Arjun Narayan
Impact in
- Artificial Intelligence top 2%
- Privacy-Preserving Technologies in Data
- Logic, programming, and type systems
- Security and Verification in Computing
- Cryptography and Data Security
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- Distributed systems and fault tolerance
- Network Security and Intrusion Detection
- Software-Defined Networks and 5G
Papers in
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- Privacy-Preserving Technologies in Data 8
- Security and Verification in Computing 2
- Logic, programming, and type systems 1
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- Network Security and Intrusion Detection 1
- Co-authors
- Andreas Haeberlen (9 shared papers)BENJAMIN C. PIERCE (4 shared papers)Marco Gaboardi (3 shared papers)Justin Hsu (3 shared papers)Sanjeev Khanna (1 shared paper)Aaron Roth (1 shared paper)Brian Zill (1 shared paper)Danfeng Zhang (1 shared paper)
- Journals
- ACM SIGPLAN Notices (1 paper)ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages (POPL) (1 paper)Operating Systems Design and Implementation (2 papers)European Conference on Computer Systems (2 papers)ScholarlyCommons (University of Pennsylvania) (2 papers)
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
Arjun Narayan
10 papers receiving 725 citations
Peers
Comparison fields: 5 of 35
- Artificial Intelligence 615
- Computer Networks and Communications 94
- Information Systems 86
- Software 17
- Computational Theory and Mathematics 35
Countries citing papers authored by Arjun Narayan
This map shows the geographic impact of Arjun Narayan'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 Arjun Narayan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arjun Narayan more than expected).
Fields of papers citing papers by Arjun Narayan
This network shows the impact of papers produced by Arjun Narayan. 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 Arjun Narayan. The network helps show where Arjun Narayan may publish in the future.
Co-authors
The 16 scholars most cited alongside Arjun Narayan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 202 | |
| 2 | 2014 | 122 | |
| 3 | 2013 | 120 | |
| 4 | 2011 | 103 | |
| 5 | Differential privacy under fire | 2011 | 84 |
| 6 | 2012 | 49 | |
| 7 | 2013 | 31 | |
| 8 | 2015 | 16 | |
| 9 | 2017 | 14 | |
| 10 | Compute globally, act locally: protecting federated systems from systemic threats | 2014 | 5 |
About Arjun Narayan
Arjun Narayan is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 10 papers that have together received 746 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (8 papers), Security and Verification in Computing (2 papers), Logic, programming, and type systems (1 paper), Digital and Cyber Forensics (1 paper) and Network Security and Intrusion Detection (1 paper). The work is most often cited by research in Artificial Intelligence (615 citations), Computer Networks and Communications (94 citations), Information Systems (86 citations), Software (17 citations) and Computational Theory and Mathematics (35 citations). Arjun Narayan has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Andreas Haeberlen, BENJAMIN C. PIERCE, Marco Gaboardi, Justin Hsu, Sanjeev Khanna, Aaron Roth, Brian Zill, Danfeng Zhang, Wenchao Zhou and Chris Hawblitzel. Their work appears in journals such as ACM SIGPLAN Notices, ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages (POPL), Operating Systems Design and Implementation, European Conference on Computer Systems and ScholarlyCommons (University of Pennsylvania).
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.