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Neurophotonics
H-index 25

Neurophotonics

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Neuroscience 149 69 105 20
Engineering and Technology 849 12 19 10

Additional Metrics

Number of Best Scientists*: 137
Documents by Best Scientists*: 167
Top 100 Ranked Scientists*: 3
SCIMAGO H-index: 55
SCIMAGO SJR: 1.143
Impact Factor: 3.8

Overview

Top Research Topics at Neurophotonics?

The journal is mainly concerned with subjects like Neuroscience, Functional near-infrared spectroscopy, Neuroimaging, Optics and Artificial intelligence. Neurophotonics concentrated on Neuroscience research, specifically Optogenetics, Brain mapping, Electroencephalography, Human brain and Sensory system. Neurophotonics explores topics in Functional near-infrared spectroscopy which can be helpful for research in disciplines like Brain activity and meditation, Audiology, Functional magnetic resonance imaging and Near-infrared spectroscopy.

The journal focused on Near-infrared spectroscopy research but expanded to cover Nuclear magnetic resonance. Neurophotonics explores issues in Neuroimaging which can be linked to other research areas like Hemodynamics, Magnetic resonance imaging and Biomedical engineering. The studies tackled, which mainly focus on Hemodynamics, apply to Haemodynamic response as well.

The studies in Biomedical engineering featured incorporate elements of Blood flow, Cerebral blood flow and Optical coherence tomography. It focuses on different Optics studies like Microscopy, Diffuse optical imaging and Image resolution. Some problems in Artificial intelligence that were presented in the journal overlapped with concepts under Signal, Computer vision and Pattern recognition.

  • Neuroscience (25.53%)
  • Functional near-infrared spectroscopy (24.47%)
  • Neuroimaging (17.87%)

What are the most cited papers published in the journal?

  • False positives and false negatives in functional near-infrared spectroscopy: issues, challenges, and the way forward (270 citations)
  • Pericyte structure and distribution in the cerebral cortex revealed by high-resolution imaging of transgenic mice (160 citations)
  • Anatomical guidance for functional near-infrared spectroscopy: AtlasViewer tutorial (157 citations)

Research areas of the most cited articles at Neurophotonics:

The published articles primarily focus on research topics in Neuroscience, Functional near-infrared spectroscopy, Neuroimaging, Functional magnetic resonance imaging and Optogenetics. The journal papers explore topics in Neuroscience which can be helpful for research in disciplines like Calcium and Microscopy. The works on Functional near-infrared spectroscopy tackled in the journal articles bring together disciplines like Speech recognition, Near-infrared spectroscopy, Detector and Artificial intelligence.

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

  • Internal medicine
  • Optics
  • Artificial intelligence

The previous edition focused in particular on these issues:

The primary areas of discussion in Neurophotonics are Functional near-infrared spectroscopy, Biomedical engineering, Neuroimaging, Blood flow and Cerebral blood flow. Issues in Functional near-infrared spectroscopy were discussed, taking into consideration concepts from other disciplines like Brain activity and meditation, Resting state fMRI, Functional magnetic resonance imaging and Artificial intelligence. The study of Stimulation and how it intertwines with concepts under Semiconductor laser theory, Functional Brain Imaging, Near-infrared spectroscopy and Brain function were explored in the presented Biomedical engineering research.

It explores the study of Neuroimaging to improve our understanding of the broader topic of Neuroscience. The journal addresses concerns in Neuroscience which are intertwined with other disciplines, such as Confocal microscopy and Birefringence. It facilitates discussions in Cerebral perfusion pressure as part of the larger field of Cerebral blood flow, however, it also tackles fields such as Avalanche diode.

