Roland Priemer

About

Roland Priemer is a scholar working on Artificial Intelligence, Control and Systems Engineering and Signal Processing. According to data from OpenAlex, Roland Priemer has authored 34 papers receiving a total of 279 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 14 papers in Control and Systems Engineering and 10 papers in Signal Processing. Recurrent topics in Roland Priemer’s work include Neural Networks and Applications (8 papers), Target Tracking and Data Fusion in Sensor Networks (8 papers) and Blind Source Separation Techniques (7 papers). Roland Priemer is often cited by papers focused on Neural Networks and Applications (8 papers), Target Tracking and Data Fusion in Sensor Networks (8 papers) and Blind Source Separation Techniques (7 papers). Roland Priemer collaborates with scholars based in United States, Canada and Taiwan. Roland Priemer's co-authors include Vivek Nigam, P. Kalata, Chunshien Li, M. Farooq, Α.Κ. Mahalanabis, Jiangnan Chen, Yueh‐Jaw Lin, Claudia E. Korcarz, Roberto M. Lang and Masud H. Chowdhury and has published in prestigious journals such as IEEE Transactions on Automatic Control, Proceedings of the IEEE and International Journal for Numerical Methods in Engineering.

In The Last Decade

Co-authorship network of co-authors of Roland Priemer i

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Fields of papers citing papers by Roland Priemer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Roland Priemer

Since Specialization

Citations

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