Yoav Benjamini
Impact in
- Cognitive Neuroscience top 0.05%
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
- Statistics and Probability top 0.02%
- Statistical Methods in Clinical Trials
Papers in
-
- Statistical Methods in Clinical Trials 35
- Statistical Methods and Bayesian Inference 18
- Statistical Methods and Inference 16
- Co-authors
- Yosef HochbergDaniel YekutieliAbba Μ. KriegerAnat Reiner‐BenaimIlan GolaniRuth HellerFelix AbramovichY. Hochberg
- Journals
- Journal of the American Statistical Association (10 papers)NeuroImage (4 papers)Proceedings of the National Academy of Sciences (4 papers)The Annals of Statistics (4 papers)PLoS ONE (4 papers)
- Partner nations
- IsraelUnited StatesUnited Kingdom
In The Last Decade
Yoav Benjamini
140 papers receiving 99.4k citations
Hit Papers
Peers
Comparison fields: 5 of 238
- Cognitive Neuroscience 13.5k
- Statistics and Probability 5.3k
- Genetics 12.5k
- Molecular Biology 30.6k
- Biological Psychiatry 929
Countries citing papers authored by Yoav Benjamini
This map shows the geographic impact of Yoav Benjamini'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 Yoav Benjamini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yoav Benjamini more than expected).
Fields of papers citing papers by Yoav Benjamini
This network shows the impact of papers produced by Yoav Benjamini. 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 Yoav Benjamini. The network helps show where Yoav Benjamini may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yoav Benjamini, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2023 | 2 | |
| 3 | 2022 | 4 | |
| 4 | 2020 | 24 | |
| 5 | 2020 | 2 | |
| 6 | 2020 | 31 | |
| 7 | 2018 | 12 | |
| 8 | 2016 | 20 | |
| 9 | Driving Patterns of Novice Drivers – a Temporal Spatial Perspective | 2012 | 1 |
| 10 | 2009 | 11 | |
| 11 | Microarrays, Empirical Bayes and the Two-Groups Model. Comment. | 2008 | 2 |
| 12 | 2006 | 50 | |
| 13 | 2005 | 76 | |
| 14 | 2004 | 16 | |
| 15 | 2004 | 112 | |
| 16 | Identifying differentially expressed genes usingfalse discovery rate controlling procedures Hit paper breakdown → | 2003 | 1407 |
| 17 | 2003 | 60 | |
| 18 | 1998 | 10 | |
| 19 | 1995 | 2 | |
| 20 | 1990 | 3 |
About Yoav Benjamini
Yoav Benjamini is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Developmental Biology, Management Science and Operations Research and Cognitive Neuroscience, having authored 144 papers that have together received 101.1k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (35 papers), Statistical Methods and Bayesian Inference (18 papers), Statistical Methods and Inference (16 papers), Optimal Experimental Design Methods (14 papers), Gene expression and cancer classification (13 papers), Animal Behavior and Reproduction (12 papers), Zebrafish Biomedical Research Applications (11 papers) and Genetic Mapping and Diversity in Plants and Animals (10 papers). The work is most often cited by research in Cognitive Neuroscience (13.5k citations), Statistics and Probability (5.3k citations), Genetics (12.5k citations), Molecular Biology (30.6k citations) and Biological Psychiatry (929 citations). Yoav Benjamini has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Yosef Hochberg, Daniel Yekutieli, Abba Μ. Krieger, Anat Reiner‐Benaim, Ilan Golani, Ruth Heller, Felix Abramovich, Y. Hochberg, Neri Kafkafi and Wei Liu. Their work appears in journals such as Journal of the American Statistical Association, NeuroImage, Proceedings of the National Academy of Sciences, The Annals of Statistics and PLoS ONE.
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.