Daniel Simpson

53 papers and 4.0k indexed citations i.

About

Daniel Simpson is a scholar working on Environmental Engineering, Artificial Intelligence and Statistics and Probability. According to data from OpenAlex, Daniel Simpson has authored 53 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Environmental Engineering, 19 papers in Artificial Intelligence and 19 papers in Statistics and Probability. Recurrent topics in Daniel Simpson’s work include Soil Geostatistics and Mapping (18 papers), Statistical Methods and Bayesian Inference (15 papers) and Bayesian Methods and Mixture Models (12 papers). Daniel Simpson is often cited by papers focused on Soil Geostatistics and Mapping (18 papers), Statistical Methods and Bayesian Inference (15 papers) and Bayesian Methods and Mixture Models (12 papers). Daniel Simpson collaborates with scholars based in United Kingdom, Norway and United States. Daniel Simpson's co-authors include Håvard Rue, Finn Lindgren, Sigrunn H. Sørbye, Andrea Riebler, Thiago G. Martins, Andrew Gelman, Janine Illian, Michael Betancourt, Geir‐Arne Fuglstad and Michela Cameletti and has published in prestigious journals such as Journal of the American Statistical Association, Environmental Science & Technology and Chemistry - A European Journal.

In The Last Decade

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

Fields of papers citing papers by Daniel Simpson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel Simpson

Since Specialization
Citations

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