0956-7968
Published by: Cambridge University Press
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 715 | 18 | 25 | 7 |
The scientific interests tackled in the journal are Programming language, Functional programming, Theoretical computer science, Algorithm and Haskell. Journal of Functional Programming focuses on Programming language research which is adjacent to topics in Type (model theory). In addition to Theoretical computer science research, it aims to explore topics under Type inference and Data structure.
Topics in Algorithm explored in the journal were investigated in conjunction with research in Discrete mathematics and Algebra.
The most cited publications mainly tackle studies in Programming language, Theoretical computer science, Functional programming, Haskell and Algorithm. The journal articles connects the study in Programming language with the closely related areas of Type (model theory). The published articles deal with Functional programming in conjunction with other fields like
The journal focuses largely on the fields of Programming language, Semantics (computer science), Mathematical proof, Functional programming and Compiler. Programming language works presented in it have a specific focus on Extensibility. While it focused on Mathematical proof, it was also able to explore topics like Monad (functional programming), Correctness, Calculus and Scope (computer science).
The research on Correctness featured in the journal combines topics in other fields like Backward induction, Coercion (linguistics), Type (model theory) and Theoretical computer science. Topics in Functional programming were tackled in line with various other fields like Optimizing compiler, Formal methods, Homotopy type theory and Porting. While work presented in it provided substantial information on Compiler, it also covered topics in Overhead (computing), Inference, Memory management, Parallel computing and Scheme (programming language).
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 Functional Programming (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 Functional Programming (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, 46.67% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 18.75% were posted by at least one author from the top 10 institutions publishing in the journal. Another 37.50% 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 18.75% 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.
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