| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 406 | 28 | 62 | 15 |
| Biology and Biochemistry | 738 | 13 | 19 | 6 |
The journal mainly deals with areas of study such as Computational biology, Artificial intelligence, Pattern recognition, Genetics and Gene. Current Bioinformatics explores issues in Computational biology which can be linked to other research areas like microRNA, Identification (biology) and Bioinformatics. The work tackled in it goes beyond the discipline of Artificial intelligence as it also encompasses Machine learning.
Genome is a primary topic of Genetics research in it.
The published articles mainly deal with areas of study such as Computational biology, Artificial intelligence, Data mining, Machine learning and Genetics. The published papers focus on Computational biology but the discussions also offer insight into other areas such as Identification (biology), Whole genome sequencing, Protein–protein interaction prediction, Sequence (medicine) and DNA sequencing. The journal papers address concerns in Artificial intelligence which are intertwined with other disciplines, such as Hydroxyproline, Cancer and Pattern recognition.
The journal is organized to address concerns in the fields of Computational biology, Artificial intelligence, Identification (biology), Cancer research and Pattern recognition. Topics in Computational biology were tackled in line with various other fields like Cancer and Sequence (medicine), microRNA, Gene, Protein protein interaction network. It focuses on Artificial intelligence research which is adjacent to topics in Machine learning.
It dives deep in exploring the relationship between the study of Identification (biology) and Key (cryptography). The work on Cancer research addressed in Current Bioinformatics expands to the thematically related Colorectal cancer. Pattern recognition research is the primary subject tackled in it with a focus on Feature selection.
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 Current Bioinformatics (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 Current Bioinformatics (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, 4.68% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 20.86% were posted by at least one author from the top 10 institutions publishing in the journal. Another 10.43% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 19.02% of all publications and 49.69% 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.
Yi Zou;Hongjie Wu;Xiaoyi Guo;Li Peng
(2021)Ying Yang;Lei Chen
(2021)Saba Amanat;Adeel Ashraf;Waqar Hussain;Nouman Rasool
(2020)Sheraz Naseer;Waqar Hussain;Yaser Daanial Khan;Nouman Rasool
(2021)Muhammad Awais;Waqar Hussain;Nouman Rasool;Yaser Daanial Khan
(2021)Yaser Daanial Khan;Ebraheem Alzahrani;Wajdi Alghamdi;Malik Zaka Ullah
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