Ehud Aharoni
- Artificial Intelligence top 5%
- Information Systems top 5%
- Virology top 10%
- Infectious Diseases
- Molecular Biology
- Co-authors
- Noam SlonimRan LevyDaniel HershcovichRuty RinottMitesh M. KhapraYonatan BiluLena DankinSaharon Rosset
- Topics
- Topic Modeling (5 papers)Statistical Methods in Clinical Trials (5 papers)Statistical Methods and Bayesian Inference (3 papers)
- Journals
- BioinformaticsPLoS ONEJournal of the Royal Statistical Society Series B (Statistical Methodology)
- Partner nations
- IsraelUnited StatesGermany
In The Last Decade
Ehud Aharoni
20 papers receiving 462 citations
Peers
Comparison fields: 5 of 78
- Artificial Intelligence 369
- Information Systems 138
- Virology 77
- Infectious Diseases 73
- Molecular Biology 38
Countries citing papers authored by Ehud Aharoni
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 8 | |
| 5 | Optimal Procedures for Multiple Testing Problems | 2 |
| 6 | 1 | |
| 7 | 13 | |
| 8 | 5 | |
| 9 | 119 | |
| 10 | Context Dependent Claim Detection | 100 |
| 11 | Claims on demand -- an initial demonstration of a system for automatic detection and polarity identification of context dependent claims in massive corpora | 4 |
| 12 | 77 | |
| 13 | 2 | |
| 14 | Hartigan's K-means versus Lloyd's K-means: is it time for a change? | 17 |
| 15 | 24 | |
| 16 | 6 | |
| 17 | 5 | |
| 18 | 40 | |
| 19 | 47 | |
| 20 | 40 |
About Ehud Aharoni
Ehud Aharoni is a scholar working on Statistics and Probability, Virology and Communication, having authored 20 papers that have together received 526 indexed citations. Recurring topics across this work include Topic Modeling (5 papers), Statistical Methods in Clinical Trials (5 papers) and Statistical Methods and Bayesian Inference (3 papers). The work is most often cited by research in Virology (77 citations), Artificial Intelligence (369 citations) and Information Systems (138 citations). Ehud Aharoni has collaborated with scholars based in Israel, United States and Germany. Frequent 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. Their work appears in journals such as Bioinformatics, PLoS ONE and Journal of the Royal Statistical Society Series B (Statistical Methodology).
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.