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Journal of Near Infrared Spectroscopy
H-index 9

Journal of Near Infrared Spectroscopy

0967-0335

Published by: SAGE

https://journals.sagepub.com/home/jns

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Chemistry 964 6 9 5

Additional Metrics

Number of Best Scientists*: 34
Documents by Best Scientists*: 39
Top 100 Ranked Scientists*: 0
SCIMAGO H-index: 66
SCIMAGO SJR: 0.345
Impact Factor: 1.9

Overview

Top Research Topics at Journal of Near Infrared Spectroscopy?

Journal of Near Infrared Spectroscopy focuses largely on the fields of Near-infrared spectroscopy, Analytical chemistry, Partial least squares regression, Calibration and Near infrared radiation. It explores studies in Near-infrared spectroscopy as part of the wider topic of Optics. The concepts on Analytical chemistry presented in Journal of Near Infrared Spectroscopy can also apply to other research fields, including Moisture, Wavelength and Fourier transform.

The journal facilitates discussions on Partial least squares regression that incorporate concepts from other fields like Chromatography and Linear regression. Hyperspectral imaging is a primary topic of Remote sensing research in Journal of Near Infrared Spectroscopy.

  • Near-infrared spectroscopy (74.63%)
  • Analytical chemistry (42.64%)
  • Partial least squares regression (20.17%)

What are the most cited papers published in the journal?

  • Comparison of Commercial near Infrared Transmittance and Reflectance Instruments for Analysis of Whole Grains and Seeds (436 citations)
  • A review of band assignments in near infrared spectra of wood and wood components (341 citations)
  • The link between Multiplicative Scatter Correction (MSC) and Standard Normal Variate (SNV) transformations of NIR spectra (259 citations)

Research areas of the most cited articles at Journal of Near Infrared Spectroscopy:

The most cited publications generally zeroe in on subjects such as Near-infrared spectroscopy, Analytical chemistry, Partial least squares regression, Calibration and Near infrared radiation. The published articles explore research in Remote sensing and overlapping concepts in Multivariate calibration to expand the discourse in Near-infrared spectroscopy. The most cited publications focus on Analytical chemistry but the discussions also offer insight into other areas such as Near infrared reflectance spectroscopy, Second derivative, Soil water, Spectrometer and Principal component analysis.

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

  • Organic chemistry
  • Statistics
  • Food science

The previous edition focused in particular on these issues:

The scientific interests tackled in Journal of Near Infrared Spectroscopy are Near-infrared spectroscopy, Near infrared radiation, Analytical chemistry, Partial least squares regression and Chemometrics. The studies in Near-infrared spectroscopy featured incorporate elements of Starch, Infrared, Biological system, Soluble solids and Infrared spectroscopy. It holds forums on Near infrared radiation that merges themes from other disciplines such as Manufacturing process, Glass fiber, Gel time and Copper.

It focuses on Analytical chemistry but the discussions also offer insight into other areas such as Fourier transform infrared spectroscopy, Lignin and Polypropylene. Sample preparation, Linear discriminant analysis, Manure and Local regression are some topics wherein Partial least squares regression research discussed in it have an impact. The journal explores topics in Chemometrics which can be helpful for research in disciplines like Alcohol, Nutrient agar and Pellet.

The most cited articles from the last journal are:

  • Developing near infrared spectroscopy models for predicting chemistry and responses to stress in Pinus radiata (D. Don) (3 citations)
  • In-vitro spectrometric analysis of hyperlactatemia and lactic acidosis in buffer relating to sepsis (3 citations)
  • Near infrared spectroscopy determination of chemical and sensory properties in tomato (1 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 Journal of Near Infrared Spectroscopy (based on the number of publications) are:

  • Yukihiro Ozaki (28 papers) absent at the last edition,
  • Pierre Dardenne (23 papers) absent at the last edition,
  • James B. Reeves (22 papers) absent at the last edition,
  • Satoru Tsuchikawa (21 papers) absent at the last edition,
  • Paul Geladi (21 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 Journal of Near Infrared Spectroscopy (based on the number of publications) are:

  • Agricultural Research Service (36 papers) absent at the last edition,
  • Commonwealth Scientific and Industrial Research Organisation (28 papers) published 1 paper at the last edition, 1 less than at the previous edition,
  • University of Córdoba (Spain) (25 papers) published 1 paper at the last edition,
  • Kwansei Gakuin University (25 papers) absent at the last edition,
  • Nagoya University (22 papers) absent 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, 12.12% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 10.34% were posted by at least one author from the top 10 institutions publishing in the journal. Another 6.90% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 34.48% of all publications and 48.28% 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.

Top Publications

  • Transfer of a calibration model for the prediction of lignin in pulpwood among four portable near infrared spectrometers

    (2022)
    10 Citations
  • The use of two-dimensional spectroscopy to interpret the effect of temperature on the near infrared spectra of whisky:

    Ishita Joshi;Vi Khanh Truong;J Chapman;D Cozzolino

    (2020)
    10 Citations
  • Investigating the water structures in reverse micelles by temperature-dependent near infrared spectroscopy combined with independent component analysis

    (2022)
    8 Citations
  • Measurement of total soluble solids and moisture in puree and dry powder of Kakadu plum (Terminalia ferdinanadiana) samples using hand-held near infrared spectroscopy

    Eshetu M. Bobasa;Michael E. Netzel;Daniel Cozzolino;Anh Dao Thi Phan

    (2021)
    7 Citations
  • Evaluation of swelling properties and drug release from mechanochemical pre-gelatinized glutinous rice starch matrix tablets by near infrared spectroscopy:

    Tomomi Takaku;Yusuke Hattori;Tetsuo Sasaki;Tomoaki Sakamoto

    (2021)
    6 Citations
  • Seeking the structure of water from the combination of bending and stretching vibrations in near infrared spectra

    (2023)
    1 Citations
  • Quantitative analysis of the hexamethylenetetramine concentration in a hexamethylenetetramine–acetic acid solution using near infrared spectroscopy: A comprehensive study on preprocessing methods and variable selection techniques

    (2024)
    1 Citations
  • Predicting oil content of Australian beauty leaf tree kernel samples using near infrared spectroscopy combined with chemometrics

    (2024)
    0 Citations
  • Investigating partial least squares discriminant analysis and hierarchical modelling of short wave infrared hyperspectral imaging data to distinguish production area and quality of rooibos (Aspalathus linearis)

    (2023)
    0 Citations

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