Linda Andersson
- Molecular Biology
- Materials Chemistry
- Atomic and Molecular Physics, and Optics top 10%
- Spectroscopy top 10%
- Organic Chemistry
- Co-authors
- Paul M. CullisRichard WolfendenChristopher SouthgateFábio CrestaniAllan HanburyMihai LupuFlorina PiroiJoão Palotti
- Topics
- Biomedical Text Mining and Ontologies (10 papers)Topic Modeling (10 papers)Semantic Web and Ontologies (6 papers)
- Partner nations
- AustriaGermanyUnited States
In The Last Decade
Linda Andersson
15 papers receiving 757 citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Molecular Biology 568
- Materials Chemistry 208
- Atomic and Molecular Physics, and Optics 186
- Spectroscopy 118
- Organic Chemistry 59
Countries citing papers authored by Linda Andersson
This map shows the geographic impact of Linda Andersson'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 Linda Andersson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linda Andersson more than expected).
Fields of papers citing papers by Linda Andersson
This network shows the impact of papers produced by Linda Andersson. 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 Linda Andersson. The network helps show where Linda Andersson may publish in the future.
Co-authorship network of co-authors of Linda Andersson
This figure shows the co-authorship network connecting the top 25 collaborators of Linda Andersson. A scholar is included among the top collaborators of Linda Andersson 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 Linda Andersson. Linda Andersson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 3 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | Medical Entity Corpus with PICO elements and Sentiment Analysis | 3 |
| 10 | 2 | |
| 11 | Standard Test Collection for English-Persian Cross-Lingual Word Sense Disambiguation | 1 |
| 12 | 8 | |
| 13 | 2 | |
| 14 | Insight to Hyponymy Lexical Relation Extraction in the Patent Genre Versus Other Text Genres | 2 |
| 15 | 27 | |
| 16 | Report on the CLEF-IP 2011 Experiments: Exploring Patent Summarization. | 7 |
| 17 | 2 | |
| 18 | Tanumprojektet. Arkeologiska undersökningar vid hällristningar i Tossene socken, 2005-2008 – Rapport. Including English Summarizing article by Ling & Bengtsson | 1 |
| 19 | Affinities of amino acid side chains for solvent waterbreakdown → | 739 |
About Linda Andersson
Linda Andersson is a scholar working on Archeology, Artificial Intelligence and Management of Technology and Innovation, having authored 19 papers that have together received 804 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (10 papers), Topic Modeling (10 papers) and Semantic Web and Ontologies (6 papers). The work is most often cited by research in Filtration and Separation (26 citations), Molecular Biology (568 citations) and Spectroscopy (118 citations). Linda Andersson has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Paul M. Cullis, Richard Wolfenden, Christopher Southgate, Fábio Crestani, Allan Hanbury, Mihai Lupu, Florina Piroi, João Palotti, Andreas Rauber and Tobias Fink. Their work appears in journals such as Biochemistry, Language Resources and Evaluation and World Patent Information.
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.