Martin Przyjaciel-Zablocki

About

Martin Przyjaciel-Zablocki is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Martin Przyjaciel-Zablocki has authored 7 papers receiving a total of 85 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Information Systems and 4 papers in Signal Processing. Recurrent topics in Martin Przyjaciel-Zablocki’s work include Recommender Systems and Techniques (4 papers), Semantic Web and Ontologies (3 papers) and Music and Audio Processing (3 papers). Martin Przyjaciel-Zablocki is often cited by papers focused on Recommender Systems and Techniques (4 papers), Semantic Web and Ontologies (3 papers) and Music and Audio Processing (3 papers). Martin Przyjaciel-Zablocki collaborates with scholars based in Germany. Martin Przyjaciel-Zablocki's co-authors include Georg Lausen, Alexander Schätzle, Thomas Hornung, Cai-Nicolas Ziegler and Víctor Ayala and has published in prestigious journals such as Proceedings of the VLDB Endowment, CiteSeer X (The Pennsylvania State University) and International Symposium/Conference on Music Information Retrieval.

In The Last Decade

Co-authorship network of co-authors of Martin Przyjaciel-Zablocki i

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Fields of papers citing papers by Martin Przyjaciel-Zablocki

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Martin Przyjaciel-Zablocki. 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 Martin Przyjaciel-Zablocki. The network helps show where Martin Przyjaciel-Zablocki may publish in the future.

Countries citing papers authored by Martin Przyjaciel-Zablocki

Since Specialization

Citations

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