World's Best Scientists 2026 revealed!
Additive Manufacturing
H-index 94

Additive Manufacturing

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Mechanical and Aerospace Engineering 12 178 340 57
Materials Science 53 591 1116 83

Additional Metrics

Number of Best Scientists*: 1015
Documents by Best Scientists*: 1600
Top 100 Ranked Scientists*: 24
SCIMAGO H-index: 168
SCIMAGO SJR: 2.877
Impact Factor: 11.1

Overview

Top Research Topics at Additive manufacturing?

Additive manufacturing explores disciplines such as Composite material, Microstructure, Ultimate tensile strength, Selective laser melting and Alloy. The Composite material study featured in the journal draws parallels with the field of Laser. The majority of Laser studies in it are focused on the subject of Laser power scaling.

In Additive manufacturing, Ductility and Texture (crystalline) are investigated in conjunction with one another to address concerns in Microstructure research. Tensile testing is a major topic of Ultimate tensile strength research presented in it. It investigates Selective laser melting research which frequently intersects with Residual stress.

Additive manufacturing focuses on Alloy research which is adjacent to topics in Phase (matter). The journal is concerned with the study of Fused filament fabrication and 3D printing in general.

  • Composite material (51.39%)
  • Microstructure (21.88%)
  • Ultimate tensile strength (16.08%)

What are the most cited papers published in the journal?

  • Reducing porosity in AlSi10Mg parts processed by selective laser melting (633 citations)
  • Analysis of defect generation in Ti–6Al–4V parts made using powder bed fusion additive manufacturing processes (483 citations)
  • Mechanical characterization of 3D-printed polymers (483 citations)

Research areas of the most cited articles at Additive manufacturing:

The most cited articles focus largely on the fields of Composite material, Selective laser melting, Microstructure, Metallurgy and Mechanical engineering. Ultimate tensile strength, Alloy, Fused filament fabrication, Porosity and Extrusion are all topics related to Composite material research discussed in the journal publications. The most cited papers address concerns in Selective laser melting which are intertwined with other disciplines, such as Residual stress and Engineering drawing.

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

  • Composite material
  • Mechanical engineering
  • Artificial intelligence

The previous edition focused in particular on these issues:

The foci of the journal are Composite material, Microstructure, Ultimate tensile strength, Alloy and Porosity. The study on Composite material presented is investigated in conjunction with research in Laser. The Microstructure study featured in it draws connections with the study of Texture (crystalline).

The studies in Ultimate tensile strength featured incorporate elements of Polymer and Martensite. The Alloy research discussed is included in the broader subject of Metallurgy. Porosity research discussed connects with the study of Sintering.

The most cited articles from the last journal are:

  • Surface post-treatments for metal additive manufacturing: Progress, challenges, and opportunities (34 citations)
  • About metastable cellular structure in additively manufactured austenitic stainless steels (20 citations)
  • Fused filament fabrication of polymer materials: A review of interlayer bond (20 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 Additive manufacturing (based on the number of publications) are:

  • Ian Ashcroft (24 papers) published 5 papers at the last edition, 3 more than at the previous edition,
  • Amit Bandyopadhyay (21 papers) published 3 papers at the last edition, 2 less than at the previous edition,
  • Albert C. To (21 papers) published 7 papers at the last edition, 1 more than at the previous edition,
  • Akihiko Chiba (19 papers) published 3 papers at the last edition, 2 less than at the previous edition,
  • Mohsen Mohammadi (17 papers) published 6 papers at the last edition, 3 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 Additive manufacturing (based on the number of publications) are:

  • Oak Ridge National Laboratory (75 papers) published 25 papers at the last edition, 6 more than at the previous edition,
  • University of Nottingham (57 papers) published 9 papers at the last edition, 2 less than at the previous edition,
  • Pennsylvania State University (55 papers) published 15 papers at the last edition, 1 more than at the previous edition,
  • Nanyang Technological University (43 papers) published 22 papers at the last edition, 7 more than at the previous edition,
  • University of Tennessee (43 papers) published 18 papers at the last edition, 7 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, 2.82% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 19.42% were posted by at least one author from the top 10 institutions publishing in the journal. Another 10.09% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 22.02% of all publications and 48.47% 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

  • Machine learning in additive manufacturing: State-of-the-art and perspectives

    Chengcheng Wang;Xipeng Tan;Shu Beng Tor;C.S. Lim

    (2020)
    629 Citations
  • About metastable cellular structure in additively manufactured austenitic stainless steels

    Decheng Kong;Decheng Kong;Chaofang Dong;Shaolou Wei;Xiaoqing Ni

    (2021)
    495 Citations
  • Surface post-treatments for metal additive manufacturing: Progress, challenges, and opportunities

    Erfan Maleki;Sara Bagherifard;Michele Bandini;Mario Guagliano

    (2021)
    478 Citations
  • Research and Application of Machine Learning for Additive Manufacturing

    Unknown

    (2022)
    440 Citations
  • Additive manufacturing of metamaterials: A review

    Meisam Askari;David A. Hutchins;Peter J. Thomas;Lorenzo Astolfi

    (2020)
    422 Citations
  • Fused filament fabrication of polymer materials: A review of interlayer bond

    Xia Gao;Shunxin Qi;Xiao Kuang;Yunlan Su

    (2021)
    372 Citations
  • Additive manufacturing of functionally graded metallic materials using laser metal deposition

    Lei Yan;Yitao Chen;Frank W. Liou

    (2020)
    339 Citations
  • Influence of particle morphology and size distribution on the powder flowability and laser powder bed fusion manufacturability of Ti-6Al-4V alloy

    Salah Eddine Brika;Morgan Letenneur;Christopher Alex Dion;Vladimir Brailovski

    (2020)
    329 Citations
  • In-situ sensing, process monitoring and machine control in Laser Powder Bed Fusion: A review

    Ronan McCann;Muhannad A. Obeidi;Cian Hughes;Éanna McCarthy

    (2021)
    311 Citations
  • Defect structure process maps for laser powder bed fusion additive manufacturing

    Jerard V. Gordon;Sneha P. Narra;Ross W. Cunningham;He Liu

    (2020)
    303 Citations

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Best Scientists Contributing to This Journal