logic.

• Reliability engineering (16.62%)
• Artificial intelligence (10.70%)
• Mathematical optimization (9.73%)

What are the most cited papers published in the journal?

• Maintenance optimization models and criteria (91 citations)
• Cross-Site Scripting (XSS) attacks and defense mechanisms: classification and state-of-the-art (78 citations)
• An ISM approach for modelling the enablers in the implementation of Total Productive Maintenance (TPM) (73 citations)

Research areas of the most cited articles at International Journal of Systems Assurance Engineering and Management:

The journal articles investigate studies in Reliability engineering, Data mining, Reliability (statistics), Mathematical optimization and Artificial intelligence. The most cited papers address concerns in the field of Reliability engineering by exploring it in line with topics in Software reliability testing which intersect with Software metric and Goal-Driven Software Development Process subjects. The published articles tackle studies in Machine learning and the interrelated subject of Quality (business) to gain insights into Artificial intelligence.

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

• Statistics
• Artificial intelligence
• Operating system

The previous edition focused in particular on these issues:

International Journal of Systems Assurance Engineering and Management is mainly concerned with subjects like Artificial intelligence, Artificial neural network, Algorithm, Machine learning and Mathematical optimization. The research on Artificial intelligence tackled can also make contributions to studies in the areas of Computer vision and Pattern recognition. The majority of Algorithm studies are focused on the issues of Particle swarm optimization.

The most cited articles from the last journal are:

• Controlling messy errors in virtual reconstruction of random sports image capture points for complex systems (10 citations)
• GWO: a review and applications (10 citations)
• Feature selection model for healthcare analysis and classification using classifier ensemble technique (5 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 Systems Assurance Engineering and Management (based on the number of publications) are:

• P. K. Kapur (36 papers) published 4 papers at the last edition, 1 less than at the previous edition,
• Uday Kumar (16 papers) absent at the last edition,
• Ompal Singh (16 papers) published 3 papers at the last edition the same number as at the previous edition,
• Millie Pant (15 papers) published 1 paper at the last edition, 1 less than at the previous edition,
• Rehan Sadiq (13 papers) published 1 paper 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 Systems Assurance Engineering and Management (based on the number of publications) are:

• Amity University (92 papers) published 14 papers at the last edition, 1 less than at the previous edition,
• University of Delhi (60 papers) published 12 papers at the last edition, 3 more than at the previous edition,
• Indian Institute of Technology Roorkee (57 papers) published 6 papers at the last edition, 3 more than at the previous edition,
• Luleå University of Technology (41 papers) published 1 paper at the last edition, 4 less than at the previous edition,
• YMCA University of Science and Technology (31 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, 34.29% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 15.35% were posted by at least one author from the top 10 institutions publishing in the journal. Another 10.96% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 14.04% of all publications and 59.65% 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 and Requirements for Research in Middle School Mathematics

One practical application of the research carried out in mathematical optimization, a major topic featured in the International Journal of Systems Assurance Engineering and Management, is in the realm of middle school math teaching. For individuals with a passion for these subject areas, a career as a middle school math teacher could be a highly fulfilling pursuit. In the State of New Jersey, becoming a middle school math teacher requires specific credentials and qualifications. Teachers must obtain a Bachelor’s degree, complete a teacher preparation program, and pass the required PRAXIS assessments. They also have to fulfill the state’s student teaching requirements, which usually implies classroom experience under the supervision of a seasoned teacher. Furthermore, the State of New Jersey mandates educators to continuously improve their skills through professional development activities, among which research can play a key role. For more detailed steps on navigating this rewarding career path, be sure to refer to our guide on how to become a middle school math teacher in New Jersey. This resource also provides insights on expected salaries, job outlook and professional organizations that can aid in career advancement. Research and practical application go hand in hand in the field of education, ensuring teachings are backed by the latest studies and discoveries in the field. Hence, enhancing your research skills in mathematical optimization could give you a distinct advantage in delivering high-quality math education to middle school students.