1083-3668
Published by: SPIE
https://www.spiedigitallibrary.org/journals/journal-of-biomedical-optics?SSO=1
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Physics | 197 | 11 | 23 | 9 |
| Electronics and Electrical Engineering | 348 | 17 | 20 | 9 |
Journal of Biomedical Optics investigates areas of study like Optics, Biomedical engineering, Pathology, Optical coherence tomography and Microscopy. The study on Optics presented in it intersects with the topics under Preclinical imaging. The journal connects the study in Biomedical engineering with the closely related area of Imaging phantom.
It focuses on Pathology research which is adjacent to topics in Cancer. Research on Optical coherence tomography addressed in Journal of Biomedical Optics frequently intersections with the field of Tomography. Topics in Microscopy explored in the journal were investigated in conjunction with research in Confocal microscopy, Biophysics, Fluorescence and Confocal.
While Fluorescence is the focus of the journal, it also provided insights into the studies of Luminescence and Nuclear magnetic resonance. The research on Scattering tackled can also make contributions to studies in the areas of Absorption (electromagnetic radiation), Monte Carlo method and Photon. The in-depth study on Laser also explores topics in the intersecting field of Optoelectronics.
The journal papers focus on Optics, Pathology, Biomedical engineering, Preclinical imaging and Optical coherence tomography. The most cited publications explore research in Pathology alongside concepts in Nuclear magnetic resonance and other areas of study in Near-infrared spectroscopy. The featured Biomedical engineering studies in the most cited papers mainly concentrate on Photoacoustic spectroscopy but also cover areas of interest in Photoacoustic Techniques.
The scientific interests tackled in Journal of Biomedical Optics are Biomedical engineering, Artificial intelligence, Optical coherence tomography, Preclinical imaging and Computer vision. The journal explores topics in Biomedical engineering which can be helpful for research in disciplines like Contrast (vision), Near-infrared spectroscopy, Optical fiber, Terahertz radiation and Tomography. In addition to Artificial intelligence research, the journal aims to explore topics under Machine learning and Pattern recognition.
The Optical coherence tomography research discussed is part of studies in the fields of Radiology and Optics. The subject of Fluorescence-lifetime imaging microscopy, which is connected to the field of Autofluorescence, serves as the foundation of the Preclinical imaging research featured in Journal of Biomedical Optics. In it, Contextual image classification and Convolutional neural network are investigated in conjunction with one another to address concerns in Deep learning research.
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 Journal of Biomedical Optics (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 Journal of Biomedical Optics (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, 1.36% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 19.31% were posted by at least one author from the top 10 institutions publishing in the journal. Another 6.90% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 19.31% of all publications and 54.48% 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.
Stella Corsetti;Kishan Dholakia;Kishan Dholakia;Kishan Dholakia
(2021)Pengfei Hai;Yuan Qu;Yang Li;Yang Li;Liren Zhu;Liren Zhu
(2020)Junjie Yao;Lihong V. Wang
(2021)Amruta Pai;Ashok Veeraraghavan;Ashutosh Sabharwal
(2021)Colin J. R. Sheppard;Colin J. R. Sheppard
(2020)Yun He;Yun He;Junhui Shi;Konstantin I. Maslov;Rui Cao
(2020)Lothar Lilge;Lothar Lilge;Jenny Wu;Yiwen Xu;Angelica Manalac
(2020)Yang Li;Lei Li;Liren Zhu;Liren Zhu;Junhui Shi
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