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
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- Synthesis and Biological Evaluation 2
- Co-authors
- Andreas Haeberlen (7 shared papers)Benjamin C. Pierce (2 shared papers)Bryan Parno (1 shared paper)Wenchao Zhou (1 shared paper)Jon Howell (1 shared paper)Boon Thau Loo (1 shared paper)Micah Sherr (1 shared paper)Brian Zill (1 shared paper)
- Journals
- Journal of Instrumentation (1 paper)ACM SIGPLAN Notices (1 paper)Journal of Fluorine Chemistry (1 paper)Operating Systems Design and Implementation (2 papers)ScholarlyCommons (University of Pennsylvania) (3 papers)
- Partner nations
- United StatesItalySwitzerland
In The Last Decade
Arjun Narayan
12 papers receiving 404 citations
Peers
Comparison fields: 5 of 42
- Artificial Intelligence 305
- Information Systems and Management 54
- Computer Networks and Communications 149
- Signal Processing 67
- Information Systems 115
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 23 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 | 118 | |
| 2 | 2011 | 100 | |
| 3 | Differential privacy under fire | 2011 | 83 |
| 4 | 2012 | 47 | |
| 5 | 2013 | 23 | |
| 6 | 2013 | 19 | |
| 7 | 2015 | 17 | |
| 8 | 2017 | 13 | |
| 9 | 2017 | 11 | |
| 10 | Compute globally, act locally: protecting federated systems from systemic threats | 2014 | 5 |
| 11 | Distributed Differential Privacy and Applications | 2015 | 3 |
| 12 | 2013 | 1 |
About Arjun Narayan
Arjun Narayan is a scholar working on Artificial Intelligence, Organic Chemistry, Molecular Biology, Information Systems and Computer Networks and Communications, having authored 12 papers that have together received 440 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), Phenothiazines and Benzothiazines Synthesis and Activities (2 papers), Synthesis and Biological Evaluation (2 papers), Software System Performance and Reliability (1 paper), Access Control and Trust (1 paper) and Blockchain Technology Applications and Security (1 paper). The work is most often cited by research in Artificial Intelligence (305 citations), Information Systems and Management (54 citations), Computer Networks and Communications (149 citations), Signal Processing (67 citations) and Information Systems (115 citations). Arjun Narayan has collaborated with scholars based in United States, Italy and Switzerland. Frequent co-authors include Andreas Haeberlen, Benjamin C. Pierce, Bryan Parno, Wenchao Zhou, Jon Howell, Boon Thau Loo, Micah Sherr, Brian Zill, Danfeng Zhang and Jacob R. Lorch. Their work appears in journals such as Journal of Instrumentation, ACM SIGPLAN Notices, Journal of Fluorine Chemistry, 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.