Guillaume Basse

413 total citations
12 papers, 150 citations indexed

About

Guillaume Basse is a scholar working on Statistics and Probability, Education and Management Science and Operations Research. According to data from OpenAlex, Guillaume Basse has authored 12 papers receiving a total of 150 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Statistics and Probability, 3 papers in Education and 2 papers in Management Science and Operations Research. Recurrent topics in Guillaume Basse's work include Advanced Causal Inference Techniques (8 papers), Statistical Methods and Bayesian Inference (7 papers) and Statistical Methods and Inference (5 papers). Guillaume Basse is often cited by papers focused on Advanced Causal Inference Techniques (8 papers), Statistical Methods and Bayesian Inference (7 papers) and Statistical Methods and Inference (5 papers). Guillaume Basse collaborates with scholars based in United States. Guillaume Basse's co-authors include Avi Feller, Panos Toulis, Art B. Owen, Mike Baiocchi, Luke Miratrix, Ravi Shroff, Sharad Goel, Jennifer Hill, Edoardo M. Airoldi and Peng Ding and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Econometrica.

In The Last Decade

Guillaume Basse

12 papers receiving 148 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Guillaume Basse United States 6 114 21 21 15 10 12 150
Frank Faulbaum Germany 5 15 0.1× 55 2.6× 10 0.5× 10 0.7× 6 0.6× 17 143
Sang Soo Park South Korea 9 76 0.7× 24 1.1× 12 0.6× 40 2.7× 20 219
Manfred Borovcnik Austria 7 182 1.6× 11 0.5× 112 5.3× 2 0.1× 3 0.3× 27 235
Jiannan Lu United States 7 136 1.2× 9 0.4× 2 0.1× 29 1.9× 17 196
John C. Wakefield Hong Kong 5 51 0.4× 7 0.3× 1 0.0× 24 1.6× 12 1.2× 14 114
Raghunath Arnab Botswana 10 224 2.0× 21 1.0× 1 0.0× 12 0.8× 57 252
Ângelo Jesus Portugal 6 13 0.1× 9 0.4× 45 2.1× 8 0.5× 35 113
Ben A. Kelly Australia 10 287 2.5× 9 0.4× 199 9.5× 3 0.2× 3 0.3× 21 320
Kimberley Lek Netherlands 5 16 0.1× 4 0.2× 4 0.2× 3 0.2× 7 0.7× 5 71
Bayo Lawal Nigeria 3 17 0.1× 7 0.3× 4 0.2× 7 0.5× 1 0.1× 10 85

Countries citing papers authored by Guillaume Basse

Since Specialization
Citations

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

Fields of papers citing papers by Guillaume Basse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guillaume Basse

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

All Works

12 of 12 papers shown
1.
Basse, Guillaume, Peng Ding, Avi Feller, & Panos Toulis. (2024). Randomization Tests for Peer Effects in Group Formation Experiments. Econometrica. 92(2). 567–590. 4 indexed citations
2.
Han, Kevin, Guillaume Basse, & Iavor Bojinov. (2023). Population interference in panel experiments. Journal of Econometrics. 238(1). 105565–105565. 2 indexed citations
3.
Basse, Guillaume, et al.. (2023). Combining Observational and Experimental Datasets Using Shrinkage Estimators. Biometrics. 79(4). 2961–2973. 14 indexed citations
4.
Basse, Guillaume, et al.. (2022). A Causal Framework for Observational Studies of Discrimination. SHILAP Revista de lepidopterología. 9(1). 26–48. 14 indexed citations
5.
Basse, Guillaume, et al.. (2021). Conditional as-if analyses in randomized experiments. SHILAP Revista de lepidopterología. 7 indexed citations
6.
Basse, Guillaume, et al.. (2021). The Generalized Oaxaca-Blinder Estimator. Journal of the American Statistical Association. 118(541). 524–536. 21 indexed citations
7.
Bojinov, Iavor, et al.. (2021). Population Interference in Panel Experiments. SSRN Electronic Journal. 1 indexed citations
8.
Basse, Guillaume, et al.. (2019). Minimax Crossover Designs. arXiv (Cornell University). 4 indexed citations
9.
Basse, Guillaume, Avi Feller, & Panos Toulis. (2018). Randomization tests of causal effects under interference. Biometrika. 106(2). 487–494. 30 indexed citations
10.
Basse, Guillaume & Avi Feller. (2017). Analyzing Two-Stage Experiments in the Presence of Interference. Journal of the American Statistical Association. 113(521). 41–55. 49 indexed citations
11.
Basse, Guillaume, et al.. (2016). Randomization and The Pernicious Effects of Limited Budgets on Auction Experiments. International Conference on Artificial Intelligence and Statistics. 1412–1420. 1 indexed citations
12.
Basse, Guillaume & Edoardo M. Airoldi. (2015). Optimal model-assisted design of experiments for network correlated outcomes suggests new notions of network balance. arXiv (Cornell University). 3 indexed citations

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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