Philipp Mayr
Impact in
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- scientometrics and bibliometrics research
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- Academic Publishing and Open Access
Papers in
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- Semantic Web and Ontologies 32
- Topic Modeling 14
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- Web visibility and informetrics 14
- Web Data Mining and Analysis 13
- Research Data Management Practices 10
- Co-authors
- Andrea Scharnhorst (5 shared papers)Isabella Peters (7 shared papers)Peter Mutschke (8 shared papers)Nicholas Fraser (4 shared papers)Dirk Lewandowski (1 shared paper)Vivien Petras (7 shared papers)Guillaume Cabanac (12 shared papers)Ingo Frommholz (11 shared papers)
- Journals
- Scientometrics (11 papers)ACM SIGIR Forum (10 papers)International Journal on Digital Libraries (5 papers)Quantitative Science Studies (3 papers)Online Information Review (2 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Philipp Mayr
80 papers receiving 724 citations
Philipp Mayr's Hit Papers
Peers
Comparison fields: 5 of 131
- Statistics, Probability and Uncertainty 195
- Information Systems and Management 109
- Information Systems 267
- Artificial Intelligence 231
- Communication 39
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-authors
The 25 scholars most cited alongside Philipp Mayr, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 121 | |
| 2 | 2007 | 73 | |
| 3 | 2020 | 63 | |
| 4 | 2011 | 37 | |
| 5 | 2006 | 35 | |
| 6 | 2022 | 25 | |
| 7 | Reference coverage analysis of OpenAlex compared to Web of Science and Scopus Hit paper breakdown → | 2025 | 24 |
| 8 | 2013 | 23 | |
| 9 | 2020 | 22 | |
| 10 | 2022 | 20 | |
| 11 | 2015 | 17 | |
| 12 | 2014 | 15 | |
| 13 | 2008 | 15 | |
| 14 | 2017 | 15 | |
| 15 | 2007 | 15 | |
| 16 | 2021 | 14 | |
| 17 | 2019 | 14 | |
| 18 | 2022 | 13 | |
| 19 | 2018 | 13 | |
| 20 | 2015 | 10 |
About Philipp Mayr
Philipp Mayr is a scholar working on Artificial Intelligence, Information Systems, Statistics, Probability and Uncertainty, Management Science and Operations Research and Molecular Biology, having authored 100 papers that have together received 806 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (32 papers), scientometrics and bibliometrics research (20 papers), Data Quality and Management (14 papers), Web visibility and informetrics (14 papers), Topic Modeling (14 papers), Web Data Mining and Analysis (13 papers), Biomedical Text Mining and Ontologies (11 papers) and Research Data Management Practices (10 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (195 citations), Information Systems and Management (109 citations), Information Systems (267 citations), Artificial Intelligence (231 citations) and Communication (39 citations). Philipp Mayr has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Andrea Scharnhorst, Isabella Peters, Peter Mutschke, Nicholas Fraser, Dirk Lewandowski, Vivien Petras, Guillaume Cabanac, Ingo Frommholz, York Sure and Philipp Schaer. Their work appears in journals such as Scientometrics, ACM SIGIR Forum, International Journal on Digital Libraries, Quantitative Science Studies and Online Information Review.
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.