Daniel Percival

6 papers and 241 indexed citations i.

About

Daniel Percival is a scholar working on Statistics and Probability, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Daniel Percival has authored 6 papers receiving a total of 241 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Statistics and Probability, 2 papers in Molecular Biology and 2 papers in Artificial Intelligence. Recurrent topics in Daniel Percival’s work include Statistical Methods and Inference (4 papers), Advanced Causal Inference Techniques (2 papers) and Hepatitis C virus research (1 paper). Daniel Percival is often cited by papers focused on Statistical Methods and Inference (4 papers), Advanced Causal Inference Techniques (2 papers) and Hepatitis C virus research (1 paper). Daniel Percival collaborates with scholars based in United States. Daniel Percival's co-authors include Qingyuan Zhao, Chris Fraley, Roni Rosenfeld, Kathryn Roeder, Larry Wasserman, Di Liu, Stephen E. Fienberg, D. W. Denbo, Paul Y. Huang and Harold O. Mofjeld and has published in prestigious journals such as Journal of the American Statistical Association, The Annals of Applied Statistics and Journal of Statistical Computation and Simulation.

In The Last Decade

Co-authorship network of co-authors of Daniel Percival i

Fields of papers citing papers by Daniel Percival

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel Percival

Since Specialization
Citations

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

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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2025