IVCNZ: Image and Vision Computing New Zealand (IVCNZ)

This comprehensive ranking presents a detailed evaluation of scientific conferences in the field of Computer Science. The listing has been meticulously prepared by Research.com, recognized as one of the foremost platforms dedicated to science research across all major disciplines, including Computer Science, and renowned for providing reliable data on scientific contributions since 2014.

Each conference’s position in this ranking is determined by a proprietary bibliometric score developed by Research.com. This unique score is calculated by incorporating the estimated h-index and quantifying the number of leading scientists who have participated in the conference over the last three years. The ranking encapsulates conferences’ Impact Score values as of 2024-11-27, ensuring users have access to the most recent and relevant data.

The rigorous ranking process involved the assessment of over 2,742 conferences, which were shortlisted following an in-depth review and systematic analysis of more than 148,739 scientific documents published in the past three years. This evaluation was conducted with contributions from 13,184 distinguished and respected scientists within the Computer Science community, underscoring the thoroughness and depth of our approach.

To maintain the utmost standards of credibility and accuracy, our experts have employed advanced methodological processes, considering numerous qualitative and quantitative factors specific to scientific research dissemination. For a comprehensive explanation of the methodology used to compute the ranking scores, please refer to 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.

Top authors and change over time

The top authors publishing at Image and Vision Computing New Zealand (based on the number of publications) are:

• Richard Green (59 papers) published 7 papers at the last edition, 2 more than at the previous edition,
• Steven Mills (27 papers) published 3 papers at the last edition, 3 less than at the previous edition,
• Georgy Gimel'farb (25 papers) absent at the last edition,
• Patrice Delmas (25 papers) absent at the last edition,
• Reinhard Klette (23 papers) published 6 papers at the last edition, 3 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.

Top affiliations and change over time

Only papers with recognized affiliations are considered

The top affiliations publishing at Image and Vision Computing New Zealand (based on the number of publications) are:

• University of Canterbury (101 papers) published 12 papers at the last edition, 2 more than at the previous edition,
• University of Auckland (86 papers) published 7 papers at the last edition, 2 less than at the previous edition,
• University of Otago (40 papers) published 4 papers at the last edition, 5 less than at the previous edition,
• Victoria University of Wellington (31 papers) published 4 papers at the last edition, 3 more than at the previous edition,
• University of Waikato (25 papers) published 6 papers at the last edition the same number as 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, 4.48% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 71.88% were posted by at least one author from the top 10 institutions publishing at the conference. Another 3.12% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 15.62% of all publications and 9.38% 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.