Adam Silberstein

437 total citations
6 papers, 274 citations indexed

About

Adam Silberstein is a scholar working on Computer Networks and Communications, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Adam Silberstein has authored 6 papers receiving a total of 274 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Networks and Communications, 3 papers in Signal Processing and 2 papers in Artificial Intelligence. Recurrent topics in Adam Silberstein's work include Energy Efficient Wireless Sensor Networks (5 papers), Distributed Sensor Networks and Detection Algorithms (4 papers) and Data Management and Algorithms (3 papers). Adam Silberstein is often cited by papers focused on Energy Efficient Wireless Sensor Networks (5 papers), Distributed Sensor Networks and Detection Algorithms (4 papers) and Data Management and Algorithms (3 papers). Adam Silberstein collaborates with scholars based in United States. Adam Silberstein's co-authors include Jun Yang, Rebecca Braynard, Kamesh Munagala, Jun Yang, Gavino Puggioni and Alan E. Gelfand and has published in prestigious journals such as Journal of Media Literacy Education and Very Large Data Bases.

In The Last Decade

Adam Silberstein

6 papers receiving 259 citations

Peers

Adam Silberstein
Jonathan Beaver United States
Adam Silberstein
Citations per year, relative to Adam Silberstein Adam Silberstein (= 1×) peers Jonathan Beaver

Countries citing papers authored by Adam Silberstein

Since Specialization
Citations

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

Fields of papers citing papers by Adam Silberstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Adam Silberstein. 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 Adam Silberstein. The network helps show where Adam Silberstein may publish in the future.

Co-authorship network of co-authors of Adam Silberstein

This figure shows the co-authorship network connecting the top 25 collaborators of Adam Silberstein. A scholar is included among the top collaborators of Adam Silberstein 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 Adam Silberstein. Adam Silberstein is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

6 of 6 papers shown
1.
Silberstein, Adam, Gavino Puggioni, Alan E. Gelfand, Kamesh Munagala, & Jun Yang. (2007). Suppression and failures in sensor networks: a Bayesian approach. Journal of Media Literacy Education. 842–853. 38 indexed citations
2.
Silberstein, Adam, et al.. (2007). Data›Driven Processing in Sensor Networks. Journal of Media Literacy Education. 10–21. 23 indexed citations
3.
Silberstein, Adam, Alan E. Gelfand, Kamesh Munagala, Gavino Puggioni, & Jun Yang. (2007). Making Sense of Suppressions and Failures in Sensor Data: A Bayesian Approach.. Very Large Data Bases. 103(2). 842–853. 8 indexed citations
4.
Silberstein, Adam & Jun Yang. (2007). Many-to-Many Aggregation for Sensor Networks. 13. 986–995. 31 indexed citations
5.
Silberstein, Adam, Rebecca Braynard, & Jun Yang. (2006). Constraint chaining. 157–168. 116 indexed citations
6.
Silberstein, Adam, Kamesh Munagala, & Jun Yang. (2006). Energy-efficient monitoring of extreme values in sensor networks. 169–180. 58 indexed citations

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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