Fundamenta Informaticae

Top Research Topics at Fundamenta Informaticae?

The journal generally zeroes in on subjects such as Discrete mathematics, Theoretical computer science, Artificial intelligence, Algorithm and Algebra. In addition to Discrete mathematics research, Fundamenta Informaticae aims to explore topics under Set (abstract data type) and Combinatorics. While Theoretical computer science is the focus of it, it also provided insights into the studies of Programming language, Semantics (computer science) and Petri net.

Petri net studies presented include Stochastic Petri net and Process architecture. The Artificial intelligence works featured in the journal incorporate elements from Natural language processing, Machine learning, Computer vision and Pattern recognition.

• Discrete mathematics (21.86%)
• Theoretical computer science (19.47%)
• Artificial intelligence (12.83%)

What are the most cited papers published in the journal?

• The watershed transform: definitions, algorithms and parallelization strategies (1097 citations)
• Tolerance approximation spaces (843 citations)
• Qualitative Spatial Representation and Reasoning: An Overview (639 citations)

Research areas of the most cited articles at Fundamenta Informaticae:

The published papers focus on Discrete mathematics, Theoretical computer science, Algorithm, Algebra and Rough set. While Discrete mathematics is the focus of the published papers, it also provides insights into the studies of Space (mathematics) and Combinatorics. The journal publications focus on Theoretical computer science but the discussions also offer insight into other areas such as Programming language and Petri net.

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

• Artificial intelligence
• Programming language
• Algorithm

The previous edition focused in particular on these issues:

The journal aims to foster the development of research in Theoretical computer science, Automaton, Pure mathematics, Rule-based machine translation and Algorithm. The research on Theoretical computer science featured in the journal combines topics in other fields like First-order logic, Computational complexity theory, Petri net, Formal concept analysis and Taxonomy (general). Pure mathematics research in Fundamenta Informaticae involves the investigation of Matroid studies, all of which are linked to disciplines such as Rough set.

While it focused on Algorithm, it was also able to explore topics like Probability distribution and Order (business). Fundamenta Informaticae explores research in Set (abstract data type) alongside concepts in Variable (mathematics) and other areas of study in Discrete mathematics. It facilitates discussions on Discrete mathematics that incorporate concepts from other fields like Finite-state machine, Model checking, Fixed point and String (computer science).

The most cited articles from the last journal are:

• On the general position number of complementary prisms (7 citations)
• Encoding Threshold Boolean Networks into Reaction Systems for the Analysis of Gene Regulatory Networks (3 citations)
• Complexity Assessments for Decidable Fragments of Set Theory. I: A Taxonomy for the Boolean Case. (2 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 Fundamenta Informaticae (based on the number of publications) are:

• Chin-Chen Chang (38 papers) absent at the last edition,
• Andrzej Skowron (35 papers) absent at the last edition,
• Wojciech Penczek (35 papers) absent at the last edition,
• Grzegorz Rozenberg (33 papers) absent at the last edition,
• Maciej Koutny (27 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 Fundamenta Informaticae (based on the number of publications) are:

• University of Warsaw (249 papers) published 2 papers at the last edition the same number as at the previous edition,
• Polish Academy of Sciences (111 papers) absent at the last edition,
• University of Pisa (63 papers) published 1 paper at the last edition, 1 less than at the previous edition,
• Leiden University (55 papers) absent at the last edition,
• University of Milan (53 papers) published 1 paper at the last 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, 18.75% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 11.54% were posted by at least one author from the top 10 institutions publishing in the journal. Another 1.92% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 13.46% of all publications and 73.08% 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 Alternative Paths: Becoming an Elementary Art Teacher

If you hold a love for art and research in the field of artificial intelligence, theoretical computer science, or similar topics, it could be worthwhile to ponder over a career that harmonizes both. A great example would be becoming an elementary art teacher, where you could inspire young students to create works of art, using your research background to innovatively integrate technology into their art lessons.

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