Address

Hamburg University of Applied Sciences
Department of Information, Media and Communication
Finkenau 35
22081 Hamburg
Room 273

Contact Information

Email: nurce.yagci@haw-hamburg.de

Nurce Yagci

Researcher

Nurce Yagci, M.A., was a researcher at the Department of Information at the Hamburg University of Applied Sciences. Her research focused on the evaluation of search engines and developing software for automated web data processing.

Nurce successfully completed her master’s degree in Information, Media, Library in September 2023 at the Hamburg University of Applied Sciences.

Publications

Articles in refereed journals

Schultheiß, S.; Lewandowski, D.; Mach, S.; Yagci, N. (2023). Query sampler: generating query sets for analyzing search engines using keyword research tools. PeerJ Computer Science. https://doi.org/10.7717/peerj-cs.1421

Articles in proceedings

Schultheiß, S.; Sünkler, S.; Yagci, N.; Sygulla, D.; von Mach, S.; Lewandowski, D.; (2023). Simplify your Search Engine Research : wie das Result Assessment Tool (RAT) Studien auf der Basis von Suchergebnissen unterstützt. In: Proceedings des 17. Internationalen Symposiums für Informationswissenschaft (ISI 2023), 429-437. PDF proceedings; PDF article

Sünkler, S.; Yagci, N.; Sygulla, D.; von Mach, S.; Schultheiß, S.; Lewandowski, D.; (2023). Result Assessment Tool (RAT): Software-Toolkit für die Durchführung von Studien auf der Grundlage von Suchergebnissen. In: Proceedings des 17. Internationalen Symposiums für Informationswissenschaft (ISI 2023), 438-444. PDF proceedings ; PDF article

Schultheiß, S.; Sünkler, S.; Yagci, N.; Sygulla, D.; von Mach, S.; Lewandowski, D.; (2023). Result Assessment Tool (RAT): A Software Toolkit for Conducting Studies Based on Search Results. In: Proceedings of the Association for Information Science and Technology https://doi.org/10.1002/pra2.972

Sünkler, S., Yagci, N., Sygulla, D., von Mach, S., Schultheiß, S. Lewandowski, D. (2022). Result Assessment Tool (RAT). Informationswissenschaft im Wandel. Wissenschaftliche Tagung 2022 (IWWT22), Düsseldorf. PDF proceedings; PDF article

Yagci, N.; Sünkler, S.; Häußler, H.; Lewandowski, D. (2022).
A Comparison of Source Distribution and Result Overlap in Web Search Engines. Proceedings of the Association for Information Science and Technology, 59(1), 346-357. https://doi.org/10.1002/pra2.758

Lewandowski, D.; Sünkler, S.; Yagci, N. (2021). The Influence of search engine optimization on Google’s results: A multidimensional approach for detecting SEO. 13th ACM Web Science Conference, 2021. https://doi.org/10.1145/3447535.3462479

Education

  1. 2023

    Master of Arts (Media, Information, Library)

    Hamburg University of Applied Sciences
  2. 2018

    Bachelor of Arts (Media and Information)

    Hamburg University of Applied Sciences