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  1. Zhitomirsky-Geffet, M. and Suissa O. (2023). AI-Based Research Tool for Large Genealogical Corpora: The Case of Jewish Communities Worldwide. In ASIS&T conference, October 31th, 2023, London, UK

  2. Ben-Gigi, Nati; Katzoff, Binyamin; Schler, Jonathan; Zhitomirsky-Geffet, Maayan.  (2022). “Global and local citation networks as a new paradigm for multiple viewpoint investigation in historical literature: a case study of the Rabbinic literature corpus”. Digital Humanities Conference, Tokyo, 25-29/7/2022

  3. Maayan Zhitomirsky-Geffet, Jonathan Schler, Binyamin Katzoff and Nati Ben Gigi. (2022). “Investigating Inter-Sage Influences in the Responsa Literature through the Prism of Citation Networks”. The 18th World Congress of Jewish Studies, Jerusalem, 8-12/8/2022

  4. Nati Ben Gigi, Maayan Zhitomirsky-Geffet, Jonathan Schler and Binyamin Katzoff. (2021). “Uncovering a cross-generation social network of Jewish scholars and their learnings in the Responsa literature". DHJewish, Luxemburg, 2021


  1. Ben-Gigi, N., M. Zhitomirsky-Geffet, J. Schler, B. Katzoff. (2024) Automatic construction of the citation network from the medieval Jewish Responsa literature. Journal on Computing and Cultural Heritage.

  2. Suissa, O., Elmalech, A. and Zhitomirsky-Geffet M. (2023). Around the GLOBE: Numerical Aggregation Question-Answering on Heterogeneous Genealogical Knowledge Graphs with Deep Neural Networks. ACM Journal of Computing and Cultural Heritage.

  3. Suissa, O., Zhitomirsky-Geffet, M. and Elmalech, A. (2023). Question Answering with Deep Neural Networks for Semi-Structured Heterogeneous Genealogical Knowledge Graphs, Semantic Web Journal, 14(2), 209-237. DOI:10.3233/SW-222925

  4. Zhitomirsky-Geffet, M., Kizhner, I. and Minster, S. (2023), "What do they make us see: a comparative study of cultural bias in online databases of two large museums", Journal of Documentation, Vol. 79 No. 2, pp. 320-340.

  5. Zadok, Avital; Zhitomirsky-Geffet, Maayan; Schler, Jonathan; Katzoff, Binyamin, (2023). Comparative network analysis as a new approach to the editorship profiling task: A case study of the Mishnah and Tosefta from Rabbinic literature, Digital Scholarship in the Humanities, Oxford University Press.

  6. Zhitomirsky-Geffet, M. and Minster, S. (2022). Cultural information bubbles: a new approach for automatic ethical evaluation of digital artwork collections based on Wikidata. Digital Scholarship in the Humanities. Oxford Academic.

  7. Suissa, O., Elmalech, A. and Zhitomirsky-Geffet M. (2021). Text Analysis Using Deep Neural Networks in Digital Humanities and Information Science, Journal of Association for Information Science and Technology, 73(2), 268-287.

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