Alvin AuYoung
- Computer Networks and Communications top 2%
- Information Systems top 2%
- Hardware and Architecture top 5%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Alex C. SnoerenAmin VahdatBrent ChunKevin LimParthasarathy RanganathanYoshio TurnerChaki NgDavid C. Parkes
- Topics
- Cloud Computing and Resource Management (10 papers)Advanced Data Storage Technologies (5 papers)Distributed systems and fault tolerance (4 papers)
- Journals
- Communications of the ACMQueueDigital Access to Scholarship at Harvard (DASH) (Harvard University)
- Partner nations
- United StatesCanada
In The Last Decade
Alvin AuYoung
15 papers receiving 680 citations
Peers
Comparison fields: 5 of 44
- Computer Networks and Communications 620
- Information Systems 390
- Hardware and Architecture 180
- Electrical and Electronic Engineering 85
- Computer Vision and Pattern Recognition 63
Countries citing papers authored by Alvin AuYoung
This map shows the geographic impact of Alvin AuYoung'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 Alvin AuYoung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alvin AuYoung more than expected).
Fields of papers citing papers by Alvin AuYoung
This network shows the impact of papers produced by Alvin AuYoung. 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 Alvin AuYoung. The network helps show where Alvin AuYoung may publish in the future.
Co-authorship network of co-authors of Alvin AuYoung
This figure shows the co-authorship network connecting the top 25 collaborators of Alvin AuYoung. A scholar is included among the top collaborators of Alvin AuYoung 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 Alvin AuYoung. Alvin AuYoung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 24 | |
| 3 | 7 | |
| 4 | 0 | |
| 5 | 27 | |
| 6 | 57 | |
| 7 | 47 | |
| 8 | 75 | |
| 9 | Using R for iterative and incremental processing | 13 |
| 10 | 126 | |
| 11 | Practical market-based resource allocation | 3 |
| 12 | 8 | |
| 13 | 53 | |
| 14 | Why markets could (but don't currently) solve resource allocation problems in systems | 53 |
| 15 | 111 | |
| 16 | Resource Allocation in Federated Distributed Computing Infrastructures | 113 |
About Alvin AuYoung
Alvin AuYoung is a scholar working on Computer Networks and Communications, Information Systems and Hardware and Architecture, having authored 16 papers that have together received 726 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (10 papers), Advanced Data Storage Technologies (5 papers) and Distributed systems and fault tolerance (4 papers). The work is most often cited by research in Computer Networks and Communications (620 citations), Hardware and Architecture (180 citations) and Information Systems (390 citations). Alvin AuYoung has collaborated with scholars based in United States and Canada. Frequent co-authors include Alex C. Snoeren, Amin Vahdat, Brent Chun, Kevin Lim, Parthasarathy Ranganathan, Yoshio Turner, Chaki Ng, David C. Parkes, Thomas F. Wenisch and Jichuan Chang. Their work appears in journals such as Communications of the ACM, Queue and Digital Access to Scholarship at Harvard (DASH) (Harvard University).
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.