Daniel Lemire

73 papers and 1.4k indexed citations i.

About

Daniel Lemire is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Daniel Lemire has authored 73 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Artificial Intelligence, 37 papers in Computer Networks and Communications and 20 papers in Signal Processing. Recurrent topics in Daniel Lemire’s work include Algorithms and Data Compression (27 papers), Advanced Database Systems and Queries (21 papers) and Data Management and Algorithms (15 papers). Daniel Lemire is often cited by papers focused on Algorithms and Data Compression (27 papers), Advanced Database Systems and Queries (21 papers) and Data Management and Algorithms (15 papers). Daniel Lemire collaborates with scholars based in Canada, United States and France. Daniel Lemire's co-authors include Anna Maclachlan, Owen Kaser, Leonid Boytsov, Xiaodan Zhu, André Vellino, Peter D. Turney, Antonio Badia, Kamel Aouiche, Robert Godin and C. Pharand and has published in prestigious journals such as IEEE Transactions on Biomedical Engineering, Information Sciences and Pattern Recognition.

In The Last Decade

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

Fields of papers citing papers by Daniel Lemire

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel Lemire

Since Specialization
Citations

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