%0 Journal Article %1 journals/biomedsem/RabbyDODSA23 %A Rabby, Gollam %A D'Souza, Jennifer %A Oelen, Allard %A Dvorackova, Lucie %A Svátek, Vojtech %A Auer, Sören %D 2023 %J J. Biomed. Semant. %K dblp %N 1 %P 18 %T Impact of COVID-19 research: a study on predicting influential scholarly documents using machine learning and a domain-independent knowledge graph. %U http://dblp.uni-trier.de/db/journals/biomedsem/biomedsem14.html#RabbyDODSA23 %V 14

@article{journals/biomedsem/RabbyDODSA23, added-at = {2024-01-03T00:00:00.000+0100}, author = {Rabby, Gollam and D'Souza, Jennifer and Oelen, Allard and Dvorackova, Lucie and Svátek, Vojtech and Auer, Sören}, biburl = {https://www.bibsonomy.org/bibtex/2b9b0d535afc132ae65a1b752aeecced2/dblp}, ee = {https://doi.org/10.1186/s13326-023-00298-4}, interhash = {0c2dfdbad84e34a7d8b379295974b295}, intrahash = {b9b0d535afc132ae65a1b752aeecced2}, journal = {J. Biomed. Semant.}, keywords = {dblp}, month = {December}, number = 1, pages = 18, timestamp = {2024-04-08T10:59:45.000+0200}, title = {Impact of COVID-19 research: a study on predicting influential scholarly documents using machine learning and a domain-independent knowledge graph.}, url = {http://dblp.uni-trier.de/db/journals/biomedsem/biomedsem14.html#RabbyDODSA23}, volume = 14, year = 2023 }