Amanda Clare
Impact in
- Artificial Intelligence top 2%
- Topic Modeling
- Natural Language Processing Techniques
Papers in
-
- Topic Modeling 6
- Semantic Web and Ontologies 6
- Co-authors
- Ross D. KingMaria LiakataDaniel DumaEwan KleinLarisa SoldatovaWayne AubreyAndrew C. SparkesJem J. Rowland
- Journals
- Bioinformatics (11 papers)PLoS ONE (3 papers)Yeast (2 papers)D-Lib Magazine (2 papers)Human Molecular Genetics (1 paper)
- Partner nations
- United KingdomBelgiumAustralia
In The Last Decade
Amanda Clare
42 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 170
- Artificial Intelligence 663
- Information Systems and Management 103
- Molecular Biology 626
- Computational Theory and Mathematics 136
- Statistics, Probability and Uncertainty 57
Countries citing papers authored by Amanda Clare
This map shows the geographic impact of Amanda Clare'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 Amanda Clare with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amanda Clare more than expected).
Fields of papers citing papers by Amanda Clare
This network shows the impact of papers produced by Amanda Clare. 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 Amanda Clare. The network helps show where Amanda Clare may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Amanda Clare, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2023 | 1 | |
| 3 | 2021 | 27 | |
| 4 | 2021 | 2 | |
| 5 | 2020 | 13 | |
| 6 | 2018 | 2 | |
| 7 | 2017 | 120 | |
| 8 | 2016 | 16 | |
| 9 | 2016 | 0 | |
| 10 | 2015 | 0 | |
| 11 | 2013 | 5 | |
| 12 | Exploring the Generation and Integration of Publishable Scientic Facts Using the Concept of Nano-publications. | 2011 | 5 |
| 13 | 2007 | 10 | |
| 14 | Decision trees for hierarchical multilabel classification: A case study in functional genomics | 2006 | 13 |
| 15 | 2005 | 5 | |
| 16 | 2003 | 103 | |
| 17 | 2001 | 53 | |
| 18 | 2001 | 5 | |
| 19 | 2000 | 39 | |
| 20 | 1993 | 10 |
About Amanda Clare
Amanda Clare is a scholar working on Information Systems and Management, Artificial Intelligence, Molecular Biology, Statistics, Probability and Uncertainty and Endocrinology, having authored 46 papers that have together received 1.7k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (16 papers), Machine Learning in Bioinformatics (13 papers), Biomedical Text Mining and Ontologies (10 papers), Bioinformatics and Genomic Networks (8 papers), Microbial Metabolic Engineering and Bioproduction (7 papers), RNA and protein synthesis mechanisms (7 papers), Topic Modeling (6 papers) and Semantic Web and Ontologies (6 papers). The work is most often cited by research in Artificial Intelligence (663 citations), Information Systems and Management (103 citations), Molecular Biology (626 citations), Computational Theory and Mathematics (136 citations) and Statistics, Probability and Uncertainty (57 citations). Amanda Clare has collaborated with scholars based in United Kingdom, Belgium and Australia. Frequent co-authors include Ross D. King, Maria Liakata, Daniel Duma, Ewan Klein, Larisa Soldatova, Wayne Aubrey, Andrew C. Sparkes, Jem J. Rowland, Emma Byrne and Kenneth E. Whelan. Their work appears in journals such as Bioinformatics, PLoS ONE, Yeast, D-Lib Magazine and Human Molecular Genetics.
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.