His primary scientific interests are in Data science, Information retrieval, Citation, Bibliographic coupling and Data mining. Citation network and Text mining is closely connected to Visualization in his research, which is encompassed under the umbrella topic of Data science. His research on Information retrieval often connects related areas such as Citation analysis.
His work deals with themes such as Social science and Sociology of scientific knowledge, which intersect with Citation. His study focuses on the intersection of Bibliographic coupling and fields such as Construct with connections in the field of Focus and Fractional counting. His Co-citation research incorporates elements of Science mapping and Representation.
Ludo Waltman mostly deals with Citation, Information retrieval, Data science, Citation impact and Data mining. Ludo Waltman interconnects Actuarial science and Cluster analysis in the investigation of issues within Citation. His Information retrieval research is multidisciplinary, incorporating perspectives in Bibliographic coupling and Similarity.
Ludo Waltman has included themes like Visualization and Scientometrics in his Data science study. In Data mining, Ludo Waltman works on issues like Normalization, which are connected to Fractional counting. His work carried out in the field of Citation analysis brings together such families of science as Bibliometrics and Econometrics.
Ludo Waltman focuses on Citation, Information retrieval, Skewness, Psychology and Relevance. His Citation network study in the realm of Citation connects with subjects such as Tracing, Mathematical properties and Formal description. His Information retrieval research includes elements of Strengths and weaknesses and Pairwise comparison.
His Skewness research is multidisciplinary, incorporating elements of Actuarial science and San Francisco Declaration on Research Assessment. His work investigates the relationship between San Francisco Declaration on Research Assessment and topics such as Value that intersect with problems in Focus and Econometrics. His research on Relevance frequently links to adjacent areas such as Subject.
His primary areas of investigation include Scopus, Web of science, Information retrieval, Citation and Social media. Multidisciplinary approach, Scale, World Wide Web, Scientific literature and Strengths and weaknesses are fields of study that overlap with his Scopus research. His Web of science studies intersect with other subjects such as Pairwise comparison and Document type definition.
His Information retrieval research incorporates themes from Similarity, Bibliographic coupling and Cluster analysis. Much of his study explores Citation relationship to Measure. His studies link Relevance with Social media.
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Software survey: VOSviewer, a computer program for bibliometric mapping.
Nees Jan van Eck;Nees Jan van Eck;Ludo Waltman;Ludo Waltman.
Bibliometrics: The Leiden Manifesto for research metrics
Diana Hicks;Paul Wouters;Ludo Waltman;Sarah de Rijcke.
The Leiden Manifesto for research metrics
Diana Hicks;Paul Wouters;Ludo Waltman;Sarah de Rijcke Ismael Rafols.
Visualizing Bibliometric Networks
Nees Jan van Eck;Ludo Waltman.
A unified approach to mapping and clustering of bibliometric networks
Ludo Waltman;Nees Jan van Eck;Ed C.M. Noyons.
Journal of Informetrics (2010)
A review of the literature on citation impact indicators
Journal of Informetrics (2016)
From Louvain to Leiden: guaranteeing well-connected communities
Vincent Traag;Ludo Waltman;Nees Jan van Eck.
arXiv: Social and Information Networks (2018)
From Louvain to Leiden: guaranteeing well-connected communities.
V. A. Traag;L. Waltman;N. J. van Eck.
Scientific Reports (2019)
How to normalize cooccurrence dataq An analysis of some well-known similarity measures
Nees Jan van Eck;Ludo Waltman.
Journal of the Association for Information Science and Technology (2009)
A comparison of two techniques for bibliometric mapping: Multidimensional scaling and VOS
Nees Jan van Eck;Ludo Waltman;Rommert Dekker;Jan van den Berg.
Journal of the Association for Information Science and Technology (2010)
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