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Results: 51
Number of items: 51
  • Open Access
    Franceschet, M., & Colavizza, G. (2020). Quantifying the higher-order influence of scientific publications. Scientometrics, 125(2), 951–963. https://doi.org/10.1007/s11192-020-03580-9
  • Open Access
    Waltman, L., Boyack, K. W., Colavizza, G., & van Eck, N. J. (2020). A principled methodology for comparing relatedness measures for clustering publications. Quantitative Science Studies, 1(2), 691-713. https://doi.org/10.1162/qss_a_00035
  • Open Access
    Colavizza, G. (2020). Are We Breaking the Social Contract? Journal of cultural analytics, 5(1). https://doi.org/10.22148/001c.11828
  • Open Access
    Daquino, M., Peroni, S., Shotton, D., Colavizza, G., Ghavimi, B., Lauscher, A., Mayr, P., Romanello, M., & Zumstein, P. (2020). The OpenCitations Data Model. In J. Z. Pan, V. Tamma, C. d’Amato, K. Janowicz, B. Fu, A. Polleres, O. Seneviratne, & L. Kagal (Eds.), The Semantic Web – ISWC 2020 : 19th International Semantic Web Conference Athens, Greece, November 2–6, 2020 : Proceedings (Vol. II, pp. 447-463). (Lecture Notes in Computer Science; Vol. 12507). Springer. https://doi.org/10.1007/978-3-030-62466-8_28
  • Open Access
    Lazzari, G., Colavizza, G., Bortoluzzi, F., Drago, D., Erboso, A., Zugno, F., Kaplan, F., & Salathé, M. (2020). A digital reconstruction of the 1630–1631 large plague outbreak in Venice. Scientific Reports, 10, Article 17849. https://doi.org/10.1038/s41598-020-74775-6
  • Open Access
    Todorov, K., & Colavizza, G. (2020). Transfer Learning for Historical Corpora: An Assessment on Post-OCR Correction and Named Entity Recognition. In F. Karsdorp, M. McGillivray, A. Nerghes, & M. Wevers (Eds.), Proceedings of the Workshop on Computational Humanities Research (CHR 2020): Amsterdam, the Netherlands, November 18-20, 2020 (pp. 310-339). (CEUR Workshop Proceedings; Vol. 2723). CEUR-WS. http://ceur-ws.org/Vol-2723/long32.pdf
  • Open Access
    Colavizza, G. (2020). COVID-19 research in Wikipedia. Quantitative Science Studies, 1(4), 1349-1380. https://doi.org/10.1162/qss_a_00080
  • Open Access
    The Alan Turing Institute, Humanities and data science special interest group (2020). The challenges and prospects of the intersection of humanities and data science: A White Paper from The Alan Turing Institute. The Alan Turing Institute. https://doi.org/10.6084/M9.FIGSHARE.12732164
  • Open Access
    Spinaci, G., Colavizza, G., & Peroni, S. (2020). Preliminary Results on Mapping Digital Humanities Research. In C. Marras, M. Passarotti, G. Franzini, & E. Litta (Eds.), La svolta inevitabile: sfide e prospettive per l'Informatica Umanistica: Atti del IX Convegno Annuale dell'Associazione per l'Informatica Umanistica e la Cultura Digitale (AIUCD) : 15-17 gennaio 2020, Milano, Università Cattolica del Sacro Cuore (pp. 246-252). (Quaderni di Umanistica Digitale. Supplement). Associazione per l'Informatica Umanistica e la Cultura Digitale. https://doi.org/10.6092/unibo/amsacta/6316
  • Open Access
    Piccardi, T., Redi, M., Colavizza, G., & West, R. (2020). Quantifying Engagement with Citations on Wikipedia. In The Web Conference 2020: Proceedings of The World Wide Web Conference WWW 2020 : April 20–24, 2020 Taipei, Taiwan (pp. 2365-2376). International World Wide Web Conference Committee. https://doi.org/10.1145/3366423.3380300
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