Yasin N. Silva

1.1k citations
42 papers · 635 indexed · h-index 17
Topics
Data Management and Algorithms (19 papers)Advanced Database Systems and Queries (17 papers)Bullying, Victimization, and Aggression (11 papers)
Partner nations
United StatesChinaQatar

In The Last Decade

Yasin N. Silva

40 papers receiving 602 citations

Peers

Yasin N. Silva
Comparison fields: 5 of 61
  • Signal Processing 324
  • Artificial Intelligence 296
  • Computer Networks and Communications 241
  • Information Systems 200
  • Social Psychology 154
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Orkut Buyukkokten United States
Masashi Toyoda Japan
Clare R. Voss United States
Kostas Stefanidis Greece
Steven M. Beitzel United States
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Citations per field
00.5×10×17.1×
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Citations per year

Countries citing papers authored by Yasin N. Silva

Since Specialization
Citations

This map shows the geographic impact of Yasin N. Silva'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 Yasin N. Silva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yasin N. Silva more than expected).

Fields of papers citing papers by Yasin N. Silva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yasin N. Silva. 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 Yasin N. Silva. The network helps show where Yasin N. Silva may publish in the future.

Co-authorship network of co-authors of Yasin N. Silva

This figure shows the co-authorship network connecting the top 25 collaborators of Yasin N. Silva. A scholar is included among the top collaborators of Yasin N. Silva based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yasin N. Silva. Yasin N. Silva is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 7
3 29
4 1
5 32
6 9
7 4
8 5
9 1
10
Learning SQL: Beyond Traditional Relational Databases
1
11 23
12 3
13 16
14 33
15 26
16
Query Processing with K-Anonymity
3
17
Technical Report: MapReduce-based Similarity Joins
1
18 18
19 3
20 18

About Yasin N. Silva

Yasin N. Silva is a scholar working on Signal Processing, Computer Networks and Communications and Management Science and Operations Research, having authored 42 papers that have together received 635 indexed citations. Recurring topics across this work include Data Management and Algorithms (19 papers), Advanced Database Systems and Queries (17 papers) and Bullying, Victimization, and Aggression (11 papers). The work is most often cited by research in Signal Processing (324 citations), Computer Networks and Communications (241 citations) and Artificial Intelligence (296 citations). Yasin N. Silva has collaborated with scholars based in United States, China and Qatar. Frequent co-authors include Walid G. Aref, Deborah L. Hall, Lu Cheng, Huan Liu, Mohamed H. Ali, Jundong Li, Xiaopeng Xiong, Spencer S. Pearson, Per-Åke Larson and Jingren Zhou. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Proceedings of the VLDB Endowment and Frontiers in Psychiatry.

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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