| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Neuroscience | 294 | 24 | 36 | 10 |
The journal covers a variety of subjects, including Artificial intelligence, Neuroscience, Complex system, Control theory and Artificial neural network. Some problems in Artificial intelligence that were presented in it overlapped with concepts under Perception, Computer vision, Machine learning, Visual cortex and Pattern recognition. The journal tackles issues in Neuroscience, particularly in the topics of Stimulus (physiology), Electrophysiology, Neuron, Excitatory postsynaptic potential and Inhibitory postsynaptic potential.
Algorithm, Biological system, Statistical physics and Topology are some topics wherein Complex system research discussed in it have an impact. The Control theory works, particularly on Nonlinear system are tackled in it.
The most cited papers primarily focus on research topics in Artificial intelligence, Control theory, Neuroscience, Complex system and Artificial neural network. In addition to Artificial intelligence research, the journal papers aim to explore topics under Visual perception, Machine learning, Computer vision and Pattern recognition. The most cited publications deal with Control theory in conjunction with Simulation and similar fields in Trajectory.
The aim of Biological Cybernetics is to expand the discussion of research in Complex system, Cognitive science, Statistical physics, Cybernetics and Artificial intelligence. In the journal, Nonlinear system, Bifurcation, Control theory, Sensitivity (control systems) and Artificial neural network are investigated in conjunction with one another to address concerns in Complex system research. While work presented in it provided substantial information on Cognitive science, it also covered topics in Saccadic masking, Action selection, Cognition and Reinforcement learning.
The research on Statistical physics tackled can also make contributions to studies in the areas of Phase (waves), Neural fields, Point process, Interval (mathematics) and Exponential function. In addition to Cybernetics research, the journal aims to explore topics under Basal ganglia, Entrainment (biomusicology), Brain circuit and Brain development. Representation (systemics) is the primary subject of Artificial intelligence works presented in it.
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 Biological Cybernetics (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 Biological Cybernetics (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, 4.26% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 11.11% were posted by at least one author from the top 10 institutions publishing in the journal. Another 15.56% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 20.00% of all publications and 53.33% 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.
A notable missing section is detailing potential career paths for those studying Biological Cybernetics and how to embark on them. This could include jobs such as a Speech-Language Pathologist, a career that bridges the gap between biological cybernetics, neuroscience, and artificial intelligence. The holistic nature of Biological Cybernetics lends itself well to this practice, which incorporates a wide range of disciplines and research areas. For those looking to learn more about this exciting field, a good starting point might be understanding the requirements for professionals already established in it. For example, let's look at speech-language pathologists (SLPs). In the state of Kentucky, becoming an SLP involves a specific set of requirements. The Kentucky SLP license requirements shed light on what academic tracks and professional experiences are important for making a career in this field. This kind of information is crucial in informing and guiding individuals interested in Biological Cybernetics and other interdisciplinary fields. By understanding the diverse range of potential career paths and how to embark on them, students can move forth with a clearer action plan for their future. In this way, Biological Cybernetics, with its intersection of various research areas, offers a multitude of opportunities for enriching and diverse career tracks, providing opportunities to contribute to innovative and impactful work in the realm of science.
J. A. Scott Kelso;J. A. Scott Kelso
(2021)Mitsuo Kawato;Aurelio Cortese
(2021)Zhuocheng Xiao;Kevin Lin;Jean Marc Fellous
(2020)Tiffany Hwu;Jeffrey L. Krichmar
(2020)Marije ter Wal;Marije ter Wal;Paul H. E. Tiesinga
(2021)Mark D. Humphries;Kevin N. Gurney
(2021)Kunpeng Yao;Aude Billard
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