Member
Drahomira Herrmannova 
Research Associate
+44 (0)1908 652477
I joined KMi as an intern in October 2011. During my one year internship period I worked as a developer on the CORE project.
- http://core-project.kmi.open.ac.uk/about-core
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:
- http://kmi.open.ac.uk/people/member/zdenek-zdrahal
- http://kmi.open.ac.uk/people/member/petr-knoth
I also work on the OU Analyse project, which focuses on using machine learning techniques for improving student retention.
- http://analyse.kmi.open.ac.uk
Keys: Scientometrics, Bibliometrics, Citation Analysis, Research Evaluation, Natural Language Processing
Team: Lucas Anastasiou, Matteo Cancellieri, Martin Hlosta, Pavel Kefurt, Petr Knoth, Jakub Kuzilek, Samuel Pearce, Nancy Pontika, Zdenek Zdrahal
News
18 Sep 2018
02 Jan 2018
19 Jul 2017
11 Jul 2016
23 Jun 2016
Publications
Herrmannova, D., Knoth, P. and Patton, R. (2018) Analyzing Citation-Distance Networks for Evaluating Publication Impact, Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018), Miyazaki, Japan
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, Workshop: 1st Workshop on Computational Impact Detection from Text Data (CIDTD) at Language Resources and Evaluation Conference (LREC) 2018, Miyazaki, Japan, 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., Knoth, P., Stahl, C., Patton, R. and Wells, J. (2018) Research Collaboration Analysis Using Text and Graph Features, 19th International Conference on Computational Linguistics and Intelligent Text Processing, Hanoi, Vietnam Lecture Notes in Computer Science, Springer
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)
Tech Reports
Mining Research Publication Networks for Impact
Techreport ID: kmi-14-01
Date: 2014
Author(s): Drahomira Herrmannova
