M.-C. Shan
Impact in
- Signal Processing top 5%
- Data Management and Algorithms
-
- Advanced Database Systems and Queries
- Distributed systems and fault tolerance
- Distributed and Parallel Computing Systems
- Advanced Data Storage Technologies
Papers in
-
- Service-Oriented Architecture and Web Services 4
-
- Advanced Database Systems and Queries 5
- Distributed systems and fault tolerance 2
- Co-authors
- William Kent (4 shared papers)Daniel Fishman (2 shared papers)Weimin Du (1 shared paper)Charles G. Hoch (2 shared papers)Witold Litwin (2 shared papers)James W. Davis (2 shared papers)Abbas Rafii (2 shared papers)Peter Lyngbæk (2 shared papers)
- Journals
- Computer (1 paper)Prentice-Hall, Inc eBooks (1 paper)
- Partner nations
- United States
In The Last Decade
M.-C. Shan
10 papers receiving 448 citations
Peers
Comparison fields: 5 of 30
- Signal Processing 239
- Computer Networks and Communications 456
- Artificial Intelligence 298
- Information Systems 195
- Management Information Systems 64
Countries citing papers authored by M.-C. Shan
This map shows the geographic impact of M.-C. Shan'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 M.-C. Shan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.-C. Shan more than expected).
Fields of papers citing papers by M.-C. Shan
This network shows the impact of papers produced by M.-C. Shan. 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 M.-C. Shan. The network helps show where M.-C. Shan may publish in the future.
Co-authors
The 24 scholars most cited alongside M.-C. Shan, 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 | IRIS: an object-oriented database management system | 1989 | 244 |
| 2 | 1991 | 157 | |
| 3 | Overview of the IRIS DBMS | 1990 | 48 |
| 4 | 2005 | 45 | |
| 5 | 2002 | 23 | |
| 6 | 1989 | 5 | |
| 7 | 2002 | 5 | |
| 8 | 2002 | 3 | |
| 9 | 2005 | 3 | |
| 10 | 2005 | 2 | |
| 11 | 2005 | 0 |
About M.-C. Shan
M.-C. Shan is a scholar working on Information Systems, Computer Networks and Communications, Signal Processing, Artificial Intelligence and Management Information Systems, having authored 11 papers that have together received 535 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (5 papers), Service-Oriented Architecture and Web Services (4 papers), Data Management and Algorithms (2 papers), Distributed systems and fault tolerance (2 papers), Business Process Modeling and Analysis (2 papers), Data Stream Mining Techniques (1 paper), Semantic Web and Ontologies (1 paper) and Time Series Analysis and Forecasting (1 paper). The work is most often cited by research in Signal Processing (239 citations), Computer Networks and Communications (456 citations), Artificial Intelligence (298 citations), Information Systems (195 citations) and Management Information Systems (64 citations). M.-C. Shan has collaborated with scholars based in United States. Frequent co-authors include William Kent, Daniel Fishman, Weimin Du, Charles G. Hoch, Witold Litwin, James W. Davis, Abbas Rafii, Peter Lyngbæk, David Beech and Nigel Derrett. Their work appears in journals such as Computer and Prentice-Hall, Inc eBooks.
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.