Mihael Perman

13 papers and 496 indexed citations i.

About

Mihael Perman is a scholar working on Finance, Mathematical Physics and Artificial Intelligence. According to data from OpenAlex, Mihael Perman has authored 13 papers receiving a total of 496 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Finance, 6 papers in Mathematical Physics and 4 papers in Artificial Intelligence. Recurrent topics in Mihael Perman’s work include Stochastic processes and statistical mechanics (6 papers), Financial Risk and Volatility Modeling (6 papers) and Bayesian Methods and Mixture Models (4 papers). Mihael Perman is often cited by papers focused on Stochastic processes and statistical mechanics (6 papers), Financial Risk and Volatility Modeling (6 papers) and Bayesian Methods and Mixture Models (4 papers). Mihael Perman collaborates with scholars based in Slovenia, United States and Croatia. Mihael Perman's co-authors include Marc Yor, Jim Pitman, Wendelin Werner, Hrvoje Šikić, Miljenko Huzak, Zoran Vondraček, Jon A. Wellner, Nejc Šarabon, Žiga Kozinc and Tomasz J. Kozubowski and has published in prestigious journals such as Frontiers in Physiology, IEEE Transactions on Reliability and Journal of Applied Probability.

In The Last Decade

Co-authorship network of co-authors of Mihael Perman i

Fields of papers citing papers by Mihael Perman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mihael Perman

Since Specialization
Citations

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