Philipp Singer

1.1k citations
41 papers · 468 · h-index 13

Impact in

Papers in

Philipp Singer

40 papers receiving 450 citations

Peers

Philipp Singer
Comparison fields: 5 of 89
  • Communication 64
  • Statistical and Nonlinear Physics 106
  • Transportation 53
  • Artificial Intelligence 189
  • Information Systems 120
Replace Mahmud Hasan with:
Mahmud Hasan Australia
Zhi-Dan Zhao China
George Valkanas Greece
Andrew Lampert Australia
Yafeng Lu United States
Onur Küçüktunç United States
Krishna Kamath United States
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Citations per field
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Citations per year

Countries citing papers authored by Philipp Singer

Since Specialization
Citations

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

Fields of papers citing papers by Philipp Singer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Philipp Singer, 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 Singer Line = papers co-authored together Philipp Singer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202176
2 201469
3 201440
4 201625
5 201619
6 201319
7 201318
8 201417
9 201417
10 201216
11 201516
12 201413
13 201513
14 201412
15 201610
16
Memory and Structure in Human Navigation Patterns.
20148
17 20157
18 20176
19 20146
20 20156

About Philipp Singer

Philipp Singer is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics, Information Systems, Transportation and Signal Processing, having authored 41 papers that have together received 468 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (16 papers), Human Mobility and Location-Based Analysis (9 papers), Data Management and Algorithms (8 papers), Opinion Dynamics and Social Influence (8 papers), Semantic Web and Ontologies (7 papers), Web Data Mining and Analysis (6 papers), Topic Modeling (6 papers) and Natural Language Processing Techniques (4 papers). The work is most often cited by research in Communication (64 citations), Statistical and Nonlinear Physics (106 citations), Transportation (53 citations), Artificial Intelligence (189 citations) and Information Systems (120 citations). Philipp Singer has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include Markus Strohmaier, Claudia Wagner, Denis Helić, Behnam Taraghi, Andreas Hotho, Florian Lemmerich, Martin Becker, Bernardo A. Huberman, Mark A. Musen and Paul A. Johnson. Their work appears in journals such as PLoS ONE, ACM Transactions on the Web, International Journal of Human-Computer Studies, Applied Network Science and Journal of Biomedical Informatics.

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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