Daniel M. Kane

93 papers and 938 indexed citations i.

About

Daniel M. Kane is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Algebra and Number Theory. According to data from OpenAlex, Daniel M. Kane has authored 93 papers receiving a total of 938 indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Artificial Intelligence, 35 papers in Computational Theory and Mathematics and 16 papers in Algebra and Number Theory. Recurrent topics in Daniel M. Kane’s work include Machine Learning and Algorithms (41 papers), Combinatorial Optimization and Complexity Theory (25 papers) and Analytic Number Theory Research (14 papers). Daniel M. Kane is often cited by papers focused on Machine Learning and Algorithms (41 papers), Combinatorial Optimization and Complexity Theory (25 papers) and Analytic Number Theory Research (14 papers). Daniel M. Kane collaborates with scholars based in United States, Canada and United Kingdom. Daniel M. Kane's co-authors include Jelani Nelson, Ilias Diakonikolas, Alistair Stewart, David P. Woodruff, Gautam Kamath, Jerry Li, Ankur Moitra, Shachar Lovett, Shay Moran and Raghu Meka and has published in prestigious journals such as Journal of Fluid Mechanics, IEEE Transactions on Information Theory and Communications of the ACM.

In The Last Decade

Co-authorship network of co-authors of Daniel M. Kane i

Fields of papers citing papers by Daniel M. Kane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel M. Kane

Since Specialization
Citations

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