Tabea-Clara Bucher

Also affiliated with Heidelberg University

Computer ScienceMedicineBiochemistry, Genetics and Molecular Biology

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

1in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 1 indexed paper attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

Papers

Driven by 2 papers. Top paper: “Pathologist-like explainable AI for interpretable Gleason grading in prostate cancer”.

Pathologist-like explainable AI for interpretable Gleason grading in prostate cancer

Nature Communications(2025)10.1038/s41467-025-64712-4

N/A

0.312DataRank · unranked

7 citations

Sara Laiouar-Pedari, Hendrik A. Mehrtens, Sarah Haggenmüller, Tabea-Clara Bucher, Tirtha Chanda +62 more

scikit-learn Pipelines Meet Knowledge Graphs

Lecture Notes in Computer Science(2021)10.1007/978-3-030-80418-3_2

N/A

0.292DataRank · unranked

6 citations

Xuehui Jiang, Ole Meyer, Stephan Waitz, Sven Hertling, Heiko Paulheim +1 more