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IEEE Magnetics Letters
H-index 11

IEEE Magnetics Letters

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Physics 304 5 9 3
Electronics and Electrical Engineering 350 13 23 9

Additional Metrics

Number of Best Scientists*: 59
Documents by Best Scientists*: 68
Top 100 Ranked Scientists*: 1
SCIMAGO H-index: 33
SCIMAGO SJR: 0.308
Impact Factor: 1.4

Overview

Top Research Topics at IEEE Magnetics Letters?

The aim of the journal is to expand the discussion of research in Condensed matter physics, Magnetic field, Magnetization, Nuclear magnetic resonance and Ferromagnetism. Condensed matter physics research presented in IEEE Magnetics Letters encompasses a variety of subjects, including Magnetic domain, Magnetoresistance, Magnetic anisotropy, Magnetic hysteresis and Ferromagnetic resonance. Topics in Magnetic domain were tackled in line with various other fields like Domain wall (magnetism) and Magnetic susceptibility.

The Magnetic anisotropy study featured in the journal draws parallels with the field of Anisotropy. The tackled Magnetic field research is interrelated with Electromagnetic coil which concerns subjects like Acoustics. Demagnetizing field and Magnetization dynamics are all aspects of Magnetization discussed in it.

IEEE Magnetics Letters explores issues in Nuclear magnetic resonance which can be linked to other research areas like Optoelectronics, Coercivity and Saturation (magnetic). It facilitates discussions on Coercivity that incorporate concepts from other fields like Thin film, Annealing (metallurgy) and Remanence. The in-depth study on Ferromagnetism also explores topics in the intersecting field of Antiferromagnetism.

  • Condensed matter physics (42.45%)
  • Magnetic field (20.24%)
  • Magnetization (17.98%)

What are the most cited papers published in the journal?

  • Nanometer-Thick Yttrium Iron Garnet Films With Extremely Low Damping (183 citations)
  • Domain Structure in CoFeB Thin Films With Perpendicular Magnetic Anisotropy (110 citations)
  • Low Energy Magnetic Domain Wall Logic in Short, Narrow, Ferromagnetic Wires (105 citations)

Research areas of the most cited articles at IEEE Magnetics Letters:

The published papers aim to foster the development of research in Condensed matter physics, Nuclear magnetic resonance, Magnetoresistance, Magnetic anisotropy and Magnetic field. The journal articles hold forums on Condensed matter physics that merge themes from other disciplines such as Magnetic domain, Magnetization and Perpendicular. The journal articles with studies in Nuclear magnetic resonance featured incorporate elements of Power (physics), Saturation (magnetic), Optoelectronics, Voltage and Composite material.

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

  • Quantum mechanics
  • Magnetic field
  • Electrical engineering

The previous edition focused in particular on these issues:

IEEE Magnetics Letters mainly deals with areas of study such as Magnetic field, Condensed matter physics, Magnetization, Ferromagnetism and Magnet. The featured Magnetic field research zeroes in on concepts in Magnetometer but also tackles themes under Aggregation kinetics. The main emphasis of it is the research on Condensed matter physics, emphasizing the topic of Coercivity.

The journal facilitates discussions in Stoner–Wohlfarth model as part of the larger field of Magnetization, however, it also tackles fields such as Capsule. While Ferromagnetism is the focus of the journal, it also provided insights into the studies of Time domain, Core (optical fiber), Magnetic memory, NAND gate and Torque. The research on Magnet featured in it combines topics in other fields like Magnetic hysteresis, Vector field, Deflection (engineering) and Bistability.

The most cited articles from the last journal are:

  • Controllable Reset Behavior in Domain Wall–Magnetic Tunnel Junction Artificial Neurons for Task-Adaptable Computation (2 citations)
  • Implementation of Artificial Neural Networks Using Magnetoresistive Random-Access Memory-Based Stochastic Computing Units (2 citations)
  • Numerical Ferromagnetic Resonance Experiments in Nanosized Elements (2 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 IEEE Magnetics Letters (based on the number of publications) are:

  • Yang-Ki Hong (11 papers) published 1 paper at the last edition,
  • Caroline A. Ross (10 papers) absent at the last edition,
  • Johan Åkerman (10 papers) absent at the last edition,
  • Raju V. Ramanujan (8 papers) absent at the last edition,
  • Kaushik Roy (8 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 IEEE Magnetics Letters (based on the number of publications) are:

  • Tohoku University (24 papers) absent at the last edition,
  • Northeastern University (15 papers) absent at the last edition,
  • Purdue University (13 papers) absent at the last edition,
  • University of Alabama (12 papers) published 1 paper at the last edition,
  • Nanyang Technological University (11 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, 27.50% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 13.79% 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 31.03% 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

  • Theoretical Circuit Design of an Efficient Spintronic Random Number Generator With an Internal Postprocessing Unit

    (2022)
    25 Citations
  • A Novel Eddy Current Speed Sensor With a Ferrite E-Core

    Mehran Mirzaei;Pavel Ripka;Vaclav Grim

    (2020)
    17 Citations
  • A Task-Schedulable Nonvolatile Spintronic Field-Programmable Gate Array

    Abdolah Amirany;Kian Jafari;Mohammad Hossein Moaiyeri

    (2021)
    15 Citations
  • Radiation-Immune Spintronic Binary Synapse and Neuron for Process-in-Memory Architecture

    (2024)
    14 Citations
  • BVA-NQSL: A Bio-Inspired Variation-Aware Nonvolatile Quaternary Spintronic Latch

    Abdolah Amirany;Kian Jafari;Mohammad Hossein Moaiyeri

    (2020)
    14 Citations
  • Experimental Demonstration of a Spin-Wave Lens Designed With Machine Learning

    (2022)
    14 Citations
  • Hybrid MTJ/CNTFET-Based Binary Synapse and Neuron for Process-in-Memory Architecture

    (2023)
    12 Citations
  • Novel Radiation Hardened Magnetic Full Adder Using Spin-Orbit Torque for Multinode Upset

    (2022)
    11 Citations
  • Toward Efficient Logic-in-Memory Computing With Magnetic Reconfigurable Logic Circuits

    (2022)
    10 Citations
  • Gaussian Random Number Generator With Reconfigurable Mean and Variance Using Stochastic Magnetic Tunnel Junctions

    (2021)
    6 Citations

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