Grant Haab
Impact in
- Hardware and Architecture top 1%
- Parallel Computing and Optimization Techniques
- Embedded Systems Design Techniques
- Real-Time Systems Scheduling
- Software top 5%
- Software Testing and Debugging Techniques
Papers in
-
- Parallel Computing and Optimization Techniques 7
- Embedded Systems Design Techniques 2
- Real-Time Systems Scheduling 1
-
- Distributed and Parallel Computing Systems 4
- Advanced Data Storage Technologies 3
- Interconnection Networks and Systems 1
- Co-authors
- Nancy J. WarterScott MahlkeRichard E. HankDaniel M. LaveryJohn G. HolmTokuzo KiyoharaRoger A. BringmannWilliam Y. Chen
- Journals
- Parallel Computing (1 paper)Proceedings of the IEEE (1 paper)The Journal of Supercomputing (1 paper)Concurrency Practice and Experience (1 paper)IDEALS (University of Illinois Urbana-Champaign) (1 paper)
- Partner nations
- United States
In The Last Decade
Grant Haab
7 papers receiving 587 citations
Hit Papers
Peers
Comparison fields: 5 of 29
- Hardware and Architecture 617
- Software 88
- Computer Networks and Communications 393
- Information Systems 69
- Artificial Intelligence 98
Countries citing papers authored by Grant Haab
This map shows the geographic impact of Grant Haab'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 Grant Haab with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Grant Haab more than expected).
Fields of papers citing papers by Grant Haab
This network shows the impact of papers produced by Grant Haab. 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 Grant Haab. The network helps show where Grant Haab may publish in the future.
Co-authorship network
The 21 scholars most cited alongside Grant Haab, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 12 | |
| 2 | 2000 | 32 | |
| 3 | 1995 | 46 | |
| 4 | Reducing Cache Misses in Numerical Applications Using Data Relocation and Prefetching. | 1995 | 4 |
| 5 | 1994 | 15 | |
| 6 | The superblock: An effective technique for VLIW and superscalar compilation Hit paper breakdown → | 1993 | 490 |
| 7 | 1992 | 62 |
About Grant Haab
Grant Haab is a scholar working on Hardware and Architecture, Computer Networks and Communications, Computational Theory and Mathematics, Artificial Intelligence and Infectious Diseases, having authored 7 papers that have together received 661 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (7 papers), Distributed and Parallel Computing Systems (4 papers), Advanced Data Storage Technologies (3 papers), Logic, programming, and type systems (2 papers), Embedded Systems Design Techniques (2 papers), Real-Time Systems Scheduling (1 paper), Numerical Methods and Algorithms (1 paper) and Interconnection Networks and Systems (1 paper). The work is most often cited by research in Hardware and Architecture (617 citations), Software (88 citations), Computer Networks and Communications (393 citations), Information Systems (69 citations) and Artificial Intelligence (98 citations). Grant Haab has collaborated with scholars based in United States. Frequent co-authors include Nancy J. Warter, Scott Mahlke, Richard E. Hank, Daniel M. Lavery, John G. Holm, Tokuzo Kiyohara, Roger A. Bringmann, William Y. Chen, Wen mei Hwu and Pohua P. Chang. Their work appears in journals such as Parallel Computing, Proceedings of the IEEE, The Journal of Supercomputing, Concurrency Practice and Experience and IDEALS (University of Illinois Urbana-Champaign).
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.