0022-4812
Published by: Cambridge University Press
https://www.cambridge.org/core/journals/journal-of-symbolic-logic
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mathematics | 707 | 4 | 14 | 3 |
| Computer Science | 1035 | 4 | 19 | 3 |
The scientific interests tackled in the journal are Discrete mathematics, Combinatorics, Algebra, Calculus and Pure mathematics. The studies tackled, which mainly focus on Discrete mathematics, apply to Axiom as well. Countable set is a major topic of Combinatorics research presented in the journal.
The most cited publications cover a variety of subjects, including Discrete mathematics, Combinatorics, Algebra, Calculus and Pure mathematics. The journal publications focus on Discrete mathematics but the discussions also offer insight into other areas such as Axiom, Mathematical proof and Set (abstract data type). Many of the studies tackled in the most cited papers connect Combinatorics with a similar field of study like Function (mathematics).
The discussions in Journal of Symbolic Logic mainly cover the fields of Combinatorics, Pure mathematics, Class (set theory), Discrete mathematics and Bounded function. While it focused on Combinatorics, it was also able to explore topics like Sequence, Set (abstract data type) and Omega. Most of the works presented in it deals with Pure mathematics but it intersects with the subject of Simple (abstract algebra).
The Class (set theory) study featured in Journal of Symbolic Logic draws parallels with the field of Forcing (recursion theory).
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 Symbolic Logic (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 Symbolic Logic (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, 77.17% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 10.34% were posted by at least one author from the top 10 institutions publishing in the journal. Another 6.90% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 10.34% of all publications and 72.41% 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.
Rod Downey;Noam Greenberg;Alexander G. Melnikov;Keng Meng Ng
(2020)Rod Downey;Noam Greenberg;Matthew Harrison-Trainor;Ludovic Patey
(2020)Wiesław Kubiś;Saharon Shelah
(2020)Isaac Goldbring;H. Jerome Keisler
(2020)Heike Mildenberger;Saharon Shelah
(2021)For students exploring options beyond traditional Computer Science programs, there are a variety of alternative online degrees to consider. Many learners start with online associates degree programs that offer a quick and affordable pathway to foundational skills, perfect for those seeking entry-level roles or planning to transfer to a bachelor’s program later.
For those aiming to finish their bachelor’s degree faster, online accelerated programs provide a flexible and intensive learning experience that can significantly reduce time-to-degree. This is ideal for working professionals who want to advance their careers without sacrificing income.
Students interested in balancing ease with value may explore some of the easy bachelor degrees online. These programs typically require less time or less demanding coursework, making them accessible for those new to higher education or switching fields.
Furthermore, focusing on best bachelor degrees programs can open doors to lucrative career pathways in tech, engineering, and data science. Combining these strategic degree choices with a Computer Science background can maximize both job prospects and earning potential.