S. Dao
Impact in
- Signal Processing top 2%
- Data Management and Algorithms
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- Mobile Ad Hoc Networks
- Wireless Networks and Protocols
- Advanced Database Systems and Queries
- Cooperative Communication and Network Coding
- Opportunistic and Delay-Tolerant Networks
- Energy Efficient Wireless Sensor Networks
Papers in
-
- Advanced Database Systems and Queries 6
- Mobile Ad Hoc Networks 6
- Cooperative Communication and Network Coding 4
- Opportunistic and Delay-Tolerant Networks 4
- Wireless Networks and Protocols 3
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- Service-Oriented Architecture and Web Services 2
- Co-authors
- Srikanth V. Krishnamurthy (5 shared papers)Sam Chamberlain (1 shared paper)Ouri Wolfson (2 shared papers)A. Prasad Sistla (1 shared paper)Sumeet Agarwal (1 shared paper)R. Katz (1 shared paper)Tamer ElBatt (1 shared paper)P. Ward (2 shared papers)
- Journals
- Proceedings of the IEEE (1 paper)
- Partner nations
- United States
In The Last Decade
S. Dao
15 papers receiving 924 citations
S. Dao's Hit Papers
Peers
Comparison fields: 5 of 39
- Signal Processing 421
- Computer Networks and Communications 865
- Geography, Planning and Development 129
- Transportation 34
- Artificial Intelligence 151
Countries citing papers authored by S. Dao
This map shows the geographic impact of S. Dao'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 S. Dao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Dao more than expected).
Fields of papers citing papers by S. Dao
This network shows the impact of papers produced by S. Dao. 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 S. Dao. The network helps show where S. Dao may publish in the future.
Co-authors
The 23 scholars most cited alongside S. Dao, 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 | Modeling and querying moving objects Hit paper breakdown → | 2002 | 413 |
| 2 | 2002 | 244 | |
| 3 | 2002 | 153 | |
| 4 | 1987 | 113 | |
| 5 | 2002 | 49 | |
| 6 | 2002 | 26 | |
| 7 | 2002 | 10 | |
| 8 | 2002 | 7 | |
| 9 | 2003 | 5 | |
| 10 | 2002 | 3 | |
| 11 | 2002 | 3 | |
| 12 | 2002 | 2 | |
| 13 | 2003 | 2 | |
| 14 | 2023 | 1 | |
| 15 | 2003 | 1 | |
| 16 | An introduction to AIDA—a frontend to heterogeneous databases | 1986 | 0 |
| 17 | 2002 | 0 | |
| 18 | 2002 | 0 |
About S. Dao
S. Dao is a scholar working on Computer Networks and Communications, Information Systems, Signal Processing, Artificial Intelligence and Electrical and Electronic Engineering, having authored 18 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (6 papers), Mobile Ad Hoc Networks (6 papers), Cooperative Communication and Network Coding (4 papers), Opportunistic and Delay-Tolerant Networks (4 papers), Wireless Networks and Protocols (3 papers), Semantic Web and Ontologies (3 papers), Data Management and Algorithms (3 papers) and Service-Oriented Architecture and Web Services (2 papers). The work is most often cited by research in Signal Processing (421 citations), Computer Networks and Communications (865 citations), Geography, Planning and Development (129 citations), Transportation (34 citations) and Artificial Intelligence (151 citations). S. Dao has collaborated with scholars based in United States. Frequent co-authors include Srikanth V. Krishnamurthy, Sam Chamberlain, Ouri Wolfson, A. Prasad Sistla, Sumeet Agarwal, R. Katz, Tamer ElBatt, P. Ward, David Brill and P. Sinha. Their work appears in journals such as Proceedings of the IEEE.
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.