| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Electronics and Electrical Engineering | 4 | 616 | 1451 | 98 |
| Computer Science | 5 | 850 | 1679 | 121 |
| Engineering and Technology | 41 | 195 | 368 | 61 |
The main points discussed in the journal deals with Control theory, Artificial intelligence, Distributed computing, Computer network and Real-time computing. Control theory research presented in the journal encompasses a variety of subjects, including Control engineering and Voltage. The concepts on Artificial intelligence presented in it can also apply to other research fields, including Machine learning, Computer vision and Pattern recognition.
While work presented in it provided substantial information on Distributed computing, it also covered topics in Scheduling (computing), Cloud computing and Smart grid. The main emphasis of it is the research on Computer network, emphasizing the topic of Wireless sensor network. The work tackled in it goes beyond the discipline of Wireless sensor network as it also encompasses Key distribution in wireless sensor networks.
The most cited articles are organized to address concerns in the fields of Control theory, Distributed computing, Artificial intelligence, Computer network and Control engineering. The most cited papers explore research in Electronic engineering and overlapping concepts in Voltage to expand the discourse in Control theory. The published articles focus on Artificial intelligence but the discussions also offer insight into other areas such as Machine learning and Pattern recognition.
The journal focuses largely on the fields of Control theory, Distributed computing, Smart meter, Artificial neural network and Data modeling. The research on Control theory discussed in it draws on the closely related field of Wind power. Distributed generation, Service (systems architecture), Energy consumption, Enhanced Data Rates for GSM Evolution and Cloud computing are some topics wherein Distributed computing research discussed in it have an impact.
Issues in Artificial neural network were discussed, taking into consideration concepts from other disciplines like Arc-fault circuit interrupter, Fault detection and isolation, Real-time computing, Feature extraction and Arc (geometry). The studies on Data modeling discussed can also contribute to research in the domains of Server and Upload. The Smart grid research presented in the journal explores the relationship between Electricity and the closely related topic of 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 Transactions on Industrial Informatics (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 Industrial Informatics (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 2022 edition, 0.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 28.57% were posted by at least one author from the top 10 institutions publishing in the journal. Another 11.43% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 14.29% of all publications and 45.71% 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.
For readers who are interested in pursuing a career in any of the disciplines under the research topics addressed in the IEEE Transactions on Industrial Informatics journal, it may be necessary to acquire specific educational qualifications and credentials. For instance, individuals looking to become educators in these fields may need a teaching credential.
However, the process of obtaining a teaching credential can be expensive in certain locations. Therefore, it's beneficial to explore the cheapest options available. For those interested in teaching in Florida, you can find extensive information on the most affordable ways to obtain a teaching credential in the state by visiting this teaching certificate in florida page. This resource provides detailed information on the requirements, processes, and cost-effective programs for gaining a teaching certificate in Florida.
This information can be essential for pursuing a career in teaching or research in Industrial Informatics and related fields, aiding in career development and advancement. With the right credentials and qualifications, professionals in this industry can further contribute to the field, applying their knowledge to educate others and advance research for the benefit of the industry.
Minghang Zhao;Shisheng Zhong;Xuyun Fu;Baoping Tang
(2020)Yunlong Lu;Xiaohong Huang;Yueyue Dai;Sabita Maharjan
(2020)Ye Liu;Xiaoyuan Ma;Lei Shu;Gerhard Petrus Hancke
(2021)Zhouhua Peng;Jun Wang;Dan Wang;Qing-Long Han
(2021)Lei Ren;Jiabao Dong;Xiaokang Wang;Zihao Meng
(2021)Meng Hao;Hongwei Li;Xizhao Luo;Guowen Xu
(2020)Xiaofeng Yuan;Lin Li;Yalin Wang
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