David Ungar

35 papers and 863 indexed citations i.

About

David Ungar is a scholar working on Information Systems, Hardware and Architecture and Artificial Intelligence. According to data from OpenAlex, David Ungar has authored 35 papers receiving a total of 863 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Information Systems, 18 papers in Hardware and Architecture and 16 papers in Artificial Intelligence. Recurrent topics in David Ungar’s work include Parallel Computing and Optimization Techniques (17 papers), Logic, programming, and type systems (14 papers) and Software Engineering Research (11 papers). David Ungar is often cited by papers focused on Parallel Computing and Optimization Techniques (17 papers), Logic, programming, and type systems (14 papers) and Software Engineering Research (11 papers). David Ungar collaborates with scholars based in United States, Italy and Belgium. David Ungar's co-authors include Craig Chambers, Urs Hölzle, Randall B. Smith, Peter Foley, Ricki Blau, David A. Patterson, Henry Lieberman, Christopher H. Fry, Ole Agesen and Paul Hilfinger and has published in prestigious journals such as Journal of Clinical Oncology, Communications of the ACM and Computer.

In The Last Decade

Co-authorship network of co-authors of David Ungar i

Fields of papers citing papers by David Ungar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by David Ungar

Since Specialization
Citations

This map shows the geographic impact of David Ungar'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 Ungar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Ungar 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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2025