Arvola Chan
- Computer Networks and Communications top 5%
- Hardware and Architecture top 10%
- Artificial Intelligence
- Information Systems
- Signal Processing
- Co-authors
- Daniel R. RiesStephen FoxUmeshwar DayalDale SkeenNathan GoodmanMeichun HsuSetrag KhoshafianHarry K. T. Wong
- Topics
- Distributed systems and fault tolerance (10 papers)Distributed and Parallel Computing Systems (10 papers)Advanced Database Systems and Queries (8 papers)
- Partner nations
- United StatesHong Kong
In The Last Decade
Arvola Chan
16 papers receiving 214 citations
Peers
Comparison fields: 5 of 16
- Computer Networks and Communications 248
- Hardware and Architecture 59
- Artificial Intelligence 30
- Information Systems 27
- Signal Processing 22
Countries citing papers authored by Arvola Chan
This map shows the geographic impact of Arvola Chan'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 Arvola Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arvola Chan more than expected).
Fields of papers citing papers by Arvola Chan
This network shows the impact of papers produced by Arvola Chan. 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 Arvola Chan. The network helps show where Arvola Chan may publish in the future.
Co-authorship network of co-authors of Arvola Chan
This figure shows the co-authorship network connecting the top 25 collaborators of Arvola Chan. A scholar is included among the top collaborators of Arvola Chan 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 Arvola Chan. Arvola Chan 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 | 7 | |
| 3 | 1 | |
| 4 | Transactional Publish / Subscribe: The Proactive Multicast of Database Changes. | 7 |
| 5 | Building Flexible Distributed Applications With The Teknekron Enterprise Toolkit. | 1 |
| 6 | A Guide to Developing Client/Server SQL Applications | 6 |
| 7 | 13 | |
| 8 | Providing Database Management Capabilities for Mission Critical Applications. | 2 |
| 9 | 2 | |
| 10 | Partitioned Two-Phase Locking. | 1 |
| 11 | Supporting a Semantic Data Model in a Distributed Database System | 8 |
| 12 | 28 | |
| 13 | 3 | |
| 14 | 52 | |
| 15 | 2 | |
| 16 | 7 | |
| 17 | 105 |
About Arvola Chan
Arvola Chan is a scholar working on Computer Networks and Communications, Hardware and Architecture and Computational Theory and Mathematics, having authored 17 papers that have together received 254 indexed citations. Recurring topics across this work include Distributed systems and fault tolerance (10 papers), Distributed and Parallel Computing Systems (10 papers) and Advanced Database Systems and Queries (8 papers). The work is most often cited by research in Computer Networks and Communications (248 citations), Hardware and Architecture (59 citations) and Signal Processing (22 citations). Arvola Chan has collaborated with scholars based in United States and Hong Kong. Frequent co-authors include Daniel R. Ries, Stephen Fox, Umeshwar Dayal, Dale Skeen, Nathan Goodman, Meichun Hsu, Setrag Khoshafian, Harry K. T. Wong, Chin‐Tau Lea and Chi-Ying Tsui. Their work appears in journals such as IEEE Network, ACM SIGMOD Record and ACM Transactions on Database Systems.
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.