1557-3958
Published by: IGI Global Publishing
https://www.igi-global.com/journal/international-journal-cognitive-informatics-natural/1095
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 1010 | 7 | 7 | 3 |
Artificial intelligence, Cognition, Cognitive science, Pattern recognition and Machine learning are the subjects of interest in the journal. The research on Artificial intelligence featured in the journal combines topics in other fields like Computer vision and Natural language processing. International Journal of Cognitive Informatics and Natural Intelligence holds forums on Cognition that merges themes from other disciplines such as Cognitive psychology and Set (psychology).
It addresses concerns in Cognitive science which are intertwined with other disciplines, such as Human intelligence and Cognitive computing. Issues in Cognitive computing were discussed, taking into consideration concepts from other disciplines like Cognitive architecture, Computational intelligence and Cognitive robotics. International Journal of Cognitive Informatics and Natural Intelligence dives deep in exploring the relationship between the study of Cognitive robotics and LIDA.
The study on Pattern recognition presented is investigated in conjunction with research in Feature (computer vision).
The journal papers tackle a plethora of topics, such as Artificial intelligence, Cognitive science, Theoretical computer science, Cognitive computing and Cognition. Issues in Artificial intelligence were discussed in the published articles, taking into consideration concepts from other disciplines like Structure (mathematical logic), Causal inference and Autonomic computing. The journal articles explore topics in Cognition which can be helpful for research in disciplines like Process calculus, Mechanism (biology) and Set (psychology).
International Journal of Cognitive Informatics and Natural Intelligence focuses on Artificial intelligence, Pattern recognition, Human–computer interaction, Algorithm and Natural language processing. Topics in Artificial intelligence explored in International Journal of Cognitive Informatics and Natural Intelligence were investigated in conjunction with research in Machine learning and Computer vision. The Recognition algorithm and Feature selection studies presented in it fall under the field of Pattern recognition, but it also has connections to other fields such as Multiple sequence alignment and Gene expression.
The journal addresses concerns in the field of Human–computer interaction by exploring it in line with topics in Cognition which intersect with Information retrieval subjects. International Journal of Cognitive Informatics and Natural Intelligence explores issues in Algorithm which can be linked to other research areas like Radial basis function network, Hilbert–Huang transform, Cluster (spacecraft) and Encoding (memory). Natural language processing research in International Journal of Cognitive Informatics and Natural Intelligence involves the investigation of Deep learning studies, all of which are linked to disciplines such as Hindi, Parsing, Schema (genetic algorithms) and Knowledge representation and reasoning.
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 Cognitive Informatics and Natural Intelligence (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 Cognitive Informatics and Natural Intelligence (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, 9.09% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 6.00% were posted by at least one author from the top 10 institutions publishing in the journal. Another 0.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 18.00% of all publications and 76.00% 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.
A key aspect the article misses to discuss is the pathways for interested researchers, particularly educators in related fields, to participate in the research published in the International Journal of Cognitive Informatics and Natural Intelligence. To engage effectively in the research presented, interested educators will need to develop substantial knowledge and practical skills in their respective fields. For instance, prospective history teachers who are intrigued by the application of cognitive informatics and natural intelligence in analyzing historical data may consider becoming active participants in this research field. It may take quite some time to build a research career in this interdisciplinary field. For instance, a research career in the state of Louisiana would usually start with basic formal education, which can range from four to five years depending on the program and the individual's speed of learning. This is followed by acquiring necessary training and practical experiences. If you are an aspiring educator in Louisiana, you may find this guide useful: how long does it take to become a teacher in louisiana. This will provide you with insights into the timeline it takes to get the necessary education and credentials in Louisiana. After acquiring a solid educational foundation, you can then proceed to dedicated research training where you can further develop your skills in Cognitive Informatics and Natural Intelligence. This may involve enrolling in further studies, such as a Master's or Doctorate degree, or taking up specialized training programs that will hone your research skills. In conclusion, becoming involved and staying up-to-date with the research published in the International Journal of Cognitive Informatics and Natural Intelligence can be a lifetime commitment that starts with acquiring the necessary education and continues with constant learning and active participation in the academic and research community.
Jun Peng;Shangzhu Jin;Shaoning Pang;Du Zhang
(2021)Mamata Rath;Joel J. P. C. Rodrigues;George S. Oreku
(2021)Ting Wang;Wing W. Y. Ng;Wendi Li;Sam Kwong
(2021)Aswani Kumar Cherukuri;Radhika Shivhare;Ajith Abraham;Jinhai Li
(2021)Ying Liu;Du Jiang;Yibo Liu;Juntong Yun
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