Caching and Reproducibility: Making Data Science Experiments Faster and FAIRer. - Moritz Schubotz; Ankit Satpute; André Greiner-Petter; Akiko Aizawa; Bela Gipp (Frontiers Res. Metrics Anal., 2022)

TEIMMA: The First Content Reuse Annotator for Text, Images, and Math. - Ankit Satpute; André Greiner-Petter; Moritz Schubotz; Norman Meuschke; Akiko Aizawa; Olaf Teschke; Bela Gipp (JCDL, 2023)

TEIMMA: The First Content Reuse Annotator for Text, Images, and Math. - Ankit Satpute; André Greiner-Petter; Moritz Schubotz; Norman Meuschke; Akiko Aizawa; Bela Gipp (CoRR, 2023)

Analyzing Mathematical Content for Plagiarism and Recommendations. - Ankit Satpute (ECIR (5), 2024)

Taxonomy of Mathematical Plagiarism. - Ankit Satpute; André Greiner-Petter; Noah Gießing; Isabel Beckenbach; Moritz Schubotz; Olaf Teschke; Akiko Aizawa; Bela Gipp (ECIR (4), 2024)

Can LLMs Master Math? Investigating Large Language Models on Math Stack Exchange. - Ankit Satpute; Noah Gießing; André Greiner-Petter; Moritz Schubotz; Olaf Teschke; Akiko Aizawa; Bela Gipp (SIGIR, 2024)

Reducing the climate impact of data portals: a case study. - Noah Gießing; Madhurima Deb; Ankit Satpute; Moritz Schubotz; Olaf Teschke (CoRR, 2024)