| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 858 | 9 | 10 | 5 |
The discussions in International Journal of Computers and Applications mainly cover the fields of Artificial intelligence, Computer network, Algorithm, Distributed computing and Computer vision. Machine learning and Pattern recognition are some topics wherein Artificial intelligence research discussed in it have an impact. Wireless sensor network, Network packet and Quality of service are all aspects of Computer network discussed in it.
The most cited articles focus on World Wide Web, Computer network, Artificial intelligence, Computer security and Algorithm. The most cited publications address concerns in Computer network which are intertwined with other disciplines, such as Iot architecture and Transmitter. The studies on Algorithm discussed at the journal articles can also contribute to research in the domains of CURE data clustering algorithm, CPU time and Canopy clustering algorithm.
The journal mostly deals with topics like Artificial intelligence, Computer network, Computer vision, The Internet and Data mining. The journal explores topics in Artificial intelligence which can be helpful for research in disciplines like Field (computer science), Machine learning and Pattern recognition. The work on Computer network tackled in International Journal of Computers and Applications brings together disciplines like Wireless and Big data.
The Computer vision works, particularly on Image (mathematics) are tackled in International Journal of Computers and Applications. Data mining research featured in the journal incorporates concerns from various other topics such as Key (cryptography) and Cluster analysis.
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 Computers 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 Computers 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, 16.92% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 10.19% were posted by at least one author from the top 10 institutions publishing in the journal. Another 1.85% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 11.11% of all publications and 76.85% 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.
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(2020)Lei Wang;Lei Wang;Shanlin Yang;Aizhu Zhou;Rongjing Huang
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