Brian LaMacchia

1.8k total citations
14 papers, 341 citations indexed

About

Brian LaMacchia is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Brian LaMacchia has authored 14 papers receiving a total of 341 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Information Systems, 7 papers in Artificial Intelligence and 4 papers in Computer Networks and Communications. Recurrent topics in Brian LaMacchia's work include Peer-to-Peer Network Technologies (3 papers), Access Control and Trust (3 papers) and Cryptography and Residue Arithmetic (3 papers). Brian LaMacchia is often cited by papers focused on Peer-to-Peer Network Technologies (3 papers), Access Control and Trust (3 papers) and Cryptography and Residue Arithmetic (3 papers). Brian LaMacchia collaborates with scholars based in United States, Germany and United Kingdom. Brian LaMacchia's co-authors include Lorrie Faith Cranor, Andrew Odlyzko, Antoine Joux, M.J. Coster, Claus-Peter Schnorr, Jacques Stern, Joan Feigenbaum, Martin J. Strauss, Paul Resnick and Gerald Jay Sussman and has published in prestigious journals such as Communications of the ACM, World Wide Web and Designs Codes and Cryptography.

In The Last Decade

Brian LaMacchia

12 papers receiving 295 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brian LaMacchia United States 7 238 176 81 51 45 14 341
Byoungcheon Lee South Korea 12 281 1.2× 132 0.8× 138 1.7× 51 1.0× 32 0.7× 25 391
Ramasuri Narayanam India 9 155 0.7× 100 0.6× 75 0.9× 55 1.1× 31 0.7× 30 499
David M. Kristol United States 9 152 0.6× 112 0.6× 145 1.8× 77 1.5× 41 0.9× 13 353
Ren-Junn Hwang Taiwan 11 264 1.1× 163 0.9× 136 1.7× 42 0.8× 32 0.7× 35 461
Ali Mamat Malaysia 11 184 0.8× 268 1.5× 197 2.4× 29 0.6× 34 0.8× 72 487
Ricardo Corin Netherlands 14 277 1.2× 250 1.4× 270 3.3× 87 1.7× 73 1.6× 30 434
Dmitry Pavlov United States 11 250 1.1× 254 1.4× 55 0.7× 56 1.1× 20 0.4× 16 487
Byron J. Gao United States 12 284 1.2× 198 1.1× 96 1.2× 14 0.3× 32 0.7× 46 479
Silviu Maniu France 10 185 0.8× 68 0.4× 68 0.8× 36 0.7× 19 0.4× 20 335
Sarah Chasins United States 11 90 0.4× 122 0.7× 47 0.6× 37 0.7× 16 0.4× 28 316

Countries citing papers authored by Brian LaMacchia

Since Specialization
Citations

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

Fields of papers citing papers by Brian LaMacchia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian LaMacchia

This figure shows the co-authorship network connecting the top 25 collaborators of Brian LaMacchia. A scholar is included among the top collaborators of Brian LaMacchia 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 Brian LaMacchia. Brian LaMacchia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
LaMacchia, Brian. (2021). The long road ahead to transition to post-quantum cryptography. Communications of the ACM. 65(1). 28–30. 4 indexed citations
2.
Humphrey, Marty, et al.. (2007). Fine-grained access control for GridFTP using SecPAL. 217–225. 4 indexed citations
3.
LaMacchia, Brian & John Manferdelli. (2006). New Vistas in elliptic curve cryptography. Information Security Technical Report. 11(4). 186–192. 4 indexed citations
4.
LaMacchia, Brian, et al.. (2003). Encouraging recognition of fair uses in DRM systems. Communications of the ACM. 46(4). 61–63. 11 indexed citations
5.
LaMacchia, Brian. (2002). Key Challenges in DRM: An Industry Perspective. 1 indexed citations
6.
LaMacchia, Brian, et al.. (2002). "Cooperative security": a model for the new enterprise. 314–319. 15 indexed citations
7.
Cranor, Lorrie Faith & Brian LaMacchia. (1998). Spam!. Communications of the ACM. 41(8). 74–83. 127 indexed citations
8.
Lipp, Peter, et al.. (1997). DSig 1.0 signature labels: using PICS 1.1 labels for digital signatures. World Wide Web. 2(3). 29–48. 1 indexed citations
9.
LaMacchia, Brian. (1997). The Internet Fish Construction Kit. Computer Networks and ISDN Systems. 29(8-13). 1237–1248. 7 indexed citations
10.
Feigenbaum, Joan, et al.. (1997). REFEREE: trust management for Web applications. World Wide Web. 29(8-13). 953–964. 25 indexed citations
11.
LaMacchia, Brian & Gerald Jay Sussman. (1996). Internet Fish. 6 indexed citations
12.
Coster, M.J., Antoine Joux, Brian LaMacchia, et al.. (1992). Improved low-density subset sum algorithms. Computational Complexity. 2(2). 111–128. 97 indexed citations
13.
LaMacchia, Brian & Andrew Odlyzko. (1991). Computation of discrete logarithms in prime fields. Designs Codes and Cryptography. 1(1). 47–62. 37 indexed citations
14.
LaMacchia, Brian & Andrew Odlyzko. (1990). Computation of Discrete Logarithms in Prime Fields (Extended Abstract). 616–618. 2 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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