Matt D.B. Halstead

1.4k citations
10 papers · 1.0k · h-index 8

Impact in

Papers in

    • Cell Image Analysis Techniques 4
    • Gene Regulatory Network Analysis 7
    • Microbial Metabolic Engineering and Bioproduction 2
    • Bioinformatics and Genomic Networks 2
    • Single-cell and spatial transcriptomics 2

Matt D.B. Halstead

10 papers receiving 977 citations

Peers

Matt D.B. Halstead
Comparison fields: 5 of 99
  • Information Systems and Management 105
  • Biophysics 70
  • Molecular Biology 781
  • Modeling and Simulation 20
  • Computational Theory and Mathematics 63
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Citations per field
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Citations per year

Countries citing papers authored by Matt D.B. Halstead

Since Specialization
Citations

This map shows the geographic impact of Matt D.B. 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 D.B. 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 D.B. Halstead more than expected).

Fields of papers citing papers by Matt D.B. Halstead

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matt D.B. 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 D.B. Halstead. The network helps show where Matt D.B. Halstead may publish in the future.

Co-authors

The 25 scholars most cited alongside Matt D.B. Halstead, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Matt D.B. Halstead Line = papers co-authored together Matt D.B. Halstead links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2005466
2 2004371
3 201067
4 200955
5 201115
6 201512
7 200911
8 200910
9 20064
10 20212

About Matt D.B. Halstead

Matt D.B. Halstead is a scholar working on Biophysics, Molecular Biology, Statistics, Probability and Uncertainty, Safety, Risk, Reliability and Quality and Computational Theory and Mathematics, having authored 10 papers that have together received 1.0k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (7 papers), Cell Image Analysis Techniques (4 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Bioinformatics and Genomic Networks (2 papers), Single-cell and spatial transcriptomics (2 papers), Radiation Effects in Electronics (1 paper), Probabilistic and Robust Engineering Design (1 paper) and Reliability and Maintenance Optimization (1 paper). The work is most often cited by research in Information Systems and Management (105 citations), Biophysics (70 citations), Molecular Biology (781 citations), Modeling and Simulation (20 citations) and Computational Theory and Mathematics (63 citations). Matt D.B. Halstead has collaborated with scholars based in New Zealand, United Kingdom and United States. Frequent co-authors include Catherine M. Lloyd, Poul F. Nielsen, Edmund J. Crampin, Andrew Finney, Nicolas Gambardella Le Novère, Bruce E. Shapiro, Jacky L. Snoep, Pedro Mendes, Upinder S. Bhalla and Barry L. Wanner. Their work appears in journals such as Bioinformatics, BMC Bioinformatics, Progress in Biophysics and Molecular Biology, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences and Nature Biotechnology.

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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