Conference on Human Factors in Computing Systems (CHI)

The ranking presented on this page represents a comprehensive and authoritative assessment of scientific conferences in the field of Psychology. This ranking has been meticulously prepared by Research.com, a recognized leader in providing reliable data on scientific contributions across all major fields, including Psychology, since 2014.

To determine the position of each conference in the list, Research.com utilizes a unique bibliometric score. This score is calculated through a proprietary method that encompasses the estimated h-index and the number of prominent scientists who have participated in each conference over the preceding three years. The resulting Impact Score values included in this ranking were collected as of 2024-11-27, ensuring up-to-date and accurate evaluation.

The ranking process involved a rigorous examination of more than 377 conferences, which were carefully selected after an in-depth review of over 871 scientific publications produced in the past three years. These documents were authored by 10,697 leading and highly respected scientists specializing in Psychology, underscoring the significant breadth and depth of research underpinning this analysis.

For those interested in further understanding the methodology used to compute the ranking scores, detailed information is 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.

Top authors and change over time

The top authors publishing at Human Factors in Computing Systems (based on the number of publications) are:

• Hiroshi Ishii (103 papers) published 4 papers at the last edition, 2 more than at the previous edition,
• Stephen Brewster (100 papers) absent at the last edition,
• Florian 'Floyd' Mueller (100 papers) published 9 papers at the last edition, 4 less than at the previous edition,
• Patrick Olivier (100 papers) published 6 papers at the last edition, 2 less than at the previous edition,
• Albrecht Schmidt (90 papers) published 5 papers at the last edition, 2 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 Human Factors in Computing Systems (based on the number of publications) are:

• Carnegie Mellon University (1109 papers) published 61 papers at the last edition, 2 less than at the previous edition,
• Microsoft (1061 papers) published 52 papers at the last edition, 8 more than at the previous edition,
• University of Washington (811 papers) published 68 papers at the last edition, 10 more than at the previous edition,
• Massachusetts Institute of Technology (768 papers) published 35 papers at the last edition, 4 less than at the previous edition,
• IBM (621 papers) published 19 papers at the last edition, 5 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 2021 edition, 3.02% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 24.84% were posted by at least one author from the top 10 institutions publishing at the conference. Another 10.75% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 18.54% of all publications and 45.87% 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 Human Factors and Computing Systems

If you are intrigued by the world of human-computer interaction, multimedia, and artificial intelligence – careers in this field, such as a forensic scientist, might be the perfect fit for you. The highlighted research topics in the Human Factors in Computing Systems event are the foundation of many career paths that are not only satisfying but highly rewarding. By understanding how interface design and computer vision intertwine with artificial intelligence, you will be equipped with knowledge helping you navigate various industry-specific challenges.

Depending on your professional goals, you might consider leveraging your interests and expertise into a role as a forensic scientist. Given the rising usage of digital technology in various fields, how to be a forensic scientist in Missouri, is a career option worth exploring if you are located in this region or looking for opportunities there. As per the requirements, the position not only needs a strong understanding of computer systems, UI design and artificial intelligence, but also a knowledge about the legal aspects that these fields are coupled with.

Becoming a forensic scientist, or any other professional specializing in human factors and computing systems, often requires both formal education and practical experience. Ensuring you have the right skills and qualifications is crucial, and attending conferences like Human Factors in Computing Systems is a great way to stay informed about the latest trends and developments in the field.

Furthermore, the networking opportunities provided by these events can open doors to new career opportunities and collaborations. So, whether you're an industry veteran or just starting out, these conferences can offer an array of benefits. A career in human factors and computing systems not only promises a dynamic working environment, but also the chance to contribute to the rapidly evolving digital landscape.

Learn more about how to become a forensic scientist in Missouri.