Drahomira HerrmannovaPhD Research Student
I joined KMi as an intern in October 2011. During my one year internship period I worked as a developer on the CORE project.
After finishing my internship I returned to KMi in October 2012 as a PhD Research Student. My research project aims at analysing research publication data sets to discover important properties and patterns. For example, to find new methods for predicting impact of publications and/or their authors in the research field.
Main goals of my research will include evaluating how the impact measures based on citations represent the importance of a paper, designing new methods for measuring impact that will address the current challenges in this area and analysing how the new measures and methods can be used in other disciplines such as information retrieval, exploratory search, digital libraries, etc.
My supervisors are Prof. Zdenek Zdrahal and Dr. Petr Knoth from KMi:
I also work on the OU Analyse project, which focuses on using machine learning techniques for improving student retention.
Keys: Scientometrics, Bibliometrics, Citation Analysis, Research Evaluation, Natural Language Processing
02 Jan 2018
19 Jul 2017
11 Jul 2016
23 Jun 2016
04 Apr 2016
Herrmannova, D., Knoth, P. and Patton, R. (2018) Analyzing Citation-Distance Networks for Evaluating Publication Impact, 11th edition of the Language Resources and Evaluation Conference (LREC 2018)
Herrmannova, D., Knoth, P., Stahl, C., Patton, R. and Wells, J. (2018) Text and Graph Based Approach for Analyzing Patterns of Research Collaboration: An analysis of the TrueImpactDataset, Miyazaki, Japan Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018), eds. Jana Diesner and Georg Rehm and Andreas Witt, European Language Resources Association (ELRA)
Herrmannova, D., Patton, R., Knoth, P. and Stahl, C. (2018) Do Citations and Readership Identify Seminal Publications?, Scientometrics, 115, 1, pp. 239-262, Springer Netherlands
Herrmannova, D., Patton, R., Knoth, P. and Stahl, C. (2017) Citations and readership are poor indicators of research excellence: Introducing TrueID, a new dataset for validating research evaluation metrics, Workshop: Scholarly Web Mining (SWM) at Tenth ACM International Conference on Web Search and Data Mining (WSDM2017)
Knoth, P. and Herrmannova, D. (2016) Exploring Semantometrics: full text-based research evaluation for open repositories, Open Repositories 2016, Dublin
Mining Research Publication Networks for Impact
Techreport ID: kmi-14-01
Author(s): Drahomira Herrmannova