Published by: Institute of Electronics and Information Engineers
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 908 | 10 | 18 | 4 |
IEIE Transactions on Smart Processing and Computing primarily tackles Artificial intelligence, Computer vision, Pattern recognition, Algorithm and Computer network. Studies on Artificial intelligence discussed in it link to the field of Machine learning. The works on Computer vision deal in particular with Pixel.
IEIE Transactions on Smart Processing and Computing connects research in Algorithm with the related topic of Coding (social sciences).
The published papers are organized to address concerns in the fields of Computer vision, Artificial intelligence, Computer network, Pattern recognition (psychology) and Wireless network. The published articles facilitate discussions in Gesture recognition as part of the larger field of Computer vision, however, they also tackle fields such as Kinematics. The Artificial intelligence study tackled in the journal articles is a key component of adjacent topics in the area of Testbed.
The journal focuses on Artificial intelligence, Convolutional neural network, Deep learning, Computer vision and Pattern recognition. It focuses on Artificial intelligence as well as the interrelated topic of Machine learning. Topics in Convolutional neural network were tackled in line with various other fields like Information fusion, Optimal design, Authentication and Multispectral image.
The concepts on Deep learning presented in it can also apply to other research fields, including End-to-end principle, Android malware, Operating system and Code (cryptography). The studies in Computer vision featured incorporate elements of Humanoid robot and Metadata. While work presented in the journal provided substantial information on Pattern recognition, it also covered topics in Image (mathematics) and Estimation.
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 IEIE Transactions on Smart Processing and Computing (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 IEIE Transactions on Smart Processing and Computing (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, 100.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, nan% were posted by at least one author from the top 10 institutions publishing in the journal. Another nan% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included nan% of all publications and nan% 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.
The primary requirement for an individual wishing to contribute to the IEIE Transactions on Smart Processing and Computing is a well-researched and formatted article on smart processing and computing. Prospective authors must have an in-depth understanding and expertise in artificial intelligence, computer vision, or pattern recognition among other related fields, as these topics make up the bulk of discussions in the journal. Becoming a contributor encompasses more than merely writing a research paper. It also extends to understanding submission policies and guidelines, such as the acceptable formats for manuscript submissions, ethical considerations, and writing style guidelines. Also, authors are generally required to be comfortable with relevant research tools and methodologies in their respective fields. Moreover, aspiring authors might also undertake a formal or informal course in these subjects to enhance their understanding, especially if they are transitioning from a different field. For example, if you are considering becoming a teacher, understanding how to transition into a teaching career, such as learning {how long does it take to become a teacher in New Hampshire} could be useful. Those looking to garner a better understanding of how to write for a research journal may consider taking up a course or seeking mentorship from an experienced author. They may also consider volunteering as a peer reviewer to gain insights into some of the most common issues researchers deal with when drafting their articles for publication. Lastly, perseverance and patience are key traits for succeeding as a contributor. Submitting a paper for publication can be an extended process, and there is a possibility of rejections and revisions. Authors must be prepared to take feedback, make the necessary improvements, and continue pushing towards their research goals.
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