Gary Shao
- Computer Networks and Communications top 2%
- Hardware and Architecture top 2%
- Information Systems top 2%
- Information Systems and Management top 5%
- Artificial Intelligence
- Co-authors
- Francine BermanSilvia FigueiraRich WolskiJennifer M. SchopfFran BermanHolly DailDmitrii ZagorodnovWalfredo Cirne
- Topics
- Distributed and Parallel Computing Systems (5 papers)Cloud Computing and Resource Management (4 papers)Parallel Computing and Optimization Techniques (3 papers)
- Cited by
- Hardware and ArchitectureComputer Networks and CommunicationsInformation Systems and Management
- Journals
- IEEE Transactions on Parallel and Distributed SystemsSpring Simulation MulticonferencePPSC
- Partner nations
- United StatesBrazil
In The Last Decade
Gary Shao
7 papers receiving 623 citations
Peers
Comparison fields: 5 of 40
- Computer Networks and Communications 668
- Hardware and Architecture 406
- Information Systems 342
- Information Systems and Management 108
- Artificial Intelligence 35
Countries citing papers authored by Gary Shao
This map shows the geographic impact of Gary Shao'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 Gary Shao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gary Shao more than expected).
Fields of papers citing papers by Gary Shao
This network shows the impact of papers produced by Gary Shao. 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 Gary Shao. The network helps show where Gary Shao may publish in the future.
Co-authorship network of co-authors of Gary Shao
This figure shows the co-authorship network connecting the top 25 collaborators of Gary Shao. A scholar is included among the top collaborators of Gary Shao 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 Gary Shao. Gary Shao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 286 | |
| 4 | 66 | |
| 5 | Adaptive scheduling of master/worker applications on distributed computational resources | 32 |
| 6 | Using Effective Network Views to Promote Distributed Application Performance. | 28 |
| 7 | Modeling the Cost of Redistribution in Scheduling. | 10 |
| 8 | 274 |
About Gary Shao
Gary Shao is a scholar working on Hardware and Architecture, Information Systems and Management and Information Systems, having authored 8 papers that have together received 698 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (5 papers), Cloud Computing and Resource Management (4 papers) and Parallel Computing and Optimization Techniques (3 papers). The work is most often cited by research in Hardware and Architecture (406 citations), Computer Networks and Communications (668 citations) and Information Systems and Management (108 citations). Gary Shao has collaborated with scholars based in United States and Brazil. Frequent co-authors include Francine Berman, Silvia Figueira, Rich Wolski, Jennifer M. Schopf, Fran Berman, Holly Dail, Dmitrii Zagorodnov, Walfredo Cirne, Henri Casanova and Graziano Obertelli. Their work appears in journals such as IEEE Transactions on Parallel and Distributed Systems, Spring Simulation Multiconference and PPSC.
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.