Daniel Kelly

34 papers and 459 indexed citations i.

About

Daniel Kelly is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Biomedical Engineering. According to data from OpenAlex, Daniel Kelly has authored 34 papers receiving a total of 459 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 12 papers in Human-Computer Interaction and 8 papers in Biomedical Engineering. Recurrent topics in Daniel Kelly’s work include Gesture Recognition in Human-Computer Interaction (11 papers), Hearing Impairment and Communication (7 papers) and Context-Aware Activity Recognition Systems (7 papers). Daniel Kelly is often cited by papers focused on Gesture Recognition in Human-Computer Interaction (11 papers), Hearing Impairment and Communication (7 papers) and Context-Aware Activity Recognition Systems (7 papers). Daniel Kelly collaborates with scholars based in Ireland, United Kingdom and Finland. Daniel Kelly's co-authors include Charles H. Markham, John McDonald, Brian Caulfield, Brian Caulfield, Kevin Curran, Joan Condell, Brian S. Green, Garrett F. Coughlan, James Connolly and Oonagh M. Giggins and has published in prestigious journals such as Optics Letters, Sensors and International Journal of Environmental Research and Public Health.

In The Last Decade

Co-authorship network of co-authors of Daniel Kelly i

Fields of papers citing papers by Daniel Kelly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Kelly. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daniel Kelly. The network helps show where Daniel Kelly may publish in the future.

Countries citing papers authored by Daniel Kelly

Since Specialization
Citations

This map shows the geographic impact of Daniel Kelly's research. 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 Daniel Kelly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Kelly 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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