Activity recognition from accelerometer data

1000 indexed citations

Abstract

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About

This paper, published in 2005, received 1000 indexed citations. Written by Nishkam Ravi, Nikhil Dandekar and Michael L. Littman covering the research area of Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition. It is primarily cited by scholars working on Computer Vision and Pattern Recognition (761 citations), Biomedical Engineering (330 citations) and Electrical and Electronic Engineering (203 citations). Published in Innovative Applications of Artificial Intelligence.

In The Last Decade

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Countries where authors are citing Activity recognition from accelerometer data

Specialization
Citations

This map shows the geographic impact of Activity recognition from accelerometer data. 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 Activity recognition from accelerometer data with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Activity recognition from accelerometer data more than expected).

Fields of papers citing Activity recognition from accelerometer data

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Activity recognition from accelerometer data. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Activity recognition from accelerometer data.

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.

This paper is also available at doi.org/w8720131.

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