Daniel Boley

82 papers and 2.1k indexed citations i.

About

Daniel Boley is a scholar working on Computational Theory and Mathematics, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Daniel Boley has authored 82 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computational Theory and Mathematics, 15 papers in Computer Vision and Pattern Recognition and 14 papers in Artificial Intelligence. Recurrent topics in Daniel Boley’s work include Matrix Theory and Algorithms (22 papers), Sparse and Compressive Sensing Techniques (8 papers) and Numerical methods for differential equations (7 papers). Daniel Boley is often cited by papers focused on Matrix Theory and Algorithms (22 papers), Sparse and Compressive Sensing Techniques (8 papers) and Numerical methods for differential equations (7 papers). Daniel Boley collaborates with scholars based in United States, Germany and Italy. Daniel Boley's co-authors include Gene H. Golub, Maria Gini, Joseph K. Kearney, William B. Thompson, Paul Schrater, Sergio M. Savaresi, Steven Jensen, Wu-Sheng Lu, Robert A. Gross and Eui-Hong Han and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Automatic Control.

In The Last Decade

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

Fields of papers citing papers by Daniel Boley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel Boley

Since Specialization
Citations

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