The topics associated to the KMi publications listed in this page were automatically generated using the CSO Classifier, a solution developed by the SKM3 team in KMi. This technology has also been adopted by Springer Nature and is used routinely by them to generate automatically the metadata for all Computer Science conference proceedings they publish.
Mendoza, Ó.E., Kusa, W., El-Ebshihy, A., Wu, R., Pride, D., Knoth, P., Herrmannova, D., Piroi, F., Pasi, G. and Hanbury, A. (2022). Benchmark for Research Theme Classification of Scholarly Documents. In: COLING 2022: 29th International Conference on Computational Linguistics, 12-17 Oct 2022, Gyeongju, South Korea. https://oro.open.ac.uk/94380/.
Knoth, P., Herrmannova, D., Cancellieri, M., Anastasiou, L., Pontika, N., Pearce, S., Gyawali, B. and Pride, D. (2023). CORE: A Global Aggregation Service for Open Access Papers. Scientific Data, 10(1), https://oro.open.ac.uk/89835/.
Kunnath, S.N., Herrmannova, D., Pride, D. and Knoth, P. (2022). A Meta-analysis of Semantic Classification of Citations. Quantitative Science Studies, 2(4), pp. 1170–1215. https://oro.open.ac.uk/79616/.
Kunnath, S.N., Pride, D., Herrmannova, D. and Knoth, P. (2021). Overview of the 2021 SDP 3C Citation Context Classification Shared Task. In: Second Workshop on Scholarly Document Processing (SDP), 10 Jun 2021, Mexico City, Mexico. https://oro.open.ac.uk/78314/.
Knoth, P., Kunnath, S.N., Gyawali, B., Pride, D., Stahl, C. and Herrmannova, D. (2020). 8th International Workshop on Mining Scientific Publications (WOSP 2020). In: ACM/IEEE Joint Conference on Digital Libraries in 2020 (JCDL ’20), 1-5 Aug 2020, Virtual - China. https://oro.open.ac.uk/74272/.
Knoth, P., Anastasiou, L., Cancellieri, M., Gyawali, B., Herrmannova, D., Misak, S., Huba, A., Pearce, S., Pontika, N., Rumyanceva, S. and Tarasiuk, M. (2019). Aggregating The World's Open Access Research Papers. Open Science Fair. https://oro.open.ac.uk/66378/.
Herrmannova, D. and Knoth, P. (2016). Simple Yet Effective Methods for Large-Scale Scholarly Publication Ranking. In: Proceedings of the WSDM Cup 2016 - Entity Ranking Challenge, the 9th ACM International Conference on Web Search and Data Mining, 22-25 Feb 2016, San Francisco, CA, USA. https://oro.open.ac.uk/60968/.
Herrmannova, D. and Knoth, P. (2015). Semantometrics: Fulltext-Based Measures for Analysing Research Collaboration. In: Proceedings of the 15th International Conference of the International Society for Scientometrics and Informetrics, 29 Jun - 3 Jul 2015, Istanbul, Turkey. https://oro.open.ac.uk/60975/.
Herrmannova, D. and Knoth, P. (2016). Semantometrics: Towards Fulltext-based Research Evaluation. In: Proceedings of the 16th ACM/IEEE-CS Joint Conference on Digital Libraries, 19-23 Jun 2016, Newark, New Jersey, USA. https://oro.open.ac.uk/60965/.
Herrmannova, D. and Knoth, P. (2016). Towards full-text based research metrics: Exploring semantometrics. Jisc. https://oro.open.ac.uk/60971/.
Herrmannova, D. and Knoth, P. (2016). An Analysis of the Microsoft Academic Graph. D-Lib Magazine, 22(9/10), https://oro.open.ac.uk/60960/.
Herrmannova, D., Pontika, N. and Knoth, P. (2019). Do Authors Deposit on Time? Tracking Open Access Policy Compliance. In: 2019 ACM/IEEE Joint Conference on Digital Libraries, 2-6 Jun 2019, Urbana-Champaign, IL. https://oro.open.ac.uk/60478/.
Herrmannova, D., Patton, R., Knoth, P. and Stahl, C. (2017). Citations and Readership are Poor Indicators of Research Excellence: Introducing TrueImpactDataset, a New Dataset for Validating Research Evaluation Metrics. In: 1st Workshop on Scholarly Web Mining, 10 Feb 2017, Cambridge, UK. https://oro.open.ac.uk/59079/.
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. In: 1st Workshop on Computational Impact Detection from Text Data (CIDTD), 8 May 2018, Miyazaki, Japan. https://oro.open.ac.uk/55987/.
Herrmannova, D., Knoth, P., Stahl, C., Patton, R. and Wells, J. (2023). Research Collaboration Analysis Using Text and Graph Features. In: 19th International Conference on Computational Linguistics and Intelligent Text Processing, 18-24 Mar 2018, Hanoi, Vietnam. https://oro.open.ac.uk/55798/.
Herrmannova, D. (2018). Mining Scholarly Publications for Research Evaluation. [Thesis] https://oro.open.ac.uk/55421/.
Herrmannova, D., Knoth, P. and Patton, R. (2018). Analyzing Citation-Distance Networks for Evaluating Publication Impact. In: 11th edition of the Language Resources and Evaluation Conference, 7-12 May 2018, Miyazaki, Japan. https://oro.open.ac.uk/53638/.
Herrmannova, D., Patton, R.M., Knoth, P. and Stahl, C.G. (2018). Do citations and readership identify seminal publications? Scientometrics, 115(1), pp. 239–262. https://oro.open.ac.uk/53639/.
Herrmannova, D. and Knoth, P. (2015). Semantometrics in Coauthorship Networks: Fulltext-based Approach for Analysing Patterns of Research Collaboration. D-Lib Magazine, 21(11/12), https://oro.open.ac.uk/46804/.
Herrmannova, D., Hlosta, M., Kuzilek, J. and Zdrahal, Z. (2015). Evaluating Weekly Predictions of At-Risk Students at The Open University: Results and Issues. In: EDEN 2015 Annual Conference Expanding Learning Scenarios: Opening Out the Educational Landscape, 9-12 Jun 2015, Barcelona, Spain. https://oro.open.ac.uk/44019/.
