| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Neuroscience | 139 | 187 | 162 | 20 |
| Medicine | 2399 | 28 | 29 | 10 |
The foci of Brain Topography are Electroencephalography, Neuroscience, Neurology, Artificial intelligence and Audiology. In addition to Electroencephalography research, it aims to explore topics under Speech recognition, Epilepsy, Brain mapping and Scalp. The main emphasis of the journal is the research on Epilepsy, emphasizing the topic of Ictal.
Topics in Brain mapping were tackled in line with various other fields like Resting state fMRI and Functional magnetic resonance imaging. Magnetoencephalography, Stimulus (physiology), Cognition, Stimulation and Transcranial magnetic stimulation are all aspects of Neuroscience research featured in Brain Topography. Magnetoencephalography and Somatosensory system are closely related fields of research discussed in it.
Most of the works presented in the journal deals with Cognition but it intersects with the subject of Cognitive psychology. Some problems in Artificial intelligence that were presented in the journal overlapped with concepts under Machine learning, Computer vision and Pattern recognition. While it focused on Audiology, it was also able to explore topics like Developmental psychology, Alpha (ethology) and Event-related potential.
The most cited papers focus largely on the fields of Electroencephalography, Neuroscience, Artificial intelligence, Brain mapping and Audiology. The published papers tackle studies in Developmental psychology and the interrelated subject of Analysis of variance to gain insights into Electroencephalography. While Artificial intelligence is the key highlight in the published articles, thet also covered some subjects on Pattern recognition and Signal processing and Statistics.
The discussions in the journal mainly cover the fields of Electroencephalography, Neurology, Neuroscience, Audiology and Neuroimaging. The subject of Artificial intelligence, which is connected to the field of Pattern recognition, serves as the foundation of the Electroencephalography research featured in Brain Topography. Brain Topography explores topics in Neurology which can be helpful for research in disciplines like Physical medicine and rehabilitation, Lateralization of brain function, Clinical psychology, Depression (differential diagnoses) and Epilepsy.
Audiology research featured in Brain Topography incorporates concerns from various other topics such as Working memory, Insula, Correlation and Default mode network. The work on Neuroimaging tackled in Brain Topography brings together disciplines like Voxel-based morphometry, Inferior frontal gyrus, Diffusion MRI, Supplementary motor area and Functional near-infrared spectroscopy. Cognitive psychology and Machine learning are some topics wherein Brain activity and meditation research discussed in Brain Topography have an impact.
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 Brain Topography (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 Brain Topography (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, 1.28% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 24.68% were posted by at least one author from the top 10 institutions publishing in the journal. Another 6.49% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 10.39% of all publications and 58.44% 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.
Another important aspect of pursuing research in Brain Topography is understanding the diverse career pathways that can stem from this field. For example, a career as a Speech-Language Pathologist (SLP) can deeply benefit from a grounding in brain topography, especially in understanding speech recognition systems and neuroscience. An SLP typically works on diagnosing, treating, and preventing communication and swallowing disorders. They often work in diverse environments, from healthcare to educational settings, helping individuals from children to adults. The path to becoming a Speech-Language Pathologist usually involves obtaining a relevant undergraduate degree, followed by a master’s in Speech Pathology. Completion of clinical experience and a passing score on the national examination is also part of the process. Specific licensing requirements may vary from state to state in the U.S. If you are interested in becoming an SLP, it's crucial to familiarize yourself with your state's specific licensure requirements. For example, you may be interested in the iowa slp license requirements if you plan to practice in that state. This career can benefit enormously from a deep understanding of brain topography as it forms the foundation of speech and auditory processes. Whether it's understanding neurological disorders that might affect speech or leveraging artificial intelligence for speech recognition, brain topography will be a valuable part of your toolkit. As you can see, a grounding in brain topography can pave the way for diverse and rewarding careers. Where you choose to focus your research and how you leverage this knowledge is up to you.
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(2023)Jiayi Liu;Jiayi Liu;Jing Xu;Guangyuan Zou;Guangyuan Zou;Yong He
(2020)Suzanne T. Witt;Suzanne T. Witt;Helene van Ettinger-Veenstra;Taylor Salo;Michael C. Riedel
(2021)Isa Dallmer-Zerbe;Fabian Popp;Alexandra Philomena Lam;Alexandra Philipsen;Alexandra Philipsen
(2020)Rodolfo Abreu;Rodolfo Abreu;João Jorge;João Jorge;Alberto Leal;Thomas Koenig
(2021)Nathalie L Maitre;Arnaud Jeanvoine;Paul J Yoder;Alexandra P Key
(2020)Adeline Jabès;Giuliana Klencklen;Paolo Ruggeri;Christoph M. Michel
(2021)Nathalie L. Maitre;Nathalie L. Maitre;Alexandra P. Key;James C. Slaughter;Paul J. Yoder
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