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NeuroImage
H-index 100

NeuroImage

1053-8119

Published by: Elsevier

https://www.journals.elsevier.com/neuroimage

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Neuroscience 3 1746 2540 97

Additional Metrics

Number of Best Scientists*: 2843
Documents by Best Scientists*: 3055
Top 100 Ranked Scientists*: 92
SCIMAGO H-index: 438
SCIMAGO SJR: 2.074
Impact Factor: 4.5

Overview

Top Research Topics at NeuroImage?

The journal primarily tackles Neuroscience, Artificial intelligence, Cognitive psychology, Functional magnetic resonance imaging and Brain mapping. Electroencephalography, Neuroimaging, Cognition, Stimulus (physiology) and Prefrontal cortex are some of the facets of Neuroscience tackled in the journal. While NeuroImage focused on Artificial intelligence, it was also able to explore topics like Machine learning, Magnetic resonance imaging, Computer vision and Pattern recognition.

The journal is focused mainly on Magnetic resonance imaging, particularly White matter. The studies in Cognitive psychology featured incorporate elements of Developmental psychology, Working memory, Task (project management) and Perception.

  • Neuroscience (35.08%)
  • Artificial intelligence (17.94%)
  • Cognitive psychology (16.06%)

What are the most cited papers published in the journal?

  • Automated Anatomical Labeling of Activations in SPM Using a Macroscopic Anatomical Parcellation of the MNI MRI Single-Subject Brain (11555 citations)
  • Advances in functional and structural MR image analysis and implementation as FSL. (9662 citations)
  • IMPROVED OPTIMIZATION FOR THE ROBUST AND ACCURATE LINEAR REGISTRATION AND MOTION CORRECTION OF BRAIN IMAGES (7787 citations)

Research areas of the most cited articles at NeuroImage:

The most cited articles tackle a plethora of topics, such as Neuroscience, Artificial intelligence, Brain mapping, Cognitive psychology and Functional magnetic resonance imaging. The most cited publications investigate Neuroscience research which frequently intersects with Magnetic resonance imaging. The most cited publications address concerns in Artificial intelligence which are intertwined with other disciplines, such as Machine learning, Computer vision and Pattern recognition.

What topics the last edition of the journal is best known for?

  • Internal medicine
  • Cognition
  • Artificial intelligence

The previous edition focused in particular on these issues:

The journal investigates areas of study like Neuroscience, Artificial intelligence, Neuroimaging, Pattern recognition and Cognitive psychology. The presentations discussing Neuroscience offer insights in topics such as Functional magnetic resonance imaging, Cognition, Human brain, Resting state fMRI and Electroencephalography. The journal explores issues in Artificial intelligence which can be linked to other research areas like Machine learning, Diffusion MRI and Human Connectome Project.

The journal explores research in Neuroimaging and the adjacent study of Magnetic resonance imaging. Specifically, studies on Convolutional neural network are prevalent in the Pattern recognition works discussed. The research on Cognitive psychology tackled can also make contributions to studies in the areas of Brain activity and meditation and Task (project management).

The most cited articles from the last journal are:

  • Confound modelling in UK Biobank brain imaging. (30 citations)
  • The neural correlates of semantic control revisited. (27 citations)
  • White matter microstructure across the adult lifespan: A mixed longitudinal and cross-sectional study using advanced diffusion models and brain-age prediction. (27 citations)

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 NeuroImage (based on the number of publications) are:

  • Karl J. Friston (282 papers) published 2 papers at the last edition, 6 less than at the previous edition,
  • Arthur W. Toga (226 papers) published 2 papers at the last edition the same number as at the previous edition,
  • Paul M. Thompson (205 papers) published 1 paper at the last edition, 4 less than at the previous edition,
  • Alan C. Evans (185 papers) published 5 papers at the last edition, 3 more than at the previous edition,
  • Peter T. Fox (179 papers) absent at the last 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 NeuroImage (based on the number of publications) are:

  • Max Planck Society (885 papers) published 40 papers at the last edition, 5 more than at the previous edition,
  • Harvard University (875 papers) published 58 papers at the last edition, 16 more than at the previous edition,
  • National Institutes of Health (699 papers) published 28 papers at the last edition, 8 less than at the previous edition,
  • University College London (627 papers) published 41 papers at the last edition, 8 more than at the previous edition,
  • University of Oxford (543 papers) published 45 papers at the last edition, 13 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, 2.28% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 23.81% were posted by at least one author from the top 10 institutions publishing in the journal. Another 9.91% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 22.06% of all publications and 44.22% 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 Opportunities for Published Authors in the Field

Having your research work published in a reputable scientific journal like NeuroImage not only enriches your academic profile but can potentially open up a wealth of career opportunities. One of the unique career pathways that combines both Neuroscience and Speech-Language Pathology is becoming a Speech Pathologist with a specialization in neurological disorders.

By leveraging their deep understanding of the neuroscience especially Neuroimaging and Cognitive Psychology, Speech-Language Pathologists can work towards treating individuals with communication problems stemming from conditions such as stroke, brain injury, or degradation with age. They can also contribute valuable insights for cross-disciplinary studies balancing between Neuroscience, Artificial Intelligence, and Behavioral Science.

Many states, such as Virginia have put into place specific prerequisites to become a certified Speech Pathologist. To learn more about the educational and licensing requirements for this profession in Virginia, visit this comprehensive guide on speech pathologist requirements in Virginia.

Besides aiding patients in overcoming their communication challenges, being a Speech Pathologist opens up opportunities for continuing research within the ambit of Speech Science and its relation to Neurological Studies. Hence, being published in prestigious journals will be an asset to pursue these opportunities.

Top Publications

  • Automated anatomical labelling atlas 3

    Edmund T. Rolls;Edmund T. Rolls;Chu Chung Huang;Ching Po Lin;Jianfeng Feng

    (2020)
    1776 Citations
  • Rumination and the default mode network: Meta-analysis of brain imaging studies and implications for depression

    Hui-Xia Zhou;Xiao Chen;Yang-Qian Shen;Le Li

    (2020)
    587 Citations
  • FastSurfer - A fast and accurate deep learning based neuroimaging pipeline

    Leonie Henschel;Sailesh Conjeti;Santiago Estrada;Kersten Diers

    (2020)
    568 Citations
  • Generative modeling of brain maps with spatial autocorrelation

    Joshua B. Burt;Markus Helmer;Maxwell Shinn;Alan Anticevic

    (2020)
    511 Citations
  • Harmonization of large MRI datasets for the analysis of brain imaging patterns throughout the lifespan.

    Raymond Pomponio;Guray Erus;Mohamad Habes;Jimit Doshi

    (2020)
    480 Citations
  • Quantitative mapping of the brain’s structural connectivity using diffusion MRI tractography: A review

    Unknown

    (2021)
    371 Citations
  • Comparing spatial null models for brain maps.

    Ross D. Markello;Bratislav Misic

    (2021)
    340 Citations
  • Deep neural networks and kernel regression achieve comparable accuracies for functional connectivity prediction of behavior and demographics.

    Tong He;Ru Kong;Avram J. Holmes;Minh Nguyen

    (2020)
    312 Citations
  • Multi-channel whole-head OPM-MEG: Helmet design and a comparison with a conventional system.

    Ryan M. Hill;Elena Boto;Molly Rea;Niall Holmes

    (2020)
    291 Citations
  • Keep it real: rethinking the primacy of experimental control in cognitive neuroscience.

    Samuel A. Nastase;Ariel Goldstein;Uri Hasson

    (2020)
    222 Citations

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