This map shows the geographic impact of Marc Weeber's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Marc Weeber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Weeber more than expected).
This network shows the impact of papers produced by Marc Weeber. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Marc Weeber. The network helps show where Marc Weeber may publish in the future.
Co-authorship network of co-authors of Marc Weeber
This figure shows the co-authorship network connecting the top 25 collaborators of Marc Weeber.
A scholar is included among the top collaborators of Marc Weeber based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Marc Weeber. Marc Weeber is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Schijvenaars, Bob J.A., Martijn J. Schuemie, Erik M. van Mulligen, et al.. (2005). TREC 2005 Genomics Track A Concept-Based Approach to Text Categorization.. Text REtrieval Conference.1 indexed citations
Torvik, Vetle I., Marc Weeber, Don R. Swanson, & Neil R. Smalheiser. (2005). A probabilistic similarity metric for Medline records: A model for author name disambiguation: Research Articles. Journal of the American Society for Information Science and Technology. 56(2). 140–158.37 indexed citations
Schuemie, Martijn J., Erik M. van Mulligen, Marc Weeber, et al.. (2005). Notebook Paper TREC 2005 Genomics Track A Concept-Based Approach to Text Categorization.
11.
Kraaij, Wessel, Stephan Raaijmakers, Marc Weeber, & Rob Jelier. (2004). MeSH Based Feedback, Concept Recognition and Stacked Classification for Curation Tasks.. Text REtrieval Conference.8 indexed citations
Jelier, Rob, Martijn J. Schuemie, Marc Weeber, et al.. (2003). Searching for geneRIFs: Concept-Based Query Expansion and Bayes Classification.. Text REtrieval Conference. 225–233.12 indexed citations
14.
Weeber, Marc, Bob J.A. Schijvenaars, Erik M. van Mulligen, et al.. (2003). Ambiguity of human gene symbols in LocusLink and MEDLINE: creating an inventory and a disambiguation test collection.. PubMed. 704–8.23 indexed citations
Aronson, Alan R., et al.. (2002). Mining the Epidemiological Literature for Risk Factors and Incidence Data of Kawasaki Disease. PubMed Central. 1178–1178.1 indexed citations
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
bibliographic database. While OpenAlex provides broad and valuable coverage of the global
research landscape, it—like all bibliographic datasets—has inherent limitations. These include
incomplete records, variations in author disambiguation, differences in journal indexing, and
delays in data updates. As a result, some metrics and network relationships displayed in
Rankless may not fully capture the entirety of a scholar's output or impact.