| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Electronics and Electrical Engineering | 49 | 512 | 1146 | 48 |
| Engineering and Technology | 89 | 252 | 654 | 46 |
The journal tackles a plethora of topics, such as Electronic engineering, Electrical engineering, Optics, Artificial intelligence and Control theory. The journal explores issues in Electronic engineering which can be linked to other research areas like Acoustics, Signal, Signal processing, Algorithm and Calibration. IEEE Transactions on Instrumentation and Measurement focuses on Electrical engineering but the discussions also offer insight into other areas such as Capacitance and Optoelectronics.
Laser is a focus of the presented Optics works and it dives deep in Laser. Artificial intelligence research featured in the journal incorporates concerns from various other topics such as Computer vision and Pattern recognition. Nonlinear system is a major topic of Control theory research.
The most cited publications primarily focus on research topics in Electronic engineering, Artificial intelligence, Electrical engineering, Control theory and Optics. The most cited publications focus on Electronic engineering but the discussions also offer insight into other areas such as Acoustics, Signal, Signal processing, Algorithm and Calibration. While the most cited publications focused on Artificial intelligence, they were also able to explore topics like Computer vision and Pattern recognition.
IEEE Transactions on Instrumentation and Measurement primarily tackles Artificial intelligence, Feature extraction, Algorithm, Pattern recognition and Signal. The in-depth study on Artificial intelligence also explores topics in the intersecting field of Computer vision. In the journal, Data modeling, Data mining, Feature (computer vision), Fault (power engineering) and Robustness (computer science) are investigated in conjunction with one another to address concerns in Feature extraction research.
Many of the studies tackled connect Fault (power engineering) with a similar field of study like Bearing (mechanical). While Algorithm is the focus of the journal, it also provided insights into the studies of Noise measurement and Noise (signal processing). The journal focuses on Signal research which is adjacent to topics in Acoustics.
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 Transactions on Instrumentation and Measurement (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 Transactions on Instrumentation and Measurement (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, 7.99% 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 in the journal. Another 9.01% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 16.77% of all publications and 58.18% 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.
Unknown
(2022)Zechao Wang;Mingyao Liu;Wang-Ji Yan;Han Song
(2021)Qiwu Luo;Xiaoxin Fang;Li Liu;Chunhua Yang
(2020)Siyu Shao;Ruqiang Yan;Yadong Lu;Peng Wang
(2020)Unknown
(2022)Yang Song;Zhigang Liu;Anders Ronnquist;Petter Navik
(2020)Radu-Emil Precup;Teodor-Adrian Teban;Adriana Albu;Alexandra-Bianca Borlea
(2020)Smith K. Khare;Varun Bajaj;U. Rajendra Acharya
(2021)For those interested in expanding their expertise beyond traditional engineering and technology disciplines, a range of online degree programs offer flexible and accelerated options. For example, professionals aiming to enter the construction sector can explore the best online schools for construction management, which provide focused training tailored to project execution and site management.
Meanwhile, leadership roles often require advanced skills in managing people and resources. The 1 year online master's in human resources offers an efficient path for engineers looking to transition into HR roles, emphasizing workforce strategy and organizational development.
Entrepreneurs in the engineering and tech fields can benefit from acquiring business acumen through programs like the one year online mba entrepreneurship. This degree helps professionals develop skills to launch startups or scale technological innovations effectively.
Effective project leadership is another vital skill, and the cheap project management degree online offers an affordable route to gaining credentials and knowledge to manage complex engineering projects successfully.
