| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Electronics and Electrical Engineering | 342 | 31 | 114 | 9 |
| Engineering and Technology | 813 | 25 | 32 | 10 |
The topics of Instrumentation (computer programming), Electrical engineering, Electronic engineering, Telecommunications and Artificial intelligence are the focal point of discussions in the journal. Instrumentation (computer programming) research discussed connects with the study of Systems engineering.
The journal publications are organized to reinforce research efforts on Electronic engineering, Electrical engineering, Wireless sensor network, Embedded system and Instrumentation (computer programming). The published papers address concerns in Electrical engineering which are intertwined with other disciplines, such as Battery (electricity), Energy (signal processing) and Microelectromechanical systems. While Instrumentation (computer programming) is the key highlight in the most cited publications, thet also covered some subjects on System of measurement and Real-time computing.
IEEE Instrumentation & Measurement Magazine primarily focuses on research topics in Artificial intelligence, Optical fiber, Instrumentation (computer programming), Human–computer interaction and Health care. Artificial intelligence research featured in it incorporates concerns from various other topics such as Field (computer science), Machine learning and Computer vision. The studies in Field (computer science) featured incorporate elements of Measurement uncertainty and Medical diagnosis.
While the journal focused on Optical fiber, it was also able to explore topics like Plasmon and Pressure sensor. The Instrumentation (computer programming) study featured in IEEE Instrumentation & Measurement Magazine draws parallels with the field of The Internet. IEEE Instrumentation & Measurement Magazine addresses concerns in Human–computer interaction which are intertwined with other disciplines, such as Robot and Wearable computer.
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 Instrumentation & Measurement Magazine (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 Instrumentation & Measurement Magazine (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, 36.90% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 33.96% were posted by at least one author from the top 10 institutions publishing in the journal. Another 7.55% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 9.43% of all publications and 49.06% 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.
Pedro Jose Bernalte Sanchez;Mayorkinos Papaelias;Fausto Pedro Garcia Marquez
(2020)Pierre Major;Guoyuan Li;Hans Petter Hildre;Houxiang Zhang
(2021)Ali Matin Nazar;Pengcheng Jiao;Qianyun Zhang;King-James I. Egbe
(2021)Salim Lahmiri;Chakib Tadj;Christian Gargour
(2021)Hossein Raeis;Mohammad Kazemi;Shervin Shirmohammadi
(2021)Leonardo Iannucci
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