0952-5238
Published by: Cambridge University Press
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Neuroscience | 424 | 9 | 8 | 4 |
Visual Neuroscience mostly deals with topics like Retina, Neuroscience, Anatomy, Biophysics and Retinal. The studies on Retina discussed can also contribute to research in the domains of Internal medicine, Ganglion and Cell biology. Topics in Cell biology were tackled in line with various other fields like Endocrinology and Inner nuclear layer.
Research on Neuroscience presented in the journal focuses, in particular, on Visual cortex, Electrophysiology, Receptive field, Stimulus (physiology) and Lateral geniculate nucleus. The research on Visual cortex featured in Visual Neuroscience combines topics in other fields like Visual field, Central nervous system, Cortex (anatomy) and Macaque. The journal explores research in Stimulus (physiology) alongside concepts in Communication and other areas of study in Optics, Chromatic scale, Spatial frequency, Artificial intelligence and Luminance.
In addition to Anatomy research, the journal aims to explore topics under Nucleus, Electroretinography and Spectral sensitivity. While work presented in Visual Neuroscience provided substantial information on Biophysics, it also covered topics in Glutamate receptor and Patch clamp. Visual Neuroscience focuses on Inner plexiform layer but the discussions also offer insight into other areas such as Amacrine cell, Ganglion cell layer and Outer plexiform layer.
The most cited articles focus largely on the fields of Neuroscience, Retina, Visual cortex, Anatomy and Receptive field. The published papers hold forums on Retina that merge themes from other disciplines such as Biophysics, Retinal and Cell biology. The Visual cortex research tackled in the journal papers is interrelated with Communication which concerns subjects like Artificial intelligence.
The primary areas of discussion in the journal are Retinal, Neuroscience, Retina, Cell biology and Amacrine cell. While it focused on Retinal, it was also able to explore topics like Extracellular, Biophysics and Phosphorylation. The studies in Neuroscience featured incorporate elements of Diabetic retinopathy, Blockade and Microglia.
The Retina works, particularly on Erg are tackled in the journal. It tackles studies in Gap junction and the interrelated subject of Endocrinology to gain insights into Amacrine cell. Visual Neuroscience explores topics in Electrophysiology which can be helpful for research in disciplines like Intrinsically photosensitive retinal ganglion cells, Melanopsin, Excitatory postsynaptic potential and Volucella pellucens.
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 Visual Neuroscience (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 Visual Neuroscience (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, 21.43% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 9.09% 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 27.27% of all publications and 63.64% 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.
While Visual Neuroscience primarily focuses on topics such as the retina, neuroscience, anatomy, and biophysics, it is crucial to note that the findings in these fields could be beneficial to other disciplines such as speech therapy. For instance, advancements in understanding the neurobiology of communication disorders can be instrumental in the field of speech pathology. Additionally, the exploration of artificial intelligence in communication that is studied under Stimulus (physiology) can bring about innovations in therapeutic techniques for treating speech and language disorders. Aspiring speech therapists can greatly benefit from understanding these connections. For instance, if you're interested in pursuing a career in this field, you might find our guide on how to be a speech therapist in Colorado helpful. It provides an in-depth discussion on the link between neuroscience and speech pathology, and how cutting-edge research in Visual Neuroscience can be applied for beneficial outcomes in speech therapy.
Amy R. Nippert;Eric A. Newman
(2020)Martin O. Bohlen;Paul D. Gamlin;Susan Warren;Paul J. May
(2021)Paul J. May;Martin O. Bohlen;Eddie Perkins;Niping Wang
(2021)Hsueh Chung Lu;Robyn J. Laing;Jaime F. Olavarria
(2021)
