%0 Journal Article %1 Xu2016 %A Xu, X. %A Wang, W. %A Liu, Y. %A Zhao, X. %A Xu, Z. %A Zhou, H. %D 2016 %J IEEE Transactions on Intelligent Transportation Systems %K analysis;Data analysis;IEEE analysis;intelligent analysis;research citation cokeyword collaboration cooccurrence diss interactions;Collaboration;Market network network;author network;keyword network;road patterns;intelligent research;Software;Transportation;Data social-science-related-work systems;ITS;USA;China;Europe;coauthorship systems;road topological traffic;authors traffic;road transactions transportation transportation;social vehicles;bibliographic vehicles;road visualization;Bibliographic %N 8 %P 2238-2247 %R 10.1109/TITS.2016.2519038 %T A Bibliographic Analysis and Collaboration Patterns of IEEE Transactions on Intelligent Transportation Systems Between 2000 and 2015 %V 17 %X Intelligent transportation systems (ITS) has been one of the most active research fields in recent years. This paper identifies most productive authors, institutions, and countries/regions in IEEE Transactions on Intelligent Transportation Systems from 2000 to 2015. The results of bibliographic analysis show that the USA is the most influential country in that it not only has the most papers but also has six out of the ten most-cited papers. Meanwhile, researchers from China and Europe have published nearly half of the papers in this field. In addition, we generate three networks (including coauthorship network, keyword co-occurrence network, and author co-keyword network) to analyze collaboration patterns among authors in the field of ITS. The active keywords are investigated, and the top three are vehicles, road vehicles, and road traffic. Finally, visual pictures are presented to show topological interactions of authors' collaboration.

@article{Xu2016, abstract = {Intelligent transportation systems (ITS) has been one of the most active research fields in recent years. This paper identifies most productive authors, institutions, and countries/regions in IEEE Transactions on Intelligent Transportation Systems from 2000 to 2015. The results of bibliographic analysis show that the USA is the most influential country in that it not only has the most papers but also has six out of the ten most-cited papers. Meanwhile, researchers from China and Europe have published nearly half of the papers in this field. In addition, we generate three networks (including coauthorship network, keyword co-occurrence network, and author co-keyword network) to analyze collaboration patterns among authors in the field of ITS. The active keywords are investigated, and the top three are vehicles, road vehicles, and road traffic. Finally, visual pictures are presented to show topological interactions of authors' collaboration.}, added-at = {2024-03-15T09:47:57.000+0100}, author = {{Xu}, X. and {Wang}, W. and {Liu}, Y. and {Zhao}, X. and {Xu}, Z. and {Zhou}, H.}, biburl = {https://www.bibsonomy.org/bibtex/2a83bdddbf7f36a570bd78588ac942853/tobias.koopmann}, doi = {10.1109/TITS.2016.2519038}, interhash = {9881ba2d8c557175052f7481713e3389}, intrahash = {a83bdddbf7f36a570bd78588ac942853}, issn = {1558-0016}, journal = {IEEE Transactions on Intelligent Transportation Systems}, keywords = {analysis;Data analysis;IEEE analysis;intelligent analysis;research citation cokeyword collaboration cooccurrence diss interactions;Collaboration;Market network network;author network;keyword network;road patterns;intelligent research;Software;Transportation;Data social-science-related-work systems;ITS;USA;China;Europe;coauthorship systems;road topological traffic;authors traffic;road transactions transportation transportation;social vehicles;bibliographic vehicles;road visualization;Bibliographic}, month = Aug, number = 8, pages = {2238-2247}, timestamp = {2024-03-15T09:47:57.000+0100}, title = {A Bibliographic Analysis and Collaboration Patterns of IEEE Transactions on Intelligent Transportation Systems Between 2000 and 2015}, volume = 17, year = 2016 }