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International Journal for Numerical Methods in Biomedical Engineering
H-index 19

International Journal for Numerical Methods in Biomedical Engineering

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Mathematics 189 12 23 13
Mechanical and Aerospace Engineering 213 27 53 13
Engineering and Technology 507 55 86 16

Additional Metrics

Number of Best Scientists*: 134
Documents by Best Scientists*: 183
Top 100 Ranked Scientists*: 4
SCIMAGO H-index: 77
SCIMAGO SJR: 0.548
Impact Factor: 2.4

Overview

Top Research Topics at International Journal for Numerical Methods in Biomedical Engineering?

The journal mainly deals with areas of study such as Finite element method, Mechanics, Biomedical engineering, Mathematical analysis and Algorithm. In addition to Finite element method research, it aims to explore topics under Discretization, Boundary value problem, Applied mathematics and Nonlinear system. The study on Applied mathematics presented in the journal intersects with subjects under the field of Mathematical optimization.

The journal focuses on Mechanics but the discussions also offer insight into other areas such as Fluid–structure interaction and Blood flow.

  • Finite element method (26.93%)
  • Mechanics (14.94%)
  • Biomedical engineering (11.38%)

What are the most cited papers published in the journal?

  • Immersed boundary model of aortic heart valve dynamics with physiological driving and loading conditions. (155 citations)
  • Numerical simulation of a thermodynamically consistent four-species tumor growth model (155 citations)
  • A systematic comparison between 1-D and 3-D hemodynamics in compliant arterial models. (135 citations)

Research areas of the most cited articles at International Journal for Numerical Methods in Biomedical Engineering:

The journal publications tackle a plethora of topics, such as Finite element method, Mechanics, Mathematical analysis, Fluid–structure interaction and Mathematical optimization. The most cited papers focus on Finite element method but the discussions also offer insight into other areas such as Discretization, Algorithm, Numerical analysis and Boundary value problem. The published articles with studies in Mechanics featured incorporate elements of Blood flow and Simulation.

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

  • Internal medicine
  • Surgery
  • Artificial intelligence

The previous edition focused in particular on these issues:

International Journal for Numerical Methods in Biomedical Engineering is organized to address concerns in the fields of Finite element method, Computational fluid dynamics, Artificial intelligence, Biomedical engineering and Mechanics. Topics in Finite element method were tackled in line with various other fields like Multi-objective optimization, Applied mathematics, Discretization, Stiffness and Robustness (computer science). Pressure drop, Airflow, Internal medicine and Cardiology are some topics wherein Computational fluid dynamics research discussed in the journal have an impact.

Artificial intelligence research featured in the journal incorporates concerns from various other topics such as Machine learning and Pattern recognition. In International Journal for Numerical Methods in Biomedical Engineering, Process (anatomy) and Biomechanics are investigated in conjunction with one another to address concerns in Biomedical engineering research. The research on Mechanics featured in the journal combines topics in other fields like Boundary value problem, Blood flow, Viscosity and Shear (sheet metal).

The most cited articles from the last journal are:

  • Polygonal surface processing and mesh generation tools for the numerical simulation of the cardiac function (9 citations)
  • Extended cubic B-spline collocation method for singularly perturbed parabolic differential-difference equation arising in computational neuroscience. (6 citations)
  • A physiologically realistic virtual patient database for the study of arterial haemodynamics. (4 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 International Journal for Numerical Methods in Biomedical Engineering (based on the number of publications) are:

  • Wolfgang A. Wall (22 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Perumal Nithiarasu (17 papers) published 2 papers at the last edition,
  • Alfio Quarteroni (16 papers) published 2 papers at the last edition,
  • Juan R. Cebral (15 papers) published 1 paper at the last edition,
  • Pablo J. Blanco (14 papers) published 1 paper at the last edition the same number as 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 International Journal for Numerical Methods in Biomedical Engineering (based on the number of publications) are:

  • Technische Universität München (33 papers) published 2 papers at the last edition the same number as at the previous edition,
  • Polytechnic University of Milan (31 papers) published 8 papers at the last edition,
  • Swansea University (28 papers) published 2 papers at the last edition the same number as at the previous edition,
  • French Institute for Research in Computer Science and Automation (22 papers) published 3 papers at the last edition the same number as at the previous edition,
  • University of Auckland (21 papers) published 2 papers at the last edition, 1 less 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, 2.06% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 23.16% were posted by at least one author from the top 10 institutions publishing in the journal. Another 10.53% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 24.21% of all publications and 42.11% 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

  • Persistent spectral graph.

    Rui Wang;Duc Duy Nguyen;Guo-Wei Wei

    (2020)
    79 Citations
  • A mathematical model that integrates cardiac electrophysiology, mechanics, and fluid dynamics: Application to the human left heart

    (2022)
    78 Citations
  • Automated generation of 0D and 1D reduced‐order models of patient‐specific blood flow

    (2021)
    59 Citations
  • Polygonal surface processing and mesh generation tools for the numerical simulation of the cardiac function

    Marco Fedele;Alfio Quarteroni;Alfio Quarteroni

    (2021)
    51 Citations
  • A 3D-1D coupled blood flow and oxygen transport model to generate microvascular networks.

    Tobias Köppl;Ettore Vidotto;Barbara I. Wohlmuth

    (2020)
    39 Citations
  • The effects of clinically-derived parametric data uncertainty in patient-specific coronary simulations with deformable walls

    Jongmin Seo;Daniele E. Schiavazzi;Andrew M. Kahn;Alison L. Marsden

    (2020)
    34 Citations
  • Transitional turbulent flow in a stenosed coronary artery with a physiological pulsatile flow

    Navid Freidoonimehr;Maziar Arjomandi;Nima Sedaghatizadeh;Rey Chin

    (2020)
    33 Citations

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