Eric B. Laber

5.3k total citations · 2 hit papers
90 papers, 2.9k citations indexed

About

Eric B. Laber is a scholar working on Statistics and Probability, Economics and Econometrics and Artificial Intelligence. According to data from OpenAlex, Eric B. Laber has authored 90 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Statistics and Probability, 13 papers in Economics and Econometrics and 12 papers in Artificial Intelligence. Recurrent topics in Eric B. Laber's work include Advanced Causal Inference Techniques (39 papers), Statistical Methods and Inference (30 papers) and Statistical Methods in Clinical Trials (25 papers). Eric B. Laber is often cited by papers focused on Advanced Causal Inference Techniques (39 papers), Statistical Methods and Inference (30 papers) and Statistical Methods in Clinical Trials (25 papers). Eric B. Laber collaborates with scholars based in United States, Canada and Singapore. Eric B. Laber's co-authors include Marie Davidian, Anastasios A. Tsiatis, Michael R. Kosorok, Jesse Clifton, Ying‐Qi Zhao, Baqun Zhang, Susan A. Murphy, Daniel J. Lizotte, Donglin Zeng and Brian J. Reich and has published in prestigious journals such as Journal of the American Statistical Association, PLoS ONE and Technometrics.

In The Last Decade

Eric B. Laber

83 papers receiving 2.9k citations

Hit Papers

Q-Learning: Theory and Applications 2019 2026 2021 2023 2020 2019 50 100 150 200 250

Peers

Eric B. Laber
Comparison fields: 5 of 171
  • Statistics and Probability 1.5k
  • Economics and Econometrics 476
  • Artificial Intelligence 394
  • Molecular Biology 205
  • Health, Toxicology and Mutagenesis 178
Replace Sonja Greven with:
Sonja Greven Germany
Hannu Oja Finland
Jiming Jiang United States
Jane-Ling Wang United States
Donglin Zeng United States
Ying Wei United States
Yi Li United States
Yuedong Wang United States
Toshiro Tango Japan
Minge Xie United States
Sonja Greven Germany View profile →
Citations per field, relative to Eric B. Laber
Eric B. Laber · 1×
Citations per year, relative to Eric B. Laber
Eric B. Laber · 1×

Countries citing papers authored by Eric B. Laber

Since Specialization
Citations

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

Fields of papers citing papers by Eric B. Laber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric B. Laber. 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 Eric B. Laber. The network helps show where Eric B. Laber may publish in the future.

Co-authorship network of co-authors of Eric B. Laber

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 17
4 20
5 12
6 2
7 8
8 3
9 29
10 29
11 9
12 11
13 8
14 110
15 11
16 39
17 41
18 1
19 21
20 273

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026