Peter Gaenssler

7 papers and 109 indexed citations i.

About

Peter Gaenssler is a scholar working on Artificial Intelligence, Management Science and Operations Research and Statistics and Probability. According to data from OpenAlex, Peter Gaenssler has authored 7 papers receiving a total of 109 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 3 papers in Management Science and Operations Research and 3 papers in Statistics and Probability. Recurrent topics in Peter Gaenssler’s work include Bayesian Methods and Mixture Models (3 papers), Probability and Risk Models (3 papers) and Statistical Methods and Inference (2 papers). Peter Gaenssler is often cited by papers focused on Bayesian Methods and Mixture Models (3 papers), Probability and Risk Models (3 papers) and Statistical Methods and Inference (2 papers). Peter Gaenssler collaborates with scholars based in Germany and Canada. Peter Gaenssler's co-authors include Winfried Stute, Pál Révész, Péter K. Molnár, Kenneth S. Alexander, Walter Philipp, Ronald Pyke, David Pollard and R. M. Dudley and has published in prestigious journals such as Lecture notes in mathematics, The Annals of Probability and Stochastic Processes and their Applications.

In The Last Decade

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

Fields of papers citing papers by Peter Gaenssler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Peter Gaenssler

Since Specialization
Citations

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