Cameron Davidson-Pilon

1.1k total citations · 1 hit paper
2 papers, 482 citations indexed

About

Cameron Davidson-Pilon is a scholar working on Artificial Intelligence, Management Science and Operations Research and Infectious Diseases. According to data from OpenAlex, Cameron Davidson-Pilon has authored 2 papers receiving a total of 482 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Artificial Intelligence, 1 paper in Management Science and Operations Research and 0 papers in Infectious Diseases. Recurrent topics in Cameron Davidson-Pilon's work include Forecasting Techniques and Applications (1 paper), Bayesian Modeling and Causal Inference (1 paper) and Data Analysis with R (1 paper). Cameron Davidson-Pilon is often cited by papers focused on Forecasting Techniques and Applications (1 paper), Bayesian Modeling and Causal Inference (1 paper) and Data Analysis with R (1 paper). Cameron Davidson-Pilon collaborates with scholars based in . Cameron Davidson-Pilon's co-authors include and has published in prestigious journals such as CERN Document Server (European Organization for Nuclear Research) and The Journal of Open Source Software.

In The Last Decade

Cameron Davidson-Pilon

2 papers receiving 469 citations

Hit Papers

lifelines: survival analysis in Python 2019 2026 2021 2023 2019 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cameron Davidson-Pilon 2 101 70 69 68 66 2 482
Rui Fu China 11 82 0.8× 42 0.6× 111 1.6× 34 0.5× 60 0.9× 43 432
Geoffrey Smith United States 13 73 0.7× 98 1.4× 80 1.2× 98 1.4× 163 2.5× 45 492
Ryan Goosen Switzerland 5 235 2.3× 68 1.0× 59 0.9× 77 1.1× 71 1.1× 5 529
Anuradha Roy United States 16 128 1.3× 81 1.2× 45 0.7× 69 1.0× 93 1.4× 58 1.1k
Héctor Sanz United States 4 175 1.7× 40 0.6× 106 1.5× 42 0.6× 41 0.6× 8 481
Dai Feng United States 13 84 0.8× 46 0.7× 25 0.4× 55 0.8× 57 0.9× 41 442
Jiachen Wang China 12 50 0.5× 37 0.5× 22 0.3× 86 1.3× 46 0.7× 79 671
Ken Takasawa Japan 15 264 2.6× 188 2.7× 69 1.0× 142 2.1× 50 0.8× 27 652
Duyen Thi Taiwan 11 166 1.6× 178 2.5× 60 0.9× 78 1.1× 43 0.7× 15 513
Valentina Brancato Italy 16 52 0.5× 225 3.2× 135 2.0× 50 0.7× 40 0.6× 39 566

Countries citing papers authored by Cameron Davidson-Pilon

Since Specialization
Citations

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

Fields of papers citing papers by Cameron Davidson-Pilon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cameron Davidson-Pilon. 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 Cameron Davidson-Pilon. The network helps show where Cameron Davidson-Pilon may publish in the future.

No nodes

All Works

2 of 2 papers shown
1.
Davidson-Pilon, Cameron. (2019). lifelines: survival analysis in Python. The Journal of Open Source Software. 4(40). 1317–1317. 432 indexed citations breakdown →
2.
Davidson-Pilon, Cameron. (2015). Bayesian Methods for Hackers: Probabilistic Programming and Bayesian Inference. CERN Document Server (European Organization for Nuclear Research). 50 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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