Philipp Mayr
About
In The Last Decade
Philipp Mayr
80 papers receiving 692 citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Information Systems 266
- Artificial Intelligence 231
- Statistics, Probability and Uncertainty 200
- Information Systems and Management 107
- Molecular Biology 63
Countries citing papers authored by Philipp Mayr
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).
Fields of papers citing papers by Philipp Mayr
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.
Co-authorship network of co-authors of Philipp Mayr
This figure shows the co-authorship network connecting the top 25 collaborators of Philipp Mayr. A scholar is included among the top collaborators of Philipp Mayr based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Philipp Mayr. Philipp Mayr is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 6 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 22 | |
| 10 | 60 | |
| 11 | Highly cited references in PLOS ONE and their in-text usage over time. | 1 |
| 12 | Examining the citation and altmetric advantage of bioRxiv preprints. | 1 |
| 13 | How do Practitioners, PhD Students and Postdocs in the Social Sciences Assess Topic-specific Recommendations? | 1 |
| 14 | 4 | |
| 15 | 1 | |
| 16 | Automatische Referenzextraktion mit PARSCIT | 0 |
| 17 | Applying science models for search | 0 |
| 18 | Allgemeiner Bibliothekszugang und Varianten der Suchtypologie - Konsequenzen für die Modellbildung in vascoda: Version 1 | 1 |
| 19 | Abdeckung und Aktualität des Suchdienstes Google Scholar | 3 |
| 20 | Webometrische Analysen mit Hilfe der Google Web APIs | 6 |
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.