1476-9271
Published by: Elsevier
https://www.journals.elsevier.com/computational-biology-and-chemistry
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Biology and Biochemistry | 551 | 24 | 30 | 11 |
| Chemistry | 591 | 33 | 43 | 13 |
The primary areas of discussion in the journal are Computational biology, Genetics, Algorithm, Artificial intelligence and Gene. The study on Computational biology presented is investigated in conjunction with research in In silico. Research in the field of Biochemistry was used to conduct the presented In silico study.
The majority of Genetics studies are focused on the issues of Genome. In it, Machine learning, Data mining and Pattern recognition are investigated in conjunction with one another to address concerns in Artificial intelligence research.
The most cited publications facilitate discussions on Artificial intelligence, Genetics, Algorithm, Data mining and Gene. The studies on Artificial intelligence discussed at the journal articles can also contribute to research in the domains of Machine learning and Pattern recognition. Many of the studies tackled in the journal papers connect Genetics with a similar field of study like Computational biology.
The journal mainly deals with areas of study such as Computational biology, Artificial intelligence, Gene, Machine learning and In silico. While the primary focus in Computational Biology and Chemistry is Computational biology, it also dissects topics surrounding Virtual screening and Pharmacophore as a whole. Discussions in Computational Biology and Chemistry are anchored in the subject of Artificial intelligence and the similar topic of Pattern recognition.
The study of Gene, which falls within the realm of Genetics, was the main focus of the presentations. Mutation and Genome are all aspects of Genetics discussed in Computational Biology and Chemistry. While work presented in the journal provided substantial information on Machine learning, it also covered topics in Field (computer science) and Benchmark (computing).
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 Computational Biology and Chemistry (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 Computational Biology and Chemistry (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, 2.27% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 3.10% were posted by at least one author from the top 10 institutions publishing in the journal. Another 1.55% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 7.75% of all publications and 87.60% 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.
With the escalating interest and advancements in the computational biology and chemistry fields, numerous career prospects have also evolved. Particularly, for those who have a natural inclination towards health and wellness, becoming a certified nutritionist can be an exciting path. As a nutritionist, one can utilise the knowledge of genetics, artificial intelligence and data mining to develop personalised nutrition plans and understand the genetic basis of nutrition-related diseases.
The journey towards becoming a certified nutritionist involves a series of academic and professional steps. For those who are seeking information specifically related to Montana, here is an informative guide on how to become a certified nutritionist in Montana.
The computational biology and chemistry fields take pride in allowing professionals to branch out and explore a myriad of career opportunities. Whether it is working in genomic research, drug discovery, molecular modeling, or as a nutritionist, there are abundant rewarding paths to consider and make a significant contribution to scientific progress.
Abir Sagaama;Olfa Noureddine;Silvia Antonia Brandán;Anna Jarczyk Jędryka
(2020)Takoua Ben Issa;Abir Sagaama;Noureddine Issaoui
(2020)Abir Sagaama;Noureddine Issaoui
(2020)Zhe Jin;Ying Wang;Xiao-Fei Yu;Qi-Qi Tan
(2020)Akın Akıncıoğlu;Süleyman Göksu;Ali Naderi;Hülya Akıncıoğlu
(2021)For students interested in broadening their expertise beyond traditional Computer Science, related fields offer exciting career opportunities. One such path is pursuing an artificial intelligence degree salary can be highly competitive, reflecting the demand for skills in automation, machine learning, and data science across industries.
If you are drawn to sustainability and technology, exploring degrees like environmental engineering can complement your computing knowledge. Several environmental engineering schools online offer flexible programs that blend engineering principles with environmental science, preparing students for roles in green technology and resource management.
An accelerated cs degree is another route for those wanting to fast-track their education and enter the workforce sooner without sacrificing quality. These programs focus on core skills and emerging technologies, making them ideal for career changers or self-motivated learners.
Furthermore, studying interdisciplinary fields such as environmental science opens doors to diverse careers. Understanding what jobs can you get with an environmental science degree highlights the variety of roles available, from conservation to policy-making, often enhanced by a foundation in computational skills.
