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Biomechanics and Modeling in Mechanobiology
H-index 28

Biomechanics and Modeling in Mechanobiology

1617-7959

Published by: Springer

https://www.springer.com/journal/10237

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Mechanical and Aerospace Engineering 111 51 82 21
Engineering and Technology 354 68 106 22

Additional Metrics

Number of Best Scientists*: 198
Documents by Best Scientists*: 238
Top 100 Ranked Scientists*: 10
SCIMAGO H-index: 88
SCIMAGO SJR: 0.741
Impact Factor: 2.7

Overview

Top Research Topics at Biomechanics and Modeling in Mechanobiology?

Biomedical engineering, Finite element method, Mechanics, Anatomy and Biophysics are the subjects of interest in the journal. The work on Biomedical engineering tackled in Biomechanics and Modeling in Mechanobiology brings together disciplines like Cartilage, Stiffness, Mechanobiology and Biomechanics. In the journal, Composite material and Anisotropy are investigated in conjunction with one another to address concerns in Finite element method research.

Topics in Mechanics explored in the journal were investigated in conjunction with research in Viscoelasticity and Nonlinear system. Biophysics research presented in it encompasses a variety of subjects, including Mechanotransduction and Extracellular matrix. Studies on Structural engineering discussed in Biomechanics and Modeling in Mechanobiology link to the field of Stress (mechanics).

  • Biomedical engineering (23.00%)
  • Finite element method (18.95%)
  • Mechanics (17.49%)

What are the most cited papers published in the journal?

  • Experimental investigation of collagen waviness and orientation in the arterial adventitia using confocal laser scanning microscopy. (602 citations)
  • An introductory review of cell mechanobiology. (440 citations)
  • Single lamellar mechanics of the human lumbar anulus fibrosus (302 citations)

Research areas of the most cited articles at Biomechanics and Modeling in Mechanobiology:

The most cited articles investigate studies in Biomedical engineering, Finite element method, Mechanics, Composite material and Anatomy. The studies on Biomedical engineering discussed at the published papers can also contribute to research in the domains of Biological system, Mechanobiology and Biomechanics. The Mechanics research presented in the journal articles focuses mostly on Stress (mechanics) and, on occasion, topics in Biophysics.

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

  • Internal medicine
  • Surgery
  • Composite material

The previous edition focused in particular on these issues:

Biomechanics and Modeling in Mechanobiology aims to foster the development of research in Mechanics, Biomedical engineering, Finite element method, Biophysics and Biomechanics. Biomechanics and Modeling in Mechanobiology focuses on Mechanics but the discussions also offer insight into other areas such as Fluid–structure interaction and Hyperelastic material. It facilitates discussions on Biomedical engineering that incorporate concepts from other fields like Stress (mechanics) and Osteoporosis.

Research on Finite element method presented in Biomechanics and Modeling in Mechanobiology concerns the broader topic of Structural engineering. Issues in Biophysics were discussed, taking into consideration concepts from other disciplines like Poromechanics, Strain (chemistry), Mechanosensitive channels, Mechanotransduction and Extracellular matrix. The journal addresses concerns in Biomechanics which are intertwined with other disciplines, such as Work (physics) and Kinematics.

The most cited articles from the last journal are:

  • An anatomically detailed and personalizable head injury model: Significance of brain and white matter tract morphological variability on strain (24 citations)
  • Global and local mobility as a barometer for COVID-19 dynamics. (17 citations)
  • Towards enabling a cardiovascular digital twin for human systemic circulation using inverse analysis (15 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 Biomechanics and Modeling in Mechanobiology (based on the number of publications) are:

  • Philippe K. Zysset (18 papers) absent at the last edition,
  • Ellen Kuhl (17 papers) published 2 papers at the last edition, 1 more than at the previous edition,
  • Jay D. Humphrey (14 papers) published 3 papers at the last edition, 2 more than at the previous edition,
  • Keita Ito (14 papers) absent at the last edition,
  • Taiji Adachi (13 papers) published 1 paper at the last edition, 1 less 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 Biomechanics and Modeling in Mechanobiology (based on the number of publications) are:

  • Eindhoven University of Technology (48 papers) published 1 paper at the last edition, 4 less than at the previous edition,
  • Stanford University (40 papers) published 4 papers at the last edition, 1 less than at the previous edition,
  • University of Auckland (37 papers) published 2 papers at the last edition, 6 less than at the previous edition,
  • Imperial College London (35 papers) published 4 papers at the last edition the same number as at the previous edition,
  • Polytechnic University of Milan (35 papers) published 1 paper at the last edition the same number as 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, 0.62% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 14.47% were posted by at least one author from the top 10 institutions publishing in the journal. Another 7.55% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 19.50% of all publications and 58.49% 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

  • Fluid–structure interaction simulations of patient-specific aortic dissection

    Kathrin Bäumler;Vijay Vedula;Anna M Sailer;Jongmin Seo

    (2020)
    182 Citations
  • Outbreak dynamics of COVID-19 in China and the United States.

    Mathias Peirlinck;Kevin Linka;Francisco Sahli Costabal;Ellen Kuhl

    (2020)
    172 Citations
  • Precision medicine in human heart modeling : Perspectives, challenges, and opportunities.

    M. Peirlinck;F. Sahli Costabal;J. Yao;J. M. Guccione

    (2021)
    138 Citations
  • Towards enabling a cardiovascular digital twin for human systemic circulation using inverse analysis

    Neeraj Kavan Chakshu;Igor Sazonov;Perumal Nithiarasu

    (2021)
    117 Citations
  • Machine learning methods to support personalized neuromusculoskeletal modelling

    David J Saxby;Bryce Adrian Killen;C Pizzolato;C P Carty;C P Carty

    (2020)
    63 Citations
  • Numerical evaluation of transcatheter aortic valve performance during heart beating and its post-deployment fluid–structure interaction analysis

    Ram P Ghosh;Gil Marom;Matteo Bianchi;Karl D'souza

    (2020)
    59 Citations
  • A computational approach to model gliding motion of an organism on a sticky slime layer over a solid substrate

    (2022)
    58 Citations
  • Global and local mobility as a barometer for COVID-19 dynamics.

    Kevin Linka;Alain Goriely;Ellen Kuhl

    (2021)
    56 Citations
  • Locomotion of an efficient biomechanical sperm through viscoelastic medium.

    Zeeshan Asghar;Nasir Ali;Muhammad Waqas;Mubbashar Nazeer

    (2020)
    53 Citations

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Best Scientists Contributing to This Journal