Matthew Pocock
- Information Systems and Management top 0.2%
- Computer Networks and Communications top 1%
- Molecular Biology top 10%
- Information Systems top 1%
- Artificial Intelligence top 10%
- Co-authors
- Anil WipatTom OinnPeter LiJustin FerrisKevin GloverMark GreenwoodMartin SengerDarren Marvin
- Topics
- Bioinformatics and Genomic Networks (17 papers)Gene Regulatory Network Analysis (15 papers)Scientific Computing and Data Management (12 papers)
- Journals
- SHILAP Revista de lepidopterologíaBioinformaticsBMC Bioinformatics
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Matthew Pocock
38 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Information Systems and Management 1.3k
- Computer Networks and Communications 988
- Molecular Biology 908
- Information Systems 637
- Artificial Intelligence 201
Countries citing papers authored by Matthew Pocock
This map shows the geographic impact of Matthew Pocock'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 Matthew Pocock with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Pocock more than expected).
Fields of papers citing papers by Matthew Pocock
This network shows the impact of papers produced by Matthew Pocock. 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 Matthew Pocock. The network helps show where Matthew Pocock may publish in the future.
Co-authorship network of co-authors of Matthew Pocock
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Pocock. A scholar is included among the top collaborators of Matthew Pocock 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 Matthew Pocock. Matthew Pocock is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 6 | |
| 3 | 5 | |
| 4 | 59 | |
| 5 | 22 | |
| 6 | 22 | |
| 7 | BBF RFC 108: Synthetic Biology Open Language (SBOL) Version 2.0.0 | 1 |
| 8 | 5 | |
| 9 | 3 | |
| 10 | 6 | |
| 11 | 17 | |
| 12 | 35 | |
| 13 | 5 | |
| 14 | 195 | |
| 15 | Implementing the FuGE Object Model: a Systems Biology Data Portal and Integrator | 1 |
| 16 | GELI: a data model for the representation of a gel electrophoresis experiment | 1 |
| 17 | 41 | |
| 18 | 9 | |
| 19 | Ontology for genome comparison and genomic rearrangements: Conference Papers | 1 |
| 20 | 3 |
About Matthew Pocock
Matthew Pocock is a scholar working on Information Systems and Management, Molecular Biology and Software, having authored 38 papers that have together received 2.1k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (17 papers), Gene Regulatory Network Analysis (15 papers) and Scientific Computing and Data Management (12 papers). The work is most often cited by research in Information Systems and Management (1.3k citations), Computer Networks and Communications (988 citations) and Information Systems (637 citations). Matthew Pocock has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Anil Wipat, Tom Oinn, Peter Li, Justin Ferris, Kevin Glover, Mark Greenwood, Martin Senger, Darren Marvin, Matthew Addis and Tim Carver. Their work appears in journals such as SHILAP Revista de lepidopterología, 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.