| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 176 | 72 | 154 | 29 |
The journal aims to foster the development of research in Artificial intelligence, Artificial neural network, Pattern recognition, Machine learning and Electroencephalography. Speech recognition and Computer vision are some topics wherein Artificial intelligence research discussed in the journal have an impact. Artificial neural network research presented in it encompasses a variety of subjects, including Algorithm and Control theory.
International Journal of Neural Systems connects the study in Electroencephalography with the closely related area of Epilepsy.
The most cited articles focus on Artificial intelligence, Artificial neural network, Pattern recognition, Electroencephalography and Machine learning. The study of Artificial intelligence in the published papers encompasses disciplines such as Algorithm, as well as fields such as Nonlinear system, all of which overlap with one another. In addition to Artificial neural network research, the published papers aim to explore topics under Generalization and Fuzzy logic.
International Journal of Neural Systems generally zeroes in on subjects such as Artificial intelligence, Electroencephalography, Pattern recognition, Deep learning and Brain–computer interface. The Artificial intelligence research presented in the journal explores the relationship between Machine learning and the closely related topic of Neuroimaging. It tackles studies in Audiology and the interrelated subject of Depression (differential diagnoses) to gain insights into Electroencephalography.
While it focused on Pattern recognition, it was also able to explore topics like Feature (computer vision) and Sensitivity (control systems). The journal explores issues in Brain–computer interface which can be linked to other research areas like Decoding methods, Noise (video) and Speech recognition. The featured Artificial neural network research zeroes in on concepts in Spiking neural network but also tackles themes under Context (language use).
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 Neural Systems (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 Neural Systems (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, 33.87% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 3.66% were posted by at least one author from the top 10 institutions publishing in the journal. Another 6.10% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 25.61% of all publications and 64.63% 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 are drafting your career plan with a focus on the International Journal of Neural Systems, you might be particularly interested in acquiring additional credentials in this field. A cost-effective path towards this goal would be pursuing a teaching credential that fortifies your knowledge base and capacitates you with the skills to contribute to AI and neural system research literature efficiently. An apt suggestion would be, you can look into enrolling in the cheapest teaching credential program in Indiana for a comprehensive and affordable start.
Not only will be gaining a broader understanding of AI, neural networks, and machine learning, but you will also be equipped to explore silent crypts of Pattern recognition, Electroencephalography, and other topics that the International Journal of Neural Systems is renowned for. This way, you draw yourself closer to featuring on this esteemed platform as well.
Pedro Lara-Benítez;Manuel Carranza-García;José C. Riquelme
(2021)Hong Peng;Zeqiong Lv;Bo Li;Xiaohui Luo
(2020)Bo Li;Hong Peng;Xiaohui Luo;Jun Wang
(2021)Ming Zhu;Qiang Yang;Jianping Dong;Gexiang Zhang
(2021)Gexiang Zhang;Haina Rong;Prithwineel Paul;Yangyang He
(2021)Yu Xue;Pengcheng Jiang;Ferrante Neri;Jiayu Liang
(2021)Katerina D. Tzimourta;Katerina D. Tzimourta;Vasileios Christou;Alexandros T. Tzallas;Nikolaos Giannakeas
(2021)John Thomas;Jing Jin;Prasanth Thangavel;Elham Bagheri
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