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Journal of Magnetic Resonance
H-index 22

Journal of Magnetic Resonance

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Physics 199 10 16 9
Chemistry 393 111 196 20

Additional Metrics

Number of Best Scientists*: 191
Documents by Best Scientists*: 287
Top 100 Ranked Scientists*: 4
SCIMAGO H-index: 147
SCIMAGO SJR: 0.554
Impact Factor: 1.9

Overview

Top Research Topics at Journal of Magnetic Resonance?

Journal of Magnetic Resonance investigates studies in Nuclear magnetic resonance, Analytical chemistry, Spectral line, Molecular physics and Nuclear magnetic resonance spectroscopy. Spectroscopy, Magnetic field and Atomic physics are some topics wherein Nuclear magnetic resonance research discussed in Journal of Magnetic Resonance have an impact. While Analytical chemistry is the key highlight in the journal, it also covered some subjects on Solid-state nuclear magnetic resonance and Magic angle spinning.

Topics in Spectral line explored in Journal of Magnetic Resonance were investigated in conjunction with research in Crystallography, Electron paramagnetic resonance and Coupling constant. The Electron paramagnetic resonance study tackled is a key component of adjacent topics in the area of Hyperfine structure. The research on Molecular physics featured in Journal of Magnetic Resonance combines topics in other fields like Dipole, Spins, Condensed matter physics, Homonuclear molecule and Anisotropy.

The Nuclear magnetic resonance spectroscopy study featured in Journal of Magnetic Resonance draws connections with the study of Two-dimensional nuclear magnetic resonance spectroscopy. It emphasizes research on Relaxation (NMR), which includes concerns such as Spin–lattice relaxation. It focused on Pulse sequence research but expanded to cover Heteronuclear molecule.

  • Nuclear magnetic resonance (33.67%)
  • Analytical chemistry (27.53%)
  • Spectral line (16.66%)

What are the most cited papers published in the journal?

  • EasySpin, a comprehensive software package for spectral simulation and analysis in EPR. (3688 citations)
  • MLEV-17-based two-dimensional homonuclear magnetization transfer spectroscopy (3396 citations)
  • Coherence transfer by isotropic mixing: Application to proton correlation spectroscopy (2489 citations)

Research areas of the most cited articles at Journal of Magnetic Resonance:

The most cited papers mainly deal with areas of study such as Nuclear magnetic resonance, Analytical chemistry, Spectral line, Pulse sequence and Nuclear magnetic resonance spectroscopy. The journal papers with studies in Nuclear magnetic resonance featured incorporate elements of Computational physics, Signal and Atomic physics. The journal papers hold forums on Analytical chemistry that merge themes from other disciplines such as Spectroscopy, Solid-state nuclear magnetic resonance, NMR spectra database, Molecular physics and Magic angle spinning.

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

  • Quantum mechanics
  • Organic chemistry
  • Enzyme

The previous edition focused in particular on these issues:

Journal of Magnetic Resonance focuses largely on the fields of Relaxation (NMR), Signal, Molecular physics, Nuclear magnetic resonance and Magnet. Relaxation (NMR) research presented in the journal encompasses a variety of subjects, including Chemical physics, Dipole, Field (physics) and Spin-½. Some problems in Molecular physics that were presented in the journal overlapped with concepts under Polarization (waves), Spins, Magic angle spinning, Electron and Anisotropy.

Spins research featured in it incorporates concerns from various other topics such as Spectral line and Magnetization. The presented Anisotropy research focuses mostly on Solid-state nuclear magnetic resonance and, on occasion, topics in Crystallography. Issues in Magnet were discussed, taking into consideration concepts from other disciplines like Field strength, Magnetic field, Optics and Electromagnetic coil.

The most cited articles from the last journal are:

  • T1-T2* relaxation correlation measurements (6 citations)
  • Low field, time domain NMR in the agriculture and agrifood sectors: An overview of applications in plants, foods and biofuels (6 citations)
  • Deuterium metabolic imaging - Back to the future. (5 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 Magnetic Resonance (based on the number of publications) are:

  • Ray Freeman (135 papers) absent at the last edition,
  • Geoffrey Bodenhausen (97 papers) absent at the last edition,
  • Ad Bax (96 papers) absent at the last edition,
  • Richard R. Ernst (89 papers) absent at the last edition,
  • Gareth R. Eaton (88 papers) published 2 papers at the last edition, 1 more 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 Journal of Magnetic Resonance (based on the number of publications) are:

  • National Institutes of Health (298 papers) published 1 paper at the last edition, 5 less than at the previous edition,
  • Max Planck Society (282 papers) published 3 papers at the last edition, 2 more than at the previous edition,
  • University of Oxford (240 papers) published 1 paper at the last edition the same number as at the previous edition,
  • University of Cambridge (211 papers) absent at the last edition,
  • ETH Zurich (201 papers) published 4 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, 15.47% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 15.69% were posted by at least one author from the top 10 institutions publishing in the journal. Another 7.19% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 16.34% of all publications and 60.78% 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

  • Zero- to ultralow-field nuclear magnetic resonance J-spectroscopy with commercial atomic magnetometers.

    John W. Blanchard;Teng Wu;James Eills;Yinan Hu

    (2020)
    65 Citations
  • Sensitivity boosts by the CPMAS CryoProbe for challenging biological assemblies.

    Alia Hassan;Caitlin M. Quinn;Jochem Struppe;Ivan V. Sergeyev

    (2020)
    58 Citations
  • Lower than low: Perspectives on zero- to ultralow-field nuclear magnetic resonance.

    John W. Blanchard;Dmitry Budker;Andreas Trabesinger

    (2021)
    50 Citations
  • Neural networks in pulsed dipolar spectroscopy: A practical guide.

    (2021)
    47 Citations
  • Progress in miniaturization and low-field nuclear magnetic resonance

    Jens Anders;Frederik Dreyer;Daniel Krüger;Daniel Krüger;Ilai Schwartz

    (2021)
    41 Citations
  • A master equation for spin systems far from equilibrium.

    Christian Bengs;Malcolm H. Levitt

    (2020)
    34 Citations
  • Deconvolution of 1D NMR spectra: A deep learning-based approach

    (2022)
    32 Citations
  • Analysis of three-site T2-T2 exchange NMR.

    Yang Gao;Yang Gao;Bernhard Blümich

    (2020)
    31 Citations
  • Hyperpolarization transfer pathways in inorganic materials.

    Snædís Björgvinsdóttir;Pinelopi Moutzouri;Brennan J. Walder;Nicolas Matthey

    (2021)
    30 Citations

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Best Scientists Contributing to This Journal