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Published by: University of Malaya
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 777 | 16 | 26 | 6 |
The journal focuses on Artificial intelligence, Computer network, Algorithm, Software engineering and Artificial neural network. In the journal, Natural language processing, Machine learning, Computer vision and Pattern recognition are investigated in conjunction with one another to address concerns in Artificial intelligence research. The journal focused on Machine learning research but expanded to cover Data mining.
The work on Computer network tackled in Malaysian Journal of Computer Science brings together disciplines like Real-time computing and Distributed computing. Issues in Software engineering were discussed, taking into consideration concepts from other disciplines like Personal software process and Software development. Software construction and Software development process are all aspects of Software development discussed in it.
The journal publications focus on Artificial intelligence, Computer vision, Machine learning, Pattern recognition and Fuzzy logic. The most cited papers tackle research in various disciplines, including Artificial intelligence and Location map. The published articles about Support vector machine and Decision tree are all disciplines of Machine learning that connect with topics in Outcome (game theory).
The journal generally zeroes in on subjects such as Artificial intelligence, Social media, Benchmark (computing), Data mining and Pattern recognition. The study on Artificial intelligence presented in it intersects with subjects under the field of Natural language processing. Topics in Social media were tackled in line with various other fields like Test (assessment), Big Five personality traits, Personality, Personality psychology and Icon.
It focuses on Benchmark (computing) but the discussions also offer insight into other areas such as Dimension (vector space), Convergence (routing), Optimization algorithm and Ranking. The journal facilitates discussions on Data mining that incorporate concepts from other fields like Similarity (geometry), Operator (computer programming), Measure (mathematics), Set (abstract data type) and Heuristic. Malaysian Journal of Computer Science holds forums on Pattern recognition that merges themes from other disciplines such as Image (mathematics) and Distortion.
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 Malaysian Journal of Computer Science (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 Malaysian Journal of Computer Science (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, 13.33% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 61.54% 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 38.46% 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.
Contribution to this esteemed journal is open to both new and seasoned researchers. If your area of expertise aligns with the topics and disciplines discussed in the journal, you are welcome to submit your research. Please commit to following all the ethical guidelines of research and writing to maintain the standard of the journal’s publications. If you are a novice researcher or intrigued by computer science and related disciplines and considering an academic career, knowing the educational standards and requirements in your area could be helpful. For example, if you are based in Oklahoma and interested in teaching, you will need to understand the private school teacher requirements Oklahoma. In this way, you will not only be prepared to teach and inspire young learners, but you will also have the qualifications to conduct and publish research in your field. Keep in mind that the publishing process is rigorous to ensure only quality research is put forth. The support of a mentor or a more experienced colleague can be beneficial in guiding you through this process. Continuous learning and development are critical in the research field, so be prepared to evolve as the field does. With dedication and the right qualifications, you will soon be contributing to the discourse in your area of interest through research and publication.
E. Laxmi Lydia;G. Jose Moses;Vijayakumar Varadarajan;Fredi Nonyelu
(2020)S B Mallikarjuna;Palaiahnakote Shivakumara;Vijeta Khare;Vinay Kumar N
(2021)Maw Maw;Vimala Balakrishnan;Omer Rana;Sri Devi Ravana
(2020)R. Joshua Samuel Raj;M. Viju Prakash;T. Prince;K. Shankar
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