Petra Perner

81 papers and 2.5k indexed citations i.

About

Petra Perner is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Petra Perner has authored 81 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 20 papers in Computer Vision and Pattern Recognition and 9 papers in Information Systems. Recurrent topics in Petra Perner’s work include Data Mining Algorithms and Applications (8 papers), AI-based Problem Solving and Planning (8 papers) and Cell Image Analysis Techniques (6 papers). Petra Perner is often cited by papers focused on Data Mining Algorithms and Applications (8 papers), AI-based Problem Solving and Planning (8 papers) and Cell Image Analysis Techniques (6 papers). Petra Perner collaborates with scholars based in Germany, United States and China. Petra Perner's co-authors include Bernd R. Müller, Chid Apte, Maneesha Singh, Sameer Singh, A.R. Holt, Rainer Schmidt, Isabelle Bichindaritz, Azriel Rosenfeld, Uwe Zscherpel and Ovidio Salvetti and has published in prestigious journals such as Pattern Recognition Letters, IEEE Transactions on Instrumentation and Measurement and Engineering Applications of Artificial Intelligence.

In The Last Decade

Co-authorship network of co-authors of Petra Perner i

Fields of papers citing papers by Petra Perner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Petra Perner

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025