Ethan Heilman

1.7k citations
9 papers · 667 · 1 hit paper · h-index 6

Impact in

Papers in

Ethan Heilman

9 papers receiving 614 citations

Hit Papers

Eclipse attacks on Bitcoin's peer-to-peer network 2015 · 269 citations
2690+3+7Years since publication50100150200250

Peers

Ethan Heilman
Comparison fields: 5 of 38
  • Information Systems 555
  • Computer Networks and Communications 302
  • Artificial Intelligence 324
  • Management Information Systems 38
  • Hardware and Architecture 23
Replace Harry Kalodner with:
Harry Kalodner United States
Dmitry Khovratovich Luxembourg
Wim De Pauw United States
Harold Lim United States
Giulio Malavolta Germany
Eddy Truyen Belgium
Babak Esfandiari Canada
Ali Mamat Malaysia
Vatche Ishakian United States
Ioan Toma Austria
Ethan Heilman relative to Harry Kalodner United States Harry Kalodner's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ethan Heilman

Since Specialization
Citations

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

Fields of papers citing papers by Ethan Heilman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Ethan Heilman, 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 Ethan Heilman Line = papers co-authored together Ethan Heilman links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1
Eclipse attacks on Bitcoin's peer-to-peer network
Hit paper breakdown →
2015269
2 2018146
3 2017136
4 201351
5 201434
6 202022
7 20144
8 20183
9 20202

About Ethan Heilman

Ethan Heilman is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Hardware and Architecture and Computer Vision and Pattern Recognition, having authored 9 papers that have together received 667 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (4 papers), Internet Traffic Analysis and Secure E-voting (4 papers), Blockchain Technology Applications and Security (4 papers), Network Packet Processing and Optimization (3 papers), Coding theory and cryptography (2 papers), Mining Techniques and Economics (1 paper), Cryptography and Data Security (1 paper) and Cybercrime and Law Enforcement Studies (1 paper). The work is most often cited by research in Information Systems (555 citations), Computer Networks and Communications (302 citations), Artificial Intelligence (324 citations), Management Information Systems (38 citations) and Hardware and Architecture (23 citations). Ethan Heilman has collaborated with scholars based in United States and Israel. Frequent co-authors include Sharon Goldberg, Aviv Zohar, Alessandra Scafuro, Foteini Baldimtsi, Leonid Reyzin, Kyle Soska, Jason Hennessey, Kevin Lee, Malte Möser and Andrew Miller. Their work appears in journals such as IACR Transactions on Symmetric Cryptology, ACM SIGCOMM Computer Communication Review, Communications of the ACM, SHILAP Revista de lepidopterología and OpenBU/Boston University Institutional Repository (Boston University).

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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