Sven Schuierer

3.7k total citations
36 papers, 683 citations indexed

About

Sven Schuierer is a scholar working on Computer Networks and Communications, Molecular Biology and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Sven Schuierer has authored 36 papers receiving a total of 683 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Networks and Communications, 12 papers in Molecular Biology and 9 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Sven Schuierer's work include Optimization and Search Problems (12 papers), Computational Geometry and Mesh Generation (9 papers) and Robotics and Sensor-Based Localization (5 papers). Sven Schuierer is often cited by papers focused on Optimization and Search Problems (12 papers), Computational Geometry and Mesh Generation (9 papers) and Robotics and Sensor-Based Localization (5 papers). Sven Schuierer collaborates with scholars based in Switzerland, Germany and United States. Sven Schuierer's co-authors include Guglielmo Roma, Walter Carbone, Alejandro López-Ortíz, Judith Knehr, Anita Fernandez, Virginie Petitjean, Marc Sultan, Dominic Hoepfner, Stephen B. Helliwell and Ralph Riedl and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Nature Biotechnology.

In The Last Decade

Sven Schuierer

32 papers receiving 665 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sven Schuierer Switzerland 14 366 92 88 81 62 36 683
Niko Välimäki Finland 17 472 1.3× 59 0.6× 84 1.0× 32 0.4× 49 0.8× 33 921
Yanli Zou China 18 382 1.0× 74 0.8× 142 1.6× 179 2.2× 56 0.9× 83 1.3k
Yiming Lu China 17 400 1.1× 40 0.4× 50 0.6× 76 0.9× 86 1.4× 54 965
Ming Yang China 16 266 0.7× 55 0.6× 46 0.5× 69 0.9× 62 1.0× 106 784
Mohamed Abouelhoda Saudi Arabia 20 822 2.2× 98 1.1× 93 1.1× 99 1.2× 68 1.1× 72 1.6k
Niko Popitsch Austria 20 560 1.5× 187 2.0× 60 0.7× 66 0.8× 111 1.8× 46 1.2k
Chenzi Zhang China 15 289 0.8× 93 1.0× 56 0.6× 119 1.5× 56 0.9× 29 673
Vicente Arnau Spain 12 564 1.5× 82 0.9× 78 0.9× 22 0.3× 61 1.0× 37 1.0k
Xiaoying Lei China 16 203 0.6× 56 0.6× 117 1.3× 74 0.9× 20 0.3× 60 714

Countries citing papers authored by Sven Schuierer

Since Specialization
Citations

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

Fields of papers citing papers by Sven Schuierer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sven Schuierer

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

All Works

20 of 20 papers shown
1.
Hahaut, Vincent, Dinko Pavlinić, Walter Carbone, et al.. (2022). Fast and highly sensitive full-length single-cell RNA sequencing using FLASH-seq. Nature Biotechnology. 40(10). 1447–1451. 53 indexed citations
2.
Fu, Yue, David Estoppey, Silvio Roggo, et al.. (2020). Jawsamycin exhibits in vivo antifungal properties by inhibiting Spt14/Gpi3-mediated biosynthesis of glycosylphosphatidylinositol. Nature Communications. 11(1). 3387–3387. 32 indexed citations
3.
Pfeifer, Martin, Christian N. Parker, Sven Schuierer, et al.. (2017). Two low complexity ultra-high throughput methods to identify diverse chemically bioactive molecules using Saccharomyces cerevisiae. Microbiological Research. 199. 10–18. 6 indexed citations
4.
Schuierer, Sven, Walter Carbone, Judith Knehr, et al.. (2017). A comprehensive assessment of RNA-seq protocols for degraded and low-quantity samples. BMC Genomics. 18(1). 442–442. 94 indexed citations
5.
Wel, Annemarie Voorberg-van der, Guglielmo Roma, Devendra Gupta, et al.. (2017). A comparative transcriptomic analysis of replicating and dormant liver stages of the relapsing malaria parasite Plasmodium cynomolgi. eLife. 6. 49 indexed citations
6.
Schuierer, Sven & Guglielmo Roma. (2016). The exon quantification pipeline (EQP): a comprehensive approach to the quantification of gene, exon and junction expression from RNA-seq data. Nucleic Acids Research. 44(16). e132–e132. 19 indexed citations
7.
Kießling, Michael K., Sven Schuierer, Silke Stertz, et al.. (2016). Identification of oncogenic driver mutations by genome-wide CRISPR-Cas9 dropout screening. BMC Genomics. 17(1). 723–723. 31 indexed citations
8.
Pries, Verena, Simona Cotesta, Ralph Riedl, et al.. (2015). Advantages and Challenges of Phenotypic Screens: The Identification of Two Novel Antifungal Geranylgeranyltransferase I Inhibitors. SLAS DISCOVERY. 21(3). 306–315. 9 indexed citations
9.
Richie, Daryl L., Katherine V. Thompson, Christian Studer, et al.. (2013). Identification and Evaluation of Novel Acetolactate Synthase Inhibitors as Antifungal Agents. Antimicrobial Agents and Chemotherapy. 57(5). 2272–2280. 35 indexed citations
10.
Icking, Christian, et al.. (2004). An Optimal Competitive Strategy for Walking in Streets. SIAM Journal on Computing. 33(2). 462–486. 6 indexed citations
11.
López-Ortíz, Alejandro & Sven Schuierer. (2003). Searching and on-line recognition of star-shaped polygons. Information and Computation. 185(1). 66–88. 2 indexed citations
12.
Hammar, Mikael, Bengt J. Nilsson, & Sven Schuierer. (2002). Improved exploration of rectilinear polygons. Nordic journal of computing. 9(1). 32–53. 5 indexed citations
13.
López-Ortíz, Alejandro & Sven Schuierer. (2001). The ultimate strategy to search on m rays?. Theoretical Computer Science. 261(2). 267–295. 24 indexed citations
14.
Fleischer, Rudolf, et al.. (2001). Optimal Robot Localization in Trees. Information and Computation. 171(2). 224–247. 4 indexed citations
15.
López-Ortíz, Alejandro & Sven Schuierer. (2001). LOWER BOUNDS FOR STREETS AND GENERALIZED STREETS. International Journal of Computational Geometry & Applications. 11(4). 401–421. 1 indexed citations
16.
Schuierer, Sven. (2001). Lower bounds in on-line geometric searching. Computational Geometry. 18(1). 37–53. 2 indexed citations
17.
Schuierer, Sven & Derick Wood. (1999). Multiple-guard kernels of simple polygons. Journal of Geometry. 66(1-2). 161–186. 3 indexed citations
18.
Nilsson, Bengt J. & Sven Schuierer. (1996). An optimal algorithm for the rectilinear link center of a rectilinear polygon. Computational Geometry. 6(3). 169–194. 6 indexed citations
19.
Schuierer, Sven & D. Wood. (1995). Staircase visibility and computation of kernels. Algorithmica. 14(1). 1–26.
20.
Schuierer, Sven & Derick Wood. (1993). Generalized Kernels of Polygons with Holes.. Canadian Conference on Computational Geometry. 222–227.

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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