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Eurographics

The Symposium on Vision, Modeling, and Visualization (VMV)

Location: Konstanz , Germany

Submission deadline: 7/1/2022

Conference dates: 9/27/2022 - 9/30/2022

Research H-index
2

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 932 21 28 2

Call for Papers

Relevant topics include, but are not limited to:

Modelling
3D Printing
Animation, Simulation, and GPGPU
Geometric Modeling
Rendering
Color, Illumination, and Reflectance Modeling
Material Appearance
Realistic and Non-Photorealistic Rendering
Offline and Real-time Rendering
Visualization and Interactive Interfaces
Information Visualization
Scientific Visualization
Visual Analytics and Interactive Data Science
Visual Interfaces
Computer Vision and Image Processing
3D Acquisition, Motion Capture, and Tracking
Computational Photography, Sensors, and Sensor Fusion
Image-based Modeling and Rendering
Object and Pattern Recognition
Applications of/for Visual Computing
Biology and Medicine
Games and Film
Evaluation and Perception
Physics and Engineering
Virtual, Mixed, and Augmented Reality

Overview

The scientific conference ranking presented on this page showcases leading conferences in the field of Computer Science, providing an authoritative resource for researchers, professionals, and institutions. This comprehensive ranking has been meticulously curated by Research.com, a premier platform recognized for its expertise and credible contributions to science research assessment across all major domains, including Computer Science, since 2014.

Conference positions in this ranking are determined by a unique bibliometric score developed by Research.com. This score is calculated using a combination of the estimated h-index and the number of prominent scientists who have appeared at each conference over the three most recent years. Such an approach ensures a multifaceted evaluation of each conference's scientific impact and reputation.

The Impact Score values provided were collected as of 2024-11-27. The ranking process involved the exhaustive examination of more than 2,742 conferences, which were shortlisted following rigorous scrutiny and expert assessment of over 148,739 scientific documents published within the past three years. These documents were authored by 13,184 of the most respected and accomplished scientists in the field, contributing to the exceptional depth and reliability of the ranking.

This rigorous methodology highlights the commitment of Research.com to delivering trusted, data-driven insights, allowing users to gauge the standing and influence of Computer Science conferences with confidence. For further information on the methodology used to compute the ranking scores, detailed explanations are available on our Methodology Page.

Papers citation over time

A key indicator for each conference 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 at Vision Modeling and Visualization (based on the number of publications) are:

  • Hans-Peter Seidel (11 papers) absent at the last edition,
  • Tobias Ritschel (8 papers) absent at the last edition,
  • Marcus Magnor (7 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Reinhard Klein (6 papers) published 2 papers at the last edition,
  • Michael Burch (5 papers) published 2 papers at the last edition, 1 more than at the previous edition.

The overall trend for top authors publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top authors.

Only papers with recognized affiliations are considered

The top affiliations publishing at Vision Modeling and Visualization (based on the number of publications) are:

  • Max Planck Society (20 papers) absent at the last edition,
  • Otto-von-Guericke University Magdeburg (12 papers) published 3 papers at the last edition, 2 more than at the previous edition,
  • University of Bonn (10 papers) published 2 papers at the last edition the same number as at the previous edition,
  • Braunschweig University of Technology (10 papers) published 1 paper at the last edition the same number as at the previous edition,
  • University of Erlangen-Nuremberg (8 papers) published 1 paper at the last edition, 1 less than at the previous edition.

The overall trend for top affiliations publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top affiliations.

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions at the conference edition to all articles published within that conference. The best research institutions were selected based on the largest number of articles published during all editions of the conference.

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 2018 edition, 10.53% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 70.59% were posted by at least one author from the top 10 institutions publishing at the conference. Another 23.53% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 0.00% of all publications and 5.88% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of conferences they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same conference 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 conference 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 at a conference. The index includes the authors publishing at the last edition of a conference, 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.

Related Online Degrees & Career Pathways

Studying Computer Science in the USA opens doors to a variety of related fields and career options. Many students choose to complement their technical skills with specialized degrees. For instance, pursuing a masters data analytics can deepen your ability to interpret complex datasets, a skill highly valued across industries.

For those interested in advanced research and academic careers, an online data science PhD provides flexibility and access to cutting-edge knowledge without relocating. This path often leads to roles in AI development, machine learning, and big data innovation.

Emerging interdisciplinary fields like bioinformatics are also gaining traction. A bioinformatics degree jobs blend computer science with biology, offering opportunities in healthcare and biotech sectors where computing meets life sciences.

Moreover, technology increasingly intersects with healthcare, making medical degrees online that pay well an attractive option for CS graduates wanting to expand into medical informatics or health data analysis roles.

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