Austrian Journal of Statistics

435 papers and 2.5k indexed citations i.

About

The 435 papers published in Austrian Journal of Statistics in the last decades have received a total of 2.5k indexed citations. Papers published in Austrian Journal of Statistics usually cover Statistics and Probability (250 papers), Artificial Intelligence (107 papers) and Statistics, Probability and Uncertainty (74 papers) specifically the topics of Statistical Distribution Estimation and Applications (115 papers), Advanced Statistical Methods and Models (77 papers) and Statistical Methods and Inference (58 papers). The most active scholars publishing in Austrian Journal of Statistics are Faton Merovci, S. Mahmoud Taheri, Peter Filzmoser, Karl Moder, Ibrahim Elbatal, Broderick O. Oluyede, C. Barceló‐Vidal, Josep Antoni Martín Fernández, Housila P. Singh and Gajendra K. Vishwakarma.

In The Last Decade

Fields of papers published in Austrian Journal of Statistics

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Austrian Journal of Statistics. 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 Austrian Journal of Statistics.

Countries where authors publish in Austrian Journal of Statistics

Since Specialization
Citations

This map shows the geographic impact of research published in Austrian Journal of Statistics. 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 Austrian Journal of Statistics with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Austrian Journal of Statistics 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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