George Beskales

1.5k total citations · 1 hit paper
9 papers, 873 citations indexed

About

George Beskales is a scholar working on Management Science and Operations Research, Signal Processing and Computer Networks and Communications. According to data from OpenAlex, George Beskales has authored 9 papers receiving a total of 873 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Management Science and Operations Research, 5 papers in Signal Processing and 4 papers in Computer Networks and Communications. Recurrent topics in George Beskales's work include Data Quality and Management (6 papers), Data Management and Algorithms (5 papers) and Data Mining Algorithms and Applications (3 papers). George Beskales is often cited by papers focused on Data Quality and Management (6 papers), Data Management and Algorithms (5 papers) and Data Mining Algorithms and Applications (3 papers). George Beskales collaborates with scholars based in Canada, United States and Qatar. George Beskales's co-authors include Ihab F. Ilyas, Mohamed A. Soliman, Lukasz Golab, Shan Xu, Stanley B. Zdonik, Mitch Cherniack, Michael Stonebraker, Shai Ben-David, Maxim Gurevich and Sergei Vassilvitskii and has published in prestigious journals such as ACM Computing Surveys, Proceedings of the VLDB Endowment and The VLDB Journal.

In The Last Decade

George Beskales

9 papers receiving 823 citations

Hit Papers

A survey of top- k query processing techniques in relatio... 2008 2026 2014 2020 2008 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
George Beskales Canada 7 547 456 356 260 239 9 873
Omar Benjelloun United States 16 610 1.1× 807 1.8× 706 2.0× 546 2.1× 474 2.0× 23 1.4k
Parke Godfrey Canada 13 1.1k 1.9× 875 1.9× 374 1.1× 130 0.5× 278 1.2× 52 1.4k
Ralf Schenkel Germany 19 404 0.7× 520 1.1× 753 2.1× 165 0.6× 559 2.3× 102 1.2k
Sergio Flesca Italy 16 274 0.5× 434 1.0× 638 1.8× 79 0.3× 515 2.2× 82 1.1k
Frank Manola United States 14 419 0.8× 726 1.6× 351 1.0× 51 0.2× 282 1.2× 39 940
Giuseppe Psaila Italy 13 543 1.0× 376 0.8× 295 0.8× 57 0.2× 501 2.1× 79 923
Gösta Grahne Canada 16 675 1.2× 639 1.4× 863 2.4× 123 0.5× 803 3.4× 57 1.5k
Raghav Kaushik United States 23 1.1k 2.0× 1.1k 2.5× 1.3k 3.7× 879 3.4× 901 3.8× 60 2.3k
Daniele Braga Italy 14 337 0.6× 532 1.2× 530 1.5× 81 0.3× 336 1.4× 35 825
Angela Bonifati France 20 403 0.7× 781 1.7× 839 2.4× 263 1.0× 307 1.3× 101 1.3k

Countries citing papers authored by George Beskales

Since Specialization
Citations

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

Fields of papers citing papers by George Beskales

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of George Beskales

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

All Works

9 of 9 papers shown
1.
Beskales, George, et al.. (2013). On the relative trust between inconsistent data and inaccurate constraints. 541–552. 54 indexed citations
2.
Beskales, George, et al.. (2013). Sampling from repairs of conditional functional dependency violations. The VLDB Journal. 23(1). 103–128. 21 indexed citations
3.
Stonebraker, Michael, Ihab F. Ilyas, George Beskales, et al.. (2013). Data Curation at Scale: The Data Tamer System. 111 indexed citations
4.
Beskales, George, Marcus Fontoura, Maxim Gurevich, Sergei Vassilvitskii, & Vanja Josifovski. (2011). Factorization-based lossless compression of inverted indices. 327–332. 4 indexed citations
5.
Beskales, George, Ihab F. Ilyas, & Lukasz Golab. (2010). Sampling the repairs of functional dependency violations under hard constraints. Proceedings of the VLDB Endowment. 3(1-2). 197–207. 80 indexed citations
6.
Beskales, George, Mohamed A. Soliman, Ihab F. Ilyas, Shai Ben-David, & Yubin Kim. (2010). ProbClean: A probabilistic duplicate detection system. 1193–1196. 4 indexed citations
7.
Beskales, George, Mohamed A. Soliman, Ihab F. Ilyas, & Shai Ben-David. (2009). Modeling and querying possible repairs in duplicate detection. Proceedings of the VLDB Endowment. 2(1). 598–609. 27 indexed citations
8.
Ilyas, Ihab F., George Beskales, & Mohamed A. Soliman. (2008). A survey of top- k query processing techniques in relational database systems. ACM Computing Surveys. 40(4). 1–58. 477 indexed citations breakdown →
9.
Beskales, George, Mohamed A. Soliman, & Ihab F. Ilyas. (2008). Efficient search for the top-k probable nearest neighbors in uncertain databases. Proceedings of the VLDB Endowment. 1(1). 326–339. 95 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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