Location: Guadalupe , Mexico
Submission deadline: 7/19/2019
Conference dates: 12/15/2019 - 12/18/2019
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Electronics and Electrical Engineering | 584 | 29 | 39 | 3 |
The scientific conference ranking featured on this page presents a comprehensive evaluation of events within the field of Engineering and Technology. Developed by Research.com, a distinguished authority in science research analytics across all major disciplines, this ranking leverages trusted data on scientific contributions accumulated since 2014.
Each conference’s position in the ranking is determined using a unique bibliometric score, meticulously devised by Research.com, which integrates both the estimated h-index and the number of preeminent scientists who have contributed to the conference over the prior three years. This methodology ensures that only conferences demonstrating sustained influence and significant scholarly engagement are highlighted.
The ranking includes the most current Impact Score values, which were collated as of 2024-11-27. The evaluation process involved a thorough review of more than 2,262 conferences, each selected after a detailed and systematic assessment. This rigorous process included the analysis of over 26,934 scientific publications produced within the last three years by 9,385 leading and widely recognized researchers in Engineering and Technology.
This ranking stands as a testament to the intricate research, expert analysis, and methodological rigor that underpin every stage of its development. For comprehensive information regarding the methodology used to calculate the ranking scores, please visit our Methodology Page.
A key indicator for each conference 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 at IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (based on the number of publications) are:
The overall trend for top authors publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top authors.
Only papers with recognized affiliations are considered
The top affiliations publishing at IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (based on the number of publications) are:
The overall trend for top affiliations publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top affiliations.
The publication chance index shows the ratio of articles published by the best research institutions at the conference edition to all articles published within that conference. The best research institutions were selected based on the largest number of articles published during all editions of the conference.
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 2019 edition, 3.55% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 25.00% were posted by at least one author from the top 10 institutions publishing at the conference. Another 11.76% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 24.26% of all publications and 38.97% were from other institutions.
A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of conferences they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same conference 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 conference 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 at a conference. The index includes the authors publishing at the last edition of a conference, 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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By leveraging these online educational pathways, aspiring engineers can efficiently tailor their learning to fit personal goals and career demands in the dynamic field of Electronics and Electrical Engineering.
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