Michael D. Soo
Impact in
- Signal Processing top 2%
- Data Management and Algorithms
-
- Advanced Database Systems and Queries
- Constraint Satisfaction and Optimization
- Distributed systems and fault tolerance
Papers in
-
- Data Management and Algorithms 8
-
- Advanced Database Systems and Queries 11
- Co-authors
- Richard Thomas Snodgrass (19 shared papers)Christian Søndergaard Jensen (14 shared papers)Michael H. Böhlen (1 shared paper)Curtis Dyreson (7 shared papers)Nick Kline (4 shared papers)Ilsoo Ahn (4 shared papers)John F. Roddick (4 shared papers)Arie Segev (3 shared papers)
- Journals
- ACM SIGMOD Record (3 papers)The VLDB Journal (1 paper)IEEE Transactions on Knowledge and Data Engineering (1 paper)Information Systems (1 paper)Software Practice and Experience (1 paper)
- Partner nations
- United StatesDenmark
In The Last Decade
Michael D. Soo
19 papers receiving 568 citations
Peers
Comparison fields: 5 of 31
- Signal Processing 439
- Computer Networks and Communications 549
- Artificial Intelligence 291
- Information Systems 150
- Geography, Planning and Development 25
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 20 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 | 122 | |
| 2 | Coalescing in Temporal Databases | 1996 | 97 |
| 3 | 1994 | 87 | |
| 4 | 2004 | 73 | |
| 5 | 1996 | 64 | |
| 6 | 2002 | 53 | |
| 7 | 1995 | 22 | |
| 8 | 1995 | 21 | |
| 9 | 1994 | 19 | |
| 10 | Extending Normal Forms to Temporal Relations | 1992 | 18 |
| 11 | Architectural Extensions to support Multiple Calendars | 1992 | 13 |
| 12 | 2002 | 12 | |
| 13 | 1995 | 11 | |
| 14 | 1994 | 4 | |
| 15 | 2006 | 3 | |
| 16 | The TSQL2 Language Specification | 1994 | 3 |
| 17 | 1995 | 2 | |
| 18 | 1995 | 1 | |
| 19 | 1995 | 1 |
About Michael D. Soo
Michael D. Soo is a scholar working on Signal Processing, Computer Networks and Communications, Artificial Intelligence, Information Systems and Control and Systems Engineering, having authored 19 papers that have together received 626 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (11 papers), Data Management and Algorithms (8 papers), Semantic Web and Ontologies (6 papers), Data Mining Algorithms and Applications (3 papers), Iterative Learning Control Systems (1 paper), Service-Oriented Architecture and Web Services (1 paper), Engineering and Test Systems (1 paper) and Power Systems and Technologies (1 paper). The work is most often cited by research in Signal Processing (439 citations), Computer Networks and Communications (549 citations), Artificial Intelligence (291 citations), Information Systems (150 citations) and Geography, Planning and Development (25 citations). Michael D. Soo has collaborated with scholars based in United States and Denmark. Frequent co-authors include Richard Thomas Snodgrass, Christian Søndergaard Jensen, Michael H. Böhlen, Curtis Dyreson, Nick Kline, Ilsoo Ahn, John F. Roddick, Arie Segev, T. Y. Cliff Leung and Fabio Chiodo Grandi. Their work appears in journals such as ACM SIGMOD Record, The VLDB Journal, IEEE Transactions on Knowledge and Data Engineering, Information Systems and Software Practice and Experience.
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.