Philipp Mayr

73 papers and 1.4k indexed citations i.

About

Philipp Mayr is a scholar working on Information Systems, Artificial Intelligence and Statistics, Probability and Uncertainty. According to data from OpenAlex, Philipp Mayr has authored 73 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Information Systems, 29 papers in Artificial Intelligence and 23 papers in Statistics, Probability and Uncertainty. Recurrent topics in Philipp Mayr’s work include scientometrics and bibliometrics research (23 papers), Semantic Web and Ontologies (16 papers) and Web visibility and informetrics (11 papers). Philipp Mayr is often cited by papers focused on scientometrics and bibliometrics research (23 papers), Semantic Web and Ontologies (16 papers) and Web visibility and informetrics (11 papers). Philipp Mayr collaborates with scholars based in Germany, France and United States. Philipp Mayr's co-authors include Vivek Kumar Singh, Prashasti Singh, Jacqueline Leta, Mousumi Karmakar, Andrea Scharnhorst, Isabella Peters, Nicholas Fraser, Peter Mutschke, Dirk Lewandowski and Marcia Lei Zeng and has published in prestigious journals such as PLoS ONE, Scientometrics and Information Processing & Management.

In The Last Decade

Co-authorship network of co-authors of Philipp Mayr i

Fields of papers citing papers by Philipp Mayr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Philipp Mayr

Since Specialization
Citations

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