Dan Rubenstein

6.1k citations
132 papers · 4.2k indexed · h-index 37

Dan Rubenstein

129 papers receiving 3.9k citations

Peers

Dan Rubenstein
Comparison fields: 5 of 126
  • Computer Networks and Communications 3.3k
  • Signal Processing 326
  • Artificial Intelligence 733
  • Information Systems 407
  • Hardware and Architecture 117
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Citations per year

Countries citing papers authored by Dan Rubenstein

Since Specialization
Citations

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

Fields of papers citing papers by Dan Rubenstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Dan Rubenstein, 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 Dan Rubenstein Line = papers co-authored together Dan Rubenstein links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20211
4 20188
5 20165
6
An Intelligent Wireless Structural Health Monitoring Solution
20112
7 20104
8 200846
9 2007197
10 2005126
11 20052
12 200580
13
An integrated IP/optical approach for efficient access router failure recovery
20044
14 20044
15 200447
16 20032
17 200212
18 20028
19
An Analysis of a Simple P2P Protocol for Flash Crowd Document Retrieval
20016
20
Pricing Multicasting in More Practical Network Models TITLE2
20012

About Dan Rubenstein

Dan Rubenstein is a scholar working on Computer Networks and Communications, Signal Processing, Hardware and Architecture, Management Science and Operations Research and Electrical and Electronic Engineering, having authored 132 papers that have together received 4.2k indexed citations. Recurring topics across this work include Peer-to-Peer Network Technologies (37 papers), Caching and Content Delivery (31 papers), Network Traffic and Congestion Control (31 papers), Wireless Networks and Protocols (17 papers), Network Security and Intrusion Detection (16 papers), Mobile Ad Hoc Networks (16 papers), Internet Traffic Analysis and Secure E-voting (14 papers) and Cooperative Communication and Network Coding (14 papers). The work is most often cited by research in Computer Networks and Communications (3.3k citations), Signal Processing (326 citations), Artificial Intelligence (733 citations), Information Systems (407 citations) and Hardware and Architecture (117 citations). Dan Rubenstein has collaborated with scholars based in United States, Hong Kong and United Kingdom. Frequent co-authors include Vishal Misra, Angelos D. Keromytis, Don Towsley, Jim Kurose, T. B. Richard, Abhinav Kamra, Jon Feldman, Jens Krause, John C. S. Lui and Angelos Stavrou. Their work appears in journals such as ACM SIGMETRICS Performance Evaluation Review, IEEE/ACM Transactions on Networking, IEEE Journal on Selected Areas in Communications, ACM SIGCOMM Computer Communication Review and Computer Networks.

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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