Bryan Parno

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

Bryan Parno

65 papers receiving 3.5k citations

Hit Papers

Pinocchio: Nearly Practical Verifiable Computation4182005202620122019100200300400

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
00.5×2.5×
Avishai Wool · 1×
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-authorship network

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
#Work
1 20243
2 20241
3 202313
4 20232
5 202331
6 20226
7
Don't Yank My Chain: Auditable {NF} Service Chaining
20212
8
Finding Invariants of Distributed Systems: It's a Small (Enough) World After All.
20212
9 20180
10 20180
11 20183
12
Vale: Verifying High-Performance Cryptographic Assembly Code
201731
13 2015154
14
Missive: Fast Application Launch From an Untrusted Buffer Cache
20141
15 201499
16
How to run POSIX apps in a minimal picoprocess
201315
17
Embassies: radically refactoring the web
201322
18 201343
19
Pinocchio: Nearly Practical Verifiable Computationbreakdown →
2013418
20
Bootstrapping trust in a trusted platform
200872

About Bryan Parno

Bryan Parno is a scholar working on Signal Processing, Artificial Intelligence 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), Internet Traffic Analysis and Secure E-voting (10 papers), Cloud Data Security Solutions (10 papers), Cryptography and Data Security (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) and Artificial Intelligence (2.5k 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, IEEE Transactions on Dependable and Secure Computing 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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