Dan Quinlan
Impact in
- Hardware and Architecture top 2%
- Parallel Computing and Optimization Techniques
- Embedded Systems Design Techniques
- Software top 5%
Papers in
-
- Parallel Computing and Optimization Techniques 20
- Embedded Systems Design Techniques 5
-
- Distributed and Parallel Computing Systems 8
- Software System Performance and Reliability 5
- Advanced Data Storage Technologies 4
- Co-authors
- Markus Schordan (7 shared papers)Richard Rubinson (1 shared paper)Qing Yi (5 shared papers)Richard Vuduc (4 shared papers)Chunhua Liao (3 shared papers)G. L. Pavlis (1 shared paper)F. L. Vernon (1 shared paper)Haihang You (1 shared paper)
- Journals
- Computer (2 papers)Lecture notes in computer science (10 papers)ACM SIGPLAN Notices (1 paper)Journal of Parallel and Distributed Computing (1 paper)Seminars in Thrombosis and Hemostasis (1 paper)
- Partner nations
- United StatesUnited KingdomNorway
In The Last Decade
Dan Quinlan
35 papers receiving 677 citations
Peers
Comparison fields: 5 of 74
- Hardware and Architecture 428
- Software 68
- Computer Networks and Communications 360
- Geophysics 84
- Information Systems 120
Countries citing papers authored by Dan Quinlan
This map shows the geographic impact of Dan Quinlan'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 Dan Quinlan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Quinlan more than expected).
Fields of papers citing papers by Dan Quinlan
This network shows the impact of papers produced by Dan Quinlan. 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 Dan Quinlan. The network helps show where Dan Quinlan may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Quinlan, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 87 | |
| 2 | 2007 | 84 | |
| 3 | 2000 | 83 | |
| 4 | 2004 | 83 | |
| 5 | 1977 | 72 | |
| 6 | The ROSE Source-to-Source Compiler Infrastructure | 2011 | 46 |
| 7 | 2011 | 37 | |
| 8 | 2006 | 23 | |
| 9 | 1998 | 22 | |
| 10 | 2005 | 16 | |
| 11 | 2016 | 16 | |
| 12 | 2004 | 16 | |
| 13 | 2012 | 13 | |
| 14 | 1998 | 13 | |
| 15 | 2007 | 12 | |
| 16 | 2014 | 12 | |
| 17 | 2012 | 10 | |
| 18 | 2006 | 10 | |
| 19 | 1997 | 9 | |
| 20 | 2003 | 9 |
About Dan Quinlan
Dan Quinlan is a scholar working on Hardware and Architecture, Computer Networks and Communications, Artificial Intelligence, Information Systems and Software, having authored 36 papers that have together received 729 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (20 papers), Logic, programming, and type systems (8 papers), Distributed and Parallel Computing Systems (8 papers), Software System Performance and Reliability (5 papers), Embedded Systems Design Techniques (5 papers), Software Engineering Research (4 papers), Advanced Data Storage Technologies (4 papers) and Software Testing and Debugging Techniques (4 papers). The work is most often cited by research in Hardware and Architecture (428 citations), Software (68 citations), Computer Networks and Communications (360 citations), Geophysics (84 citations) and Information Systems (120 citations). Dan Quinlan has collaborated with scholars based in United States, United Kingdom and Norway. Frequent co-authors include Markus Schordan, Richard Rubinson, Qing Yi, Richard Vuduc, Chunhua Liao, G. L. Pavlis, F. L. Vernon, Haihang You, Keith Seymour and John Shalf. Their work appears in journals such as Computer, Lecture notes in computer science, ACM SIGPLAN Notices, Journal of Parallel and Distributed Computing and Seminars in Thrombosis and Hemostasis.
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.