CORE mentioned in a Nature article on AI technology for scientific literature

Drahomira Herrmannova successfully passes her PhD viva

WOSP2017 - Touchdown Toronto

KMi Researchers Win the Best Poster Award at JCDL 2016

CORE wins Best Poster Award at the Open Repositories Conference #OR2016

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)

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