Matt Halstead

1.4k total citations
11 papers, 875 citations indexed

About

Matt Halstead is a scholar working on Molecular Biology, Biophysics and Computational Theory and Mathematics. According to data from OpenAlex, Matt Halstead has authored 11 papers receiving a total of 875 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Biophysics and 2 papers in Computational Theory and Mathematics. Recurrent topics in Matt Halstead's work include Gene Regulatory Network Analysis (9 papers), Cell Image Analysis Techniques (6 papers) and Bioinformatics and Genomic Networks (4 papers). Matt Halstead is often cited by papers focused on Gene Regulatory Network Analysis (9 papers), Cell Image Analysis Techniques (6 papers) and Bioinformatics and Genomic Networks (4 papers). Matt Halstead collaborates with scholars based in New Zealand, United Kingdom and United States. Matt Halstead's co-authors include Poul Nielsen, Catherine M. Lloyd, Edmund J. Crampin, Michael Hucka, Bruce E. Shapiro, Pedro Mendes, Andrew Finney, Upinder S. Bhalla, Julio Collado‐Vides and Barry L. Wanner and has published in prestigious journals such as Nature Biotechnology, Bioinformatics and BMC Bioinformatics.

In The Last Decade

Matt Halstead

11 papers receiving 835 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Matt Halstead New Zealand	8	738	100	79	78	67	11	875
Andrew Finney United States	12	1.1k 1.5×	76 0.8×	79 1.0×	122 1.6×	101 1.5×	18	1.3k
Bruce E. Shapiro United States	14	1.3k 1.7×	58 0.6×	65 0.8×	101 1.3×	72 1.1×	26	1.7k
Andrew K. Miller United States	7	318 0.4×	100 1.0×	51 0.6×	26 0.3×	23 0.3×	11	432
Sarala Wimalaratne United Kingdom	13	609 0.8×	124 1.2×	41 0.5×	41 0.5×	71 1.1×	24	766
Sarah Keating United Kingdom	14	1.0k 1.4×	72 0.7×	58 0.7×	157 2.0×	102 1.5×	27	1.2k
Nicolás Rodríguez United Kingdom	14	918 1.2×	104 1.0×	53 0.7×	90 1.2×	82 1.2×	29	1.1k
Steve McKeever United Kingdom	9	174 0.2×	60 0.6×	25 0.3×	29 0.4×	28 0.4×	51	341
Martin Golebiewski Germany	14	572 0.8×	168 1.7×	51 0.6×	66 0.8×	39 0.6×	35	734
Katsuyuki Yugi Japan	17	1.0k 1.4×	16 0.2×	48 0.6×	89 1.1×	60 0.9×	37	1.2k
Harish Dharuri Netherlands	10	464 0.6×	64 0.6×	16 0.2×	32 0.4×	39 0.6×	10	655

Countries citing papers authored by Matt Halstead

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Matt Halstead

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

All Works

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

Halstead, Matt, et al.. (2021). The Bounding Problem: Single Event Effect Rate Prediction Using Markov Chain Monte Carlo. 54. 1–6. 2 indexed citations

Cuellar, Autumn, Melanie Nelson, Matt Halstead, et al.. (2015). The CellML 1.1 Specification. Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics. 12(2). 4–85. 10 indexed citations

Cuellar, Autumn, Melanie Nelson, Matt Halstead, et al.. (2015). The CellML 1.1 Specification. PubMed. 12(2). 259–259. 14 indexed citations

Miller, Andrew, Randall D. Britten, Michael T. Cooling, et al.. (2011). Revision history aware repositories of computational models of biological systems. BMC Bioinformatics. 12(1). 22–22. 12 indexed citations

Miller, Andrew K., Justin Marsh, Alan Garny, et al.. (2010). An overview of the CellML API and its implementation. BMC Bioinformatics. 11(1). 178–178. 56 indexed citations

Wimalaratne, Sarala, Matt Halstead, Catherine M. Lloyd, Edmund J. Crampin, & Poul Nielsen. (2009). Biophysical annotation and representation of CellML models. Bioinformatics. 25(17). 2263–2270. 8 indexed citations

Wimalaratne, Sarala, Matt Halstead, Catherine M. Lloyd, et al.. (2009). A method for visualizing CellML models. Bioinformatics. 25(22). 3012–3019. 7 indexed citations

Beard, Daniel, Randall D. Britten, Michael T. Cooling, et al.. (2009). CellML metadata standards, associated tools and repositories. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 367(1895). 1845–1867. 44 indexed citations

Nickerson, David, et al.. (2006). Toward a Curated CellML Model Repository. PubMed. 2006. 4237–4240. 4 indexed citations

10.

Novère, Nicolas Le, Andrew Finney, Michael Hucka, et al.. (2005). Minimum information requested in the annotation of biochemical models (MIRIAM). Nature Biotechnology. 23(12). 1509–1515. 390 indexed citations

11.

Lloyd, Catherine M., Matt Halstead, & Poul Nielsen. (2004). CellML: its future, present and past. Progress in Biophysics and Molecular Biology. 85(2-3). 433–450. 328 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.

Explore authors with similar magnitude of impact