Max G’Sell

1.3k citations
13 papers · 570 indexed · 1 hit paper · h-index 8

Impact in

Papers in

Max G’Sell

13 papers receiving 549 citations

Hit Papers

Distribution-Free Predictive Inference for Regression 2017 · 353 citations
3532017202620202023100200300

Peers

Max G’Sell
Comparison fields: 5 of 128
  • Statistics and Probability 200
  • Health Informatics 12
  • Artificial Intelligence 214
  • Statistics, Probability and Uncertainty 37
  • Management Science and Operations Research 35
Replace Stephen Bates with:
Stephen Bates United States
Zardad Khan Pakistan
Pavlo Mozharovskyi France
Daniel A. Henderson United Kingdom
Matthew A. Taddy United States
Daniel J. Nordman United States
Chris Hans United States
Peter Radchenko United States
Jacek Koronacki Poland
Céline Lévy‐Leduc France
Max G’Sell relative to Stephen Bates United States Stephen Bates's profile →
Citations per field
00.5×
Stephen Bates · 1×
Citations per year

Countries citing papers authored by Max G’Sell

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Max G’Sell Line = papers co-authored together Max G’Sell links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 20246
2 20241
3 20212
4 202014
5 202015
6 20209
7 201945
8 201826
9 20178
10
Distribution-Free Predictive Inference for Regression
Hit paper breakdown →
2017353
11 201586
12
False Discovery Rate Control for Sequential Selection Procedures, with Application to the Lasso
20134
13 20131

About Max G’Sell

Max G’Sell is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Behavioral Neuroscience, Rehabilitation and Genetics, having authored 13 papers that have together received 570 indexed citations. Recurring topics across this work include Statistical Methods and Inference (5 papers), Genetic Associations and Epidemiology (3 papers), Statistical Methods in Clinical Trials (3 papers), Gene expression and cancer classification (3 papers), Advanced Statistical Methods and Models (2 papers), Advanced Statistical Process Monitoring (2 papers), Bioinformatics and Genomic Networks (2 papers) and Stress Responses and Cortisol (1 paper). The work is most often cited by research in Statistics and Probability (200 citations), Health Informatics (12 citations), Artificial Intelligence (214 citations), Statistics, Probability and Uncertainty (37 citations) and Management Science and Operations Research (35 citations). Max G’Sell has collaborated with scholars based in United States and Israel. Frequent co-authors include Alessandro Rinaldo, Larry Wasserman, Ryan J. Tibshirani, Jing Lei, Robert Tibshirani, Stefan Wager, Alexandra Chouldechova, Sangwon Hyun, Kathryn Roeder and Bernie Devlin. Their work appears in journals such as Electronic Journal of Statistics, Human Genetics and Genomics Advances, Annals of Human Genetics, Nature Communications and Briefings in Bioinformatics.

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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