Metrika

2.0k papers and 17.6k indexed citations

About

The 2.0k papers published in Metrika in the last decades have received a total of 17.6k indexed citations. Papers published in Metrika usually cover Statistics and Probability (1.2k papers), Management Science and Operations Research (505 papers) and Artificial Intelligence (391 papers) specifically the topics of Statistical Methods and Inference (481 papers), Statistical Distribution Estimation and Applications (478 papers) and Advanced Statistical Methods and Models (410 papers). The most active scholars publishing in Metrika are J. Hüsler, J. Pfanzagl, Rainer Dahlhaus, N. Balakrishnan, Norbert Henze, Debasis Kundu, Jorge Navarro, Rameshwar D. Gupta, Sarjinder Singh and Nitis Mukhopadhyay.

In The Last Decade

Metrika

1.6k papers receiving 15.6k citations

Fields of papers published in Metrika

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Metrika. 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 Metrika.

Countries where authors publish in Metrika

Since Specialization
Citations

This map shows the geographic impact of research published in Metrika. 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 Metrika with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Metrika 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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2026