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Anja Feldmann
Researcher at Max Planck Society
Publications - 368
Citations - 18932
Anja Feldmann is an academic researcher from Max Planck Society. The author has contributed to research in topics: The Internet & Antigen. The author has an hindex of 67, co-authored 340 publications receiving 17422 citations. Previous affiliations of Anja Feldmann include Saarland University & AT&T.
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Proceedings ArticleDOI
Tracing the birth of an OSN: social graph and profile analysis in Google+
TL;DR: The findings underline the impact of peculiar aspects of Google+ such as Google's large initial user base taken over from other Google products and Google+'s provision for asymmetric friendships on its graph structure, especially in light of previously studied OSN graphs.
Book ChapterDOI
Pitfalls in HTTP traffic measurements and analysis
TL;DR: Based on passive traffic measurements of 20.000 European residential broadband customers, the potential error of three issues is quantified: Non-consideration of persistent or pipelined HTTP requests, mismatches between the Content-Type header field and the actual content, and mismatch between the content in the HTTP header and the actually transmitted volume.
Journal ArticleDOI
Versatile chimeric antigen receptor platform for controllable and combinatorial T cell therapy.
Anja Feldmann,Anja Hoffmann,Ralf Bergmann,Ralf Bergmann,Stefanie Koristka,Nicole Berndt,Claudia Arndt,Liliana R. Loureiro,Enrico Kittel-Boselli,Nicola Mitwasi,Alexandra Kegler,Chris Lamprecht,Karla Elizabeth González Soto,Michael Bachmann +13 more
TL;DR: It is demonstrated that RevCAR T cells efficiently kill tumor cells, can be steered by TMs, flexibly redirected against multiple targets, and used for combinatorial targeting following the “OR” and “AND” gate logic.
Proceedings ArticleDOI
On Landing and Internal Web Pages: The Strange Case of Jekyll and Hyde in Web Performance Measurement
TL;DR: The differences between landing and internal (i.e., non-root) pages of 1000 web sites are characterized to demonstrate that the structure and content of internal pages differ substantially from those of landing pages, as well as from one another.
Posted Content
The Dagstuhl Beginners Guide to Reproducibility for Experimental Networking Research
Vaibhav Bajpai,Anna Brunstrom,Anja Feldmann,Wolfgang Kellerer,Aiko Pras,Henning Schulzrinne,Georgios Smaragdakis,Matthias Wählisch,Klaus Wehrle +8 more
TL;DR: This guide provides advice to researchers, particularly those new to the field, on designing experiments so that their work is more likely to be reproducible and to serve as a foundation for follow-on work by others.