Dr. Philipp Mayr

Wissenstechnologien für Sozialwissenschaften
Information & Data Retrieval
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Design of a Sciento-text Computational Framework for Retrieval and Contextual Recommendations of High Quality Scholarly Articles (Sciento-text)

Bearbeitung: Behnam Ghavimi, Wolfgang Otto
Leitung: Dr. Philipp Mayr
Wissenschaftlicher Arbeitsbereich: Abt. Wissenstechnologien für Sozialwissenschaften (WTS)

Projektbeschreibung

Leider existiert diese Beschreibung nur in der englischen Version!

Gefördert durch

  • DST - DAAD Project-based Personnel Exchange Programme (PPP)

Partner

  • Dr. Vivek Kumar Singh (Banaras Hindu University)

Publikationen

  • Banshal, S. K., Singh, V. K., Muhuri, P., & Mayr, P. (2019). Disciplinary Variations in Altmetric Coverage of Scholarly Articles. Proceedings of the 17th International Conference on Scientometrics & Informetrics (ISSI 2019).
  • Banshal, S. K., Singh, V. K., & Mayr, P. (2019). Comparing research performance of private universities in India with IITs, central universities and NITs. Current Science, 116(8), 1304–1313. https://doi.org/10.18520/cs/v116/i8/1304-1313
  • Otto, W., Ghavimi, B., Mayr, P., Piryani, R., & Singh, V. K. (2019). Highly cited references in PLOS ONE and their in-text usage over time. Proceedings of the 17th International Conference on Scientometrics & Informetrics (ISSI 2019). https://arxiv.org/abs/1903.11693