ACII 2021 : International Conference on Affective Computing and Intelligent Interaction (ACII)

This comprehensive ranking presents an authoritative list of scientific conferences in the field of Psychology, meticulously curated by Research.com, a leading source for science research insights and trusted data on scientific contributions since 2014. The evaluation framework underlying this ranking leverages a proprietary bibliometric score developed by Research.com, calculated using both the estimated h-index and the number of leading scientists who have participated in the conferences over the preceding three years. This unique methodology is designed to capture not only the academic impact but also the relevance and influence of each conference within the psychology community.

The ranking displayed here features Impact Score values that were rigorously compiled as of 2024-11-27. The formation of this ranking entailed an in-depth analysis of over 377 psychology conferences, which were identified after a thorough and rigorous review process. A total of 871 scientific documents published in the last three years by an esteemed cohort of 10,697 leading and well-respected scientists in the domain of Psychology were scrutinized to ensure the reliability and accuracy of the presented results.

Further details regarding the methodology, including the precise criteria and analytical techniques used to compute these ranking scores, can be found 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.

Top authors and change over time

The top authors publishing at Affective Computing and Intelligent Interaction (based on the number of publications) are:

• Björn Schuller (24 papers) published 8 papers at the last edition, 1 more than at the previous edition,
• Nadia Bianchi-Berthouze (21 papers) published 3 papers at the last edition, 1 less than at the previous edition,
• Rosalind W. Picard (20 papers) published 5 papers at the last edition, 2 more than at the previous edition,
• Georgios N. Yannakakis (19 papers) published 3 papers at the last edition, 1 less than at the previous edition,
• Jonathan Gratch (19 papers) published 2 papers at the last edition, 6 less 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 Affective Computing and Intelligent Interaction (based on the number of publications) are:

• University of Southern California (45 papers) published 8 papers at the last edition, 4 less than at the previous edition,
• University of Twente (33 papers) published 2 papers at the last edition, 3 less than at the previous edition,
• University College London (25 papers) published 4 papers at the last edition the same number as at the previous edition,
• Massachusetts Institute of Technology (25 papers) published 8 papers at the last edition, 2 more than at the previous edition,
• University of Cambridge (21 papers) published 3 papers at the last edition, 2 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 2017 edition, 4.48% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 30.47% were posted by at least one author from the top 10 institutions publishing at the conference. Another 7.03% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 16.41% of all publications and 46.09% 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.

Career Opportunities in Research Fields

The diverse fields represented at the Affective Computing and Intelligent Interaction conference present various career opportunities. One such field is school psychology, which utilizes principles from cognitive psychology. If you are interested in a career in school psychology, it is worth considering the required educational path and potential career outcomes.

Working as a school psychologist requires specialized education and training in both psychology and education. Typically, prospective school psychologists will earn an undergraduate degree in psychology, followed by a specialist-level degree in school psychology. You might wonder how you could transition into this career, for example, in the state of Arizona. Luckily, there is a comprehensive guide on how to become a school psychologist in Arizona which details the education and licensing required.

Beyond school psychology, other career opportunities connected to the research fields at this conference include AI specialists, speech recognition engineers, and roles in affective computing. Each field carries its own unique set of educational requirements, career prospects, and potential for research. Therefore, whichever area of specialty you may have an interest in, it is crucial to explore and understand how you can best position yourself in your chosen field. Proper training and understanding of the field will propel your career and may even lead to opportunities to present at conferences like the Affective Computing and Intelligent Interaction in the future.