Anika Groß
- Artificial Intelligence top 5%
- Molecular Biology
- Information Systems top 10%
- Management Science and Operations Research top 10%
- Computer Networks and Communications
- Co-authors
- Erhard RahmMichael HartungToralf KirstenCédric PruskiOliver J. LechtenfeldJanet KelsoPeter HerzsprungKay Prüfer
- Topics
- Biomedical Text Mining and Ontologies (16 papers)Semantic Web and Ontologies (14 papers)Bioinformatics and Genomic Networks (6 papers)
- Partner nations
- GermanyLuxembourgAustralia
In The Last Decade
Anika Groß
19 papers receiving 245 citations
Peers
Comparison fields: 5 of 53
- Artificial Intelligence 208
- Molecular Biology 189
- Information Systems 60
- Management Science and Operations Research 40
- Computer Networks and Communications 13
Countries citing papers authored by Anika Groß
This map shows the geographic impact of Anika Groß'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 Anika Groß with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anika Groß more than expected).
Fields of papers citing papers by Anika Groß
This network shows the impact of papers produced by Anika Groß. 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 Anika Groß. The network helps show where Anika Groß may publish in the future.
Co-authorship network of co-authors of Anika Groß
This figure shows the co-authorship network connecting the top 25 collaborators of Anika Groß. A scholar is included among the top collaborators of Anika Groß 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 Anika Groß. Anika Groß is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 2 | |
| 6 | 4 | |
| 7 | Approaches for Annotating Medical Documents. | 2 |
| 8 | 26 | |
| 9 | 3 | |
| 10 | Composition Methods for Link Discovery. | 2 |
| 11 | 13 | |
| 12 | GOMMA results for OAEI 2012 | 17 |
| 13 | 44 | |
| 14 | 11 | |
| 15 | How do Computed Ontology Mappings Evolve? - A Case Study for Life Science Ontologies. | 12 |
| 16 | 21 | |
| 17 | Mapping Composition for Matching Large Life Science Ontologies. | 20 |
| 18 | 50 | |
| 19 | An Evolutionbased Approach for Assessing Ontology Mappings - A Case Study in the Life Sciences. | 2 |
| 20 | 20 |
About Anika Groß
Anika Groß is a scholar working on Artificial Intelligence, Molecular Biology and Management Science and Operations Research, having authored 20 papers that have together received 270 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (16 papers), Semantic Web and Ontologies (14 papers) and Bioinformatics and Genomic Networks (6 papers). The work is most often cited by research in Artificial Intelligence (208 citations), Management Science and Operations Research (40 citations) and Molecular Biology (189 citations). Anika Groß has collaborated with scholars based in Germany, Luxembourg and Australia. Frequent co-authors include Erhard Rahm, Michael Hartung, Toralf Kirsten, Cédric Pruski, Oliver J. Lechtenfeld, Janet Kelso, Peter Herzsprung, Kay Prüfer, Andreas Thor and Der-Ming Liou. Their work appears in journals such as Environmental Science & Technology, Bioinformatics and BMC Bioinformatics.
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.