Peter Saffrey
Impact in
-
- Teaching and Learning Programming
- Online Learning and Analytics
- Hematology top 10%
- Chronic Myeloid Leukemia Treatments
- Acute Myeloid Leukemia Research
Papers in
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- Gene Regulatory Network Analysis 5
- Bioinformatics and Genomic Networks 3
- Microbial Metabolic Engineering and Bioproduction 3
- Genomics and Chromatin Dynamics 2
- Co-authors
- Stephen Draper (1 shared paper)Patrick O’Donnell (1 shared paper)Quintin Cutts (1 shared paper)Helen C. Purchase (1 shared paper)James Hetherington (7 shared papers)David Vetrie (3 shared papers)A Warner (4 shared papers)Robert M. Seymour (4 shared papers)
- Journals
- Journal of The Royal Society Interface (2 papers)Computer (1 paper)Blood (1 paper)Computers & Chemical Engineering (1 paper)Cancer Discovery (1 paper)
- Partner nations
- United KingdomAustralia
In The Last Decade
Peter Saffrey
14 papers receiving 434 citations
Peers
Comparison fields: 5 of 88
- Computer Science Applications 76
- Hematology 76
- Genetics 41
- Developmental and Educational Psychology 49
- Molecular Biology 205
Countries citing papers authored by Peter Saffrey
This map shows the geographic impact of Peter Saffrey'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 Peter Saffrey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Saffrey more than expected).
Fields of papers citing papers by Peter Saffrey
This network shows the impact of papers produced by Peter Saffrey. 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 Peter Saffrey. The network helps show where Peter Saffrey may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Saffrey, 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 | 2010 | 118 | |
| 2 | 2016 | 102 | |
| 3 | 2010 | 61 | |
| 4 | 2004 | 61 | |
| 5 | The mental map versus static aesthetic compromise in dynamic graphs: a user study | 2008 | 29 |
| 6 | 2013 | 28 | |
| 7 | 2006 | 21 | |
| 8 | 2011 | 20 | |
| 9 | 2012 | 14 | |
| 10 | 2009 | 6 | |
| 11 | 2004 | 6 | |
| 12 | 2006 | 5 | |
| 13 | 2007 | 4 | |
| 14 | 2006 | 1 |
About Peter Saffrey
Peter Saffrey is a scholar working on Molecular Biology, Computational Theory and Mathematics, Experimental and Cognitive Psychology, Endocrinology, Diabetes and Metabolism and Social Psychology, having authored 14 papers that have together received 476 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (5 papers), Bioinformatics and Genomic Networks (3 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), Diet, Metabolism, and Disease (2 papers), Genomics and Chromatin Dynamics (2 papers), Software Reliability and Analysis Research (1 paper), Chronic Myeloid Leukemia Treatments (1 paper) and Teaching and Learning Programming (1 paper). The work is most often cited by research in Computer Science Applications (76 citations), Hematology (76 citations), Genetics (41 citations), Developmental and Educational Psychology (49 citations) and Molecular Biology (205 citations). Peter Saffrey has collaborated with scholars based in United Kingdom and Australia. Frequent co-authors include Stephen Draper, Patrick O’Donnell, Quintin Cutts, Helen C. Purchase, James Hetherington, David Vetrie, A Warner, Robert M. Seymour, Linzhong Li and Ashley Hamilton. Their work appears in journals such as Journal of The Royal Society Interface, Computer, Blood, Computers & Chemical Engineering and Cancer Discovery.
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.