Kim Hazelwood
- Hardware and Architecture top 0.05%
- Computer Networks and Communications top 0.2%
- Information Systems top 0.2%
- Artificial Intelligence top 0.5%
- Electrical and Electronic Engineering top 5%
- Co-authors
- Steven WallaceArtur KlauserRobert CohnHarish PatilChi-Keung LukVijay Janapa ReddiGeoff LowneyRobert Muth
- Topics
- Parallel Computing and Optimization Techniques (44 papers)Advanced Data Storage Technologies (23 papers)Cloud Computing and Resource Management (14 papers)
- Partner nations
- United StatesUnited KingdomIsrael
In The Last Decade
Kim Hazelwood
56 papers receiving 5.8k citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Hardware and Architecture 4.1k
- Computer Networks and Communications 4.0k
- Information Systems 1.8k
- Artificial Intelligence 1.5k
- Electrical and Electronic Engineering 1.1k
Countries citing papers authored by Kim Hazelwood
This map shows the geographic impact of Kim Hazelwood'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 Kim Hazelwood with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kim Hazelwood more than expected).
Fields of papers citing papers by Kim Hazelwood
This network shows the impact of papers produced by Kim Hazelwood. 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 Kim Hazelwood. The network helps show where Kim Hazelwood may publish in the future.
Co-authorship network of co-authors of Kim Hazelwood
This figure shows the co-authorship network connecting the top 25 collaborators of Kim Hazelwood. A scholar is included among the top collaborators of Kim Hazelwood 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 Kim Hazelwood. Kim Hazelwood is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 15 | |
| 6 | 63 | |
| 7 | 5 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 2 | |
| 11 | 11 | |
| 12 | 62 | |
| 13 | 3 | |
| 14 | 51 | |
| 15 | 33 | |
| 16 | 11 | |
| 17 | 25 | |
| 18 | 14 | |
| 19 | A Case for Exploiting Memory-Access Persistence | 3 |
| 20 | 13 |
About Kim Hazelwood
Kim Hazelwood is a scholar working on Hardware and Architecture, Software and Computer Networks and Communications, having authored 57 papers that have together received 6.0k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (44 papers), Advanced Data Storage Technologies (23 papers) and Cloud Computing and Resource Management (14 papers). The work is most often cited by research in Hardware and Architecture (4.1k citations), Software (683 citations) and Computer Networks and Communications (4.0k citations). Kim Hazelwood has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include Steven Wallace, Artur Klauser, Robert Cohn, Harish Patil, Chi-Keung Luk, Vijay Janapa Reddi, Geoff Lowney, Robert Muth, David Brooks and Gu-Yeon Wei. Their work appears in journals such as Computer, IEEE Signal Processing Magazine and ACM SIGPLAN Notices.
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.