| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 1121 | 7 | 9 | 1 |
The scientific interests tackled in International Journal of Bioinformatics Research and Applications are Artificial intelligence, Computational biology, Genetics, Data mining and Pattern recognition. The research on Artificial intelligence tackled can also make contributions to studies in the areas of Machine learning and Computer vision. Most of the works presented in International Journal of Bioinformatics Research and Applications deals with Machine learning but it intersects with the subject of Algorithm.
Topics in Computational biology were tackled in line with various other fields like Bioinformatics and Protein–protein interaction. It facilitated presentations on Genetics research, particularly Genome, Gene and Single-nucleotide polymorphism. The work on Gene presented in it focuses on Gene expression in particular.
The research on Data mining featured in the journal combines topics in other fields like Microarray analysis techniques, DNA microarray, Cluster analysis and Gene expression profiling. Feature extraction is a major topic of Pattern recognition research.
The journal articles cover a variety of subjects, including Data mining, Computational biology, Algorithm, Cluster analysis and Artificial intelligence. Genetics, Immune system, Protein tertiary structure and De novo protein structure prediction are some topics wherein Computational biology research discussed in the journal papers has an impact. The published papers tackle research in Pattern recognition (psychology), Motion (physics) and Gesture recognition as part of the general discipline of Artificial intelligence, however, they also discuss concepts in American Sign Language.
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 International Journal of Bioinformatics Research and Applications (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 International Journal of Bioinformatics Research and Applications (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 2022 edition, 100.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, nan% were posted by at least one author from the top 10 institutions publishing in the journal. Another nan% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included nan% of all publications and nan% 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.
If you're intrigued by the topics covered in the International Journal of Bioinformatics Research and Applications, you may be interested in pursuing a career in related fields. Opportunities abound in areas such as Artificial Intelligence, Computational Biology, Genetics, and Data Mining. These fields are growing rapidly with ever-increasing demand for trained professionals. Whether it's developing algorithms for machine learning or studying complex protein interactions, there's a broad spectrum of career paths available.
Many professionals in these fields start their journey in education, learning the essentials in classrooms or research laboratories. For instance, being a middle school math teacher may provide a firm foundational understanding of the quantitative skills required in these fields. If you're interested in this pathway, you can learn more about how to become a middle school math teacher in North Carolina.
In conclusion, if your passion for research and analytical thinking aligns with the diverse subjects explored in the International Journal of Bioinformatics Research and Applications, exploring career possibilities in these disciplines could lead you towards a fulfilling and impactful profession.
Shigang Liu;Jun Zhang;Yang Xiang;Wanlei Zhou
(2020)Gaurav Gupta;Neha Gupta;Ankit Gupta;Pankaj Vaidya
(2021)Mitul Kumar Ahirwal;Anil Kumar;Girish Kumar Singh
(2020)For students interested in diversifying their skill set beyond computer science, there are several compelling online degree options that complement this field. Exploring an online mechanical engineering degrees program can open doors to careers involving hardware design and robotics, bridging software and physical systems.
Physics represents another foundational discipline closely linked to computer science, especially in areas like computational simulation and quantum computing. Many learners consider pursuing an online bachelor's degree in physics to deepen their understanding of scientific principles used in tech innovation.
With data becoming a central asset in today's economy, knowledge of analytics and statistical programming is crucial. Identifying what is the cheapest data science course in the US? allows aspiring professionals to gain valuable insights without overwhelming financial barriers.
Additionally, advancing into hardware-oriented roles can be supported by earning an online bachelor’s in electrical engineering. This degree is ideal for those looking to work in fields like embedded systems, communications, and power technologies.
Choosing related online degrees can greatly enhance career flexibility and offer interdisciplinary opportunities, making them excellent pathways alongside a core computer science education.