Peeter Laud

1.6k citations
48 papers · 417 · h-index 12

Impact in

Papers in

Peeter Laud

43 papers receiving 387 citations

Peers

Peeter Laud
Comparison fields: 5 of 34
  • Artificial Intelligence 367
  • Computer Networks and Communications 156
  • Information Systems 139
  • Computational Theory and Mathematics 75
  • Health Informatics 6
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Oriol Farràs Spain
Michele Bugliesi Italy
Binh Vo United States
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Citations per field
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Citations per year

Countries citing papers authored by Peeter Laud

Since Specialization
Citations

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

Fields of papers citing papers by Peeter Laud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201553
2 200445
3 200533
4 200030
5 201820
6 200820
7 200219
8 201415
9 201515
10 200614
11
New linking schemes for digital time-stamping.
199813
12 200612
13 202111
14 201511
15 201410
16 202010
17 20159
18 20216
19
Applications of secure multiparty computation
20155
20 20125

About Peeter Laud

Peeter Laud is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Computational Theory and Mathematics and Sociology and Political Science, having authored 48 papers that have together received 417 indexed citations. Recurring topics across this work include Cryptography and Data Security (32 papers), Privacy-Preserving Technologies in Data (16 papers), Complexity and Algorithms in Graphs (11 papers), Security and Verification in Computing (9 papers), Advanced Authentication Protocols Security (6 papers), Cryptographic Implementations and Security (5 papers), Access Control and Trust (4 papers) and Cryptography and Residue Arithmetic (3 papers). The work is most often cited by research in Artificial Intelligence (367 citations), Computer Networks and Communications (156 citations), Information Systems (139 citations), Computational Theory and Mathematics (75 citations) and Health Informatics (6 citations). Peeter Laud has collaborated with scholars based in Estonia, Germany and United States. Frequent co-authors include Ahto Buldas, Helger Lipmaa, Dan Bogdanov, Michael Backes, Eero Vainikko, Varmo Vene, Tarmo Uustalu, Sven Laur, Liina Kamm and Mark John. Their work appears in journals such as Journal of Computer Security, ACM SIGPLAN Notices, Theoretical Computer Science, International Journal on Software Tools for Technology Transfer and IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control.

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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