Chris Wroe

2.8k total citations
43 papers, 1.3k citations indexed

About

Chris Wroe is a scholar working on Molecular Biology, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Chris Wroe has authored 43 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 21 papers in Artificial Intelligence and 16 papers in Computer Networks and Communications. Recurrent topics in Chris Wroe's work include Biomedical Text Mining and Ontologies (19 papers), Semantic Web and Ontologies (18 papers) and Distributed and Parallel Computing Systems (15 papers). Chris Wroe is often cited by papers focused on Biomedical Text Mining and Ontologies (19 papers), Semantic Web and Ontologies (18 papers) and Distributed and Parallel Computing Systems (15 papers). Chris Wroe collaborates with scholars based in United Kingdom, Netherlands and Spain. Chris Wroe's co-authors include Carole Goble, Robert Stevens, Phillip Lord, Mark Greenwood, Duncan Hull, Angus Roberts, Tom Oinn, Marta Sabou, Martin Senger and Antoon Goderis and has published in prestigious journals such as Bioinformatics, Postgraduate Medical Journal and IEEE Intelligent Systems.

In The Last Decade

Chris Wroe

40 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chris Wroe United Kingdom 15 743 653 600 485 425 43 1.3k
Jiten Bhagat United Kingdom 8 700 0.9× 382 0.6× 488 0.8× 190 0.4× 270 0.6× 11 974
Darren Marvin United Kingdom 9 1.3k 1.7× 1.1k 1.6× 712 1.2× 174 0.4× 373 0.9× 12 1.6k
Justin Ferris United Kingdom 6 1.2k 1.6× 1000 1.5× 644 1.1× 149 0.3× 367 0.9× 7 1.5k
Matthew Addis United Kingdom 10 1.3k 1.7× 1.1k 1.6× 720 1.2× 214 0.4× 376 0.9× 41 1.7k
Laura Chiticariu United States 15 531 0.7× 565 0.9× 535 0.9× 647 1.3× 74 0.2× 36 1.3k
R. Stevens United Kingdom 12 283 0.4× 203 0.3× 211 0.4× 264 0.5× 337 0.8× 16 630
Michael Hausenblas Ireland 17 121 0.2× 356 0.5× 520 0.9× 800 1.6× 159 0.4× 58 1.1k
Yunyao Li United States 15 70 0.1× 260 0.4× 268 0.4× 614 1.3× 94 0.2× 55 944
Antoon Goderis United Kingdom 7 500 0.7× 439 0.7× 348 0.6× 101 0.2× 65 0.2× 15 628
Giorgos Flouris Greece 14 65 0.1× 144 0.2× 289 0.5× 611 1.3× 154 0.4× 62 713

Countries citing papers authored by Chris Wroe

Since Specialization
Citations

This map shows the geographic impact of Chris Wroe'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 Chris Wroe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Wroe more than expected).

Fields of papers citing papers by Chris Wroe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chris Wroe. 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 Chris Wroe. The network helps show where Chris Wroe may publish in the future.

Co-authorship network of co-authors of Chris Wroe

This figure shows the co-authorship network connecting the top 25 collaborators of Chris Wroe. A scholar is included among the top collaborators of Chris Wroe 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 Chris Wroe. Chris Wroe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Peters, Simon, et al.. (2020). Semantic Deep Learning: Prior Knowledge and a Type of Four-Term Embedding Analogy to Acquire Treatments for Well-Known Diseases. JMIR Medical Informatics. 8(8). e16948–e16948. 2 indexed citations
2.
Stevens, Robert, Chris Wroe, George Demetriou, et al.. (2019). Exploring semantic deep learning for building reliable and reusable one health knowledge from PubMed systematic reviews and veterinary clinical notes. Journal of Biomedical Semantics. 10(S1). 22–22. 7 indexed citations
3.
Martínez-Costa, Catalina, Chris Wroe, George Demetriou, et al.. (2017). Experiments to Create Ontology-based Disease Models for Diabetic Retinopathy from Different Biomedical Resources.. 2 indexed citations
4.
Wolstencroft, Katherine, Pinar Alper, Duncan Hull, et al.. (2007). The <SUP align=right>my</SUP>Grid ontology: bioinformatics service discovery. International Journal of Bioinformatics Research and Applications. 3(3). 303–303. 50 indexed citations
5.
Wolstencroft, Katherine, Tom Oinn, Carole Goble, et al.. (2006). Panoply of Utilities in Taverna. Research Explorer (The University of Manchester). 3. 156–162. 14 indexed citations
6.
Wroe, Chris, Carole Goble, Antoon Goderis, et al.. (2006). Recycling workflows and services through discovery and reuse. Concurrency and Computation Practice and Experience. 19(2). 181–194. 17 indexed citations
7.
Wroe, Chris, Phillip Lord, Simon Miles, et al.. (2004). Recycling Services and Workflows through Discovery and Reuse. ePrints Soton (University of Southampton).
8.
Stevens, Robert, Hannah Tipney, Chris Wroe, et al.. (2004). Exploring Williams–Beuren syndrome using myGrid. Bioinformatics. 20(suppl_1). i303–i310. 75 indexed citations
9.
Goble, Carole & Chris Wroe. (2004). The Montagues and the Capulets. Comparative and Functional Genomics. 5(8). 623–632. 11 indexed citations
10.
Hull, Duncan, R. Stevens, Phillip Lord, et al.. (2004). Treating Shimantic Web Syndrome with Ontologies. Research Explorer (The University of Manchester). 41 indexed citations
11.
Lord, Phillip, Chris Wroe, Robert Stevens, et al.. (2003). Semantic and Personalised Service Discovery. ePrints Soton (University of Southampton). 10 indexed citations
12.
Zhao, Jun, Carole Goble, Mark Greenwood, Chris Wroe, & Robert Stevens. (2003). Annotating, Linking and Browsing Provenance Logs for {e-Science}. Lancaster EPrints (Lancaster University). 54 indexed citations
13.
Stevens, Robert, Chris Wroe, Sean Bechhofer, et al.. (2003). Building ontologies in DAML + OIL. Comparative and Functional Genomics. 4(1). 133–141. 13 indexed citations
14.
Goble, Carole, Chris Wroe, & R. Stevens. (2003). The {my}Grid Project: Services, Architecture and Demonstrator. Research Explorer (The University of Manchester). 595–603. 28 indexed citations
15.
Greenwood, Mark, Chris Wroe, Robert Stevens, Carole Goble, & Matthew Addis. (2002). Are bioinformaticians doing e-Business?. Electronic workshops in computing. 2 indexed citations
16.
Rector, Alan, Jeremy Rogers, Angus Roberts, & Chris Wroe. (2002). Scale and context: issues in ontologies to link health- and bio-informatics.. PubMed. 642–6. 10 indexed citations
17.
Rector, Alan, et al.. (2001). Untangling taxonomies and relationships. 1 indexed citations
18.
Wroe, Chris, James J. Cimino, & Alan Rector. (2001). Integrating existing drug formulation terminologies into an HL7 standard classification using OpenGALEN.. PubMed. 766–70. 11 indexed citations
19.
Wroe, Chris, W D Solomon, Jeremy Rogers, & Alan Rector. (2000). Inheritance of Drug Information.. PubMed Central. 1158–1158. 4 indexed citations
20.
Solomon, W D, Angus Roberts, J E Rogers, Chris Wroe, & Alan Rector. (2000). Having our cake and eating it too: how the GALEN Intermediate Representation reconciles internal complexity with users' requirements for appropriateness and simplicity.. PubMed. 819–23. 10 indexed citations

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.

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