Philipp Graf
Impact in
- Aquatic Science top 2%
- Seaweed-derived Bioactive Compounds
- Echinoderm biology and ecology
- Developmental Neuroscience top 10%
Papers in
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- Social Robot Interaction and HRI 9
-
- AI in Service Interactions 5
- Advanced Software Engineering Methodologies 4
- Co-authors
- Andreas Taubert (8 shared papers)Alexandre Mantion (7 shared papers)Andreas F. Thünemann (5 shared papers)Andreas Luch (6 shared papers)Andrea Haase (6 shared papers)Wolfgang Meier (5 shared papers)Johanna Plendl (4 shared papers)Eva Prieschl‐Grassauer (10 shared papers)
- Journals
- PLoS ONE (3 papers)International Journal of Molecular Sciences (2 papers)European Journal of Immunology (2 papers)ACS Nano (2 papers)Experimental Dermatology (1 paper)
- Partner nations
- GermanySwitzerlandAustria
In The Last Decade
Philipp Graf
44 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 151
- Aquatic Science 171
- Developmental Neuroscience 47
- Materials Chemistry 406
- Software 33
- General Dentistry 12
Countries citing papers authored by Philipp Graf
This map shows the geographic impact of Philipp Graf'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 Graf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philipp Graf more than expected).
Fields of papers citing papers by Philipp Graf
This network shows the impact of papers produced by Philipp Graf. 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 Graf. The network helps show where Philipp Graf may publish in the future.
Co-authors
The 25 scholars most cited alongside Philipp Graf, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 208 | |
| 2 | 2010 | 153 | |
| 3 | 2021 | 89 | |
| 4 | 2009 | 81 | |
| 5 | 2011 | 77 | |
| 6 | 2011 | 74 | |
| 7 | 2010 | 58 | |
| 8 | 2003 | 57 | |
| 9 | 2011 | 51 | |
| 10 | 2015 | 42 | |
| 11 | 2006 | 40 | |
| 12 | 2021 | 34 | |
| 13 | 2012 | 29 | |
| 14 | 2018 | 27 | |
| 15 | 2021 | 25 | |
| 16 | 2020 | 24 | |
| 17 | 2004 | 21 | |
| 18 | 2007 | 20 | |
| 19 | 2002 | 19 | |
| 20 | 2022 | 12 |
About Philipp Graf
Philipp Graf is a scholar working on Social Psychology, Artificial Intelligence, Materials Chemistry, Software and Human-Computer Interaction, having authored 48 papers that have together received 1.3k indexed citations. Recurring topics across this work include Social Robot Interaction and HRI (9 papers), Model-Driven Software Engineering Techniques (7 papers), AI in Service Interactions (5 papers), Advanced Software Engineering Methodologies (4 papers), Immunotherapy and Immune Responses (4 papers), Nanocluster Synthesis and Applications (4 papers), Innovative Human-Technology Interaction (4 papers) and T-cell and B-cell Immunology (3 papers). The work is most often cited by research in Aquatic Science (171 citations), Developmental Neuroscience (47 citations), Materials Chemistry (406 citations), Software (33 citations) and General Dentistry (12 citations). Philipp Graf has collaborated with scholars based in Germany, Switzerland and Austria. Frequent co-authors include Andreas Taubert, Alexandre Mantion, Andreas F. Thünemann, Andreas Luch, Andrea Haase, Wolfgang Meier, Johanna Plendl, Eva Prieschl‐Grassauer, Andreas Grassauer and Admir Mašić. Their work appears in journals such as PLoS ONE, International Journal of Molecular Sciences, European Journal of Immunology, ACS Nano and Experimental Dermatology.
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.