AStA Advances in Statistical Analysis

444 papers and 4.8k indexed citations i.

About

The 444 papers published in AStA Advances in Statistical Analysis in the last decades have received a total of 4.8k indexed citations. Papers published in AStA Advances in Statistical Analysis usually cover Statistics and Probability (247 papers), Economics and Econometrics (107 papers) and Artificial Intelligence (98 papers) specifically the topics of Statistical Methods and Inference (123 papers), Statistical Methods and Bayesian Inference (93 papers) and Advanced Statistical Methods and Models (76 papers). The most active scholars publishing in AStA Advances in Statistical Analysis are Christian Weiß, Cristiano Varin, Saralees Nadarajah, Han Lin Shang, Daniel Schunk, Mathias Sinning, Thomas Bauer, Michela Cameletti, Stefan Sperlich and Håvard Rue.

In The Last Decade

Fields of papers published in AStA Advances in Statistical Analysis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in AStA Advances in Statistical Analysis. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in AStA Advances in Statistical Analysis.

Countries where authors publish in AStA Advances in Statistical Analysis

Since Specialization
Citations

This map shows the geographic impact of research published in AStA Advances in Statistical Analysis. 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 papers published in AStA Advances in Statistical Analysis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites AStA Advances in Statistical Analysis 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.

Explore journals with similar magnitude of impact

Rankless by CCL
2025