Eamonn Maguire
- Molecular Biology top 10%
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Information Systems and Management top 2%
- Spectroscopy top 5%
- Co-authors
- Susanna‐Assunta SansonePhilippe Rocca‐SerraAlejandra González-BeltránSteffen NeumannReza M. SalekPablo ConesaKenneth HaugMark Williams
- Topics
- Biomedical Text Mining and Ontologies (11 papers)Data Visualization and Analytics (8 papers)Bioinformatics and Genomic Networks (7 papers)
- Partner nations
- United KingdomUnited StatesSwitzerland
In The Last Decade
Eamonn Maguire
20 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Molecular Biology 765
- Computer Vision and Pattern Recognition 220
- Artificial Intelligence 169
- Information Systems and Management 166
- Spectroscopy 155
Countries citing papers authored by Eamonn Maguire
This map shows the geographic impact of Eamonn Maguire'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 Eamonn Maguire with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eamonn Maguire more than expected).
Fields of papers citing papers by Eamonn Maguire
This network shows the impact of papers produced by Eamonn Maguire. 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 Eamonn Maguire. The network helps show where Eamonn Maguire may publish in the future.
Co-authorship network of co-authors of Eamonn Maguire
This figure shows the co-authorship network connecting the top 25 collaborators of Eamonn Maguire. A scholar is included among the top collaborators of Eamonn Maguire 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 Eamonn Maguire. Eamonn Maguire is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 46 | |
| 2 | 5 | |
| 3 | 7 | |
| 4 | 1 | |
| 5 | 14 | |
| 6 | 11 | |
| 7 | 37 | |
| 8 | 6 | |
| 9 | 21 | |
| 10 | The Stem Cell Commons: an exemplar for data integration in the biomedical domain driven by the ISA framework. | 5 |
| 11 | 33 | |
| 12 | 5 | |
| 13 | MetaboLights—an open-access general-purpose repository for metabolomics studies and associated meta-databreakdown → | 464 |
| 14 | 54 | |
| 15 | 59 | |
| 16 | 37 | |
| 17 | 2 | |
| 18 | 192 | |
| 19 | 19 | |
| 20 | 171 |
About Eamonn Maguire
Eamonn Maguire is a scholar working on Information Systems and Management, Computer Vision and Pattern Recognition and Signal Processing, having authored 20 papers that have together received 1.2k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (11 papers), Data Visualization and Analytics (8 papers) and Bioinformatics and Genomic Networks (7 papers). The work is most often cited by research in Information Systems and Management (166 citations), Molecular Biology (765 citations) and Computer Vision and Pattern Recognition (220 citations). Eamonn Maguire has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Susanna‐Assunta Sansone, Philippe Rocca‐Serra, Alejandra González-Beltrán, Steffen Neumann, Reza M. Salek, Pablo Conesa, Kenneth Haug, Mark Williams, Christoph Steinbeck and Julian L. Griffin. Their work appears in journals such as Nucleic Acids Research, 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.