%0 Journal Article %1 journals/scientometrics/MejiaK18 %A Mejia, Cristian %A Kajikawa, Yuya %D 2018 %J Scientometrics %K dblp %N 3 %P 883-904 %T Using acknowledgement data to characterize funding organizations by the types of research sponsored: the case of robotics research. %U http://dblp.uni-trier.de/db/journals/scientometrics/scientometrics114.html#MejiaK18 %V 114

@article{journals/scientometrics/MejiaK18, added-at = {2020-10-26T00:00:00.000+0100}, author = {Mejia, Cristian and Kajikawa, Yuya}, biburl = {https://www.bibsonomy.org/bibtex/29889cc330956f9e5bff0901107442953/dblp}, ee = {https://doi.org/10.1007/s11192-017-2617-2}, interhash = {588e71956ebb71e52faf127e4a2f123a}, intrahash = {9889cc330956f9e5bff0901107442953}, journal = {Scientometrics}, keywords = {dblp}, number = 3, pages = {883-904}, timestamp = {2020-10-27T12:37:48.000+0100}, title = {Using acknowledgement data to characterize funding organizations by the types of research sponsored: the case of robotics research.}, url = {http://dblp.uni-trier.de/db/journals/scientometrics/scientometrics114.html#MejiaK18}, volume = 114, year = 2018 }