David Ungar
Impact in
- Hardware and Architecture top 0.2%
- Parallel Computing and Optimization Techniques
- Software top 0.5%
- Software Testing and Debugging Techniques
Papers in
-
- Logic, programming, and type systems 30
- Advanced Software Engineering Methodologies 8
-
- Advanced Data Storage Technologies 13
- Distributed and Parallel Computing Systems 13
- Distributed systems and fault tolerance 8
- Co-authors
- Craig Chambers (16 shared papers)Randall B. Smith (16 shared papers)Urs Hölzle (10 shared papers)Bay-Wei Chang (7 shared papers)Gilad Bracha (3 shared papers)Peter Foley (2 shared papers)Ricki Blau (2 shared papers)Henry Lieberman (4 shared papers)
- Journals
- ACM SIGPLAN Notices (21 papers)LISP and Symbolic Computation (5 papers)Communications of the ACM (2 papers)ACM Transactions on Programming Languages and Systems (2 papers)Journal of Clinical Oncology (1 paper)
- Partner nations
- United StatesItalyBelgium
In The Last Decade
David Ungar
77 papers receiving 3.3k citations
David Ungar's Hit Papers
Peers
Comparison fields: 5 of 79
- Hardware and Architecture 2.1k
- Software 676
- Artificial Intelligence 2.3k
- Computer Networks and Communications 1.5k
- Information Systems 1.2k
Countries citing papers authored by David Ungar
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).
Fields of papers citing papers by David Ungar
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.
Co-authors
The 25 scholars most cited alongside David Ungar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Self: The power of simplicity Hit paper breakdown → | 1987 | 593 |
| 2 | 1984 | 343 | |
| 3 | 1984 | 241 | |
| 4 | 1992 | 217 | |
| 5 | 1994 | 196 | |
| 6 | 1989 | 196 | |
| 7 | 1989 | 154 | |
| 8 | 1989 | 147 | |
| 9 | 1993 | 144 | |
| 10 | 1991 | 114 | |
| 11 | 1984 | 97 | |
| 12 | 2004 | 92 | |
| 13 | 1990 | 86 | |
| 14 | 1996 | 82 | |
| 15 | 1987 | 80 | |
| 16 | 1994 | 77 | |
| 17 | 1992 | 65 | |
| 18 | 1991 | 65 | |
| 19 | 1984 | 63 | |
| 20 | 1984 | 63 |
About David Ungar
David Ungar is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Hardware and Architecture and Software, having authored 79 papers that have together received 3.9k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (31 papers), Logic, programming, and type systems (30 papers), Software Engineering Research (19 papers), Advanced Data Storage Technologies (13 papers), Distributed and Parallel Computing Systems (13 papers), Advanced Software Engineering Methodologies (8 papers), Distributed systems and fault tolerance (8 papers) and Cloud Computing and Resource Management (7 papers). The work is most often cited by research in Hardware and Architecture (2.1k citations), Software (676 citations), Artificial Intelligence (2.3k citations), Computer Networks and Communications (1.5k citations) and Information Systems (1.2k citations). David Ungar has collaborated with scholars based in United States, Italy and Belgium. Frequent co-authors include Craig Chambers, Randall B. Smith, Urs Hölzle, Bay-Wei Chang, Gilad Bracha, Peter Foley, Ricki Blau, Henry Lieberman, Christopher Fry and John Maloney. Their work appears in journals such as ACM SIGPLAN Notices, LISP and Symbolic Computation, Communications of the ACM, ACM Transactions on Programming Languages and Systems and Journal of Clinical Oncology.
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.