Frank Lad

30 papers and 514 indexed citations i.

About

Frank Lad is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Statistics and Probability. According to data from OpenAlex, Frank Lad has authored 30 papers receiving a total of 514 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 8 papers in Statistical and Nonlinear Physics and 6 papers in Statistics and Probability. Recurrent topics in Frank Lad’s work include Bayesian Modeling and Causal Inference (7 papers), Statistical Mechanics and Entropy (7 papers) and Forecasting Techniques and Applications (5 papers). Frank Lad is often cited by papers focused on Bayesian Modeling and Causal Inference (7 papers), Statistical Mechanics and Entropy (7 papers) and Forecasting Techniques and Applications (5 papers). Frank Lad collaborates with scholars based in New Zealand, Italy and United States. Frank Lad's co-authors include Elisabeth Slooten, Giuseppe Sanfilippo, Tom Leonard, Gail Blattenberger, Jon R. Miller, Steve Dawson, William F. Taylor, James Dickey, Mohammad A. Rahman and Andrea Capotorti and has published in prestigious journals such as Technometrics, Biometrics and Journal of Environmental Economics and Management.

In The Last Decade

Co-authorship network of co-authors of Frank Lad i

Fields of papers citing papers by Frank Lad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Frank Lad

Since Specialization
Citations

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