Daniel Billsus

About

Daniel Billsus is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Daniel Billsus has authored 11 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Information Systems, 4 papers in Artificial Intelligence and 3 papers in Computer Networks and Communications. Recurrent topics in Daniel Billsus’s work include Recommender Systems and Techniques (6 papers), Peer-to-Peer Network Technologies (3 papers) and Data Management and Algorithms (3 papers). Daniel Billsus is often cited by papers focused on Recommender Systems and Techniques (6 papers), Peer-to-Peer Network Technologies (3 papers) and Data Management and Algorithms (3 papers). Daniel Billsus collaborates with scholars based in United States and Australia. Daniel Billsus's co-authors include Michael J. Pazzani, Jack Muramatsu, Geoffrey I. Webb, Clifford Brunk, Mark S. Ackerman, John Adcock, Matthew Cooper, Scott Gaffney, P Yap and Dong Joon Kim and has published in prestigious journals such as Communications of the ACM, Machine Learning and AI Magazine.

In The Last Decade

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

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Fields of papers citing papers by Daniel Billsus

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel Billsus

Since Specialization

Citations

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