David R. Musser

32 papers and 729 indexed citations i.

About

David R. Musser is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Information Systems. According to data from OpenAlex, David R. Musser has authored 32 papers receiving a total of 729 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 15 papers in Computational Theory and Mathematics and 6 papers in Information Systems. Recurrent topics in David R. Musser’s work include Logic, programming, and type systems (16 papers), Formal Methods in Verification (10 papers) and Advanced Software Engineering Methodologies (5 papers). David R. Musser is often cited by papers focused on Logic, programming, and type systems (16 papers), Formal Methods in Verification (10 papers) and Advanced Software Engineering Methodologies (5 papers). David R. Musser collaborates with scholars based in United States, Sweden and Germany. David R. Musser's co-authors include Ellis Horowitz, John V. Guttag, Deepak Kapur, Alexander A. Stepanov, Paliath Narendran, P. J. Plauger, Meng Lee, D.H. Thompson, Ralph L. London and Dale Baker and has published in prestigious journals such as Communications of the ACM, Artificial Intelligence and Journal of the ACM.

In The Last Decade

Co-authorship network of co-authors of David R. Musser i

Fields of papers citing papers by David R. Musser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David R. Musser. 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 David R. Musser. The network helps show where David R. Musser may publish in the future.

Countries citing papers authored by David R. Musser

Since Specialization
Citations

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