The most cited articles from the last journal are:

  • Best practices for fNIRS publications (19 citations)
  • Functional brain connectivity related to surgical skill dexterity in physical and virtual simulation environments. (6 citations)
  • Analysis methods for measuring passive auditory fNIRS responses generated by a block-design paradigm. (3 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 Neurophotonics (based on the number of publications) are:

  • David A. Boas (23 papers) published 3 papers at the last edition, 1 more than at the previous edition,
  • Alessandro Torricelli (14 papers) published 3 papers at the last edition,
  • Robert J. Cooper (13 papers) published 5 papers at the last edition,
  • Joseph P. Culver (12 papers) published 2 papers at the last edition,
  • Felix Scholkmann (11 papers) published 2 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 Neurophotonics (based on the number of publications) are:

  • Harvard University (36 papers) published 6 papers at the last edition, 3 more than at the previous edition,
  • University College London (21 papers) published 6 papers at the last edition, 5 more than at the previous edition,
  • Washington University in St. Louis (16 papers) published 3 papers at the last edition,
  • Boston University (15 papers) published 5 papers at the last edition, 1 more than at the previous edition,
  • University of California, Irvine (15 papers) published 2 papers at the last 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, 9.52% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 44.74% were posted by at least one author from the top 10 institutions publishing in the journal. Another 7.89% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 21.05% of all publications and 26.32% 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.

Practical Applications and Career Paths in Neurophotonics

The Neurophotonics field goes beyond academia and finds several applications in real-world clinical settings. Practical applications of Neurophotonics include the diagnosis and treatment of neurological disorders like Alzheimer's, Parkinson's, and stroke. The advent of neuroimaging tools like functional near-infrared spectroscopy has made it possible to monitor cerebral blood flow and oxygenation in the human brain, acting as a crucial tool for neurological assessments. Furthermore, the advancements in Neurophotonics have opened up new career avenues for aspiring professionals. A good example is pursuing a career as a speech-language pathologist, who utilize functional near-infrared spectroscopy among other tools to assess and treat speech disorders. These professionals can work in a multitude of environments such as schools, hospitals, and rehabilitation centers. If you're interested in the intersection of Neuroscience and Optical Spectroscopy and would like to learn more about its real-world applications, consider reading more on how to pursue a career as a speech-language pathologist. For instance, our guide on how to be a speech therapist in Ohio provides detailed information on the requisite training, certification, and possible career outlook in this field.

Top Publications

  • Best practices for fNIRS publications

    Meryem A. Yücel;Alexander v. Lühmann;Alexander v. Lühmann;Felix Scholkmann;Judit Gervain

    (2021)
    440 Citations
  • NIRS-KIT: a MATLAB toolbox for both resting-state and task fNIRS data analysis.

    Xin Hou;Zong Zhang;Chen Zhao;Lian Duan

    (2021)
    233 Citations
  • Optical imaging and spectroscopy for the study of the human brain: status report

    (2022)
    159 Citations
  • Analysis methods for measuring passive auditory fNIRS responses generated by a block-design paradigm.

    Robert Luke;Robert Luke;Eric D. Larson;Maureen J. Shader;Maureen J. Shader;Hamish Innes-Brown

    (2021)
    124 Citations
  • Quantitative comparison of correction techniques for removing systemic physiological signal in functional near-infrared spectroscopy studies.

    Hendrik Santosa;Xuetong Zhai;Frank Fishburn;Patrick J. Sparto

    (2020)
    123 Citations
  • Deep learning in fNIRS: a review

    (2022)
    92 Citations
  • Short-channel regression in functional near-infrared spectroscopy is more effective when considering heterogeneous scalp hemodynamics.

    Dominik Wyser;Dominik Wyser;Michelle Mattille;Martin Wolf;Olivier Lambercy

    (2020)
    65 Citations
  • Overview of extracellular vesicle characterization techniques and introduction to combined reflectance and fluorescence confocal microscopy to distinguish extracellular vesicle subpopulations

    (2022)
    63 Citations
  • Systemic physiology augmented functional near-infrared spectroscopy: a powerful approach to study the embodied human brain

    (2022)
    45 Citations

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