| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Electronics and Electrical Engineering | 166 | 63 | 94 | 21 |
Optics and Lasers in Engineering tackles a plethora of topics, such as Optics, Laser, Artificial intelligence, Computer vision and Interferometry. Research on Optics addressed in Optics and Lasers in Engineering frequently intersections with the field of Phase (waves). The overlapping concepts between Algorithm and Encryption are the key highlights of Phase (waves) study.
Optics and Lasers in Engineering addresses concerns in Laser which are intertwined with other disciplines, such as Optoelectronics and Composite material. Microstructure is a focus of the presented Composite material works and it dives deep in Microstructure. Digital image correlation and Pattern recognition are some topics wherein Artificial intelligence research discussed in it have an impact.
Many of the studies tackled connect Digital image correlation with a similar field of study like Displacement (vector). The in-depth study on Computer vision also explores topics in the intersecting field of Calibration. Electronic speckle pattern interferometry and Speckle imaging are all aspects of Speckle pattern discussed in it.
The most cited publications investigate studies in Optics, Artificial intelligence, Laser, Computer vision and Algorithm. The journal papers address concerns in Optics which are intertwined with other disciplines, such as Phase (waves), Displacement (vector) and Fourier transform. The journal publications explore topics in Laser which can be helpful for research in disciplines like Optoelectronics and Composite material.
The topics of Optics, Artificial intelligence, Computer vision, Laser and Algorithm are the focal point of discussions in Optics and Lasers in Engineering. Discussions in the journal are anchored in the subject of Optics and the similar topic of Phase (waves). Artificial intelligence research featured in it incorporates concerns from various other topics such as Computation and Detector.
The concepts on Computer vision presented in it can also apply to other research fields, including Calibration and Digital image correlation. Laser research presented in it encompasses a variety of subjects, including Optoelectronics, Ultrasonic sensor and Signal. Optics and Lasers in Engineering focused on Algorithm research but expanded to cover Encryption.
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 Optics and Lasers in Engineering (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 Optics and Lasers in Engineering (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, 10.96% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 38.46% were posted by at least one author from the top 10 institutions publishing in the journal. Another 12.31% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 16.92% of all publications and 32.31% 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.
Ignazio Floris;Jose M. Adam;Pedro A. Calderón;Salvador Sales
(2021)Ying-Qian Zhang;Yi He;Pi Li;Xing-Yuan Wang
(2020)Xingyuan Wang;Yanpei Li
(2021)Haofeng Hu;Haofeng Hu;Yanbin Zhang;Yanbin Zhang;Xiaobo Li;Xiaobo Li;Yang Lin;Yang Lin
(2020)Wenjie Zhou;Xingyuan Wang;Mingxu Wang;Dongyan Li
(2022)Mohamed Amine Midoun;Xingyuan Wang;Xingyuan Wang;Mohamed Zakariya Talhaoui
(2021)Yongjin Xian;Xingyuan Wang;Xiaopeng Yan;Qi Li
(2020)Heng Wu;Heng Wu;Heng Wu;Ruizhou Wang;Ruizhou Wang;Genping Zhao;Huapan Xiao
(2020)Xiaolin Ye;Xingyuan Wang;Suo Gao;Jun Mou
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