Arvind Narayanan

18.8k citations
80 papers · 7.9k · 7 hit papers · h-index 33

Impact in

Papers in

    • Internet Traffic Analysis and Secure E-voting 20
    • Privacy-Preserving Technologies in Data 15
    • Cryptography and Data Security 7
    • Spam and Phishing Detection 9
    • Blockchain Technology Applications and Security 9

Arvind Narayanan

76 papers receiving 7.4k citations

Arvind Narayanan's Hit Papers

Leakage and the reproducibility crisis in machine-learning-based science 2023 · 260 citations
2600+6+12Years since publication4008001.2k

Peers

Arvind Narayanan
Comparison fields: 5 of 182
  • Health Informatics 223
  • Information Systems 2.9k
  • Artificial Intelligence 4.1k
  • Signal Processing 831
  • Computer Science Applications 392
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Citations per field
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Citations per year

Countries citing papers authored by Arvind Narayanan

Since Specialization
Citations

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

Fields of papers citing papers by Arvind Narayanan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Semantics derived automatically from language corpora contain human-like biases
Hit paper breakdown →
20171432
2
Robust De-anonymization of Large Sparse Datasets
Hit paper breakdown →
20081304
3
SoK: Research Perspectives and Challenges for Bitcoin and Cryptocurrencies
Hit paper breakdown →
2015642
4
Online Tracking
Hit paper breakdown →
2016361
5 2014264
6
Leakage and the reproducibility crisis in machine-learning-based science
Hit paper breakdown →
2023260
7
Dark Patterns at Scale
Hit paper breakdown →
2019252
8
The Web Never Forgets
Hit paper breakdown →
2014250
9 2005250
10
Location Privacy via Private Proximity Testing.
2011201
11 2010198
12 2011194
13 2012175
14 2016162
15 2017154
16 2018146
17
Adnostic: Privacy Preserving Targeted Advertising
2010125
18 2015111
19 2013106
20
An empirical study of Namecoin and lessons for decentralized namespace design
201198

About Arvind Narayanan

Arvind Narayanan is a scholar working on Artificial Intelligence, Information Systems, Sociology and Political Science, Signal Processing and Computer Networks and Communications, having authored 80 papers that have together received 7.9k indexed citations. Recurring topics across this work include Internet Traffic Analysis and Secure E-voting (20 papers), Privacy, Security, and Data Protection (19 papers), Privacy-Preserving Technologies in Data (15 papers), Spam and Phishing Detection (9 papers), Blockchain Technology Applications and Security (9 papers), Cryptography and Data Security (7 papers), Advanced Malware Detection Techniques (7 papers) and Ethics and Social Impacts of AI (6 papers). The work is most often cited by research in Health Informatics (223 citations), Information Systems (2.9k citations), Artificial Intelligence (4.1k citations), Signal Processing (831 citations) and Computer Science Applications (392 citations). Arvind Narayanan has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Vitaly Shmatikov, Joanna J. Bryson, Aylin Caliskan, Steven Englehardt, Jeremy Clark, Edward W. Felten, Sayash Kapoor, Yaniv Erlich, Joseph Bonneau and Andrew Miller. Their work appears in journals such as Communications of the ACM, Queue, Science, Proceedings of the ACM on Human-Computer Interaction and IEEE Security & Privacy.

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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