Identifying and Improving Dataset References in Social Sciences Full Texts. - Behnam Ghavimi; Philipp Mayr 001; Sahar Vahdati; Christoph Lange 002 (ELPUB, 2016)

A semi-automatic approach for detecting dataset references in social science texts. - Behnam Ghavimi; Philipp Mayr 001; Christoph Lange 002; Sahar Vahdati; Sören Auer (Inf. Serv. Use, 2016)

Evaluating Reference String Extraction Using Line-Based Conditional Random Fields: A Case Study with German Language Publications. - Martin Körner; Behnam Ghavimi; Philipp Mayr 001; Heinrich Hartmann; Steffen Staab (ADBIS (Short Papers and Workshops), 2017)

An Evaluation of the Effect of Reference Strings and Segmentation on Citation Matching. - Behnam Ghavimi; Wolfgang Otto 002; Philipp Mayr 001 (TPDL, 2019)

Highly cited references in PLOS ONE and their in-text usage over time. - Wolfgang Otto 002; Behnam Ghavimi; Philipp Mayr 001; Rajesh Piryani; Vivek Kumar Singh 001 (ISSI, 2019)

EXCITE - A Toolchain to Extract, Match and Publish Open Literature References. - Azam Hosseini; Behnam Ghavimi; Dagmar Kern; Philipp Mayr 001 (JCDL, 2019)

EXmatcher: Combining Features Based on Reference Strings and Segments to Enhance Citation Matching. - Behnam Ghavimi; Wolfgang Otto 002; Philipp Mayr 001 (CoRR, 2019)

The OpenCitations Data Model. - Marilena Daquino; Silvio Peroni; David M. Shotton; Giovanni Colavizza; Behnam Ghavimi; Anne Lauscher; Philipp Mayr 001; Matteo Romanello; Philipp Zumstein (ISWC (2), 2020)