Steve Yadlowsky

1.9k total citations
14 papers, 300 citations indexed

About

Steve Yadlowsky is a scholar working on Statistics and Probability, Economics and Econometrics and Artificial Intelligence. According to data from OpenAlex, Steve Yadlowsky has authored 14 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Statistics and Probability, 4 papers in Economics and Econometrics and 3 papers in Artificial Intelligence. Recurrent topics in Steve Yadlowsky's work include Advanced Causal Inference Techniques (5 papers), Statistical Methods and Inference (5 papers) and Health Systems, Economic Evaluations, Quality of Life (4 papers). Steve Yadlowsky is often cited by papers focused on Advanced Causal Inference Techniques (5 papers), Statistical Methods and Inference (5 papers) and Health Systems, Economic Evaluations, Quality of Life (4 papers). Steve Yadlowsky collaborates with scholars based in United States, Switzerland and Germany. Steve Yadlowsky's co-authors include Sanjay Basu, Yuan‐I Min, Rodney A. Hayward, Jeremy B. Sussman, Robyn L. McClelland, Cathy Wu, Alexandre M. Bayen, Alexei Pozdnoukhov, Nigam H. Shah and Hongseok Namkoong and has published in prestigious journals such as Journal of the American Statistical Association, Annals of Internal Medicine and The Annals of Statistics.

In The Last Decade

Steve Yadlowsky

13 papers receiving 288 citations

Peers

Steve Yadlowsky
Comparison fields: 5 of 80
  • Cardiology and Cardiovascular Medicine 82
  • Economics and Econometrics 60
  • Surgery 47
  • Statistics and Probability 43
  • Transportation 43
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Citations per field, relative to Steve Yadlowsky
Steve Yadlowsky · 1×
Citations per year, relative to Steve Yadlowsky
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Countries citing papers authored by Steve Yadlowsky

Since Specialization
Citations

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

Fields of papers citing papers by Steve Yadlowsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steve Yadlowsky

This figure shows the co-authorship network connecting the top 25 collaborators of Steve Yadlowsky. A scholar is included among the top collaborators of Steve Yadlowsky 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 Steve Yadlowsky. Steve Yadlowsky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
# Work Indexed citations
1 21
2 1
3 1
4 12
5
Counterfactual Invariance to Spurious Correlations in Text Classification
13
6 11
7 8
8
A Calibration Metric for Risk Scores with Survival Data
2
9
Bounds on the conditional and average treatment effect in the presence of unobserved confounders
3
10 167
11
Adaptive sampling probabilities for non-smooth optimization
8
12
Link Density Inference from Cellular Infrastructure
5
13 26
14 22

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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