piwik-script

Deutsch Intern
    Data Science Chair

    Tobias Koopmann, M.Sc.

    Chair of Data Science (Informatik X)
    University of Würzburg
    Am Hubland
    97074 Würzburg
    Germany

    Email: koopmann@informatik.uni-wuerzburg.de

    Phone: (+49 931)  31 - 89363

    Office: Room 0.007 (Building M4)

    Fingerprint:  CBC7 EACE BBF3 8CF8 EB3F 3478 A5FB FAA7 8F34 AD4E

    Projects and Research Interests

    I joined the DMIR group for my PhD studies after receiving my masters degree in Computer Science at the university of Würzburg in early 2019. At first, i was working on click trail analysis and human behavior prediction in the web based on Wikipedia click trails. 

    Currently i am employed at the REGIO project. My contribution in the project is to analyse locally successful research cooperations based on different properties of the co-author network. For this we leverage the Bayesian approach HypTrails and apply it on graph- structured data. Additionally I am interested in state-of-the-art NLP research. 

    Current Thesis/Practica Topics

    Publications

    2021

    • Proximity dimensions and ... - Download
      Koopmann, T., Stubbemann, M., Kapa, M., Paris, M., Buenstorf, G., Hanika, T., Hotho, A., Jäschke, R., Stumme, G. (2021) “Proximity dimensions and the emergence of collaboration: a HypTrails study on German AI research”, Scientometrics, available: https://doi.org/10.1007/s11192-021-03922-1.
       

    2020

    • Stubbemann, M., Koopmann, T. (2020) “The German and International AI Network Data Set.”
       
    • Kobs, K., Koopmann, T., Zehe, A., Fernes, D., Krop, P., Hotho, A. (2020) “Where to Submit Helping Researchers to Choose the Right Venue”, in Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: Findings, Association for Computational Linguistics: Online, 878–883, available: https://www.aclweb.org/anthology/2020.findings-emnlp.78.
       

    2019

    • On the Right Track! Analy... - Download
      Koopmann, T., Dallmann, A., Hettinger, L., Niebler, T., Hotho, A. (2019) “On the Right Track! Analysing and Predicting Navigation Success in Wikipedia”, in Proceedings of the 30th ACM Conference on Hypertext and Social Media, HT ’19, ACM: Hof, Germany, 143–152, available: http://doi.acm.org/10.1145/3342220.3343650.