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Cerebral Cortex
H-index 55

Cerebral Cortex

1047-3211

Published by: Oxford University Press

https://academic.oup.com/cercor

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Neuroscience 24 1465 1612 53

Additional Metrics

Number of Best Scientists*: 2200
Documents by Best Scientists*: 1895
Top 100 Ranked Scientists*: 74
SCIMAGO H-index: 287
SCIMAGO SJR: 1.45
Impact Factor: 2.9

Overview

Top Research Topics at Cerebral Cortex?

The journal covers a variety of subjects, including Neuroscience, Functional magnetic resonance imaging, Cognitive psychology, Prefrontal cortex and Cerebral cortex. Cortex (anatomy), Visual cortex, Brain mapping, Sensory system and Somatosensory system are some of the study areas of Neuroscience discussed. It connects the study in Cortex (anatomy) with the closely related area of Anatomy.

It focuses on Functional magnetic resonance imaging but the discussions also offer insight into other areas such as Communication, Parietal lobe, Resting state fMRI, Neuroimaging and Brain activity and meditation. Cerebral Cortex explores topics in Cognitive psychology which can be helpful for research in disciplines like Stimulus (physiology), Visual perception, Perception and Cognition. The work tackled in it goes beyond the discipline of Prefrontal cortex as it also encompasses Working memory.

Most of the Cerebral cortex studies addressed also intersect with Neocortex.

  • Neuroscience (66.04%)
  • Functional magnetic resonance imaging (19.18%)
  • Cognitive psychology (17.43%)

What are the most cited papers published in the journal?

  • Distributed Hierarchical Processing in the Primate Cerebral Cortex (6458 citations)
  • Automatically Parcellating the Human Cerebral Cortex (3068 citations)
  • Emotion, Decision Making and the Orbitofrontal Cortex (2695 citations)

Research areas of the most cited articles at Cerebral Cortex:

The most cited articles mainly tackle studies in Neuroscience, Functional magnetic resonance imaging, Cognitive psychology, Prefrontal cortex and Brain mapping. Neuroscience study tackled in the journal papers is connected to the field of Anatomy. The most cited papers explore research in Communication and overlapping concepts in Artificial intelligence to expand the discourse in Functional magnetic resonance imaging.

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.

The top authors publishing in Cerebral Cortex (based on the number of publications) are:

  • Simon B. Eickhoff (42 papers) published 4 papers at the last edition, 2 more than at the previous edition,
  • Alan C. Evans (40 papers) published 1 paper at the last edition, 3 less than at the previous edition,
  • Javier DeFelipe (37 papers) published 4 papers at the last edition, 2 more than at the previous edition,
  • Karl J. Friston (35 papers) published 1 paper at the last edition, 4 less than at the previous edition,
  • Anders M. Fjell (33 papers) published 4 papers at the last edition the same number as 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.

Only papers with recognized affiliations are considered

The top affiliations publishing in Cerebral Cortex (based on the number of publications) are:

  • Max Planck Society (303 papers) published 28 papers at the last edition, 7 more than at the previous edition,
  • Harvard University (300 papers) published 30 papers at the last edition, 4 more than at the previous edition,
  • University College London (204 papers) published 10 papers at the last edition, 6 less than at the previous edition,
  • National Institutes of Health (190 papers) published 22 papers at the last edition, 10 more than at the previous edition,
  • Yale University (173 papers) published 11 papers at the last edition, 1 more 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, 0.51% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 23.72% were posted by at least one author from the top 10 institutions publishing in the journal. Another 14.85% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 16.04% of all publications and 45.39% 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.

Related Fields of Study and Potential Careers in Neuroscience

Given the multidisciplinary approach of the studies described in Cerebral Cortex, it's clear that neuroscience can intersect with, and have applications in, several related scientific fields. As neuroscience gives us critical insights into brain function and its role in behavior, it can be applied to improve outcomes in fields such as cognitive psychology, anatomy, and even artificial intelligence. In addition, neuroscience has practical applications in healthcare and medical research. One of the most direct healthcare roles associated with neuroscience is that of a Speech-Language Pathologist (SLP). This professional often needs an extensive understanding of the cerebral cortex and the brain's other regions to effectively approach cases ranging from speech disorders to difficulties swallowing. Our article on how to become a Speech-Language Pathologist outlines best practices towards becoming a proficient health professional in this field. To practice in Utah, specific licensing requirements need to be met. By familiarizing yourself with the utah slp license requirements, you can take the first steps towards a rewarding career in healthcare. It is noteworthy that the comprehensive grasp of neuroscience only strengthens your foundation in this profession.

Top Publications

  • A Domain-General Cognitive Core Defined in Multimodally Parcellated Human Cortex.

    Moataz Assem;Matthew F Glasser;Matthew F Glasser;David C Van Essen;John Duncan;John Duncan

    (2020)
    274 Citations
  • Individual-Specific Areal-Level Parcellations Improve Functional Connectivity Prediction of Behavior

    Ru Kong;Qing Yang;Evan Gordon;Aihuiping Xue

    (2021)
    274 Citations
  • Sex Classification by Resting State Brain Connectivity

    Susanne Weis;Kaustubh R Patil;Felix Hoffstaedter;Alessandra Nostro

    (2020)
    186 Citations
  • Movement and Performance Explain Widespread Cortical Activity in a Visual Detection Task

    David B Salkoff;Edward Zagha;Erin McCarthy;David A McCormick;David A McCormick

    (2020)
    156 Citations
  • Modulating Gamma Oscillations Promotes Brain Connectivity to Improve Cognitive Impairment.

    Unknown

    (2021)
    151 Citations
  • Childhood Obesity, Cortical Structure, and Executive Function in Healthy Children.

    Lisa Ronan;Aaron Alexander-Bloch;Paul C Fletcher;Paul C Fletcher

    (2020)
    139 Citations
  • Multiscale Structure-Function Gradients in the Neonatal Connectome.

    Sara Larivière;Reinder Vos de Wael;Seok-Jun Hong;Seok-Jun Hong;Casey Paquola

    (2020)
    138 Citations
  • Gender Differences in Connectome-based Predictions of Individualized Intelligence Quotient and Sub-domain Scores.

    Rongtao Jiang;Vince D Calhoun;Lingzhong Fan;Nianming Zuo

    (2020)
    119 Citations
  • Associations between Neighborhood SES and Functional Brain Network Development

    Ursula A Tooley;Allyson P Mackey;Rastko Ciric;Kosha Ruparel

    (2020)
    114 Citations
  • vmPFC Drives Hippocampal Processing during Autobiographical Memory Recall Regardless of Remoteness

    Cornelia McCormick;Cornelia McCormick;Daniel N Barry;Amirhossein Jafarian;Gareth R Barnes

    (2020)
    109 Citations

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