Human-Computer Interaction

164.9k papers and 2.6M indexed citations i.

About

164.9k papers covering Human-Computer Interaction have received a total of 2.6M indexed citations since 1950. Papers on subfields are most often about the specific topic of Virtual Reality Applications and Impacts, Gaze Tracking and Assistive Technology and Gesture Recognition in Human-Computer Interaction and also cover the fields of Computer Vision and Pattern Recognition, Cognitive Neuroscience and Sociology and Political Science. Papers citing papers on subfields are usually about Cognitive Neuroscience, Computer Vision and Pattern Recognition and Sociology and Political Science. Some of the most active scholars covering Human-Computer Interaction are Keith Rayner, Mel Slater, Ronald Azuma, Susan Goldin‐Meadow, Joseph B. Walther, James R. Lewis, Robert V. Kozinets, Jonathan Steuer, Giuseppe Riva and Manos Tsakiris.

In The Last Decade

Fields of papers citing papers about Human-Computer Interaction

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers covering 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 covering Human-Computer Interaction.

Countries where authors publish papers about Human-Computer Interaction

Since Specialization
Citations

This map shows the geographic impact of research 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 about 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).

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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2025