Dave Levin

2.6k citations
73 papers · 1.6k · h-index 24

Impact in

Papers in

Dave Levin

68 papers receiving 1.5k citations

Peers

Dave Levin
Comparison fields: 5 of 75
  • Computer Networks and Communications 1.1k
  • Signal Processing 269
  • Artificial Intelligence 718
  • Information Systems 491
  • Hardware and Architecture 88
Replace Micah Sherr with:
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Mema Roussopoulos United States
Radia Perlman United States
Wu-chang Feng United States
Pavel Čeleda Czechia
Maurizio Matteo Munafò Italy
Wei‐Pang Yang Taiwan
Li Gong United States
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Citations per field
00.5×3.9×
Micah Sherr · 1×
Citations per year

Countries citing papers authored by Dave Levin

Since Specialization
Citations

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

Fields of papers citing papers by Dave Levin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1
TrInc: small trusted hardware for large distributed systems
2009113
2 2008108
3 2019108
4 201590
5 201569
6 200867
7 201455
8 201752
9 201652
10 201351
11 201646
12
A longitudinal, end-to-end view of the DNSSEC ecosystem
201743
13 201839
14 201936
15 201833
16 201730
17 201928
18 200927
19
Accountability as a service
200726
20 201826

About Dave Levin

Dave Levin is a scholar working on Computer Networks and Communications, Artificial Intelligence, Information Systems, Signal Processing and Electrical and Electronic Engineering, having authored 73 papers that have together received 1.6k indexed citations. Recurring topics across this work include Internet Traffic Analysis and Secure E-voting (31 papers), Network Security and Intrusion Detection (22 papers), Peer-to-Peer Network Technologies (15 papers), Caching and Content Delivery (14 papers), Advanced Malware Detection Techniques (12 papers), Network Traffic and Congestion Control (8 papers), IPv6, Mobility, Handover, Networks, Security (7 papers) and Spam and Phishing Detection (6 papers). The work is most often cited by research in Computer Networks and Communications (1.1k citations), Signal Processing (269 citations), Artificial Intelligence (718 citations), Information Systems (491 citations) and Hardware and Architecture (88 citations). Dave Levin has collaborated with scholars based in United States, Mexico and Germany. Frequent co-authors include Neil Spring, Alan Mislove, Bobby Bhattacharjee, David Choffnes, Christo Wilson, Bruce M. Maggs, Katrina LaCurts, Aaron Schulman, Taejoong Chung and Theophilus Benson. Their work appears in journals such as ACM SIGCOMM Computer Communication Review, Journal of Vision, Communications of the ACM, ACM SIGMETRICS Performance Evaluation Review and ACM Transactions on Privacy and Security.

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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