M.-C. Shan
Impact in
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- Advanced Database Systems and Queries
- Software top 10%
- Model-Driven Software Engineering Techniques
Papers in
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- Advanced Database Systems and Queries 6
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- Big Data and Business Intelligence 1
- ERP Systems Implementation and Impact 1
- Co-authors
- William Kent (4 shared papers)Nigel Derrett (2 shared papers)David Beech (2 shared papers)Peter Lyngbæk (2 shared papers)James W. Davis (2 shared papers)Charles G. Hoch (2 shared papers)Daniel Fishman (2 shared papers)Witold Litwin (2 shared papers)
- Journals
- Computer (1 paper)IEEE International Conference on Granular Computing (GrC) (2 papers)Proceedings - International Conference on Data Engineering (2 papers)Prentice-Hall, Inc eBooks (1 paper)
- Partner nations
- United States
In The Last Decade
M.-C. Shan
11 papers receiving 566 citations
Peers
Comparison fields: 5 of 34
- Computer Networks and Communications 465
- Software 36
- Management Information Systems 58
- Information Systems 103
- Artificial Intelligence 135
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 23 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 | 312 |
| 2 | 1991 | 177 | |
| 3 | Overview of the IRIS DBMS | 1990 | 62 |
| 4 | 2005 | 62 | |
| 5 | 2002 | 28 | |
| 6 | 1989 | 9 | |
| 7 | 2002 | 6 | |
| 8 | 2002 | 4 | |
| 9 | 2005 | 3 | |
| 10 | 2005 | 2 | |
| 11 | 2005 | 1 |
About M.-C. Shan
M.-C. Shan is a scholar working on Computer Networks and Communications, Management Information Systems, Signal Processing, Management of Technology and Innovation and Management Science and Operations Research, having authored 11 papers that have together received 666 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (6 papers), Time Series Analysis and Forecasting (1 paper), Impact of AI and Big Data on Business and Society (1 paper), Enterprise Management and Information Systems (1 paper), Big Data and Business Intelligence (1 paper), Access Control and Trust (1 paper), ERP Systems Implementation and Impact (1 paper) and Service-Oriented Architecture and Web Services (1 paper). The work is most often cited by research in Computer Networks and Communications (465 citations), Software (36 citations), Management Information Systems (58 citations), Information Systems (103 citations) and Artificial Intelligence (135 citations). M.-C. Shan has collaborated with scholars based in United States. Frequent co-authors include William Kent, Nigel Derrett, David Beech, Peter Lyngbæk, James W. Davis, Charles G. Hoch, Daniel Fishman, Witold Litwin, Fabio Casati and Mohammad A. Ketabchi. Their work appears in journals such as Computer, IEEE International Conference on Granular Computing (GrC), Proceedings - International Conference on Data Engineering 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.