David Ungar

6.2k total citations · 1 hit paper
79 papers, 3.9k citations indexed

About

David Ungar is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, David Ungar has authored 79 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Artificial Intelligence, 32 papers in Computer Networks and Communications and 32 papers in Information Systems. Recurrent topics in David Ungar's work include Parallel Computing and Optimization Techniques (31 papers), Logic, programming, and type systems (30 papers) and Software Engineering Research (19 papers). David Ungar is often cited by papers focused on Parallel Computing and Optimization Techniques (31 papers), Logic, programming, and type systems (30 papers) and Software Engineering Research (19 papers). David Ungar collaborates with scholars based in United States, Italy and France. David Ungar's 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 and has published in prestigious journals such as Journal of Clinical Oncology, Communications of the ACM and Computer.

In The Last Decade

David Ungar

77 papers receiving 3.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Self: The power of simplicity

1987 593 citations David Ungar, Randall B. Smith profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
David Ungar United States	29	2.3k	2.1k	1.6k	1.2k	676	79	3.9k
Adele Goldberg United States	13	2.0k 0.9×	647 0.3×	1.3k 0.8×	1.2k 1.0×	647 1.0×	38	3.6k
Gregor Kiczales Canada	28	5.9k 2.5×	779 0.4×	2.6k 1.7×	5.0k 4.2×	1.4k 2.1×	80	7.2k
Oscar Nierstrasz Switzerland	33	2.3k 1.0×	341 0.2×	1.3k 0.8×	2.8k 2.3×	1.3k 1.9×	252	4.1k
J. Eliot B. Moss United States	39	2.3k 1.0×	4.1k 2.0×	4.4k 2.8×	1.5k 1.3×	698 1.0×	136	6.3k
Benjamin G. Zorn United States	35	1.7k 0.7×	2.1k 1.0×	2.2k 1.4×	1.3k 1.1×	545 0.8×	123	4.0k
William E. Weihl United States	29	650 0.3×	1.7k 0.8×	2.8k 1.8×	738 0.6×	219 0.3×	86	3.4k
Gerald J. Popek United States	32	1.1k 0.5×	1.3k 0.6×	3.5k 2.3×	1.2k 1.0×	109 0.2×	100	4.3k
Mary Lou Soffa United States	45	1.5k 0.6×	2.2k 1.1×	3.1k 2.0×	3.4k 2.8×	3.7k 5.4×	213	7.2k
Antony L. Hosking United States	20	1.2k 0.5×	1.8k 0.9×	1.8k 1.2×	893 0.7×	526 0.8×	91	3.0k
Galen Hunt United States	22	1.4k 0.6×	847 0.4×	1.6k 1.0×	1.1k 0.9×	212 0.3×	47	2.5k

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).

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.

Co-authorship network of co-authors of David Ungar

This figure shows the co-authorship network connecting the top 25 collaborators of David Ungar. A scholar is included among the top collaborators of David Ungar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David Ungar. David Ungar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Ungar, David, David Grove, & Hubertus Franke. (2017). Dynamic atomicity: optimizing swift memory management. ACM SIGPLAN Notices. 52(11). 15–26. 2 indexed citations

2.

Ungar, David, Harold Ossher, & Doug Kimelman. (2014). Korz. 113–131. 5 indexed citations

3.

Ungar, David, et al.. (2009). Hosting an object heap on manycore hardware. 99–110. 8 indexed citations

4.

Chambers, Craig & David Ungar. (2004). A retrospective on. ACM SIGPLAN Notices. 39(4). 295–312.

5.

Fang, Jesse, et al.. (1998). The new crop of Java virtual machines (panel). 179–182. 4 indexed citations

6.

Hölzle, Urs & David Ungar. (1996). Reconciling responsiveness with performance in pure object-oriented languages. ACM Transactions on Programming Languages and Systems. 18(4). 355–400. 82 indexed citations

7.

Chang, Bay-Wei, David Ungar, & Randall B. Smith. (1995). Getting close to objects. 185–198. 5 indexed citations

8.

Smith, Randall B., et al.. (1994). Prototype-Based Languages: Object Lessons from Class-Free Programming (Panel).. 102–112. 4 indexed citations

9.

Harrison, William, Harold Ossher, Randall B. Smith, & David Ungar. (1994). Subjectivity in object-oriented systems. 5(4). 131–136. 1 indexed citations

10.

Smith, Randall B., David Ungar, & Bay-Wei Chang. (1992). The use-mention perspective on programming for the interface. 79–89. 5 indexed citations

11.

Ungar, David, Craig Chambers, Bay-Wei Chang, & Urs Hölzle. (1991). Organizing programs without classes. LISP and Symbolic Computation. 4(3). 223–242. 65 indexed citations

12.

Chambers, Craig & David Ungar. (1991). Making pure object-oriented languages practical. ACM SIGPLAN Notices. 26(11). 1–15. 18 indexed citations

13.

Chambers, Craig & David Ungar. (1990). Iterative type analysis and extended message splitting; optimizing dynamically-typed object-oriented programs. ACM SIGPLAN Notices. 25(6). 150–164. 22 indexed citations

14.

Chambers, Craig, et al.. (1989). An efficient implementation of SELF a dynamically-typed object-oriented language based on prototypes. ACM SIGPLAN Notices. 24(10). 49–70. 53 indexed citations

15.

Ungar, David, et al.. (1988). Panel: Treaty of Orlando Revisited.. 357–362.

16.

Ungar, David & Randall B. Smith. (1987). Self: The power of simplicity. 227–242. 593 indexed citations breakdown →

17.

Bush, William R., et al.. (1987). Compiling Smalltalk-80 to a RISC. 112–116. 4 indexed citations

18.

Ungar, David. (1984). Generation Scavenging. ACM SIGPLAN Notices. 19(5). 157–167. 97 indexed citations

19.

Ousterhout, John K. & David Ungar. (1982). Measurements of a VLSI Design. Design Automation Conference. 903–908. 2 indexed citations

20.

Ungar, David, et al.. (1981). A Distributed UNIX System.. 241. 4 indexed citations

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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