Marc Weeber

1.9k total citations
27 papers, 1.1k citations indexed

About

Marc Weeber is a scholar working on Molecular Biology, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Marc Weeber has authored 27 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 16 papers in Artificial Intelligence and 3 papers in Management Science and Operations Research. Recurrent topics in Marc Weeber's work include Biomedical Text Mining and Ontologies (21 papers), Semantic Web and Ontologies (9 papers) and Topic Modeling (6 papers). Marc Weeber is often cited by papers focused on Biomedical Text Mining and Ontologies (21 papers), Semantic Web and Ontologies (9 papers) and Topic Modeling (6 papers). Marc Weeber collaborates with scholars based in Netherlands, United States and Spain. Marc Weeber's co-authors include Rein Vos, Lolkje T.W. de Jong‐van den Berg, Jan A. Kors, Vetle I. Torvik, Neil R. Smalheiser, Don R. Swanson, Barend Mons, Alan R. Aronson, James G. Mork and Martijn J. Schuemie and has published in prestigious journals such as Bioinformatics, BMC Bioinformatics and Journal Of Clinical Periodontology.

In The Last Decade

Marc Weeber

25 papers receiving 1.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Marc Weeber Netherlands 17 820 594 123 106 76 27 1.1k
Graciela Rosemblat United States 17 615 0.8× 521 0.9× 151 1.2× 26 0.2× 33 0.4× 34 877
François-Michel Lang United States 6 929 1.1× 917 1.5× 75 0.6× 45 0.4× 46 0.6× 7 1.2k
Halil Kilicoglu United States 23 1.4k 1.7× 1.3k 2.1× 263 2.1× 55 0.5× 90 1.2× 90 1.9k
Dimitar Hristovski Slovenia 16 792 1.0× 519 0.9× 185 1.5× 24 0.2× 80 1.1× 41 1.1k
Patrick Ruch Switzerland 22 1.3k 1.6× 1.2k 2.0× 63 0.5× 89 0.8× 154 2.0× 150 1.8k
Meliha Yetisgen-Yildiz United States 15 468 0.6× 498 0.8× 48 0.4× 38 0.4× 38 0.5× 29 765
Kent A. Spackman United States 22 1.2k 1.5× 1.1k 1.9× 74 0.6× 92 0.9× 94 1.2× 59 1.6k
Susanne M. Humphrey United States 14 638 0.8× 512 0.9× 50 0.4× 28 0.3× 94 1.2× 35 844
Francisco M. Couto Portugal 25 2.0k 2.4× 1.1k 1.8× 335 2.7× 97 0.9× 253 3.3× 138 2.6k
Rezarta Islamaj United States 18 1.4k 1.7× 1.4k 2.4× 91 0.7× 124 1.2× 95 1.3× 43 2.0k

Countries citing papers authored by Marc Weeber

Since Specialization
Citations

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).

Fields of papers citing papers by Marc Weeber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

All Works

20 of 20 papers shown
1.
Hettne, Kristina, Marissa de Mos, Marc Weeber, et al.. (2007). Applied information retrieval and multidisciplinary research: new mechanistic hypotheses in Complex Regional Pain Syndrome. PubMed. 2(1). 2–2. 19 indexed citations
2.
Mulligen, Erik M. van, Montserrat Cases, Kristina Hettne, et al.. (2007). Training Multidisciplinary Biomedical Informatics Students: Three Years of Experience. Journal of the American Medical Informatics Association. 15(2). 246–254. 9 indexed citations
3.
Hettne, Kristina, Marc Weeber, Marja L. Laine, et al.. (2007). Automatic mining of the literature to generate new hypotheses for the possible link between periodontitis and atherosclerosis: lipopolysaccharide as a case study. Journal Of Clinical Periodontology. 34(12). 1016–1024. 35 indexed citations
4.
Schuemie, Martijn J., Barend Mons, Marc Weeber, & Jan A. Kors. (2006). Evaluation of techniques for increasing recall in a dictionary approach to gene and protein name identification. Journal of Biomedical Informatics. 40(3). 316–324. 27 indexed citations
5.
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
6.
Schijvenaars, Bob J.A., Barend Mons, Marc Weeber, et al.. (2005). Thesaurus-based disambiguation of gene symbols. BMC Bioinformatics. 6(1). 149–149. 42 indexed citations
7.
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
8.
Cases, Montserrat, Ricard García-Serna, Kristina Hettne, et al.. (2005). Chemical and Biological Profiling of an Annotated Compound Library Directed to the Nuclear Receptor Family. Current Topics in Medicinal Chemistry. 5(8). 763–772. 28 indexed citations
9.
Weeber, Marc, Jan A. Kors, & Barend Mons. (2005). Online tools to support literature-based discovery in the life sciences. Briefings in Bioinformatics. 6(3). 277–286. 63 indexed citations
10.
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
12.
Schuemie, Martijn J., Marc Weeber, Bob J.A. Schijvenaars, et al.. (2004). Distribution of information in biomedical abstracts and full-text publications. Bioinformatics. 20(16). 2597–2604. 75 indexed citations
13.
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
15.
Weeber, Marc. (2003). Generating Hypotheses by Discovering Implicit Associations in the Literature: A Case Report of a Search for New Potential Therapeutic Uses for Thalidomide. Journal of the American Medical Informatics Association. 10(3). 252–259. 122 indexed citations
16.
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
17.
Weeber, Marc, et al.. (2001). Using concepts in literature‐based discovery: Simulating Swanson's Raynaud–fish oil and migraine–magnesium discoveries. Journal of the American Society for Information Science and Technology. 52(7). 548–557. 121 indexed citations
18.
Weeber, Marc, Rein Vos, & R. Harald Baayen. (2000). Extracting the Lowest-Frequency Words: Pitfalls and Possibilities. Computational Linguistics. 26(3). 301–317. 25 indexed citations
19.
Weeber, Marc, et al.. (2000). Text-based discovery in biomedicine: the architecture of the DAD-system.. PubMed. 903–7. 84 indexed citations
20.
Weeber, Marc, et al.. (1999). Evaluating MetaMap's text-to-concept mapping performance. PubMed Central. 1101–1101. 2 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.

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