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Nature Reviews Materials
H-index 131

Nature Reviews Materials

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Materials Science 22 288 222 108

Additional Metrics

Number of Best Scientists*: 456
Documents by Best Scientists*: 292
Top 100 Ranked Scientists*: 46
SCIMAGO H-index: 215
SCIMAGO SJR: 19.43
Impact Factor: 86.2

Overview

Top Research Topics at Nature Reviews Materials?

Nanotechnology, Condensed matter physics, Optoelectronics, Polymer and Semiconductor are the subjects of interest in Nature Reviews Materials. The studies on Nanotechnology discussed can also contribute to research in the domains of Molecule and Electronics.

  • Nanotechnology (28.87%)
  • Condensed matter physics (5.39%)
  • Optoelectronics (4.87%)

What are the most cited papers published in the journal?

  • 2D metal carbides and nitrides (MXenes) for energy storage (2721 citations)
  • Analysis of nanoparticle delivery to tumours (2186 citations)
  • Promise and reality of post-lithium-ion batteries with high energy densities (2133 citations)

Research areas of the most cited articles at Nature Reviews Materials:

The published articles investigate studies in Nanotechnology, Semiconductor, Graphene, Engineering physics and Photovoltaic system. The journal articles are mostly focused on Nanotechnology, specifically Nanostructure. The most cited papers facilitate discussions on Graphene that incorporate concepts from other fields like Flexible electronics, Spintronics and Carbon nanotube.

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

  • Quantum mechanics
  • Electron
  • Nanotechnology

The previous edition focused in particular on these issues:

The topics of Nanotechnology, Polymer, Artificial intelligence, Condensed matter physics and Nanoparticle are the focal point of discussions in Nature Reviews Materials. Characterization (materials science) is a primary topic of Nanotechnology research in it. The Artificial intelligence study featured in it draws connections with the study of Machine learning.

The most cited articles from the last journal are:

  • Deep neural networks for the evaluation and design of photonic devices (46 citations)
  • Polymer photocatalysts for solar-to-chemical energy conversion (39 citations)
  • Production routes to tailor the performance of cellulose nanocrystals (38 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 Nature Reviews Materials (based on the number of publications) are:

  • Giulia Pacchioni (56 papers) published 10 papers at the last edition, 2 less than at the previous edition,
  • Alison Stoddart (33 papers) published 1 paper at the last edition, 4 less than at the previous edition,
  • Christine-Maria Horejs (24 papers) absent at the last edition,
  • Adam Brotchie (19 papers) absent at the last edition,
  • Christine Horejs (18 papers) published 13 papers at the last edition, 8 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 Nature Reviews Materials (based on the number of publications) are:

  • Massachusetts Institute of Technology (29 papers) published 11 papers at the last edition, 8 more than at the previous edition,
  • Harvard University (20 papers) published 3 papers at the last edition, 4 less than at the previous edition,
  • University of California, Berkeley (17 papers) published 4 papers at the last edition the same number as at the previous edition,
  • Stanford University (14 papers) published 5 papers at the last edition, 3 more than at the previous edition,
  • University of Toronto (13 papers) published 4 papers at the last edition, 2 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, 28.12% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 28.26% were posted by at least one author from the top 10 institutions publishing in the journal. Another 17.39% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 18.48% of all publications and 35.87% 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

  • Lipid nanoparticles for mRNA delivery.

    Xucheng Hou;Tal Zaks;Robert Langer;Yizhou Dong

    (2021)
    3134 Citations
  • Designing solid-state electrolytes for safe, energy-dense batteries

    Qing Zhao;Sanjuna Stalin;Chen-Zi Zhao;Chen-Zi Zhao;Lynden A. Archer

    (2020)
    2130 Citations
  • Achieving high energy density and high power density with pseudocapacitive materials

    Christopher S Choi;David S. Ashby;David S. Ashby;Danielle M. Butts;Ryan H. DeBlock

    (2020)
    1777 Citations
  • High-entropy ceramics

    Corey Oses;Cormac Toher;Stefano Curtarolo

    (2020)
    1754 Citations
  • Room-temperature phosphorescence from organic aggregates

    Weijun Zhao;Zikai He;Ben Zhong Tang

    (2020)
    1565 Citations
  • Materials design for bone-tissue engineering

    Gerry L. Koons;Mani Diba;Antonios G. Mikos

    (2020)
    1565 Citations
  • The stiffness of living tissues and its implications for tissue engineering

    Carlos F. Guimarães;Luca Gasperini;Alexandra P. Marques;Rui L. Reis

    (2020)
    1392 Citations
  • Materials for solar-powered water evaporation

    Fei Zhao;Youhong Guo;Xingyi Zhou;Wen Shi

    (2020)
    1367 Citations
  • Self-healing polymers

    Siyang Wang;Marek W. Urban

    (2020)
    1239 Citations
  • Minimizing non-radiative recombination losses in perovskite solar cells

    Deying Luo;Rui Su;Wei Zhang;Wei Zhang;Qihuang Gong;Qihuang Gong

    (2020)
    1153 Citations

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Best Scientists Contributing to This Journal