%0 Journal Article %1 besselaar2006 %A van den Besselaar, Peter %A Heimeriks, Gaston %D 2006 %J Scientometrics %K co-word mapping referenzen %N 3 %P 377-393 %T Mapping research topics using word-reference co-occurrences: A method and an exploratory case study %U http://dx.doi.org/10.1007/s11192-006-0118-9 %V 68 %X Mapping of science and technology can be done at different levels of aggregation, using a variety of methods. In this paper, we propose a method in which title words are used as indicators for the content of a research topic, and cited references are used as the context in which words get their meaning. Research topics are represented by sets of papers that are similarin terms of these word-reference combinations. In this way we use words without neglecting differences and changes in theirmeanings. The method has several advantages, such as high coverage of publications. As an illustration we apply the method to produce knowledge maps of information science.

@article{besselaar2006, abstract = {Mapping of science and technology can be done at different levels of aggregation, using a variety of methods. In this paper, we propose a method in which title words are used as indicators for the content of a research topic, and cited references are used as the context in which words get their meaning. Research topics are represented by sets of papers that are similarin terms of these word-reference combinations. In this way we use words without neglecting differences and changes in theirmeanings. The method has several advantages, such as high coverage of publications. As an illustration we apply the method to produce knowledge maps of information science.}, added-at = {2009-11-10T14:03:24.000+0100}, author = {van den Besselaar, Peter and Heimeriks, Gaston}, biburl = {https://www.bibsonomy.org/bibtex/23c8e36093356f79af2e90ed02f2883d1/wdees}, description = {SpringerLink - Zeitschriftenbeitrag}, interhash = {6b8ae11f2251f4320c9d48d13be25bb7}, intrahash = {3c8e36093356f79af2e90ed02f2883d1}, journal = {Scientometrics}, keywords = {co-word mapping referenzen}, number = 3, pages = {377-393}, timestamp = {2009-11-10T14:03:24.000+0100}, title = {Mapping research topics using word-reference co-occurrences: A method and an exploratory case study}, url = {http://dx.doi.org/10.1007/s11192-006-0118-9}, volume = 68, year = 2006 }