World's Best Scientists 2026 revealed!
ACM

CHItaly 2023 (CHItaly)

Location: Torino , Italy

Conference dates: 9/20/2023 - 9/23/2023

Research H-index
6

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 597 20 26 6

Call for Papers

Human-Centered Artificial Intelligence (HCAI) has gained popularity for bringing humans into the center of AI design. HCAI has the potential to create systems that provide intelligent computations beneficial to humans, thus supporting them in achieving their objectives. In addition, HCAI systems focus on enhancing human performance, increasing their reliability, safety, and trustworthiness. This may also involve designing an interface that effectively leverages human skills and capabilities to improve human performance with an application.

Together with vital aspects like transparency, explainability, and fairness, the conference aims to consolidate the efforts made by the local and global community to spur further reflections and activities.

So far, CHItaly has physically hosted HCI scholars working in the Mediterranean and other European countries. CHItaly 2023 will continue this tradition and will build on the hybrid experience of the 2021 edition, adopting the Metaverse for some events and moments.

The call for contributions for CHItaly 2023 and its various tracks is out. For further details and deadlines set the conference website at https://chitaly2023.it.

Overview

This ranking presents a comprehensive evaluation of scientific conferences within the field of Computer Science, meticulously compiled by Research.com—one of the leading platforms for science research across all major disciplines. Since 2014, Research.com has provided trusted data and rigorous analysis of scientific contributions, establishing itself as a reputable authority in the domain of academic assessment.

The position of each conference in this ranking is determined by a unique bibliometric score, expertly developed by Research.com. This score leverages the estimated h-index as well as the number of leading scientists who have contributed to the conference during the preceding three years, ensuring a multifaceted and robust measure of scientific impact. The ranking incorporates Impact Score values collected as of 2024-11-27, reflecting the latest available data.

To ensure the reliability and comprehensiveness of the ranking, the evaluation process involved a thorough examination of more than 2,742 conferences. These conferences were selected following a detailed inspection and rigorous analysis of over 148,739 scientific documents published in the past three years by 13,184 distinguished and respected scientists in the area of Computer Science. This structured methodology guarantees that only conferences demonstrating sustained scholarly excellence are featured.

For a comprehensive explanation of the metrics and methodological framework employed in computing conference 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.

The top authors publishing at ACM SIGCHI Italian Chapter International Conference on Computer-Human Interaction (based on the number of publications) are:

  • Kees Overbeeke (4 papers) published 4 papers at the last edition,
  • Francesco Di Nocera (2 papers) published 2 papers at the last edition,
  • Carlo Maria Medaglia (2 papers) published 2 papers at the last edition,
  • Massimiliano Dibitonto (2 papers) published 2 papers at the last edition,
  • Massimo Zancanaro (2 papers) published 2 papers at the last 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 ACM SIGCHI Italian Chapter International Conference on Computer-Human Interaction (based on the number of publications) are:

  • Eindhoven University of Technology (6 papers) published 6 papers at the last edition,
  • Sapienza University of Rome (4 papers) published 4 papers at the last edition,
  • University of Siena (3 papers) published 3 papers at the last edition,
  • fondazione bruno kessler (2 papers) published 2 papers at the last edition,
  • University of Sassari (2 papers) published 2 papers at the last 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 2011 edition, 11.11% 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 21.88% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 6.25% of all publications and 0.00% 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

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The creative and user-centered side of technology is well represented by programs in design. Earning a ui/ux designer degree prepares students to enhance digital experiences, blending technical skills with creativity to build intuitive interfaces that meet user needs.

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As artificial intelligence continues to transform industries, an artificial intelligence major offers pathways into developing intelligent systems, robotics, and automation. This degree opens doors to careers in research, development, and applied AI across multiple sectors.

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