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Computer Methods in Biomechanics and Biomedical Engineering
H-index 17

Computer Methods in Biomechanics and Biomedical Engineering

1025-5842

Published by: Taylor & Francis

https://www.tandfonline.com/toc/gcmb20/current

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Engineering and Technology 684 52 75 12
Computer Science 759 23 22 6

Additional Metrics

Number of Best Scientists*: 170
Documents by Best Scientists*: 218
Top 100 Ranked Scientists*: 6
SCIMAGO H-index: 71
SCIMAGO SJR: 0.398
Impact Factor: 1.6

Overview

Top Research Topics at Computer Methods in Biomechanics and Biomedical Engineering?

Computer Methods in Biomechanics and Biomedical Engineering is mainly concerned with subjects like Finite element method, Biomedical engineering, Structural engineering, Anatomy and Physical medicine and rehabilitation. It addresses concerns in Finite element method which are intertwined with other disciplines, such as Biomechanics, Stress (mechanics), Composite material, Orthodontics and Mechanics. While it focused on Physical medicine and rehabilitation, it was also able to explore topics like Physical therapy and Kinematics.

  • Finite element method (20.17%)
  • Biomedical engineering (14.37%)
  • Structural engineering (10.38%)

What are the most cited papers published in the journal?

  • Quantification of Bone Microarchitecture with the Structure Model Index. (914 citations)
  • A Dynamic Optimization Solution for Vertical Jumping in Three Dimensions. (440 citations)
  • Medical image registration: a review. (432 citations)

Research areas of the most cited articles at Computer Methods in Biomechanics and Biomedical Engineering:

The journal publications focus largely on the fields of Finite element method, Biomedical engineering, Mechanics, Structural engineering and Anatomy. The featured Finite element method studies in the most cited publications mainly concentrate on Biomechanics but also cover areas of interest in Simulation and Kinematics. The works on Biomedical engineering tackled in the journal articles bring together disciplines like Stent and Bone remodeling.

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:

The journal generally zeroes in on subjects such as Finite element method, Orthodontics, Physical medicine and rehabilitation, Biomedical engineering and Artificial intelligence. Finite element method research presented in the journal encompasses a variety of subjects, including Stress (mechanics), Mechanics and Biomechanics. While work presented in the journal provided substantial information on Orthodontics, it also covered topics in Stress distribution and Reduction (orthopedic surgery).

The studies in Physical medicine and rehabilitation featured incorporate elements of Rehabilitation and Athletes. Artificial intelligence research featured in the journal incorporates concerns from various other topics such as Machine learning and Pattern recognition.

The most cited articles from the last journal are:

  • Are college campuses superspreaders? A data-driven modeling study. (15 citations)
  • Implant primary stability with an osteocondensation drilling protocol in different density polyurethane blocks (13 citations)
  • Classification of normal sinus rhythm, abnormal arrhythmia and congestive heart failure ECG signals using LSTM and hybrid CNN-SVM deep neural networks. (6 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 Computer Methods in Biomechanics and Biomedical Engineering (based on the number of publications) are:

  • Raphaël Dumas (46 papers) absent at the last edition,
  • Hélène Pillet (42 papers) published 1 paper at the last edition, 5 less than at the previous edition,
  • Alexandre Terrier (41 papers) published 2 papers at the last edition,
  • Christophe Sauret (38 papers) absent at the last edition,
  • Laurence Cheze (38 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 Computer Methods in Biomechanics and Biomedical Engineering (based on the number of publications) are:

  • Centre national de la recherche scientifique (146 papers) absent at the last edition,
  • Arts et Métiers ParisTech (123 papers) absent at the last edition,
  • University of Lyon (120 papers) absent at the last edition,
  • University of Poitiers (82 papers) absent at the last edition,
  • University of Technology of Compiègne (78 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, 4.95% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 2.84% were posted by at least one author from the top 10 institutions publishing in the journal. Another 4.27% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 12.80% of all publications and 80.09% 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

  • The impact of calcification patterns in transcatheter aortic valve performance: a fluid-structure interaction analysis.

    Giulia Luraghi;Jose Felix Rodriguez Matas;Marta Beretta;Nicole Chiozzi

    (2021)
    38 Citations
  • A computational framework to solve the nonlinear dengue fever SIR system

    (2022)
    32 Citations
  • Computational modelling of nasal respiratory flow

    H Calmet;K Inthavong;H Owen;D Dosimont

    (2021)
    26 Citations
  • Non - invasive modelling methodology for the diagnosis of coronary artery disease using fuzzy cognitive maps

    Ioannis D. Apostolopoulos;Peter P. Groumpos

    (2020)
    22 Citations
  • Investigation of airflow at different activity conditions in a realistic model of human upper respiratory tract.

    Reza Tabe;Roohollah Rafee;Mohammad Sadegh Valipour;Goodarz Ahmadi

    (2021)
    20 Citations
  • Biomechanical performance design of joint prosthesis for medical rehabilitation via generative structure optimization.

    Jinghua Xu;Kang Wang;Mingyu Gao;Zhengxin Tu

    (2020)
    19 Citations
  • Intelligent solution predictive networks for non-linear tumor-immune delayed model.

    (2023)
    19 Citations
  • Occupant kinematics and biomechanics during frontal collision in autonomous vehicles—can rotatable seat provides additional protection?

    Hequan Wu;Haibin Hou;Ming Shen;King H. Yang

    (2020)
    19 Citations
  • Occlusal load modelling significantly impacts the predicted tooth stress response during biting: a simulation study

    (2020)
    19 Citations
  • Studying the effects of asymmetry on freestyle swimming using smoothed particle hydrodynamics.

    Raymond C. Z. Cohen;Paul W. Cleary;Bruce R. Mason;David L. Pease

    (2020)
    17 Citations

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Best Scientists Contributing to This Journal