Vienna , Austria
Submission Deadline: Sunday 18 Jun 2023
Conference Dates: Oct 29, 2023 - Nov 01, 2023
The scientific interests tackled in the conference are Optoelectronics, Electronic engineering, Electrical engineering, Optics and Analytical chemistry. The event dives deep in exploring the relationship between the study of Optoelectronics and Electrode. Many of the studies tackled connect Electrode with a similar field of study like Nanotechnology.
The concepts on Electronic engineering presented in the event can also apply to other research fields, including Acoustics, Wireless sensor network, Signal and Wireless. The Wireless sensor network works featured in it incorporate elements from Key distribution in wireless sensor networks and Real-time computing. CMOS, Capacitive sensing and Voltage are all aspects of Electrical engineering discussed in the conference.
Studies on Capacitive sensing discussed in IEEE Sensors link to the field of Capacitance. IEEE Sensors concentrated on Optics research, specifically Optical fiber and Fiber optic sensor.
The conference papers investigate areas of study like Electronic engineering, Electrical engineering, Optoelectronics, Wireless sensor network and Acoustics. The published papers focus on Electronic engineering research which is adjacent to topics in Signal. The studies on Optoelectronics discussed at the published articles can also contribute to research in the domains of Nanotechnology, Electrode and Analytical chemistry.
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 Sensors (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 Sensors (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 2017 edition, 6.06% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 16.04% were posted by at least one author from the top 10 institutions publishing at the conference. Another 8.81% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 17.92% of all publications and 57.23% 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.
IEEE SENSORS 2023
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