Ehud Aharoni

930 total citations
20 papers, 526 citations indexed

About

Ehud Aharoni is a scholar working on Artificial Intelligence, Statistics and Probability and Management Science and Operations Research. According to data from OpenAlex, Ehud Aharoni has authored 20 papers receiving a total of 526 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 6 papers in Statistics and Probability and 4 papers in Management Science and Operations Research. Recurrent topics in Ehud Aharoni's work include Topic Modeling (5 papers), Statistical Methods in Clinical Trials (5 papers) and Statistical Methods and Bayesian Inference (3 papers). Ehud Aharoni is often cited by papers focused on Topic Modeling (5 papers), Statistical Methods in Clinical Trials (5 papers) and Statistical Methods and Bayesian Inference (3 papers). Ehud Aharoni collaborates with scholars based in Israel, United States and Germany. Ehud Aharoni's co-authors include Noam Slonim, Ran Levy, Daniel Hershcovich, Ruty Rinott, Mitesh M. Khapra, Yonatan Bilu, Lena Dankin, Saharon Rosset, André Altmann and Dan Gutfreund and has published in prestigious journals such as Bioinformatics, PLoS ONE and Journal of the Royal Statistical Society Series B (Statistical Methodology).

In The Last Decade

Ehud Aharoni

20 papers receiving 462 citations

Peers

Ehud Aharoni
Ehud Aharoni
Citations per year, relative to Ehud Aharoni Ehud Aharoni (= 1×) peers Lopamudra Dey

Countries citing papers authored by Ehud Aharoni

Since Specialization
Citations

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

Fields of papers citing papers by Ehud Aharoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ehud Aharoni

This figure shows the co-authorship network connecting the top 25 collaborators of Ehud Aharoni. A scholar is included among the top collaborators of Ehud Aharoni 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 Ehud Aharoni. Ehud Aharoni 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.
Aharoni, Ehud, et al.. (2023). HeLayers: A Tile Tensors Framework for Large Neural Networks on Encrypted Data. Proceedings on Privacy Enhancing Technologies. 2023(1). 325–342. 12 indexed citations
2.
Aharoni, Ehud, et al.. (2023). Poster: Efficient AES-GCM Decryption Under Homomorphic Encryption. 3567–3569. 1 indexed citations
3.
Rosset, Saharon, et al.. (2022). Optimal and Maximin Procedures for Multiple Testing Problems. Journal of the Royal Statistical Society Series B (Statistical Methodology). 84(4). 1105–1128. 3 indexed citations
4.
Aharoni, Ehud, et al.. (2022). Complex Encoded Tile Tensors: Accelerating Encrypted Analytics. IEEE Security & Privacy. 20(5). 35–43. 8 indexed citations
5.
Rosset, Saharon, et al.. (2018). Optimal Procedures for Multiple Testing Problems. arXiv (Cornell University). 2 indexed citations
6.
Adir, Allon, et al.. (2017). Big data analysis of cloud storage logs using spark. 1–1. 1 indexed citations
7.
Roitman, Haggai, Shay Hummel, Ella Rabinovich, et al.. (2016). On the Retrieval of Wikipedia Articles Containing Claims on Controversial Topics. 991–996. 13 indexed citations
8.
Aharoni, Ehud, et al.. (2016). Identifying malicious activities from system execution traces. IBM Journal of Research and Development. 60(4). 5:1–5:7. 5 indexed citations
9.
Rinott, Ruty, et al.. (2015). Show Me Your Evidence - an Automatic Method for Context Dependent Evidence Detection. 440–450. 119 indexed citations
10.
Levy, Ran, Yonatan Bilu, Daniel Hershcovich, Ehud Aharoni, & Noam Slonim. (2014). Context Dependent Claim Detection. International Conference on Computational Linguistics. 1489–1500. 100 indexed citations
11.
Slonim, Noam, Ehud Aharoni, Carlos Alzate, et al.. (2014). Claims on demand -- an initial demonstration of a system for automatic detection and polarity identification of context dependent claims in massive corpora. International Conference on Computational Linguistics. 6–9. 4 indexed citations
12.
Aharoni, Ehud, Tamar Lavee, Daniel Hershcovich, et al.. (2014). A Benchmark Dataset for Automatic Detection of Claims and Evidence in the Context of Controversial Topics. 64–68. 77 indexed citations
13.
Rosset, Saharon, Ehud Aharoni, & Hani Neuvirth. (2014). Novel Statistical Tools for Management of Public Databases Facilitate Community-Wide Replicability and Control of False Discovery. Genetic Epidemiology. 38(5). 477–481. 2 indexed citations
14.
Slonim, Noam, Ehud Aharoni, & Koby Crammer. (2013). Hartigan's K-means versus Lloyd's K-means: is it time for a change?. International Joint Conference on Artificial Intelligence. 1677–1684. 17 indexed citations
15.
Aharoni, Ehud & Saharon Rosset. (2013). Generalized α-investing: Definitions, Optimality Results and Application to Public Databases. Journal of the Royal Statistical Society Series B (Statistical Methodology). 76(4). 771–794. 24 indexed citations
16.
Aharoni, Ehud, Shai Fine, Yaara Goldschmidt, et al.. (2011). Smarter log analysis. IBM Journal of Research and Development. 55(5). 10:1–10:10. 6 indexed citations
17.
Aharoni, Ehud, Hani Neuvirth, & Saharon Rosset. (2010). The Quality Preserving Database: A Computational Framework for Encouraging Collaboration, Enhancing Power and Controlling False Discovery. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 8(5). 1431–1437. 5 indexed citations
18.
Altmann, André, Michal Rosen‐Zvi, Mattia Prosperi, et al.. (2008). Comparison of Classifier Fusion Methods for Predicting Response to Anti HIV-1 Therapy. PLoS ONE. 3(10). e3470–e3470. 40 indexed citations
19.
Rosen‐Zvi, Michal, André Altmann, Mattia Prosperi, et al.. (2008). Selecting anti-HIV therapies based on a variety of genomic and clinical factors. Bioinformatics. 24(13). i399–i406. 47 indexed citations
20.
Prosperi, Mattia, André Altmann, Michal Rosen‐Zvi, et al.. (2008). Investigation of expert rule bases, logistic regression, and non-linear machine learning techniques for predicting response to antiretroviral treatment. Antiviral Therapy. 14(3). 433–442. 40 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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