Hartel, R., &; Dunst, A. (2021). An OCR Pipeline and Semantic Text Analysis for Comics. In MANPU 2020: The 4th International Workshop on coMics ANalysis, Processing and Understanding@Pattern Recognition. ICPR International Workshops and Challenges. Cham.https://doi.org/10.1007/978-3-030-68780-9_19 
LibreCat: /record/21378
DOI: 10.1007/978-3-030-68780-9_19

Dunst, A., &; Hartel, R. (2021). Computing Literary Surplus Value: Alan Moore and the Density of the Comic Book as Graphic Novel. Anglia, 139(1), 195–223.https://doi.org/10.1515/ang-2021-0010 
LibreCat: /record/23466
DOI: 10.1515/ang-2021-0010

Böttcher, S., Hartel, R., &; Peeters, S. (2020). QSGG: query simulation in grammar-compressed graphs. In Proceedings of The International Workshop on Semantic Big Data.https://doi.org/10.1145/3391274.3393638 
LibreCat: /record/18038
DOI: 10.1145/3391274.3393638

Böttcher, S., Hartel, R., &; Peeters, S. (2020). Pattern Search in Grammar-Compressed Graphs. In 2020 Data Compression Conference (DCC) (Poster).https://doi.org/10.1109/dcc47342.2020.00054 
LibreCat: /record/18039
DOI: 10.1109/dcc47342.2020.00054

Hartel, R., &; Dunst, A. (2019). How Good Is Good Enough? Establishing Quality Thresholds for the Automatic Text Analysis of Retro-Digitized Comics. In International Conference on Multimedia Modeling, MMM (pp. 662–671). Thessaloniki, Greece: Springer.https://doi.org/10.1007/978-3-030-05716-9_59 
LibreCat: /record/15080
DOI: 10.1007/978-3-030-05716-9_59

Dunst, A., &; Hartel, R. (2019). Multimodale Stilometrie: Herausforderungen und Potenzial kombinatorischer Bild- und Textanalysen am Beispiel Comics. In DHd Konferenz 2019, multimedial und multimodal.
LibreCat: /record/15182

Dunst, A., &; Hartel, R. (2019). Quantifying Complexity in Multimodal Media: AlanMoore and the “Density” of the Graphic Novel. In Digital Humanities, DH 2019.
LibreCat: /record/15186

Böttcher, S., &; Hartel, R. (2018). RECUT: RE-Compressing partially Unordered Trees. In 2018 IEEE International Conference on Big Data (Big Data) (pp. 3996–4005).https://doi.org/10.1109/bigdata.2018.8622261 
LibreCat: /record/15081
DOI: 10.1109/bigdata.2018.8622261

Dunst, A., &; Hartel, R. (2018). Automated Genre and Author Distinction in Comics: Towards a Stylometry for Visual Narrative. In Digital Humanities 2018: Book of Abstracts/Libro de resúmenes (pp. 184–187). Red de Humanidades Digitales AC.
LibreCat: /record/15082

Dunst, A., &; Hartel, R. (2018). The quantitative analysis of comics: Towards a visual stylometry of graphic narrative. In A. Dunst, J. Laubrock, &; J. Wildfeuer (Eds.), Empirical Comics Research: Digital, Multimodal, and Cognitive Methods (pp. 43–61). Routledge.
LibreCat: /record/15160