Dan Rubenstein

6.2k citations
139 papers · 4.7k · h-index 39

Impact in

    • Peer-to-Peer Network Technologies
    • Caching and Content Delivery
    • Network Security and Intrusion Detection
    • Network Traffic and Congestion Control
    • Mobile Ad Hoc Networks
    • Cooperative Communication and Network Coding
    • Wireless Networks and Protocols

Papers in

Dan Rubenstein

136 papers receiving 4.4k citations

Peers

Dan Rubenstein
Comparison fields: 5 of 128
  • Computer Networks and Communications 3.7k
  • Signal Processing 385
  • Artificial Intelligence 875
  • Information Systems 490
  • Hardware and Architecture 128
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Citations per field
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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-authors

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

Showing the 20 most-cited of 139 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002368
2 2006233
3 2007211
4 2007192
5 1997164
6 2004155
7 2002145
8 2005136
9 2003131
10 2007114
11 2010103
12 2006102
13 199997
14 200588
15 201081
16 200775
17 200973
18 201071
19 201270
20 200867

About Dan Rubenstein

Dan Rubenstein is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Artificial Intelligence, Management Science and Operations Research and Signal Processing, having authored 139 papers that have together received 4.7k indexed citations. Recurring topics across this work include Peer-to-Peer Network Technologies (40 papers), Caching and Content Delivery (34 papers), Network Traffic and Congestion Control (32 papers), Wireless Networks and Protocols (17 papers), Mobile Ad Hoc Networks (16 papers), Network Security and Intrusion Detection (16 papers), Internet Traffic Analysis and Secure E-voting (15 papers) and Energy Efficient Wireless Sensor Networks (14 papers). The work is most often cited by research in Computer Networks and Communications (3.7k citations), Signal Processing (385 citations), Artificial Intelligence (875 citations), Information Systems (490 citations) and Hardware and Architecture (128 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, Angelos Stavrou, Jens Krause and John C. S. Lui. Their work appears in journals such as ACM SIGMETRICS Performance Evaluation Review, IEEE/ACM Transactions on Networking, IEEE Journal on Selected Areas in Communications, Computer Networks and ACM SIGCOMM Computer Communication Review.

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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