| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 476 | 91 | 104 | 12 |
The journal aims to foster the development of research in Artificial intelligence, Computer network, Machine learning, Pattern recognition and Computer security. Artificial intelligence research featured in International Journal of Advanced Computer Science and Applications incorporates concerns from various other topics such as Computer vision and Natural language processing. Topics in Computer network were tackled in line with various other fields like Wireless and Distributed computing.
Feature extraction is a major topic of Pattern recognition research presented in the journal.
The most cited articles tackle a plethora of topics, such as Artificial intelligence, Pattern recognition, Machine learning, Computer security and Computer vision. The published papers investigate Artificial intelligence research which frequently intersects with Data mining. The published papers explore topics in Computer security which can be helpful for research in disciplines like Cloud computing and The Internet.
The main research concerns discussed in the journal are Artificial intelligence, Machine learning, Deep learning, Process (engineering) and Artificial neural network. International Journal of Advanced Computer Science and Applications holds forums on Artificial intelligence that merges themes from other disciplines such as Natural language processing, Computer vision and Pattern recognition. International Journal of Advanced Computer Science and Applications covers various topics on Machine learning such as Random forest and Naive Bayes classifier.
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 Advanced Computer Science and Applications (based on the number of publications) are:
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 Advanced Computer Science and Applications (based on the number of publications) are:
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.
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, 99.30% 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 16.67% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 83.33% of all publications and 0.00% were from other institutions.
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.
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.
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:
The chart below illustrates experience levels of first authors in cases of publications with multiple authors.
One significant aspect to consider when researching in the sphere of Advanced Computer Science is understanding the various career prospects in the field. Not all researchers enter academia; a substantial number merge their research skills with applications in different industries. These may include roles in academia, research and development in tech companies, and specialized fields like machine learning engineer or data analyst. One specific career pathway that may interest researchers in this field is teaching. Educators play a critical role in advancing knowledge and skills, inspiring the next generation of researchers. If you're in a research role and are contemplating a transition to teaching, you might find our guide on how to become a teacher in Mississippi useful. Though it specifically covers Mississippi, it provides an overall understanding of the process, qualifications, and steps to becoming an instructor, which can be relevant no matter where you're based. Furthermore, combining a research background with teaching can contribute significantly to the field of education, especially when instructing advanced computer science courses. Moving forward from being a researcher to becoming a teacher requires careful consideration and planning, and understanding the requirements and the process can be beneficial for such a transition.
Adam Marks;Maytha AL-Ali;Reem Atassi;Abedallah Zaid Abualkishik
(2020)Ahmad K. Al Hwaitat;Mohammed Amin Almaiah;Omar Almomani;Mohammed Al-Zahrani
(2020)Istiak Ahmad;Fahad AlQurashi;Ehab Abozinadah;Rashid Mehmood
(2021)For students considering a flexible approach to their education, a self paced degree offers the advantage of learning at your own speed while balancing other commitments. This is particularly beneficial in the fast-evolving field of Computer Science, where staying current is key.
If affordability is a priority, many reputable schools provide some of the online affordable master's programs. These offer advanced knowledge and skills without the high price tag, opening doors to leadership roles and specialized career paths in tech.
For those just starting out or seeking a quicker credential, exploring the easiest associate degree to get can be a strategic choice. Associate degrees provide foundational skills and can lead directly to entry-level positions or serve as a stepping stone to a bachelor's.
Choosing to study through the most respected online university ensures the quality and recognition of your degree, an important factor when pursuing competitive careers or advanced education within the Computer Science industry.
