Matt Halstead
- Biophysics top 5%
- Cell Image Analysis Techniques 6
- Molecular Biology top 10%
- Gene Regulatory Network Analysis 9
- Bioinformatics and Genomic Networks 4
- Single-cell and spatial transcriptomics 3
- Microbial Metabolic Engineering and Bioproduction 3
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- Cellular Automata and Applications 2
- Modeling and Simulation top 10%
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- Radiation Effects in Electronics 1
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- Probabilistic and Robust Engineering Design 1
- Co-authors
- Poul NielsenCatherine M. LloydEdmund J. CrampinHerbert M. SauroMichael HuckaPedro MendesFabien CampagneBruce E. Shapiro
- Journals
- BMC Bioinformatics (2 papers)Bioinformatics (2 papers)Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (1 paper)
- Partner nations
- New ZealandUnited KingdomUnited States
In The Last Decade
Matt Halstead
11 papers receiving 835 citations
Peers
Comparison fields: 5 of 99
- Information Systems and Management 100
- Biophysics 79
- Molecular Biology 738
- Computational Theory and Mathematics 67
- Modeling and Simulation 18
Countries citing papers authored by Matt Halstead
This map shows the geographic impact of Matt Halstead'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 Matt Halstead with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matt Halstead more than expected).
Fields of papers citing papers by Matt Halstead
This network shows the impact of papers produced by Matt Halstead. 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 Matt Halstead. The network helps show where Matt Halstead may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Matt Halstead, 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 | 2021 | 2 | |
| 2 | 2015 | 10 | |
| 3 | 2015 | 14 | |
| 4 | 2011 | 12 | |
| 5 | 2010 | 56 | |
| 6 | 2009 | 8 | |
| 7 | 2009 | 7 | |
| 8 | 2009 | 44 | |
| 9 | 2006 | 4 | |
| 10 | 2005 | 390 | |
| 11 | 2004 | 328 |
About Matt Halstead
Matt Halstead is a scholar working on Biophysics, Statistics, Probability and Uncertainty and Molecular Biology, having authored 11 papers that have together received 875 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (9 papers), Cell Image Analysis Techniques (6 papers), Bioinformatics and Genomic Networks (4 papers), Single-cell and spatial transcriptomics (3 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), Cellular Automata and Applications (2 papers), Radiation Effects in Electronics (1 paper) and Probabilistic and Robust Engineering Design (1 paper). The work is most often cited by research in Information Systems and Management (100 citations), Biophysics (79 citations) and Molecular Biology (738 citations). Matt Halstead has collaborated with scholars based in New Zealand, United Kingdom and United States. Frequent co-authors include Poul Nielsen, Catherine M. Lloyd, Edmund J. Crampin, Herbert M. Sauro, Michael Hucka, Pedro Mendes, Fabien Campagne, Bruce E. Shapiro, Jacky L. Snoep and Barry L. Wanner. Their work appears in journals such as BMC Bioinformatics, Bioinformatics, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, Progress in Biophysics and Molecular Biology and Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative 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.