Philipp Mayr

2.3k citations
131 papers · 1.1k · 1 hit paper · h-index 16

Impact in

Papers in

Philipp Mayr

111 papers receiving 1.0k citations

Philipp Mayr's Hit Papers

Reference coverage analysis of OpenAlex compared to Web of Science and Scopus 2025 · 38 citations
380Years since publication102030

Peers

Philipp Mayr
Comparison fields: 5 of 143
  • Statistics, Probability and Uncertainty 231
  • Information Systems and Management 139
  • Information Systems 386
  • Artificial Intelligence 357
  • Communication 55
Replace Qing Ke with:
Qing Ke China
Ying Ding China
Giovanni Colavizza Netherlands
Raf Guns Belgium
Andreas Strotmann Canada
Aliaksandr Birukou Italy
Siluo Yang China
Joachim Schöpfel France
Wei Lu China
Marta Poblet Spain
Philipp Mayr relative to Qing Ke China Qing Ke's profile →
Citations per field
00.5×1.5×2.2×
Qing Ke · 1×
Citations per year

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).

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.

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.

Border = papers with Philipp Mayr Line = papers co-authored together Philipp Mayr links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 131 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014139
2 200776
3 202068
4 201153
5 200642
6
Reference coverage analysis of OpenAlex compared to Web of Science and Scopus
Hit paper breakdown →
202538
7 201632
8 201332
9 202230
10 201528
11 202226
12 202023
13 201423
14
Comparing human and automatic thesaurus mapping approaches in the agricultural domain
200819
15 201817
16 201416
17 202416
18 202115
19 200815
20 201115

About Philipp Mayr

Philipp Mayr is a scholar working on Information Systems, Statistics, Probability and Uncertainty, Artificial Intelligence, Management Science and Operations Research and Information Systems and Management, having authored 131 papers that have together received 1.1k indexed citations. Recurring topics across this work include Semantic Web and Ontologies (34 papers), Web Data Mining and Analysis (24 papers), scientometrics and bibliometrics research (23 papers), Web visibility and informetrics (17 papers), Topic Modeling (17 papers), Data Quality and Management (17 papers), Information Retrieval and Search Behavior (16 papers) and Biomedical Text Mining and Ontologies (14 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (231 citations), Information Systems and Management (139 citations), Information Systems (386 citations), Artificial Intelligence (357 citations) and Communication (55 citations). Philipp Mayr has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Andrea Scharnhorst, Isabella Peters, Peter Mutschke, Philipp Schaer, Nicholas Fraser, Dirk Lewandowski, Ingo Frommholz, Guillaume Cabanac, Katrin Weller and York Sure. Their work appears in journals such as Scientometrics, ACM SIGIR Forum, Quantitative Science Studies, International Journal on Digital Libraries and Current Science.

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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