Alexandre Evfimievski

3.3k total citations · 2 hit papers
25 papers, 2.0k citations indexed

About

Alexandre Evfimievski is a scholar working on Artificial Intelligence, Information Systems and Management Science and Operations Research. According to data from OpenAlex, Alexandre Evfimievski has authored 25 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 9 papers in Information Systems and 6 papers in Management Science and Operations Research. Recurrent topics in Alexandre Evfimievski's work include Privacy-Preserving Technologies in Data (10 papers), Cryptography and Data Security (6 papers) and Imbalanced Data Classification Techniques (5 papers). Alexandre Evfimievski is often cited by papers focused on Privacy-Preserving Technologies in Data (10 papers), Cryptography and Data Security (6 papers) and Imbalanced Data Classification Techniques (5 papers). Alexandre Evfimievski collaborates with scholars based in United States, Russia and Germany. Alexandre Evfimievski's co-authors include Ramakrishnan Srikant, Johannes Gehrke, Rakesh Agrawal, Berthold Reinwald, Prithviraj Sen, Matthias Böehm, Niketan Pansare, Shirish Tatikonda, Frederick Reiss and Michael W. Dusenberry and has published in prestigious journals such as Journal of the ACM, Proceedings of the VLDB Endowment and Theoretical Computer Science.

In The Last Decade

Alexandre Evfimievski

25 papers receiving 1.8k citations

Hit Papers

Limiting privacy breaches in privacy preserving data mining 2002 2026 2010 2018 2003 2002 100 200 300 400
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.

  1. Limiting privacy breaches in privacy preserving data mining
    2003 473 citations Alexandre Evfimievski, Johannes Gehrke et al. profile →
  2. Privacy preserving mining of association rules
    2002 470 citations Alexandre Evfimievski, Ramakrishnan Srikant et al. profile →

Peers

Alexandre Evfimievski
Vibhor Rastogi United States
Dilys Thomas United States
Gerome Miklau United States
Kristen LeFevre United States
Limin Yao China
Yirong Xu United States
Stephen Chong United States
Silvio Lattanzi United States
Linhong Zhu United States
Jerry Kiernan United States
Vibhor Rastogi United States
Alexandre Evfimievski
Citations per year, relative to Alexandre Evfimievski Alexandre Evfimievski (= 1×) peers Vibhor Rastogi

Countries citing papers authored by Alexandre Evfimievski

Since Specialization
Citations

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

Fields of papers citing papers by Alexandre Evfimievski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexandre Evfimievski

This figure shows the co-authorship network connecting the top 25 collaborators of Alexandre Evfimievski. A scholar is included among the top collaborators of Alexandre Evfimievski 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 Alexandre Evfimievski. Alexandre Evfimievski 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.
Katsis, Yannis, Dakuo Wang, Alexandre Evfimievski, et al.. (2021). AutoText: An End-to-End AutoAI Framework for Text. Proceedings of the AAAI Conference on Artificial Intelligence. 35(18). 16001–16003. 3 indexed citations
2.
Burdick, Douglas, Marina Danilevsky, Alexandre Evfimievski, Yannis Katsis, & Nancy Wang. (2020). Table extraction and understanding for scientific and enterprise applications. Proceedings of the VLDB Endowment. 13(12). 3433–3436. 9 indexed citations
3.
Böehm, Matthias, Alexandre Evfimievski, & Berthold Reinwald. (2019). 4.-8. März 2019. Gesellschaft für Informatik (GI). 267–286. 1 indexed citations
4.
Böehm, Matthias, et al.. (2019). MNC. 1607–1623. 9 indexed citations
5.
Böehm, Matthias, Berthold Reinwald, David Hutchison, et al.. (2018). On optimizing operator fusion plans for large-scale machine learning in systemML. Proceedings of the VLDB Endowment. 11(12). 1755–1768. 39 indexed citations
6.
Böehm, Matthias, et al.. (2017). SPOOF: Sum-Product Optimization and Operator Fusion for Large-Scale Machine Learning.. Conference on Innovative Data Systems Research. 22 indexed citations
7.
Chen, Xilun, Laura Chiticariu, Marina Danilevsky, Alexandre Evfimievski, & Prithviraj Sen. (2017). A Rectangle Mining Method for Understanding the Semantics of Financial Tables. 268–273. 8 indexed citations
8.
Böehm, Matthias, Michael W. Dusenberry, Alexandre Evfimievski, et al.. (2016). SystemML. Proceedings of the VLDB Endowment. 9(13). 1425–1436. 115 indexed citations
9.
Böhm, Matthias, Douglas Burdick, Alexandre Evfimievski, et al.. (2014). SystemML's Optimizer: Plan Generation for Large-Scale Machine Learning Programs.. IEEE Data(base) Engineering Bulletin. 37. 52–62. 28 indexed citations
10.
Burdick, Doug, et al.. (2014). Financial Analytics from Public Data. 34. 1–6. 3 indexed citations
11.
Böehm, Matthias, Doug Burdick, Alexandre Evfimievski, et al.. (2013). Compiling machine learning algorithms with SystemML. 1–1. 2 indexed citations
12.
Evfimievski, Alexandre, Ronald Fagin, & David P. Woodruff. (2010). Epistemic privacy. Journal of the ACM. 58(1). 1–45. 3 indexed citations
13.
Evfimievski, Alexandre, Ronald Fagin, & David P. Woodruff. (2008). Epistemic privacy. 171–180. 13 indexed citations
14.
Evfimievski, Alexandre, Ramakrishnan Srikant, Rakesh Agrawal, & Johannes Gehrke. (2003). Privacy preserving mining of association rules. Information Systems. 29(4). 343–364. 115 indexed citations
15.
Agrawal, Rakesh, Alexandre Evfimievski, & Ramakrishnan Srikant. (2003). Information sharing across private databases. 86–97. 378 indexed citations
16.
Agrawal, Rakesh, Alexandre Evfimievski, & Ramakrishnan Srikant. (2003). Information sharing across private databases. 6 indexed citations
17.
Evfimievski, Alexandre. (2002). Randomization in privacy preserving data mining. ACM SIGKDD Explorations Newsletter. 4(2). 43–48. 101 indexed citations
18.
Evfimievski, Alexandre, Ramakrishnan Srikant, Rakesh Agrawal, & Johannes Gehrke. (2002). Privacy preserving mining of association rules. 149 indexed citations
19.
Evfimievski, Alexandre. (2000). A probabilistic algorithm for updating files over a communication link. Theoretical Computer Science. 233(1-2). 191–199. 5 indexed citations
20.
Evfimievski, Alexandre. (1998). A probabilistic algorithm for updating files over a communication link. Symposium on Discrete Algorithms. 300–305. 8 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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