Peter Orbanz

13 papers and 318 indexed citations i.

About

Peter Orbanz is a scholar working on Artificial Intelligence, Statistics and Probability and Mathematical Physics. According to data from OpenAlex, Peter Orbanz has authored 13 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 6 papers in Statistics and Probability and 3 papers in Mathematical Physics. Recurrent topics in Peter Orbanz’s work include Bayesian Methods and Mixture Models (8 papers), Stochastic processes and statistical mechanics (3 papers) and Statistical Methods and Inference (3 papers). Peter Orbanz is often cited by papers focused on Bayesian Methods and Mixture Models (8 papers), Stochastic processes and statistical mechanics (3 papers) and Statistical Methods and Inference (3 papers). Peter Orbanz collaborates with scholars based in United Kingdom, United States and Switzerland. Peter Orbanz's co-authors include Joachim M. Buhmann, Daniel M. Roy, Igor Prünster, Antonio Lijoi, Sinead A. Williamson, Zoubin Ghahramani, Balázs Szegedy, Victor Veitch, David M. Blei and Ryan P. Adams and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, The Annals of Statistics and Journal of the Royal Statistical Society Series B (Statistical Methodology).

In The Last Decade

Co-authorship network of co-authors of Peter Orbanz i

Fields of papers citing papers by Peter Orbanz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Peter Orbanz

Since Specialization
Citations

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