Frontiers in Neuroscience

Top Research Topics at Frontiers in Neuroscience?

Frontiers in Neuroscience is mainly concerned with subjects like Neuroscience, Internal medicine, Artificial intelligence, Endocrinology and Audiology. Most of the works presented in it deals with Neuroscience but it intersects with the subject of Disease. Many of the studies tackled connect Internal medicine with a similar field of study like Cardiology.

The research on Artificial intelligence featured in the journal combines topics in other fields like Electroencephalography, Machine learning, Computer vision and Pattern recognition.

• Neuroscience (28.45%)
• Internal medicine (10.64%)
• Artificial intelligence (10.38%)

What are the most cited papers published in the journal?

• Neuromorphic Silicon Neuron Circuits (1161 citations)
• MEG and EEG data analysis with MNE-Python (895 citations)
• Modular and hierarchically modular organization of brain networks. (790 citations)

Research areas of the most cited articles at Frontiers in Neuroscience:

The published articles mostly deal with topics like Neuroscience, Artificial intelligence, Cognition, Disease and Internal medicine. The journal publications hold forums on Neuroscience that merge themes from other disciplines such as Context (language use), Receptor and Neurodegeneration. Issues in Artificial intelligence were discussed in the journal publications, taking into consideration concepts from other disciplines like Machine learning and Pattern recognition.

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 Frontiers in Neuroscience (based on the number of publications) are:

• Vince D. Calhoun (27 papers) published 3 papers at the last edition, 2 more than at the previous edition,
• Steven Laureys (23 papers) published 1 paper at the last edition the same number as at the previous edition,
• Veerle Baekelandt (22 papers) absent at the last edition,
• André van Schaik (22 papers) published 1 paper at the last edition the same number as at the previous edition,
• Ryad Benosman (21 papers) published 1 paper at the last edition, 3 less than at the previous 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 Frontiers in Neuroscience (based on the number of publications) are:

• Harvard University (129 papers) published 23 papers at the last edition, 6 more than at the previous edition,
• Max Planck Society (126 papers) published 15 papers at the last edition, 8 more than at the previous edition,
• Chinese Academy of Sciences (105 papers) published 28 papers at the last edition the same number as at the previous edition,
• French Institute of Health and Medical Research (104 papers) published 3 papers at the last edition, 9 less than at the previous edition,
• University of Toronto (103 papers) published 12 papers at the last edition, 1 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, 3.85% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 11.03% were posted by at least one author from the top 10 institutions publishing in the journal. Another 7.59% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 15.95% of all publications and 65.43% 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 Paths in Neuroscience Research

While the exploration of top research topics and the analysis of top contributors in "Frontiers in Neuroscience" provides a great insight into the progression of the field, an interested reader might also be curious about possible careers tied to neuroscience research. Considering the multidisciplinary nature of neuroscience, there are a multitude of career paths one could follow, including becoming a Speech Language Pathologist.

A Speech Language Pathologist (SLP) specializes in the assessment, diagnosis, and treatment of communication disorders, cognitive-communication disorders, voice disorders, and swallowing disorders. SLPs work in a variety of clinical and educational settings.

Career progression in neuroscience research is multidimensional. It is common for students and professionals to wonder how to become a speech therapist in New York or any other city for that matter. Given the close connection between neuroscience and language disorders, it can be a highly fulfilling profession for those interested in human communication.

To gain a comprehensive understanding of how to join this field of work in a specific geographic location such as New York, potential aspirants can visit our page on how to become a speech therapist.