Peter Poller

16 papers and 51 indexed citations i.

About

Peter Poller is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Peter Poller has authored 16 papers receiving a total of 51 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 3 papers in Signal Processing and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Peter Poller’s work include Speech and dialogue systems (13 papers), Natural Language Processing Techniques (9 papers) and Topic Modeling (5 papers). Peter Poller is often cited by papers focused on Speech and dialogue systems (13 papers), Natural Language Processing Techniques (9 papers) and Topic Modeling (5 papers). Peter Poller collaborates with scholars based in Germany, United Kingdom and Switzerland. Peter Poller's co-authors include Tilman Becker, Jonathan Kilgour, Gabriel Murray, Steve Renals, Gerd Herzog, Ralf Engel, Norbert Reithinger, Ivana Kruijff‐Korbayová, Wolfgang Finkler and Jan Alexandersson and has published in prestigious journals such as Lecture notes in computer science, Language Resources and Evaluation and Natural Language Engineering.

In The Last Decade

Co-authorship network of co-authors of Peter Poller i

Fields of papers citing papers by Peter Poller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Peter Poller

Since Specialization
Citations

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