Elette Boyle

3.7k citations
63 papers · 2.4k · h-index 27

Impact in

Papers in

Elette Boyle

59 papers receiving 2.4k citations

Peers

Elette Boyle
Comparison fields: 5 of 45
  • Artificial Intelligence 2.3k
  • Computational Theory and Mathematics 985
  • Information Systems 551
  • Computer Vision and Pattern Recognition 301
  • Computer Networks and Communications 262
Replace Niv Gilboa with:
Niv Gilboa Israel
Huijia Lin United States
Carmit Hazay Israel
Eiichiro Fujisaki Japan
Nicolas Gama France
Vinod Vaikuntanathan United States
Goichiro Hanaoka Japan
Allison Lewko United States
Valerio Pastro United States
Elette Boyle relative to Niv Gilboa Israel Niv Gilboa's profile →
Citations per field
00.5×1.5×2.2×
Niv Gilboa · 1×
Citations per year

Countries citing papers authored by Elette Boyle

Since Specialization
Citations

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

Fields of papers citing papers by Elette Boyle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014257
2 2016227
3 2015205
4 2019153
5 2019125
6 2014124
7 2016120
8 2018120
9 201981
10 202178
11 201771
12 202069
13 201763
14 201162
15 201954
16 201747
17 201543
18 201643
19 201542
20 201338

About Elette Boyle

Elette Boyle is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Information Systems, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 63 papers that have together received 2.4k indexed citations. Recurring topics across this work include Cryptography and Data Security (59 papers), Complexity and Algorithms in Graphs (34 papers), Privacy-Preserving Technologies in Data (20 papers), Cryptographic Implementations and Security (15 papers), Chaos-based Image/Signal Encryption (7 papers), Internet Traffic Analysis and Secure E-voting (7 papers), Cloud Data Security Solutions (5 papers) and Blockchain Technology Applications and Security (4 papers). The work is most often cited by research in Artificial Intelligence (2.3k citations), Computational Theory and Mathematics (985 citations), Information Systems (551 citations), Computer Vision and Pattern Recognition (301 citations) and Computer Networks and Communications (262 citations). Elette Boyle has collaborated with scholars based in Israel, United States and France. Frequent co-authors include Yuval Ishai, Niv Gilboa, Shafi Goldwasser, Geoffroy Couteau, Rafael Pass, Ioana Ivan, Lisa Kohl, Peter Schöll, Kai-Min Chung and Gil Segev. Their work appears in journals such as Lecture notes in computer science, Journal of Cryptology, Distributed Computing, Social Choice and Welfare and HAL (Le Centre pour la Communication Scientifique Directe).

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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