World's Best Scientists 2026 revealed!
Computer Aided Geometric Design
H-index 14

Computer Aided Geometric Design

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Mathematics 280 21 56 10
Computer Science 603 38 59 9

Additional Metrics

Number of Best Scientists*: 70
Documents by Best Scientists*: 115
Top 100 Ranked Scientists*: 3
SCIMAGO H-index: 79
SCIMAGO SJR: 0.372
Impact Factor: 1.7

Overview

Top Research Topics at Computer Aided Geometric Design?

Computer Aided Geometric Design mainly deals with areas of study such as Mathematical analysis, Geometry, Bézier curve, Surface (mathematics) and Applied mathematics. The presented Mathematical analysis research focuses mostly on Curve fitting and, on occasion, topics in Polynomial interpolation. Topics in Geometry were tackled in line with various other fields like Computer Aided Design and B-spline.

While work presented in it provided substantial information on Bézier curve, it also covered topics in Pure mathematics, Degree (graph theory), Combinatorics and Topology. Some problems in Surface (mathematics) that were presented in Computer Aided Geometric Design overlapped with concepts under Algorithm and Boundary (topology). Algorithm research featured in the journal incorporates concerns from various other topics such as Polygon mesh and Mathematical optimization.

It holds forums on Applied mathematics that merges themes from other disciplines such as Discrete mathematics and Piecewise. In it, Smoothing spline, Spline interpolation and Box spline are investigated in conjunction with one another to address concerns in Spline (mathematics) research. It focused on Hermite interpolation research conducted under the discipline of Hermite polynomials.

  • Mathematical analysis (26.48%)
  • Geometry (22.92%)
  • Bézier curve (17.55%)

What are the most cited papers published in the journal?

  • Mean value coordinates (802 citations)
  • A survey of curve and surface methods in CAGD (748 citations)
  • Parametrization and smooth approximation of surface triangulations (649 citations)

Research areas of the most cited articles at Computer Aided Geometric Design:

The most cited papers mostly deal with topics like Mathematical analysis, Geometry, Surface (mathematics), Topology and Bézier curve. The studies on Geometry discussed at the journal articles can also contribute to research in the domains of Computer Aided Design, Spline (mathematics) and B-spline. The published articles address concerns in the field of Topology by exploring it in line with topics in Applied mathematics which intersect with Discrete mathematics subjects.

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

  • Geometry
  • Mathematical analysis
  • Algebra

The previous edition focused in particular on these issues:

The journal mainly tackles studies in Pure mathematics, Surface (mathematics), Degree (graph theory), Applied mathematics and Point (geometry). Topics in Pure mathematics explored in the journal were investigated in conjunction with research in Bézier curve, Planar graph, Curvature, Space (mathematics) and Plane (geometry). In addition to Surface (mathematics) research, Computer Aided Geometric Design aims to explore topics under Function (mathematics), Osculating circle, Topology and Computation.

It explores issues in Degree (graph theory) which can be linked to other research areas like Basis (linear algebra), Planar, Parametric equation and Spline (mathematics). The studies in Point (geometry) featured incorporate elements of Intersection, Algorithm, Boundary (topology) and Mathematical analysis. Discussions in it are anchored in the subject of Mathematical analysis and the similar topic of Nonlinear system.

The most cited articles from the last journal are:

  • A sufficient condition for 3D typical curves (3 citations)
  • An annihilator-based strategy for the automatic detection of exponential polynomial spaces in subdivision (3 citations)
  • Parameterization for polynomial curve approximation via residual deep neural networks (2 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 Aided Geometric Design (based on the number of publications) are:

  • Rida T. Farouki (60 papers) absent at the last edition,
  • Ron Goldman (45 papers) absent at the last edition,
  • Bert Jüttler (39 papers) published 3 papers at the last edition, 2 more than at the previous edition,
  • Jörg Peters (37 papers) published 1 paper at the last edition, 2 less than at the previous edition,
  • Thomas W. Sederberg (32 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 Aided Geometric Design (based on the number of publications) are:

  • Zhejiang University (65 papers) published 2 papers at the last edition, 1 less than at the previous edition,
  • University of California, Davis (62 papers) absent at the last edition,
  • University of Science and Technology of China (58 papers) published 3 papers at the last edition the same number as at the previous edition,
  • Vienna University of Technology (44 papers) absent at the last edition,
  • Rice University (40 papers) absent at the last 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, 12.50% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 26.19% were posted by at least one author from the top 10 institutions publishing in the journal. Another 9.52% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 16.67% of all publications and 47.62% 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

  • Multi-degree B-splines: Algorithmic computation and properties

    Deepesh Toshniwal;Deepesh Toshniwal;Hendrik Speleers;René R. Hiemstra;Carla Manni

    (2020)
    32 Citations
  • TPNet: A novel mesh analysis method via topology preservation and perception enhancement

    (2023)
    30 Citations
  • LRC-Net: Learning discriminative features on point clouds by encoding local region contexts

    Xinhai Liu;Zhizhong Han;Fangzhou Hong;Yu-Shen Liu

    (2020)
    26 Citations
  • Geometrically smooth spline bases for data fitting and simulation

    Ahmed Blidia;Bernard Mourrain;Gang Xu

    (2020)
    24 Citations
  • Interpolatory Catmull-Clark volumetric subdivision over unstructured hexahedral meshes for modeling and simulation applications

    Jin Xie;Jinlan Xu;Zhenyu Dong;Gang Xu

    (2020)
    24 Citations
  • P2MAT-NET: Learning medial axis transform from sparse point clouds

    Baorong Yang;Junfeng Yao;Bin Wang;Jianwei Hu

    (2020)
    22 Citations
  • An optimized yarn-level geometric model for Finite Element Analysis of weft-knitted fabrics

    Paras Wadekar;Vignesh Perumal;Geneviève Dion;Antonios Kontsos

    (2020)
    21 Citations
  • Parameterization for polynomial curve approximation via residual deep neural networks

    Felix Scholz;Bert Jüttler;Bert Jüttler

    (2021)
    18 Citations
  • Simultaneous interior and boundary optimization of volumetric domain parameterizations for IGA

    (2020)
    18 Citations
  • Characteristic parameterizations of surfaces with a constant ratio of principal curvatures

    (2022)
    16 Citations

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Best Scientists Contributing to This Journal