Daniel Dunlavy

23 papers and 1.1k indexed citations i.

About

Daniel Dunlavy is a scholar working on Artificial Intelligence, Computational Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Daniel Dunlavy has authored 23 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 10 papers in Computational Mathematics and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Daniel Dunlavy’s work include Tensor decomposition and applications (10 papers), Parallel Computing and Optimization Techniques (3 papers) and Computational Physics and Python Applications (3 papers). Daniel Dunlavy is often cited by papers focused on Tensor decomposition and applications (10 papers), Parallel Computing and Optimization Techniques (3 papers) and Computational Physics and Python Applications (3 papers). Daniel Dunlavy collaborates with scholars based in United States, Türkiye and Denmark. Daniel Dunlavy's co-authors include Tamara G. Kolda, Evrim Acar, Morten Mørup, Michael Eldred, Dianne P. O’Leary, John M. Conroy, Judith D. Schlesinger, Patricia J. Crossno, Michael M. Wolf and D. Steven Mackey and has published in prestigious journals such as Chemometrics and Intelligent Laboratory Systems, Information Processing & Management and Journal of Chemometrics.

In The Last Decade

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

Fields of papers citing papers by Daniel Dunlavy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Dunlavy. 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 Dunlavy. The network helps show where Daniel Dunlavy may publish in the future.

Countries citing papers authored by Daniel Dunlavy

Since Specialization
Citations

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