Darius Šidlauskas

412 total citations
14 papers, 272 citations indexed

About

Darius Šidlauskas is a scholar working on Signal Processing, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Darius Šidlauskas has authored 14 papers receiving a total of 272 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Signal Processing, 6 papers in Computer Networks and Communications and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Darius Šidlauskas's work include Data Management and Algorithms (12 papers), Advanced Database Systems and Queries (5 papers) and Graph Theory and Algorithms (3 papers). Darius Šidlauskas is often cited by papers focused on Data Management and Algorithms (12 papers), Advanced Database Systems and Queries (5 papers) and Graph Theory and Algorithms (3 papers). Darius Šidlauskas collaborates with scholars based in Denmark, Switzerland and United Kingdom. Darius Šidlauskas's co-authors include Christian S. Jensen, Simonas Šaltenis, Sean Chester, Ira Assent, Anastasia Ailamaki, Thomas Heinis, Farhan Tauheed, Stefan Axelsson, Robert Feldt and Dejan Baca and has published in prestigious journals such as Proceedings of the VLDB Endowment, The VLDB Journal and Infoscience (Ecole Polytechnique Fédérale de Lausanne).

In The Last Decade

Darius Šidlauskas

14 papers receiving 264 citations

Peers

Darius Šidlauskas
Ahmed R. Mahmood United States
Ahmed M. Aly United States
Manli Zhu Singapore
Sukho Lee South Korea
Ramaswamy Hariharan United States
Peter Kunath Germany
Moustafa A. Hammad United States
Ahmed R. Mahmood United States
Darius Šidlauskas
Citations per year, relative to Darius Šidlauskas Darius Šidlauskas (= 1×) peers Ahmed R. Mahmood

Countries citing papers authored by Darius Šidlauskas

Since Specialization
Citations

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

Fields of papers citing papers by Darius Šidlauskas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Darius Šidlauskas

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

All Works

14 of 14 papers shown
1.
Šidlauskas, Darius, et al.. (2019). Efficient Bundled Spatial Range Queries. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 139–148. 8 indexed citations
2.
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
3.
Šidlauskas, Darius, et al.. (2018). QUASII: QUery-Aware Spatial Incremental Index. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 7 indexed citations
4.
Chester, Sean, et al.. (2017). Template Skycube Algorithms for Heterogeneous Parallelism on Multicore and GPU Architectures. 447–462. 7 indexed citations
5.
Šidlauskas, Darius, et al.. (2016). Space odyssey. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 12–18. 6 indexed citations
6.
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
7.
Šidlauskas, Darius & Christian S. Jensen. (2014). Spatial joins in main memory. Proceedings of the VLDB Endowment. 8(1). 97–100. 21 indexed citations
8.
Šidlauskas, Darius, Simonas Šaltenis, & Christian S. Jensen. (2014). Processing of extreme moving-object update and query workloads in main memory. The VLDB Journal. 23(5). 817–841. 15 indexed citations
9.
Šidlauskas, Darius, et al.. (2014). Scalable top-k spatio-temporal term querying. VBN Forskningsportal (Aalborg Universitet). 148–159. 56 indexed citations
10.
Chester, Sean, et al.. (2014). Hashcube. 1767–1770. 7 indexed citations
11.
Šidlauskas, Darius, Simonas Šaltenis, & Christian S. Jensen. (2012). Parallel main-memory indexing for moving-object query and update workloads. VBN Forskningsportal (Aalborg Universitet). 37–48. 38 indexed citations
12.
Šidlauskas, Darius, Christian S. Jensen, & Simonas Šaltenis. (2012). A comparison of the use of virtual versus physical snapshots for supporting update-intensive workloads. VBN Forskningsportal (Aalborg Universitet). 1–8. 6 indexed citations
13.
Axelsson, Stefan, et al.. (2009). Detecting Defects with an Interactive Code Review Tool Based on Visualisation and Machine Learning. KTH Publication Database DiVA (KTH Royal Institute of Technology). 412–417. 4 indexed citations
14.
Šidlauskas, Darius, et al.. (2009). Trees or grids?. VBN Forskningsportal (Aalborg Universitet). 236–245. 55 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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