Kybernetika

Top Research Topics at Kybernetika?

The journal focuses on Control theory, Applied mathematics, Mathematical optimization, Artificial intelligence and Discrete mathematics. Nonlinear system, Control theory and Linear system studies are all carried out as a component of the study in Control theory presented. It explores research in Artificial intelligence and the adjacent study of Pattern recognition.

The work on Discrete mathematics addressed in the journal expands to the thematically related Algebra.

• Control theory (16.36%)
• Applied mathematics (13.05%)
• Mathematical optimization (10.29%)

What are the most cited papers published in the journal?

• A theory of biological pattern formation. (2394 citations)
• A Mathematical Theory of the Functional Dynamics of Cortical and Thalamic Nervous Tissue (1499 citations)
• Self-organization of orientation sensitive cells in the striata cortex (1243 citations)

Research areas of the most cited articles at Kybernetika:

The journal papers investigate studies in Control theory, Artificial intelligence, Complex system, Mathematical analysis and Applied mathematics. The studies on Control theory discussed at the most cited articles can also contribute to research in the domains of Control (management) and Stability (probability). The journal papers explore issues in Applied mathematics which can be linked to other research areas like Mathematical optimization and Calculus.

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

• Statistics
• Artificial intelligence
• Quantum mechanics

The previous edition focused in particular on these issues:

The foci of the journal are Control theory, Applied mathematics, Mathematical optimization, Pure mathematics and Combinatorics. Control theory research presented in Kybernetika encompasses a variety of subjects, including Tracking (particle physics), Event triggered and Control (linguistics). Topics in Applied mathematics were tackled in line with various other fields like Characterization (mathematics), Estimator, Markov chain, Exponential function and Function (mathematics).

The overlapping concepts between Markov decision process and Finite horizon are the key highlights of Mathematical optimization study. Kybernetika holds forums on Pure mathematics that merges themes from other disciplines such as Structure (category theory), Bounded lattice, Bounded function and Fuzzy logic, Ordinal sum. Kybernetika explores topics in Combinatorics which can be helpful for research in disciplines like Distributivity, Double exponential function and Encoding (memory).

The most cited articles from the last journal are:

• Caristi's fixed point theorem in probabilistic metric spaces (1 citations)
• Construction Methods for Gaussoids (1 citations)
• Brownian motion tree models are toric (1 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 Kybernetika (based on the number of publications) are:

• Milan Mares (75 papers) absent at the last edition,
• Vladimír Kučera (42 papers) absent at the last edition,
• Ivan Kramosil (38 papers) absent at the last edition,
• Igor Vajda (37 papers) absent at the last edition,
• Radko Mesiar (30 papers) published 1 paper 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 Kybernetika (based on the number of publications) are:

• Max Planck Society (56 papers) published 2 papers at the last edition, 2 less than at the previous edition,
• University of California, Los Angeles (17 papers) absent at the last edition,
• Munich University of Applied Sciences (10 papers) absent at the last edition,
• ARCO (10 papers) absent at the last edition,
• Academy of Sciences of the Czech Republic (10 papers) absent 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, 95.65% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 100.00% were posted by at least one author from the top 10 institutions publishing in the journal. Another 0.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 0.00% of all publications and 0.00% 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.