Peter Gaenssler

546 total citations
9 papers, 198 citations indexed

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 9 papers receiving a total of 198 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, Switzerland and Canada. Peter Gaenssler's co-authors include Winfried Stute, Pál Révész, Péter K. Molnár, R. M. Dudley, Kenneth S. Alexander, Walter Philipp, David Pollard and Ronald Pyke 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

Peter Gaenssler

9 papers receiving 173 citations

Peers

Peter Gaenssler
Comparison fields: 5 of 43
  • Statistics and Probability 120
  • Finance 103
  • Management Science and Operations Research 43
  • Artificial Intelligence 36
  • Economics and Econometrics 24
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Kamal C. Chanda United States
D. M. Chibisov Russia
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Tuan D. Pham United States
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Citations per field, relative to Peter Gaenssler
Peter Gaenssler · 1×
Citations per year, relative to Peter Gaenssler
Peter Gaenssler · 1×

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).

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.

Co-authorship network of co-authors of Peter Gaenssler

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Gaenssler. A scholar is included among the top collaborators of Peter Gaenssler based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peter Gaenssler. Peter Gaenssler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
# Work Indexed citations
1 6
2 1
3 1
4 78
5 8
6 75
7 16
8 10
9
Around the Glivenko - Cantelli theorem
3

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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