Siegfried Gabler

39 papers and 453 indexed citations i.

About

Siegfried Gabler is a scholar working on Statistics and Probability, Management Science and Operations Research and Artificial Intelligence. According to data from OpenAlex, Siegfried Gabler has authored 39 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Statistics and Probability, 12 papers in Management Science and Operations Research and 6 papers in Artificial Intelligence. Recurrent topics in Siegfried Gabler’s work include Survey Sampling and Estimation Techniques (8 papers), Optimal Experimental Design Methods (8 papers) and Bayesian Methods and Mixture Models (5 papers). Siegfried Gabler is often cited by papers focused on Survey Sampling and Estimation Techniques (8 papers), Optimal Experimental Design Methods (8 papers) and Bayesian Methods and Mixture Models (5 papers). Siegfried Gabler collaborates with scholars based in Germany, United States and Switzerland. Siegfried Gabler's co-authors include Jürgen H. P. Hoffmeyer-Zlotnik, François Laisney, Michael Lechner, Tenko Raykov, Sabine Häder, Eckart Voland, Dimiter M. Dimitrov, Dagmar Krebs, Seppo Laaksonen and Peter Lynn and has published in prestigious journals such as Biometrika, The Annals of Statistics and Journal of Business and Economic Statistics.

In The Last Decade

Co-authorship network of co-authors of Siegfried Gabler i

Fields of papers citing papers by Siegfried Gabler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Siegfried Gabler

Since Specialization
Citations

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