World's Best Scientists 2026 revealed!
Human Brain Mapping
H-index 61

Human Brain Mapping

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Neuroscience 17 1200 1296 61

Additional Metrics

Number of Best Scientists*: 1972
Documents by Best Scientists*: 1524
Top 100 Ranked Scientists*: 69
SCIMAGO H-index: 225
SCIMAGO SJR: 1.584
Impact Factor: 3.3

Overview

Top Research Topics at Human Brain Mapping?

The journal primarily tackles Neuroscience, Functional magnetic resonance imaging, Brain mapping, Cognition and Neuroimaging. The work on Neuroscience addressed in Human Brain Mapping expands to the thematically related White matter. Human Brain Mapping addresses concerns in White matter which are intertwined with other disciplines, such as Corpus callosum and Pathology.

The concepts on Functional magnetic resonance imaging presented in it can also apply to other research fields, including Cognitive psychology, Audiology, Anterior cingulate cortex, Artificial intelligence and Brain activity and meditation. The work tackled in it goes beyond the discipline of Cognitive psychology as it also encompasses Perception. The journal focuses on Audiology research which is adjacent to topics in Developmental psychology.

In particular, the Artificial intelligence works presented emphasize discussions on Voxel. The journal holds forums on Brain mapping that merges themes from other disciplines such as Stimulus (physiology), Magnetic resonance imaging and Pattern recognition. Specifically, studies on Working memory are prevalent in the Cognition works discussed.

  • Neuroscience (52.84%)
  • Functional magnetic resonance imaging (21.68%)
  • Brain mapping (19.62%)

What are the most cited papers published in the journal?

  • Statistical parametric maps in functional imaging: A general linear approach (8549 citations)
  • Fast robust automated brain extraction (7988 citations)
  • Nonparametric permutation tests for functional neuroimaging: A primer with examples (4840 citations)

Research areas of the most cited articles at Human Brain Mapping:

The most cited papers primarily focus on research topics in Neuroscience, Brain mapping, Functional magnetic resonance imaging, Cognition and Artificial intelligence. The subject of Anterior cingulate cortex, which is connected to the field of Cingulate cortex, serves as the foundation of the Functional magnetic resonance imaging research featured in the most cited papers. In addition to Artificial intelligence research, the most cited articles aim to explore topics under Nuclear medicine, Communication 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.

The top authors publishing in Human Brain Mapping (based on the number of publications) are:

  • Peter T. Fox (95 papers) published 1 paper at the last edition, 1 less than at the previous edition,
  • Paul M. Thompson (87 papers) published 6 papers at the last edition, 17 less than at the previous edition,
  • Vince D. Calhoun (83 papers) published 11 papers at the last edition, 4 more than at the previous edition,
  • Simon B. Eickhoff (71 papers) published 3 papers at the last edition, 4 less than at the previous edition,
  • Dinggang Shen (45 papers) published 3 papers at the last edition, 1 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.

Only papers with recognized affiliations are considered

The top affiliations publishing in Human Brain Mapping (based on the number of publications) are:

  • Harvard University (246 papers) published 18 papers at the last edition, 5 less than at the previous edition,
  • Max Planck Society (230 papers) published 24 papers at the last edition the same number as at the previous edition,
  • National Institutes of Health (147 papers) published 4 papers at the last edition, 10 less than at the previous edition,
  • University of California, Los Angeles (142 papers) published 9 papers at the last edition, 4 less than at the previous edition,
  • King's College London (137 papers) published 19 papers at the last edition, 3 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, 0.94% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 23.70% were posted by at least one author from the top 10 institutions publishing in the journal. Another 9.24% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 22.27% of all publications and 44.79% 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 in the Field

While it's reveling to explore the depth and breadth of research topics surrounding human brain mapping, it's equally significant to highlight the potential career opportunities for those interested in the field. Perhaps, one could consider the role of a Speech-Language Pathologist (SLP). Neurosciences, including functional magnetic resonance imaging or brain mapping, form the crucial part of the knowledge base for an SLP. This kind of understanding helps them better diagnose and treat various speech, language, cognitive-communication, and swallowing disorders. Pennsylvania, among other states, provides promising career opportunities for SLPs. Nonetheless, every state has unique licensing prerequisites that a prospective SLP must meet. Hence, it is crucial to understand the specific licensure requirements applicable to the state where one aspires to practice. For instance, those eyeing a career in Pennsylvania can refer to the following guide on pennsylvania slp license requirements. Remembering that licensure is a critical legal obligation as it upholds your caliber as a professional and protects your clients' rights. Therefore, wanted to pursue a career in human brain mapping and its associated fields can bring significant enrichment both personally and professionally.

Top Publications

  • JuSpace: A tool for spatial correlation analyses of magnetic resonance imaging data with nuclear imaging derived neurotransmitter maps

    Juergen Dukart;Stefan Holiga;Michael Rullmann;Rupert Lanzenberger

    (2021)
    286 Citations
  • Cortical thickness across the lifespan: Data from 17,075 healthy individuals aged 3-90 years

    Sophia Frangou;Amirhossein Modabbernia;Steven C. R. Williams;Efstathios Papachristou

    (2021)
    272 Citations
  • Mind the gap: Performance metric evaluation in brain‐age prediction

    Unknown

    (2022)
    191 Citations
  • Mapping brain asymmetry in health and disease through the ENIGMA consortium

    Xiangzhen Kong;Merel Postema;Tulio Guadalupe;Carolien G. F. De Kovel

    (2020)
    182 Citations
  • Personalized connectivity‐guided DLPFC‐TMS for depression: Advancing computational feasibility, precision and reproducibility

    Robin F H Cash;Luca Cocchi;Jinglei Lv;Jinglei Lv;Yumeng Wu

    (2021)
    155 Citations
  • Towards a brain-based predictome of mental illness.

    Barnaly Rashid;Vince Calhoun

    (2020)
    132 Citations
  • Mitigating site effects in covariance for machine learning in neuroimaging data

    (2021)
    131 Citations
  • Data sharing and privacy issues in neuroimaging research: Opportunities, obstacles, challenges, and monsters under the bed

    Tonya White;Elisabet Blok;Vince D. Calhoun

    (2020)
    119 Citations
  • Influence of sample size and analytic approach on stability and interpretation of brain-behavior correlations in task-related fMRI data.

    Cheryl L Grady;Jenny R Rieck;Daniel Nichol;Karen M Rodrigue

    (2021)
    114 Citations
  • Improved prediction of brain age using multimodal neuroimaging data

    Xin Niu;Fengqing Zhang;John Kounios;Hualou Liang

    (2020)
    113 Citations

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Best Scientists Contributing to This Journal

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