Human-Computer Interaction

About

The 714 papers published in Human-Computer Interaction in the last decades have received a total of 42.7k indexed citations. Papers published in Human-Computer Interaction usually cover Human-Computer Interaction (363 papers), Artificial Intelligence (143 papers) and Social Psychology (132 papers) specifically the topics of Usability and User Interface Design (184 papers), Innovative Human-Technology Interaction (143 papers) and Personal Information Management and User Behavior (90 papers). The most active scholars publishing in Human-Computer Interaction are I. Scott MacKenzie, Gary M. Olson, Marc Hassenzahl, William Gaver, Judith S. Olson, Raymonde Guindon, Gregory D. Abowd, Anind K. Dey, Daniel Salber and Mark S. Ackerman.

In The Last Decade

Human-Computer Interaction

605 papers receiving 33.8k citations

Countries where authors publish in Human-Computer Interaction

Since Specialization
Citations

This map shows the geographic impact of research published in Human-Computer Interaction. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by papers published in Human-Computer Interaction with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Human-Computer Interaction more than expected).

Fields of papers published in Human-Computer Interaction

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Human-Computer Interaction. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Human-Computer Interaction.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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