Published by: Walter de Gruyter
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Engineering and Technology | 1201 | 15 | 53 | 5 |
The journal mostly deals with topics like Artificial intelligence, Biomedical engineering, Computer vision, Internal medicine and Cardiology. Artificial intelligence research discussed connects with the study of Pattern recognition.
The most cited publications primarily focus on research topics in Artificial intelligence, Computer vision, Biomedical engineering, Magnetic nanoparticles and Inertial measurement unit. Artificial intelligence research in the published articles connects with the study of Low dose ct. The journal articles facilitate discussions on Computer vision that incorporate concepts from other fields like Head (vessel) and Virtual reality therapy.
Current Directions in Biomedical Engineering mainly tackles studies in Artificial intelligence, Computer vision, Ultrasound, Convolutional neural network and Deep learning. Current Directions in Biomedical Engineering emphasizes research on Artificial intelligence, which includes concerns such as Robotics. The journal facilitates discussions on Computer vision that incorporate concepts from other fields like Domain (software engineering) and Surgical microscope.
The work on Ultrasound tackled in it brings together disciplines like Fixation (surgical), Screw placement, Orthodontics and Identification (information). Some problems in Deep learning that were presented in the journal overlapped with concepts under Tissue elasticity, Characterization (materials science), Intravascular ultrasound, Optical coherence elastography and Biomedical engineering. The research on Biomedical engineering featured in the journal combines topics in other fields like Elasticity (economics), Optical coherence tomography, Contrast (vision), Tracking (particle physics) and Gelatin.
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 Current Directions in Biomedical 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 Current Directions in Biomedical 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 2021 edition, 5.41% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 71.43% were posted by at least one author from the top 10 institutions publishing in the journal. Another 20.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 5.71% of all publications and 2.86% 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.
Benedikt Szabo;Calogero Gueli;Max Eickenscheidt;Thomas Stieglitz
(2020)Ekaterina Kovacheva;Lukas Baron;Steffen Schuler;Tobias Gerach
(2020)Michael Fink;Stefan J. Rupitsch;Helmut Ermert;Stefan Lyer
(2020)Hannes Oppermann;Felix Wichum;Jens Haueisen;Matthias Klemm
(2020)Claudia Nagel;Nicolas Pilia;Axel Loewe;Olaf Dössel
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