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Drahomira Herrmannova Member status icon

PhD Research Student
Drahomira Herrmannova Photograph

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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


02 Jan 2018

19 Jul 2017

11 Jul 2016

23 Jun 2016

04 Apr 2016

View all 9 Articles



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. and Patton, R. (2018) Do Citations and Readership Identify Seminal Publications?, Scientometrics


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

Publications | Download PDF  

Herrmannova, D. and Knoth, P. (2016) Towards full-text based research metrics: Exploring semantometrics: Report of Experiments, Jisc repository, Jisc, Jisc Report 6376

View all 18 publications

Tech Reports

View AbstractDownload PDF

Mining Research Publication Networks for Impact
Techreport ID: kmi-14-01
Date: 2014
Author(s): Drahomira Herrmannova

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Knowledge Media Institute
The Open University
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United Kingdom

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