| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 828 | 16 | 20 | 5 |
Journal of Bioinformatics and Computational Biology explores disciplines such as Computational biology, Artificial intelligence, Data mining, Genetics and Gene. Journal of Bioinformatics and Computational Biology connects the study in Computational biology with the closely related area of Sequence analysis. Topics in Artificial intelligence explored in it were investigated in conjunction with research in Machine learning, Gene regulatory network and Pattern recognition.
The journal explores issues in Data mining which can be linked to other research areas like Microarray analysis techniques, Set (abstract data type) and Cluster analysis. The main emphasis of the journal is the research on Genetics, emphasizing the topic of Genome. Gene expression and Regulation of gene expression are Gene topics of special interest in it.
The most cited publications primarily focus on research topics in Artificial intelligence, Data mining, Computational biology, Genetics and Machine learning. The journal articles with studies in Artificial intelligence featured incorporate elements of Natural language processing and Pattern recognition. The studies on Computational biology discussed at the published papers can also contribute to research in the domains of Smith–Waterman algorithm, Sequence alignment and Gene, Sequence analysis, Homology (biology).
The concepts of Computational biology, Artificial intelligence, Genome, Pattern recognition and Deep learning are tackled in Journal of Bioinformatics and Computational Biology. The journal addresses concerns in Computational biology which are intertwined with other disciplines, such as Identification (biology), DNA, Protein–protein interaction, Protein structure and In silico. Artificial intelligence research featured in the journal incorporates concerns from various other topics such as Druggability, Machine learning and Structural motif.
In the journal, Docking (molecular) and Drug are investigated in conjunction with one another to address concerns in Machine learning research. The featured works in Reference genome, which all belong in the domain if Genome, also overlaps with concepts under Reference selection. Residual and Cluster analysis are some topics wherein Pattern recognition research discussed in the journal have an impact.
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 Bioinformatics and Computational Biology (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 Bioinformatics and Computational Biology (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, 26.53% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 0.00% were posted by at least one author from the top 10 institutions publishing in the journal. Another 2.78% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 8.33% of all publications and 88.89% 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.
While academic pursuits within the Journal of Bioinformatics and Computational Biology primarily focus on computational biology, artificial intelligence, data mining, and genetics, the practical applications of these fields open a wide universe of career opportunities for readers and researchers. Particular attention is given to the role of teacher assistants who aim to leverage their expertise in these areas in preschool settings.
Teacher assistant certificate requirements in Illinois are a crucial benchmark for those who wish to transition into educational roles in the state. However, the career transition doesn't stop there. Prospective educators must also ensure their knowledge within bioinformatics and computational biology remains top notch, considering how these fields are constantly evolving. It's essential one adapts to the dynamic nature of these sciences in order to provide the most pertinent and up-to-date educational experiences to aspiring students in this exciting discipline. This often means continuing to study and research even while embarking on an educational career.
Zhen Chen;Zhen Chen;Pei Zhao;Fuyi Li;André Leier
(2020)Ruiyi Li;Jihong Guan;Shuigeng Zhou
(2020)Heng Yao;Jihong Guan;Tianying Liu
(2020)Rui Yin;Yu Zhang;Xinrui Zhou;Chee Keong Kwoh
(2020)Tao Tang;Jinyan Li
(2021)Hong-Dong Li;Yunpei Xu;Xiaoshu Zhu;Xiaoshu Zhu;Quan Liu
(2020)Xueheng Tong;Shuqi Liu;Jiawei Gu;Chunguo Wu
(2021)Exploring advanced education opportunities in computer science can significantly enhance your career prospects. Many students seek the easiest masters programs to get into as a practical first step, allowing them to gain specialized skills without the intense competition. These programs can provide a solid foundation for career advancement or transition.
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