| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 971 | 12 | 11 | 3 |
The journal primarily focuses on research topics in Discrete mathematics, Algebra, Modal logic, Theoretical computer science and Artificial intelligence. The research on Discrete mathematics tackled can also make contributions to studies in the areas of T-norm fuzzy logics and Calculus. Journal of Applied Non-Classical Logics addresses concerns in the field of T-norm fuzzy logics by exploring it in line with topics in Monoidal t-norm logic which intersect with Łukasiewicz logic subjects.
Algebra research featured in Journal of Applied Non-Classical Logics incorporates concerns from various other topics such as Class (set theory), Semantics (computer science), Paraconsistent logic and Kripke semantics. Journal of Applied Non-Classical Logics facilitates discussions on Modal logic that incorporate concepts from other fields like Multimodal logic and Dynamic logic (modal logic). It links adjacent topics like Theoretical computer science with Algorithm.
Mathematical economics and Natural language processing are some topics wherein Artificial intelligence research discussed in Journal of Applied Non-Classical Logics have an impact. It explores research in Many-valued logic alongside concepts in Philosophy of logic and other areas of study in Predicate logic. Intermediate logic research presented in it encompasses a variety of subjects, including Zeroth-order logic, Autoepistemic logic and Intuitionistic logic.
The journal articles focus on Discrete mathematics, Theoretical computer science, Artificial intelligence, Algebra and T-norm fuzzy logics. The most cited articles facilitate discussions on Theoretical computer science that incorporate concepts from other fields like Algorithm, Axiom and Representation (mathematics). The journal papers address concerns in Artificial intelligence which are intertwined with other disciplines, such as Semantics (computer science) and Rotation formalisms in three dimensions.
The concepts of Calculus, Relevance logic, Algebra, Epistemology and Modal logic are tackled in the journal. The work on Calculus tackled in it brings together disciplines like Deduction theorem and Paraconsistent logic. Aside from investigating topics in Transitive relation under Algebra, Journal of Applied Non-Classical Logics also explores concepts in Cluster (physics) and Reflexivity.
Topics in Epistemology explored in Journal of Applied Non-Classical Logics were investigated in conjunction with research in Uncertainty quantification, Space (mathematics) and Interpretation (philosophy). In Journal of Applied Non-Classical Logics, Current (mathematics) and Theoretical computer science are investigated in conjunction with one another to address concerns in Modal logic research.
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 Journal of Applied Non-Classical Logics (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 Journal of Applied Non-Classical Logics (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, 20.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 25.00% were posted by at least one author from the top 10 institutions publishing in the journal. Another 12.50% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 25.00% of all publications and 37.50% 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.
Researchers at the "Journal of Applied Non-Classical Logics" and alike scholarly publications require a strong background in both theoretical and practical aspects of their given fields. They usually hold advanced degrees in Mathematics, Computer Science, or a related discipline. The nature of the work often involves specialized knowledge in Discrete Mathematics, Algebra, Modal Logic, and Artificial Intelligence among others. Acquiring this level of expertise typically starts at the undergraduate level where students take foundational courses in mathematics, programming, and logic. Moreover, students with a strong interest in research often start gaining practical experience at this stage, by participating in research projects or internships. The next step usually involves pursuing a master's degree, where students have the opportunity to delve deeper into their field of interest and engage in extensive research projects. Following the completion of the master's program, many aspiring researchers then go on to a Ph.D. program which is focused heavily on research. During the Ph.D. program, students are expected to make original contributions to their field of study. They work closely with an advisor, conduct independent research, and publish their findings in scholarly journals, such as the "Journal of Applied Non-Classical Logics". Upon earning their doctoral degree, many researchers opt for post-doctoral studies, where they have the opportunity to further specialize in their research and expand their publications. Although this is a standard pathway, it's important to note that the journey can vary greatly depending on the field of study, geographical location, and individual choices. For instance, in the field of education, becoming a preschool teacher in West Virginia would require a markedly different path, involving specific coursework in early childhood education, as well as licensing requirements. Regardless of the pathway, a career in research is characterized by lifelong learning, curiosity, and a passion for discovery.
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