Ethan Heilman

1.7k total citations · 1 hit paper
9 papers, 667 citations indexed

About

Ethan Heilman is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Ethan Heilman has authored 9 papers receiving a total of 667 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Computer Networks and Communications and 4 papers in Information Systems. Recurrent topics in Ethan Heilman's work include Blockchain Technology Applications and Security (4 papers), Internet Traffic Analysis and Secure E-voting (4 papers) and Network Security and Intrusion Detection (4 papers). Ethan Heilman is often cited by papers focused on Blockchain Technology Applications and Security (4 papers), Internet Traffic Analysis and Secure E-voting (4 papers) and Network Security and Intrusion Detection (4 papers). Ethan Heilman collaborates with scholars based in United States and Israel. Ethan Heilman's co-authors include Sharon Goldberg, Aviv Zohar, Alessandra Scafuro, Foteini Baldimtsi, Leonid Reyzin, Kevin Lee, Andrew Miller, Jason Hennessey, Kyle Soska and Kyle Hogan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Communications of the ACM and ACM SIGCOMM Computer Communication Review.

In The Last Decade

Ethan Heilman

9 papers receiving 614 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Eclipse attacks on Bitcoin's peer-to-peer network

2015 269 citations Ethan Heilman, Aviv Zohar et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Ethan Heilman United States	6	555	324	302	67	62	9	667
Dmitry Khovratovich Luxembourg	10	459 0.8×	381 1.2×	214 0.7×	180 2.7×	42 0.7×	24	690
Harry Kalodner United States	5	427 0.8×	189 0.6×	179 0.6×	24 0.4×	44 0.7×	5	500
Elli Androulaki Switzerland	6	454 0.8×	194 0.6×	216 0.7×	55 0.8×	38 0.6×	10	511
Donald Eastlake United States	6	254 0.5×	220 0.7×	258 0.9×	36 0.5×	167 2.7×	18	509
Michael Steiner Switzerland	10	374 0.7×	441 1.4×	561 1.9×	68 1.0×	35 0.6×	17	715
Jianhai Chen China	13	404 0.7×	177 0.5×	288 1.0×	45 0.7×	24 0.4×	36	545
Aysu Betin-Can Türkiye	13	331 0.6×	174 0.5×	134 0.4×	21 0.3×	37 0.6×	33	553
B. Pfitzmann Switzerland	14	225 0.4×	464 1.4×	390 1.3×	39 0.6×	66 1.1×	29	629
Ivan Pustogarov Luxembourg	6	511 0.9×	391 1.2×	281 0.9×	74 1.1×	68 1.1×	11	689
Kazuyuki Shudo Japan	13	323 0.6×	64 0.2×	405 1.3×	48 0.7×	48 0.8×	82	596

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-authorship network of co-authors of Ethan Heilman

This figure shows the co-authorship network connecting the top 25 collaborators of Ethan Heilman. A scholar is included among the top collaborators of Ethan Heilman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ethan Heilman. Ethan Heilman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

1.

Heilman, Ethan, et al.. (2020). Cryptanalysis of Curl-P and Other Attacks on the IOTA Cryptocurrency. SHILAP Revista de lepidopterología. 2 indexed citations

2.

Heilman, Ethan, et al.. (2020). Cryptanalysis of Curl-P and Other Attacks on the IOTA Cryptocurrency. IACR Transactions on Symmetric Cryptology. 367–391. 22 indexed citations

3.

Möser, Malte, Kyle Soska, Ethan Heilman, et al.. (2018). An Empirical Analysis of Traceability in the Monero Blockchain. SHILAP Revista de lepidopterología. 146 indexed citations

4.

Goldberg, Sharon & Ethan Heilman. (2018). Technical perspective: The rewards of selfish mining. Communications of the ACM. 61(7). 94–94. 3 indexed citations

5.

Heilman, Ethan, et al.. (2017). TumbleBit: An Untrusted Bitcoin-Compatible Anonymous Payment Hub. OpenBU/Boston University Institutional Repository (Boston University). 136 indexed citations

6.

Heilman, Ethan, et al.. (2015). Eclipse attacks on Bitcoin's peer-to-peer network. 129–144. 269 indexed citations breakdown →

7.

Heilman, Ethan, et al.. (2014). From the consent of the routed. 51–62. 34 indexed citations

8.

Heilman, Ethan, et al.. (2014). From the consent of the routed. ACM SIGCOMM Computer Communication Review. 44(4). 51–62. 4 indexed citations

9.

Heilman, Ethan, et al.. (2013). On the risk of misbehaving RPKI authorities. 1–7. 51 indexed citations

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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