Michael D. Soo
Impact in
- Signal Processing top 2%
- Data Management and Algorithms
- Time Series Analysis and Forecasting
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- Advanced Database Systems and Queries
- Constraint Satisfaction and Optimization
- Distributed systems and fault tolerance
Papers in
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- Advanced Database Systems and Queries 9
- Constraint Satisfaction and Optimization 1
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- Data Management and Algorithms 9
- Co-authors
- Richard T. Snodgrass (15 shared papers)Christian S. Jensen (11 shared papers)Michael H. Böhlen (1 shared paper)Khaled K. Al-Taha (2 shared papers)Curtis Dyreson (6 shared papers)Nick Kline (4 shared papers)Ramez Elmasri (4 shared papers)Fábio Grandi (3 shared papers)
- Journals
- ACM SIGMOD Record (5 papers)Information Systems (1 paper)Software Practice and Experience (1 paper)The VLDB Journal (1 paper)IEEE Transactions on Knowledge and Data Engineering (1 paper)
- Partner nations
- United StatesDenmark
In The Last Decade
Michael D. Soo
16 papers receiving 500 citations
Peers
Comparison fields: 5 of 32
- Signal Processing 415
- Computer Networks and Communications 482
- Geography, Planning and Development 55
- Artificial Intelligence 249
- Information Systems 132
Countries citing papers authored by Michael D. Soo
This map shows the geographic impact of Michael D. Soo'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 Michael D. Soo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael D. Soo more than expected).
Fields of papers citing papers by Michael D. Soo
This network shows the impact of papers produced by Michael D. Soo. 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 Michael D. Soo. The network helps show where Michael D. Soo may publish in the future.
Co-authors
The 21 scholars most cited alongside Michael D. Soo, 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 | 1994 | 91 | |
| 2 | Coalescing in Temporal Databases | 1996 | 73 |
| 3 | 1991 | 71 | |
| 4 | 2004 | 63 | |
| 5 | 1994 | 56 | |
| 6 | 1996 | 54 | |
| 7 | 2002 | 50 | |
| 8 | 1993 | 37 | |
| 9 | 1994 | 27 | |
| 10 | Architectural Extensions to support Multiple Calendars | 1992 | 13 |
| 11 | Extending Normal Forms to Temporal Relations | 1992 | 12 |
| 12 | 1994 | 10 | |
| 13 | 2002 | 9 | |
| 14 | 2006 | 3 | |
| 15 | The TSQL2 Language Specification | 1994 | 3 |
| 16 | 1994 | 1 |
About Michael D. Soo
Michael D. Soo is a scholar working on Computer Networks and Communications, Signal Processing, Artificial Intelligence, Information Systems and Control and Systems Engineering, having authored 16 papers that have together received 573 indexed citations. Recurring topics across this work include Data Management and Algorithms (9 papers), Advanced Database Systems and Queries (9 papers), Semantic Web and Ontologies (4 papers), Data Mining Algorithms and Applications (3 papers), Geographic Information Systems Studies (2 papers), Experimental Learning in Engineering (1 paper), Constraint Satisfaction and Optimization (1 paper) and Engineering and Test Systems (1 paper). The work is most often cited by research in Signal Processing (415 citations), Computer Networks and Communications (482 citations), Geography, Planning and Development (55 citations), Artificial Intelligence (249 citations) and Information Systems (132 citations). Michael D. Soo has collaborated with scholars based in United States and Denmark. Frequent co-authors include Richard T. Snodgrass, Christian S. Jensen, Michael H. Böhlen, Khaled K. Al-Taha, Curtis Dyreson, Nick Kline, Ramez Elmasri, Fábio Grandi, John F. Roddick and Ilsoo Ahn. Their work appears in journals such as ACM SIGMOD Record, Information Systems, Software Practice and Experience, The VLDB Journal and IEEE Transactions on Knowledge and Data Engineering.
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.