Daniel E. O’Leary

248 papers and 8.8k indexed citations i.

About

Daniel E. O’Leary is a scholar working on Artificial Intelligence, Management Information Systems and Information Systems. According to data from OpenAlex, Daniel E. O’Leary has authored 248 papers receiving a total of 8.8k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Artificial Intelligence, 68 papers in Management Information Systems and 65 papers in Information Systems. Recurrent topics in Daniel E. O’Leary’s work include Big Data and Business Intelligence (40 papers), Semantic Web and Ontologies (24 papers) and Blockchain Technology Applications and Security (13 papers). Daniel E. O’Leary is often cited by papers focused on Big Data and Business Intelligence (40 papers), Semantic Web and Ontologies (24 papers) and Blockchain Technology Applications and Security (13 papers). Daniel E. O’Leary collaborates with scholars based in United States, Brazil and United Kingdom. Daniel E. O’Leary's co-authors include Gregory L. Burke, Teri A. Manolio, W. T. Longstreth, Paul Enright, Alice M. Arnold, Linda P. Fried, Nick Bryan, Charles A. Jungreis, J. Jeffrey Carr and Christopher T. Sibley and has published in prestigious journals such as New England Journal of Medicine, JAMA and Circulation.

In The Last Decade

Co-authorship network of co-authors of Daniel E. O’Leary i

Fields of papers citing papers by Daniel E. O’Leary

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel E. O’Leary. 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 E. O’Leary. The network helps show where Daniel E. O’Leary may publish in the future.

Countries citing papers authored by Daniel E. O’Leary

Since Specialization
Citations

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