S. Dao

1.5k citations
17 papers · 896 · h-index 7

Impact in

    • 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
    • Data Management and Algorithms

Papers in

S. Dao

14 papers receiving 794 citations

Peers

S. Dao
Comparison fields: 5 of 36
  • Computer Networks and Communications 759
  • Signal Processing 336
  • Geography, Planning and Development 97
  • Transportation 30
  • Artificial Intelligence 133
Replace Ling Ding with:
Ling Ding United States
Kexin Xie Australia
Mohamed Ali United States
Julie Letchner United States
Qiang Zhu United States
Serafino Cicerone Italy
Ling Xiao China
Mohamed A. Sharaf United States
Niki Pissinou United States
Ying Zhong China
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Citations per field
00.5×4.8×
Ling Ding · 1×
Citations per year

Countries citing papers authored by S. Dao

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with S. Dao Line = papers co-authored together S. Dao links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2002324
2 2002228
3 2002141
4 1987102
5 200245
6 200225
7 200210
8 20026
9 20034
10 20023
11 20023
12 20032
13 20022
14 20031
15 20230
16 20020
17 20020

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 17 papers that have together received 896 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), Data Management and Algorithms (3 papers), Semantic Web and Ontologies (3 papers), Wireless Networks and Protocols (3 papers) and Vehicular Ad Hoc Networks (VANETs) (2 papers). The work is most often cited by research in Computer Networks and Communications (759 citations), Signal Processing (336 citations), Geography, Planning and Development (97 citations), Transportation (30 citations) and Artificial Intelligence (133 citations). S. Dao has collaborated with scholars based in United States. Frequent co-authors include Srikanth V. Krishnamurthy, A. Prasad Sistla, Ouri Wolfson, Sam Chamberlain, Sumeet Agarwal, R. Katz, Tamer ElBatt, Robert M. MacGregor, P. Ward 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.

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