Journal of Automated Reasoning

Top Research Topics at Journal of Automated Reasoning?

Journal of Automated Reasoning facilitates discussions on Discrete mathematics, Theoretical computer science, Automated theorem proving, Programming language and Mathematical proof. The Discrete mathematics works featured in Journal of Automated Reasoning incorporate elements from Axiom, Algebra, Combinatorics and Calculus. The study of Algorithm serves as the foundation of the Automated theorem proving research discussed in it.

The presentations discussing Programming language offer insights in topics such as Correctness and HOL. Proof assistant is a focus of the Mathematical proof works in Journal of Automated Reasoning. The research on Automated reasoning discussed in the journal draws on the closely related field of Reasoning system.

• Discrete mathematics (19.93%)
• Theoretical computer science (18.37%)
• Automated theorem proving (16.75%)

What are the most cited papers published in the journal?

• Tractable Reasoning and Efficient Query Answering in Description Logics: The DL-Lite Family (1182 citations)
• The TPTP Problem Library and Associated Infrastructure (405 citations)
• Heavy-Tailed Phenomena in Satisfiability and Constraint Satisfaction Problems (353 citations)

Research areas of the most cited articles at Journal of Automated Reasoning:

The published papers investigate areas of study like Programming language, Theoretical computer science, Automated theorem proving, Discrete mathematics and Mathematical proof. The Programming language research presented in the published articles focuses mostly on Proof assistant and, on occasion, topics in Proof theory. The most cited articles with studies in Theoretical computer science featured incorporate elements of Representation (mathematics) and Resolution (logic).

What topics the last edition of the journal is best known for?

• Programming language
• Law
• Artificial intelligence

The previous edition focused in particular on these issues:

Journal of Automated Reasoning mainly deals with areas of study such as Reliability engineering, Mathematical proof, Theoretical computer science, Test (assessment) and Reliability (statistics). Many of the research works in Reliability engineering, specifically Failure mode and effects analysis, closely connected to disciplines like Weapon system. Mathematical proof research discussed in Journal of Automated Reasoning aim to provide more information in the subject of Algebra.

Issues in Theoretical computer science were discussed, taking into consideration concepts from other disciplines like Proof assistant and Cryptographic primitive. The study of Nonprobability sampling and how it intertwines with concepts under Accounting were explored in the presented Test (assessment) research. The journal tackles topics on HOL, which can potentially contribute to the wider field of Programming language.

The most cited articles from the last journal are:

• TacticToe: Learning to Prove with Tactics (16 citations)
• Automated Reasoning with Restricted Intensional Sets (7 citations)
• Automated Proof of Bell–LaPadula Security Properties (7 citations)

Papers citation over time

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.

Top authors and change over time

The top authors publishing in Journal of Automated Reasoning (based on the number of publications) are:

• Larry Wos (50 papers) absent at the last edition,
• Lawrence C. Paulson (19 papers) absent at the last edition,
• Geoff Sutcliffe (18 papers) absent at the last edition,
• Jasmin Christian Blanchette (14 papers) published 2 papers at the last edition the same number as at the previous edition,
• Jürgen Giesl (14 papers) absent at the last edition.

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.

Top affiliations and change over time

Only papers with recognized affiliations are considered

The top affiliations publishing in Journal of Automated Reasoning (based on the number of publications) are:

• Argonne National Laboratory (72 papers) absent at the last edition,
• Technische Universität München (56 papers) absent at the last edition,
• French Institute for Research in Computer Science and Automation (49 papers) published 1 paper at the last edition, 3 less than at the previous edition,
• University of Cambridge (33 papers) published 1 paper at the last edition, 1 less than at the previous edition,
• Carnegie Mellon University (28 papers) published 1 paper at the last edition, 2 less than at the previous edition.

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.

Publication chance based on affiliation

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, 67.27% 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 16.67% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 11.11% of all publications and 47.22% were from other institutions.

Returning Authors Index

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.

Returning Institution Index

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.

The experience to innovation index

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:

• Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
• Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
• Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
• Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
• Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Career Prospects in Automated Reasoning Research

Considering the vast spectrum of topics covered in the Journal of Automated Reasoning, one might be curious about the kind of careers that may be pursued in the fields of Discrete mathematics, Theoretical Computer Science, and others mentioned above. In academia, a career in automated reasoning research could lead to teaching positions in universities, or research positions in academic or government institutes. For those interested in the private sector, there are numerous tech companies seeking experts to contribute to their efforts in artificial intelligence and data analysis. Although the salary can vary significantly depending on the job role, mastery of these subjects can lead to competitive compensation. For instance, private school teaching positions in areas such as New Jersey are sought after for their distinct benefits. Discover more about becoming a private school teacher in New Jersey and their competitive salaries by visiting the following link: private school teacher salary new jersey. Apart from teaching, positions in data analysis, software development and artificial intelligence are worth considering. Organizations such as NASA, Google, and Apple are often seeking professionals with a background in automated reasoning. In conclusion, mastery of the topics covered in the Journal of Automated Reasoning can open numerous lucrative career paths in a variety of sectors.