| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 353 | 83 | 92 | 16 |
| Engineering and Technology | 656 | 31 | 37 | 13 |
| Biology and Biochemistry | 910 | 6 | 6 | 2 |
Medical & Biological Engineering & Computing focuses largely on the fields of Human physiology, Biomedical engineering, Artificial intelligence, Internal medicine and Pattern recognition. Topics in Human physiology explored in it were investigated in conjunction with research in Acoustics, Simulation, Computer Applications, Electronic engineering and Electrical engineering. In it, Electrode and Anatomy are investigated in conjunction with one another to address concerns in Biomedical engineering research.
The studies on Artificial intelligence discussed can also contribute to research in the domains of Speech recognition, Computer vision and Signal processing. Medical & Biological Engineering & Computing explores research in Internal medicine and the adjacent study of Cardiology.
The journal publications investigate studies in Biomedical engineering, Human physiology, Artificial intelligence, Pattern recognition and Electronic engineering. The published articles explore issues in Biomedical engineering which can be linked to other research areas like Anatomy, Stimulation, Electrode, Electrical impedance and Signal. While work presented in the journal articles provide substantial information on Artificial intelligence, it also covers topics in Speech recognition, Signal processing, Computer vision and Electroencephalography.
The topics of Artificial intelligence, Pattern recognition, Support vector machine, Convolutional neural network and Machine learning are the focal point of discussions in the journal. Medical & Biological Engineering & Computing connects research in Artificial intelligence with the related topic of Computer vision. The presented research on Computer vision deals specifically with Kinematics but it also addresses topics in Inertial measurement unit.
Some problems in Pattern recognition that were presented in Medical & Biological Engineering & Computing overlapped with concepts under Robustness (computer science) and Sensitivity (control systems). Medical & Biological Engineering & Computing explores topics in Support vector machine which can be helpful for research in disciplines like Random forest and Feature vector. Medical & Biological Engineering & Computing focuses on Machine learning as well as the interrelated topic of Computer Applications.
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 Medical & Biological Engineering & Computing (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 Medical & Biological Engineering & Computing (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, 2.38% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 4.27% were posted by at least one author from the top 10 institutions publishing in the journal. Another 2.44% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 6.10% of all publications and 87.20% 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 those interested in pursuing a career or gaining further expertise in the fields of Medical & Biological Engineering & Computing, there are several avenues to consider. Postgraduate or doctorate degrees, research fellowships, and professional certifications could help deepen your understanding of these disciplines.
Given the multidisciplinary nature of these fields, it is possible to carve a unique career path tailored to your interests. For instance, if your interest lies in the intersection of Artificial Intelligence and Human Physiology, roles focused on developing AI-driven health diagnostics or AI-assisted medical procedures could be relevant.
Another avenue could be focusing your career around the concepts and techniques involved in Biomedical Engineering, particularly if you have an interest in improving medical equipment or designing innovative medical devices.
Similarly, individuals with a passion for teaching and the desire to inspire the next generation of scientists and engineers may choose to become educators in these emerging fields. If you're considering this route, understanding the necessary qualifications and potential earnings can help you make an informed decision. For example, becoming an elementary school teacher in Washington could be a rewarding path. You can learn more about the state-specific qualifications required and the prospective salary by checking out this comprehensive guide on salaries and requirements for elementary school teachers in Washington.
Regardless of the path chosen, a career in these evolving fields offers not only a rewarding professional journey but also the opportunity to contribute to groundbreaking research and societal betterment.
Mukul Singh;Shrey Bansal;Sakshi Ahuja;Rahul Kumar Dubey
(2021)Ridhi Arora;Prateek Kumar Rai;Balasubramanian Raman
(2020)Meriem Sebai;Xinggang Wang;Tianjiang Wang
(2020)Xiangyu Zhang;Jianqing Li;Zhipeng Cai;Li Zhang
(2021)Mohit Agarwal;Luca Saba;Suneet Kr. Gupta;Amer M. Johri
(2021)Ilaria Patrini;Michela Ruperti;Sara Moccia;Sara Moccia;Leonardo S. Mattos
(2020)Gustavo Perez;Pablo Arbelaez
(2020)Exploring online degrees in Computer Science offers flexibility and affordability, making education more accessible than ever. Many students seek the cheapest self-paced online college options, allowing them to learn at their own speed without compromising quality.
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Ultimately, choosing from the best online degree programs ensures your education is recognized and respected, providing a strong pathway to diverse career opportunities in computing.
