Sven Laur

3.6k total citations · 1 hit paper
27 papers, 1.1k citations indexed

About

Sven Laur is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Sven Laur has authored 27 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 4 papers in Molecular Biology and 4 papers in Information Systems. Recurrent topics in Sven Laur's work include Cryptography and Data Security (10 papers), Topic Modeling (5 papers) and Natural Language Processing Techniques (5 papers). Sven Laur is often cited by papers focused on Cryptography and Data Security (10 papers), Topic Modeling (5 papers) and Natural Language Processing Techniques (5 papers). Sven Laur collaborates with scholars based in Estonia, Netherlands and Finland. Sven Laur's co-authors include Jaak Vilo, Raivo Kolde, Priit Adler, Helger Lipmaa, Dan Bogdanov, Liina Kamm, Taneli Mielikäinen, Sylvain Pasini, Kaie Lokk and Kaspar Märtens and has published in prestigious journals such as Bioinformatics, PLoS ONE and BMC Genomics.

In The Last Decade

Sven Laur

24 papers receiving 1.1k 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.

Robust rank aggregation for gene list integration and meta-analysis

2012 732 citations Raivo Kolde, Sven Laur et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sven Laur Estonia	11	509	310	246	144	83	27	1.1k
Liat Ein‐Dor Israel	11	1.1k 2.2×	268 0.9×	307 1.2×	85 0.6×	41 0.5×	29	1.6k
Stijn Meganck Belgium	10	596 1.2×	317 1.0×	118 0.5×	90 0.6×	36 0.4×	25	1.1k
Cosmin Lazar Belgium	10	1.0k 2.0×	277 0.9×	133 0.5×	107 0.7×	32 0.4×	21	1.6k
Yunpeng Zhang United States	13	587 1.2×	122 0.4×	170 0.7×	140 1.0×	109 1.3×	51	1.0k
Ioannis Kavakiotis Greece	11	848 1.7×	475 1.5×	637 2.6×	67 0.5×	101 1.2×	23	1.9k
Huiqing Liu China	14	1.1k 2.2×	174 0.6×	223 0.9×	53 0.4×	81 1.0×	29	1.5k
Jonatan Taminau Belgium	8	673 1.3×	268 0.9×	118 0.5×	90 0.6×	31 0.4×	14	1.1k
David Steenhoff Belgium	5	557 1.1×	263 0.8×	115 0.5×	89 0.6×	29 0.3×	8	928
Robin Duqué Belgium	5	557 1.1×	263 0.8×	115 0.5×	89 0.6×	29 0.3×	8	928

Countries citing papers authored by Sven Laur

Since Specialization

Citations

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

Fields of papers citing papers by Sven Laur

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sven Laur

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

All Works

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20 of 20 papers shown

1.

Krebs, Kristi, Natàlia Pujol‐Gualdo, Toomas Haller, et al.. (2024). Uncovering the shared genetic components of thyroid disorders and reproductive health. European Journal of Endocrinology. 191(2). 211–222.

2.

Oja, Marek, Kerli Mooses, Raivo Kolde, et al.. (2024). Repeatable process for extracting health data from HL7 CDA documents. Journal of Biomedical Informatics. 161. 104765–104765. 1 indexed citations

3.

Laur, Sven, et al.. (2023). Information Extraction from Medical Texts with BERT Using Human-in-the-Loop Labeling. Studies in health technology and informatics. 302. 831–832.

4.

Oja, Marek, Kerli Mooses, Jaak Vilo, et al.. (2023). Transforming Estonian health data to the Observational Medical Outcomes Partnership (OMOP) Common Data Model: lessons learned. JAMIA Open. 6(4). ooad100–ooad100. 15 indexed citations

5.

Reigo, Anu, Sven Laur, Ardi Tampuu, et al.. (2023). Common clinical blood and urine biomarkers for ischemic stroke: an Estonian Electronic Health Records database study. European journal of medical research. 28(1). 133–133. 3 indexed citations

6.

Künnapuu, Kadri, Raivo Kolde, Sven Laur, et al.. (2022). Trajectories: a framework for detecting temporal clinical event sequences from health data standardized to the Observational Medical Outcomes Partnership (OMOP) Common Data Model. JAMIA Open. 5(1). ooac021–ooac021. 6 indexed citations

7.

Laur, Sven, et al.. (2021). Implementing Privacy-Preserving Genotype Analysis with Consideration for Population Stratification. Cryptography. 5(3). 21–21. 8 indexed citations

8.

Laur, Sven, et al.. (2021). Foundations of Programmable Secure Computation. Cryptography. 5(3). 22–22. 3 indexed citations

9.

Laur, Sven, et al.. (2020). EstNLTK 1.6: Remastered Estonian NLP Pipeline.. Language Resources and Evaluation. 7152–7160. 3 indexed citations

10.

Laur, Sven, et al.. (2016). EstNLTK - NLP Toolkit for Estonian. Language Resources and Evaluation. 2460–2466. 11 indexed citations

11.

Bogdanov, Dan, et al.. (2014). From Input Private to Universally Composable Secure Multi-party Computation Primitives. 184–198. 10 indexed citations

12.

Laur, Sven, et al.. (2013). Named Entity Recognition in Estonian. Meeting of the Association for Computational Linguistics. 78–83. 8 indexed citations

13.

Tretyakov, Konstantin, Sven Laur, Geert Smant, Jaak Vilo, & Pjotr Prins. (2013). Fast probabilistic file fingerprinting for big data. BMC Genomics. 14(S2). S8–S8. 15 indexed citations

14.

Tretyakov, Konstantin, Sven Laur, & Jaak Vilo. (2011). G = MAT: Linking Transcription Factor Expression and DNA Binding Data. PLoS ONE. 6(1). e14559–e14559. 1 indexed citations

15.

Bogdanov, Dan, et al.. (2010). Privacy-preserving Histogram Computation and Frequent Itemset Mining with Sharemind. 1 indexed citations

16.

Laur, Sven & Sylvain Pasini. (2009). User-aided data authentication. International Journal of Security and Networks. 4(1/2). 69–69. 19 indexed citations

17.

Laur, Sven & Helger Lipmaa. (2006). Consistent Adaptive Two-Party Computations. UCL Discovery (University College London). 1 indexed citations

18.

Laur, Sven, Helger Lipmaa, & Taneli Mielikäinen. (2006). Cryptographically private support vector machines. 618–624. 93 indexed citations

19.

Laur, Sven & Helger Lipmaa. (2005). Additive Conditional Disclosure of Secrets And Applications. UCL Discovery (University College London). 9 indexed citations

20.

Laur, Sven. (2004). Additive Conditional Disclosure of Secrets. 1 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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