Max G’Sell
Impact in
- Statistics and Probability top 2%
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Advanced Statistical Methods and Models
- Statistical Methods in Clinical Trials
- Health Informatics top 10%
Papers in
-
- Statistical Methods and Inference 5
- Statistical Methods in Clinical Trials 3
- Advanced Statistical Methods and Models 2
- Genetics 4
- Genetic Associations and Epidemiology 3
- Co-authors
- Larry Wasserman (2 shared papers)Alessandro Rinaldo (2 shared papers)Ryan J. Tibshirani (2 shared papers)Jing Lei (1 shared paper)Robert Tibshirani (3 shared papers)Alexandra Chouldechova (3 shared papers)Stefan Wager (2 shared papers)Sangwon Hyun (1 shared paper)
- Journals
- PLoS ONE (2 papers)Annals of Human Genetics (1 paper)Human Genetics and Genomics Advances (1 paper)Briefings in Bioinformatics (1 paper)Nature (1 paper)
- Partner nations
- United StatesIsrael
In The Last Decade
Max G’Sell
14 papers receiving 596 citations
Max G’Sell's Hit Papers
Peers
Comparison fields: 5 of 130
- Statistics and Probability 206
- Health Informatics 13
- Artificial Intelligence 230
- Statistics, Probability and Uncertainty 38
- Management Science and Operations Research 38
Countries citing papers authored by Max G’Sell
This map shows the geographic impact of Max G’Sell'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 Max G’Sell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Max G’Sell more than expected).
Fields of papers citing papers by Max G’Sell
This network shows the impact of papers produced by Max G’Sell. 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 Max G’Sell. The network helps show where Max G’Sell may publish in the future.
Co-authors
The 25 scholars most cited alongside Max G’Sell, 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 | Distribution-Free Predictive Inference for Regression Hit paper breakdown → | 2017 | 389 |
| 2 | 2015 | 86 | |
| 3 | 2019 | 47 | |
| 4 | 2018 | 27 | |
| 5 | 2020 | 15 | |
| 6 | 2020 | 14 | |
| 7 | 2020 | 10 | |
| 8 | 2017 | 8 | |
| 9 | 2024 | 7 | |
| 10 | False Discovery Rate Control for Sequential Selection Procedures, with Application to the Lasso | 2013 | 5 |
| 11 | 2021 | 2 | |
| 12 | 2013 | 1 | |
| 13 | 2023 | 1 | |
| 14 | 2024 | 1 | |
| 15 | 2024 | 0 | |
| 16 | 2024 | 0 |
About Max G’Sell
Max G’Sell is a scholar working on Statistics and Probability, Genetics, Statistics, Probability and Uncertainty, Molecular Biology and Literature and Literary Theory, having authored 16 papers that have together received 613 indexed citations. Recurring topics across this work include Statistical Methods and Inference (5 papers), Gene expression and cancer classification (3 papers), Statistical Methods in Clinical Trials (3 papers), Advanced Statistical Process Monitoring (3 papers), Genetic Associations and Epidemiology (3 papers), Advanced Statistical Methods and Models (2 papers), Bioinformatics and Genomic Networks (2 papers) and Digital Humanities and Scholarship (2 papers). The work is most often cited by research in Statistics and Probability (206 citations), Health Informatics (13 citations), Artificial Intelligence (230 citations), Statistics, Probability and Uncertainty (38 citations) and Management Science and Operations Research (38 citations). Max G’Sell has collaborated with scholars based in United States and Israel. Frequent co-authors include Larry Wasserman, Alessandro Rinaldo, Ryan J. Tibshirani, Jing Lei, Robert Tibshirani, Alexandra Chouldechova, Stefan Wager, Sangwon Hyun, Kathryn Roeder and Bernie Devlin. Their work appears in journals such as PLoS ONE, Annals of Human Genetics, Human Genetics and Genomics Advances, Briefings in Bioinformatics and Nature.
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.