Patrick Longa

2.2k citations
24 papers · 327 indexed · h-index 11

Impact in

Papers in

Patrick Longa

24 papers receiving 297 citations

Peers

Patrick Longa
Comparison fields: 5 of 29
  • Information Systems 214
  • Artificial Intelligence 245
  • Signal Processing 39
  • Computer Vision and Pattern Recognition 74
  • Computational Theory and Mathematics 27
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Citations per year

Countries citing papers authored by Patrick Longa

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Longa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Patrick Longa, 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 Patrick Longa Line = papers co-authored together Patrick Longa links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201555
2 200839
3 200635
4 202020
5 201819
6 201818
7 201515
8 201814
9 202014
10 202011
11
A brief discussion on selecting new elliptic curves
201511
12 201410
13 200710
14 20089
15 20209
16 20119
17 20138
18
SchnorrQ: Schnorr signatures on FourQ
20166
19 20234
20
Elliptic Curve Cryptography (ECC) Nothing Up My Sleeve (NUMS) Curves and Curve Generation
20144

About Patrick Longa

Patrick Longa is a scholar working on Information Systems, Artificial Intelligence, Computer Vision and Pattern Recognition, Geometry and Topology and Signal Processing, having authored 24 papers that have together received 327 indexed citations. Recurring topics across this work include Cryptography and Residue Arithmetic (16 papers), Coding theory and cryptography (8 papers), Cryptography and Data Security (7 papers), Cryptographic Implementations and Security (6 papers), Chaos-based Image/Signal Encryption (4 papers), Digital Filter Design and Implementation (3 papers), Algebraic Geometry and Number Theory (3 papers) and Image and Signal Denoising Methods (2 papers). The work is most often cited by research in Information Systems (214 citations), Artificial Intelligence (245 citations), Signal Processing (39 citations), Computer Vision and Pattern Recognition (74 citations) and Computational Theory and Mathematics (27 citations). Patrick Longa has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Ali Miri, Craig Costello, Michael Naehrig, Joppe W. Bos, Hwajeong Seo, Zhi Hu, Zhe Liu, Lejla Batina, Joost Renes and Miodrag Bolić. Their work appears in journals such as IACR Transactions on Cryptographic Hardware and Embedded Systems, Journal of Cryptographic Engineering, IEEE Transactions on Dependable and Secure Computing, Journal of Cryptology and Electronics Letters.

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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