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 

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 

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 

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 

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 

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

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

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 

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.

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.

Dunst, A., &; Hartel, R. (2018). Auf dem Weg zur Visuellen Stilometrie:Automatische Genre- und Autorunterscheidung in graphischen Narrativen. In DHd Konferenz 2018, Kritik der digitalen Vernunft, DHd 2018.

Dunst, A., &; Hartel, R. (2017). Corpora and Complex Networks as Cultural Critique: Investigating Race and Gender Bias in Graphic Narratives. In Digital Humanities 2017, DH 2017, Conference Abstracts.

Dunst, A., Hartel, R., &; Laubrock, J. (2017). The Graphic Narrative Corpus (GNC): Design, Annotation, and Analysis for the Digital Humanities. In nd International Workshop on coMics Analysis, Processing, and Understanding, 14th IAPR International Conference on Document Analysis and Recognition, ICDAR (Vol. 3, pp. 15–20). IEEE.https://doi.org/10.1109/icdar.2017.286 

Böttcher, S., Hartel, R., &; Manuel, J. (2017). A column-oriented text database API implemented on top of wavelet tries. In DBKDA 2017.

Böttcher, S., Hartel, R., &; Wolters, D. (2016). CX: From relational data via SQL/XML to (Un-)Compressed XML. Information Systems, 56, 198–213.https://doi.org/10.1016/j.is.2015.09.011 

Dunst, A., Hartel, R., Hohenstein, S., &; Laubrock, J. (2016). Corpus Analyses of Multimodal Narrative: The Example of Graphic Novels. In Digital Humanities 2016, DH 2016, Conference Abstracts (pp. 178–180).

Böttcher, S., Hartel, R., Jacobs, T., &; Maneth, S. (2016). Incremental updates on compressed XML. In 2016 IEEE 32nd International Conference on Data Engineering (ICDE) (pp. 1026–1037). IEEE.https://doi.org/10.1109/icde.2016.7498310 

Dunst, A., &; Hartel, R. (2016). Die Corpusanalyse multimodaler Erzählungen am Beispiel graphischer Romane. In DHd-Tagung 2015, Modellierung - Vernetzung - Visualisierung, Die Digital Humanities als fächerübergreifendes Forschungsparadigma.

Böttcher, S., Hartel, R., Jacobs, T., &; Maneth, S. (2015). OnlineRePair: A Recompressor for XML Structures. In 2015 Data Compression Conference (p. 439). Springer.https://doi.org/10.1109/dcc.2015.58 

Böttcher, S., Hartel, R., Jacobs, T., &; Jeromin, M. (2015). ECST – Extended Context-Free Straight-Line Tree Grammars. In Data Science - 30th British International Conference on Databases, BICOD 2015 (pp. 186–198). Springer.https://doi.org/10.1007/978-3-319-20424-6_18