Philipp Mayr

2.2k total citations · 1 hit paper
100 papers, 776 citations indexed

About

Philipp Mayr is a scholar working on Artificial Intelligence, Information Systems and Statistics, Probability and Uncertainty. According to data from OpenAlex, Philipp Mayr has authored 100 papers receiving a total of 776 indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Artificial Intelligence, 45 papers in Information Systems and 20 papers in Statistics, Probability and Uncertainty. Recurrent topics in Philipp Mayr's work include Semantic Web and Ontologies (32 papers), scientometrics and bibliometrics research (20 papers) and Topic Modeling (14 papers). Philipp Mayr is often cited by papers focused on Semantic Web and Ontologies (32 papers), scientometrics and bibliometrics research (20 papers) and Topic Modeling (14 papers). Philipp Mayr collaborates with scholars based in Germany, United States and United Kingdom. Philipp Mayr's co-authors include Andrea Scharnhorst, Isabella Peters, Peter Mutschke, Nicholas Fraser, Dirk Lewandowski, Vivien Petras, Ingo Frommholz, Guillaume Cabanac, Philipp Schaer and York Sure and has published in prestigious journals such as PLoS ONE, Scientometrics and Information Processing & Management.

In The Last Decade

Philipp Mayr

80 papers receiving 692 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Reference coverage analysis of OpenAlex compared to Web of Science and Scopus

2025 18 citations Philipp Mayr et al. Scientometrics profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Philipp Mayr	266	231	200	107	63	100	776
Giovanni Colavizza	233 0.9×	234 1.0×	172 0.9×	131 1.2×	72 1.1×	61	814
Wei Lu	185 0.7×	409 1.8×	194 1.0×	66 0.6×	86 1.4×	97	941
Jean Tague‐Sutcliffe	464 1.7×	281 1.2×	149 0.7×	86 0.8×	33 0.5×	15	944
Miranda Lee Pao	207 0.8×	142 0.6×	292 1.5×	70 0.7×	53 0.8×	23	860
Jin Mao	130 0.5×	207 0.9×	127 0.6×	37 0.3×	66 1.0×	56	595
Ying Ding	220 0.8×	223 1.0×	469 2.3×	141 1.3×	87 1.4×	43	1.1k
Alireza Noruzi	268 1.0×	74 0.3×	140 0.7×	94 0.9×	22 0.3×	61	676
Raf Guns	287 1.1×	139 0.6×	669 3.3×	140 1.3×	87 1.4×	82	1.2k
Wolfgang Glänzel	176 0.7×	146 0.6×	426 2.1×	43 0.4×	70 1.1×	14	843

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-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

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20 of 20 papers shown

Смирнова, Н. В., et al.. (2024). The emergence of preprints: comparing publishing behaviour in the Global South and the Global North. Online Information Review. 49(8). 1–22. 2 indexed citations

Lathabai, Hiran H., et al.. (2024). Patterns in the Growth and Thematic Evolution of Artificial Intelligence Research: A Study Using Bradford Distribution of Productivity and Path Analysis. International Journal of Intelligent Systems. 2024. 1–26. 6 indexed citations

Mayr, Philipp, et al.. (2024). Comparing free reference extraction pipelines. International Journal on Digital Libraries. 25(4). 841–853.

Zhang, Yi, Chengzhi Zhang, Philipp Mayr, Arho Suominen, & Ying Ding. (2023). An editorial of “AI + informetrics”: Robust models for large-scale analytics. Information Processing & Management. 61(1). 103495–103495. 2 indexed citations

Mayr, Philipp, et al.. (2023). Investigating the contribution of author- and publication-specific features to scholars’ h-index prediction. EPJ Data Science. 12(1). 1 indexed citations

Dietze, Stefan, et al.. (2023). Which factors are associated with Open Access publishing? A Springer Nature case study. Quantitative Science Studies. 4(2). 353–371. 4 indexed citations

Zhang, Chengzhi, Yi Zhang, Philipp Mayr, et al.. (2023). JCDL2023 Workshop: Joint Workshop of the 4th Extraction and Evaluation of Knowledge Entities from Scientific Documents (EEKE2023) and the 3rd AI + Informetrics (AII2023). 306–307.

Roy, Dwaipayan, et al.. (2023). Retrievability in an integrated retrieval system: an extended study. International Journal on Digital Libraries. 25(2). 287–301.

Karimi, Fariba, et al.. (2022). The many facets of academic mobility and its impact on scholars' career. Journal of Informetrics. 16(2). 101280–101280. 22 indexed citations

10.

Fraser, Nicholas, et al.. (2020). The relationship between bioRxiv preprints, citations and altmetrics. Quantitative Science Studies. 1(2). 618–638. 60 indexed citations

11.

Flatt, Justin W., et al.. (2020). Tracking self-citations in academic publishing. Scientometrics. 123(2). 1157–1165. 21 indexed citations

12.

Mayr, Philipp, et al.. (2019). Highly cited references in PLOS ONE and their in-text usage over time.. arXiv (Cornell University). 1531–1536. 1 indexed citations

13.

Fraser, Nicholas, et al.. (2019). Examining the citation and altmetric advantage of bioRxiv preprints.. ZBW Publication Archive (ZBW – Leibniz Information Centre for Economics). 667–672. 1 indexed citations

14.

Mayr, Philipp. (2016). How do Practitioners, PhD Students and Postdocs in the Social Sciences Assess Topic-specific Recommendations?. Social Science Open Access Repository (GESIS – Leibniz Institute for the Social Sciences). 1610. 84–92. 1 indexed citations

15.

Kern, Dagmar, Peter Mutschke, & Philipp Mayr. (2014). Establishing an online access panel for interactive information retrieval research. 473–474. 1 indexed citations

16.

Mayr, Philipp, et al.. (2012). Automatische Referenzextraktion mit PARSCIT. Web Science. 3.

17.

Mayr, Philipp, Peter Mutschke, Vivien Petras, Philipp Schaer, & York Sure. (2011). Applying science models for search. Ingénierie des systèmes d information. 58. 184–196.

18.

Mayr, Philipp, et al.. (2006). Abdeckung und Aktualität des Suchdienstes Google Scholar. 57(3). 3 indexed citations

19.

Mayr, Philipp, et al.. (2006). Allgemeiner Bibliothekszugang und Varianten der Suchtypologie - Konsequenzen für die Modellbildung in vascoda: Version 1. Social Science Open Access Repository (GESIS – Leibniz Institute for the Social Sciences). 38. 52. 1 indexed citations

20.

Mayr, Philipp, et al.. (2005). Webometrische Analysen mit Hilfe der Google Web APIs. E-LIS Repository (University of Naples Federico II). 56(1). 41–48. 6 indexed citations

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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