Bryan Parno

9.1k citations
71 papers · 3.7k · 3 hit papers · h-index 29

Impact in

Papers in

Bryan Parno

65 papers receiving 3.5k citations

Bryan Parno's Hit Papers

Pinocchio: Nearly Practical Verifiable Computation 2013 · 418 citations
4180+7+14Years since publication100200300400

Peers

Bryan Parno
Comparison fields: 5 of 66
  • Signal Processing 939
  • Computer Networks and Communications 1.8k
  • Artificial Intelligence 2.5k
  • Information Systems 1.6k
  • Hardware and Architecture 369
Replace Avishai Wool with:
Avishai Wool Israel
Ehab Al‐Shaer United States
Frank Piessens Belgium
Duminda Wijesekera United States
Heejo Lee South Korea
Binyu Zang China
Galen Hunt United States
Dongyan Xu United States
Miguel Correia Portugal
Pramod Bhatotia Germany
Bryan Parno relative to Avishai Wool Israel Avishai Wool's profile →
Citations per field
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Citations per year

Countries citing papers authored by Bryan Parno

Since Specialization
Citations

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

Fields of papers citing papers by Bryan Parno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Distributed Detection of Node Replication Attacks in Sensor Networks
Hit paper breakdown →
2005448
2
Flicker
Hit paper breakdown →
2008427
3
Pinocchio: Nearly Practical Verifiable Computation
Hit paper breakdown →
2013418
4
Challenges in Securing Vehicular Networks
2005325
5 2014179
6 2015154
7 2012138
8 2007126
9 2010118
10 201499
11 201790
12 201689
13 201589
14 201184
15 200874
16
Bootstrapping trust in a trusted platform
200872
17 201365
18 201363
19 202151
20 200948

About Bryan Parno

Bryan Parno is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Signal Processing and Hardware and Architecture, having authored 71 papers that have together received 3.7k indexed citations. Recurring topics across this work include Security and Verification in Computing (44 papers), Advanced Malware Detection Techniques (25 papers), Distributed systems and fault tolerance (17 papers), Cryptography and Data Security (10 papers), Internet Traffic Analysis and Secure E-voting (10 papers), Cloud Data Security Solutions (10 papers), Parallel Computing and Optimization Techniques (9 papers) and User Authentication and Security Systems (8 papers). The work is most often cited by research in Signal Processing (939 citations), Computer Networks and Communications (1.8k citations), Artificial Intelligence (2.5k citations), Information Systems (1.6k citations) and Hardware and Architecture (369 citations). Bryan Parno has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Adrian Perrig, Jonathan M. McCune, Jon Howell, Virgil D. Gligor, Mariana Raykova, Craig Gentry, Michael K. Reiter, Hiroshi Isozaki, Chris Hawblitzel and Jacob R. Lorch. Their work appears in journals such as Proceedings of the ACM on Programming Languages, Communications of the ACM, ACM SIGCOMM Computer Communication Review, ACM Transactions on Programming Languages and Systems and ACM SIGPLAN Notices.

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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