Marc Weeber
- Molecular Biology top 10%
- Artificial Intelligence top 2%
- Computational Theory and Mathematics top 5%
- Management Science and Operations Research top 5%
- Information Systems top 10%
- Co-authors
- Rein VosLolkje T.W. de Jong‐van den BergJan A. KorsVetle I. TorvikNeil R. SmalheiserDon R. SwansonBarend MonsAlan R. Aronson
- Topics
- Biomedical Text Mining and Ontologies (21 papers)Semantic Web and Ontologies (9 papers)Topic Modeling (6 papers)
- Partner nations
- NetherlandsUnited StatesSpain
In The Last Decade
Marc Weeber
25 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 112
- Molecular Biology 820
- Artificial Intelligence 594
- Computational Theory and Mathematics 123
- Management Science and Operations Research 106
- Information Systems 76
Countries citing papers authored by Marc Weeber
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 19 | |
| 2 | 9 | |
| 3 | 35 | |
| 4 | 27 | |
| 5 | TREC 2005 Genomics Track A Concept-Based Approach to Text Categorization. | 1 |
| 6 | 42 | |
| 7 | A probabilistic similarity metric for Medline records: A model for author name disambiguation: Research Articles | 37 |
| 8 | 28 | |
| 9 | 63 | |
| 10 | Notebook Paper TREC 2005 Genomics Track A Concept-Based Approach to Text Categorization | 0 |
| 11 | MeSH Based Feedback, Concept Recognition and Stacked Classification for Curation Tasks. | 8 |
| 12 | 75 | |
| 13 | Searching for geneRIFs: Concept-Based Query Expansion and Bayes Classification. | 12 |
| 14 | Ambiguity of human gene symbols in LocusLink and MEDLINE: creating an inventory and a disambiguation test collection. | 23 |
| 15 | 122 | |
| 16 | Mining the Epidemiological Literature for Risk Factors and Incidence Data of Kawasaki Disease | 1 |
| 17 | 121 | |
| 18 | 25 | |
| 19 | Text-based discovery in biomedicine: the architecture of the DAD-system. | 84 |
| 20 | Evaluating MetaMap's text-to-concept mapping performance | 2 |
About Marc Weeber
Marc Weeber is a scholar working on Anatomy, Artificial Intelligence and Molecular Biology, having authored 27 papers that have together received 1.1k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (21 papers), Semantic Web and Ontologies (9 papers) and Topic Modeling (6 papers). The work is most often cited by research in Artificial Intelligence (594 citations), Molecular Biology (820 citations) and Management Science and Operations Research (106 citations). Marc Weeber has collaborated with scholars based in Netherlands, United States and Spain. Frequent 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. Their work appears in journals such as Bioinformatics, BMC Bioinformatics and Journal Of Clinical Periodontology.
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.