Arjun Narayan
Impact in
- Artificial Intelligence top 5%
- Privacy-Preserving Technologies in Data
- Cryptography and Data Security
- Security and Verification in Computing
- Internet Traffic Analysis and Secure E-voting
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- Scientific Computing and Data Management
Papers in ⓘ
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- Privacy-Preserving Technologies in Data 7
- Cryptography and Data Security 6
- Internet Traffic Analysis and Secure E-voting 3
- Co-authors
- Andreas Haeberlen (7 shared papers)Benjamin C. Pierce (2 shared papers)Micah Sherr (1 shared paper)Wenchao Zhou (1 shared paper)Boon Thau Loo (1 shared paper)Bryan Parno (1 shared paper)Chris Hawblitzel (1 shared paper)Brian Zill (1 shared paper)
- Journals
- ACM SIGPLAN Notices (1 paper)Journal of Instrumentation (1 paper)Operating Systems Design and Implementation (2 papers)ScholarlyCommons (University of Pennsylvania) (3 papers)
- Partner nations
- United StatesSwitzerlandItaly
In The Last Decade
Arjun Narayan
10 papers receiving 333 citations
Peers
Comparison fields: 5 of 34
- Artificial Intelligence 262
- Information Systems and Management 50
- Signal Processing 66
- Computer Networks and Communications 135
- Information Systems 99
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 21 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 | 99 | |
| 2 | 2011 | 91 | |
| 3 | Differential privacy under fire | 2011 | 72 |
| 4 | 2012 | 46 | |
| 5 | 2015 | 13 | |
| 6 | 2017 | 11 | |
| 7 | 2013 | 11 | |
| 8 | 2017 | 10 | |
| 9 | Compute globally, act locally: protecting federated systems from systemic threats | 2014 | 5 |
| 10 | Distributed Differential Privacy and Applications | 2015 | 3 |
About Arjun Narayan
Arjun Narayan is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Sociology and Political Science and Radiation, having authored 10 papers that have together received 361 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (7 papers), Cryptography and Data Security (6 papers), Internet Traffic Analysis and Secure E-voting (3 papers), Particle Detector Development and Performance (1 paper), Advanced Malware Detection Techniques (1 paper), Distributed systems and fault tolerance (1 paper), Radiation Detection and Scintillator Technologies (1 paper) and Access Control and Trust (1 paper). The work is most often cited by research in Artificial Intelligence (262 citations), Information Systems and Management (50 citations), Signal Processing (66 citations), Computer Networks and Communications (135 citations) and Information Systems (99 citations). Arjun Narayan has collaborated with scholars based in United States, Switzerland and Italy. Frequent co-authors include Andreas Haeberlen, Benjamin C. Pierce, Micah Sherr, Wenchao Zhou, Boon Thau Loo, Bryan Parno, Chris Hawblitzel, Brian Zill, Jon Howell and Danfeng Zhang. Their work appears in journals such as ACM SIGPLAN Notices, Journal of Instrumentation, Operating Systems Design and Implementation 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.