Maja Pohar Perme

81 papers and 2.3k indexed citations i.

About

Maja Pohar Perme is a scholar working on Statistics and Probability, Surgery and Oncology. According to data from OpenAlex, Maja Pohar Perme has authored 81 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Statistics and Probability, 20 papers in Surgery and 16 papers in Oncology. Recurrent topics in Maja Pohar Perme’s work include Statistical Methods and Inference (20 papers), Statistical Methods and Bayesian Inference (17 papers) and Colorectal Cancer Screening and Detection (7 papers). Maja Pohar Perme is often cited by papers focused on Statistical Methods and Inference (20 papers), Statistical Methods and Bayesian Inference (17 papers) and Colorectal Cancer Screening and Detection (7 papers). Maja Pohar Perme collaborates with scholars based in Slovenia, United Kingdom and United States. Maja Pohar Perme's co-authors include Janez Stare, Per Kragh Andersen, Jacques Estève, Robin Henderson, Bernard Rachet, R Ammann, Paul R. Torgerson, Peter Deplazes, Alexander Schweiger and Philip Tarr and has published in prestigious journals such as PLoS ONE, Biometrics and Journal of Hepatology.

In The Last Decade

Co-authorship network of co-authors of Maja Pohar Perme i

Fields of papers citing papers by Maja Pohar Perme

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maja Pohar Perme. 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 Maja Pohar Perme. The network helps show where Maja Pohar Perme may publish in the future.

Countries citing papers authored by Maja Pohar Perme

Since Specialization
Citations

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