Johan Pensar

35 papers and 481 indexed citations i.

About

Johan Pensar is a scholar working on Artificial Intelligence, Molecular Biology and Statistics and Probability. According to data from OpenAlex, Johan Pensar has authored 35 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 12 papers in Molecular Biology and 10 papers in Statistics and Probability. Recurrent topics in Johan Pensar’s work include Bayesian Modeling and Causal Inference (15 papers), Bayesian Methods and Mixture Models (5 papers) and Data Management and Algorithms (4 papers). Johan Pensar is often cited by papers focused on Bayesian Modeling and Causal Inference (15 papers), Bayesian Methods and Mixture Models (5 papers) and Data Management and Algorithms (4 papers). Johan Pensar collaborates with scholars based in Finland, Norway and United Kingdom. Johan Pensar's co-authors include Jukka Corander, Maiju Pesonen, Santeri Puranen, Timo Koski, Rob J. L. Willems, Anita C. Schürch, Sergio Arredondo-Alonso, Janetta Top, Pekka Marttinen and Willem van Schaik and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Johan Pensar i

Fields of papers citing papers by Johan Pensar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Johan Pensar

Since Specialization
Citations

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