Sean Chester

579 total citations
29 papers, 337 citations indexed

About

Sean Chester is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sean Chester has authored 29 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Signal Processing, 11 papers in Artificial Intelligence and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Sean Chester's work include Data Management and Algorithms (16 papers), Privacy, Security, and Data Protection (5 papers) and Privacy-Preserving Technologies in Data (5 papers). Sean Chester is often cited by papers focused on Data Management and Algorithms (16 papers), Privacy, Security, and Data Protection (5 papers) and Privacy-Preserving Technologies in Data (5 papers). Sean Chester collaborates with scholars based in Canada, Denmark and Norway. Sean Chester's co-authors include Gautam Srivastava, Venkatesh Srinivasan, Ira Assent, Alex Thomo, Bruce M. Kapron, Darius Šidlauskas, Sue Whitesides, Leon Derczynski, Ulrike Stege and Svetha Venkatesh and has published in prestigious journals such as BMC Bioinformatics, Proceedings of the VLDB Endowment and The VLDB Journal.

In The Last Decade

Sean Chester

28 papers receiving 326 citations

Peers

Sean Chester

AI

SP

SPS

CNC

CVPR

Kaiyu Feng Singapore

Zhenying He China

Ali Khoshgozaran United States

Tolga Bozkaya United States

David Fuhry United States

F. Cuppens France

D. Donjerkovic United States

Donghua Yang China

Bijit Hore United States

Wolfgang Käfer Germany

Kaiyu Feng Singapore

Sean Chester

90 ×0.5

AI

125 ×0.9

SP

20 ×0.2

SPS

75 ×0.8

CNC

56 ×1.1

CVPR

Citations per year, relative to Sean Chester Sean Chester (= 1×) peers Kaiyu Feng

Countries citing papers authored by Sean Chester

Since Specialization

Citations

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

Fields of papers citing papers by Sean Chester

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sean Chester

This figure shows the co-authorship network connecting the top 25 collaborators of Sean Chester. A scholar is included among the top collaborators of Sean Chester 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 Sean Chester. Sean Chester 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.

Chester, Sean, et al.. (2022). KnotAli: informed energy minimization through the use of evolutionary information. BMC Bioinformatics. 23(1). 159–159. 4 indexed citations

2.

Chester, Sean, et al.. (2022). Vectorising k-Truss Decomposition for Simple Multi-Core and SIMD Acceleration. 7. 1–6.

3.

Dam, Thu-Lan, Sean Chester, Kjetil Nørvåg, & Quang-Huy Duong. (2020). Efficient top-k recently-frequent term querying over spatio-temporal textual streams. Information Systems. 97. 101687–101687. 6 indexed citations

4.

Chester, Sean, et al.. (2020). Vectorising k-Core Decomposition for GPU Acceleration. 1–4. 9 indexed citations

5.

Chester, Sean, et al.. (2020). Diversifying Top-k Point-of-Interest Queries via Collective Social Reach. 2149–2152. 5 indexed citations

6.

Šidlauskas, Darius, et al.. (2018). Improving Spatial Data Processing by Clipping Minimum Bounding Boxes. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 425–436. 16 indexed citations

7.

Chester, Sean, et al.. (2017). Template Skycube Algorithms for Heterogeneous Parallelism on Multicore and GPU Architectures. 447–462. 7 indexed citations

8.

Chester, Sean, et al.. (2016). SkyAlign: a portable, work-efficient skyline algorithm for multicore and GPU architectures. The VLDB Journal. 25(6). 817–841. 14 indexed citations

9.

Chen, Cheng, Sean Chester, Venkatesh Srinivasan, Kui Wu, & Alex Thomo. (2016). Group-Aware Weighted Bipartite B-Matching. 459–468. 4 indexed citations

10.

Derczynski, Leon, et al.. (2015). Tune Your Brown Clustering, Please. White Rose Research Online (University of Leeds, The University of Sheffield, University of York). 110–117. 10 indexed citations

11.

Chester, Sean, et al.. (2015). Work-efficient parallel skyline computation for the GPU. Proceedings of the VLDB Endowment. 8(9). 962–973. 18 indexed citations

12.

Chester, Sean & Leon Derczynski. (2015). generalised-brown: Source code for AAAI 2016 paper. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations

13.

Chester, Sean, et al.. (2015). Efficient caching for constrained skyline queries. Movebank. 4 indexed citations

14.

Chester, Sean, et al.. (2015). Scalable parallelization of skyline computation for multi-core processors. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1083–1094. 26 indexed citations

15.

Chester, Sean, et al.. (2014). On the Suitability of Skyline Queries for Data Exploration. EDBT/ICDT Workshops. 161–166. 6 indexed citations

16.

Chester, Sean, et al.. (2012). Why Waldo befriended the dummy? k-Anonymization of social networks with pseudo-nodes. Social Network Analysis and Mining. 3(3). 381–399. 32 indexed citations

17.

Chester, Sean, et al.. (2011). k-Anonymization of Social Networks by Vertex Addition.. 107–116. 31 indexed citations

18.

Chester, Sean, et al.. (2011). On supporting dynamic web service selection with histogramming. 2. 1–8. 1 indexed citations

19.

Chester, Sean & Gautam Srivastava. (2011). Social Network Privacy for Attribute Disclosure Attacks. 445–449. 26 indexed citations

20.

Chester, Sean, et al.. (2009). Scalable APRIORI-Based Frequent Pattern Discovery. 126. 48–55. 3 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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