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Daniel Martens

4 papers hereh-index 6271 citations8 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.SE3
  • cs.IR1

identity via Semantic Scholar / OpenAlex

most citedTowards Understanding and Detecting Fake Reviews in App Stores

137 citations · 137 across the 3 of their papers we have counts for

collaborators

4 papers

cs.SE2019

Extracting and Analyzing Context Information in User-Support Conversations on Twitter

Daniel Martens, Walid Maalej

While many apps include built-in options to report bugs or request features, users still provide an increasing amount of feedback via social media, like Twitter. Compared to tradit…

cs.SE2019

Release early, release often, and watch your users' emotions

Daniel Martens, Walid Maalej

App stores are highly competitive markets, sometimes offering dozens of apps for a single use case. Unexpected app changes such as a feature removal might incite even loyal users t…

cs.IR2019★ 137 cited

Towards Understanding and Detecting Fake Reviews in App Stores

Daniel Martens, Walid Maalej

App stores include an increasing amount of user feedback in form of app ratings and reviews. Research and recently also tool vendors have proposed analytics and data mining solutio…

cs.SE2017

On the Emotion of Users in App Reviews

Daniel Martens, Timo Johann

App store analysis has become an important discipline in recent software engineering research. It empirically studies apps using information mined from their distribution platforms…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.