| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Electronics and Electrical Engineering | 454 | 10 | 12 | 5 |
The journal investigates areas of study like Artificial intelligence, Control theory, Electronic engineering, Software and Computer network. Artificial intelligence research featured in the journal incorporates concerns from various other topics such as Machine learning, Computer vision and Pattern recognition. It facilitates discussions on Control theory that incorporate concepts from other fields like Control engineering and Electric power system.
Discussions in it are anchored in the subject of Computer network and the similar topic of Distributed computing.
The journal publications are organized to address concerns in the fields of Control theory, Artificial intelligence, Control engineering, Electronic engineering and Artificial neural network. Machine learning, Data mining, Computer vision and Pattern recognition are some topics wherein Artificial intelligence research discussed in the published articles has an impact. While work presented in the most cited articles provide substantial information on Electronic engineering, it also covers topics in Electric power transmission and Electric power system.
The scientific interests tackled in the journal are Control theory, Artificial intelligence, Voltage, Artificial neural network and Algorithm. The study on Control theory presented is investigated in conjunction with research in Induction motor. In addition to Artificial intelligence research, it aims to explore topics under Machine learning and Pattern recognition.
The Voltage works featured in IEEE Latin America Transactions incorporate elements from Electronic engineering and Electric power system.
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 IEEE Latin America Transactions (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 IEEE Latin America Transactions (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, 16.54% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 30.84% were posted by at least one author from the top 10 institutions publishing in the journal. Another 14.10% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 21.59% of all publications and 33.48% 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.
Raul Rivas Perez;Vicente Feliu Batlle;Jose Salcedo Hernandez
(2021)Fernando De Souza Savian;Julio Cezar Mairesse Siluk;Tais Bisognin Garlet;Felipe Moraes do Nascimento
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