0169-2607
Published by: Elsevier
https://www.journals.elsevier.com/computer-methods-and-programs-in-biomedicine
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 71 | 299 | 383 | 50 |
The primary areas of discussion in Computer Methods and Programs in Biomedicine are Artificial intelligence, Pattern recognition, Computer vision, Segmentation and Machine learning. Deep learning, Convolutional neural network, Support vector machine, Image processing and Artificial neural network are all aspects of Artificial intelligence discussed in the journal. It focuses on Pattern recognition research which is adjacent to topics in Feature (computer vision).
Segmentation research is concerned with Image segmentation in particular.
The most cited papers primarily tackle Artificial intelligence, Pattern recognition, Computer vision, Machine learning and Segmentation. Speech recognition and Electroencephalography are some topics wherein Pattern recognition research discussed in the most cited papers has an impact. The journal papers explore issues in Computer vision which can be linked to other research areas like Diabetic retinopathy and Retinal, Fundus (eye).
Computer Methods and Programs in Biomedicine mainly tackles studies in Artificial intelligence, Pattern recognition, Deep learning, Convolutional neural network and Segmentation. It investigates Artificial intelligence research which frequently intersects with Machine learning. Some problems in Pattern recognition that were presented in it overlapped with concepts under Cluster analysis, Residual, Robustness (computer science) and Sensitivity (control systems).
The research on Deep learning discussed in Computer Methods and Programs in Biomedicine draws on the closely related field of Transfer of learning. The journal focuses on Segmentation but the discussions also offer insight into other areas such as Similarity (geometry) and Hausdorff distance.
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 Computer Methods and Programs in Biomedicine (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 Computer Methods and Programs in Biomedicine (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, 6.60% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 8.59% were posted by at least one author from the top 10 institutions publishing in the journal. Another 4.39% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 8.59% of all publications and 78.44% 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.
In the dynamic field of Biomedical and Computer Programs in Biomedicine, numerous opportunities are available for professionals and students who aspire to contribute significantly in this realm. Those with an interest in art, technology, and education, for instance, may explore a career as an elementary art teacher. You can learn more on {how to become an elementary art teacher in Mississippi}. For individuals who are enthusiastic about Artificial Intelligence, Machine Learning, and other focus areas of the journal, there are plenty of professional directions worth considering. Whether as a researcher, a biomedical engineer, or a data scientist, there is vast potential for career growth and the possibility to contribute valuable work in this field that may be recognized and cited worldwide. It's relevant to note that your academic and career choices could also potentially impact the aspects and depth of research conducted in the field. For instance, publications from different universities and institutions globally can contribute to the diversity and breadth of the research, enhancing the quality and range of information available to the global audience and other researchers. While there are numerous paths to take in this field, those that align your professional interests with a strong drive for innovation and development could lead to making a significant impact in the world of Biomedical and Computer Programmes research.
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