Matthew B.J. Purss

706 total citations
19 papers, 259 citations indexed

About

Matthew B.J. Purss is a scholar working on Computer Networks and Communications, Geophysics and Ecology. According to data from OpenAlex, Matthew B.J. Purss has authored 19 papers receiving a total of 259 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Networks and Communications, 6 papers in Geophysics and 4 papers in Ecology. Recurrent topics in Matthew B.J. Purss's work include Distributed and Parallel Computing Systems (6 papers), Geophysical and Geoelectrical Methods (5 papers) and Geophysical Methods and Applications (3 papers). Matthew B.J. Purss is often cited by papers focused on Distributed and Parallel Computing Systems (6 papers), Geophysical and Geoelectrical Methods (5 papers) and Geophysical Methods and Applications (3 papers). Matthew B.J. Purss collaborates with scholars based in Australia, China and New Zealand. Matthew B.J. Purss's co-authors include Jin Ben, Alex Ip, Simon Oliver, Adam Lewis, James Cull, Faramarz Samavati, William A. Maher, Zoheir Sabeur, Peter Strobl and Stuart Minchin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Geophysics and Ecological Indicators.

In The Last Decade

Matthew B.J. Purss

19 papers receiving 256 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew B.J. Purss Australia 10 74 63 60 47 40 19 259
Howard Veregin United States 8 52 0.7× 55 0.9× 44 0.7× 111 2.4× 66 1.6× 21 267
Karl–Heinrich Anders Austria 8 62 0.8× 60 1.0× 76 1.3× 72 1.5× 147 3.7× 19 307
Laura Toma United States 10 63 0.9× 75 1.2× 30 0.5× 13 0.3× 49 1.2× 21 308
Christopher Lynnes United States 12 68 0.9× 35 0.6× 16 0.3× 32 0.7× 26 0.7× 58 468
M. Molenaar Netherlands 12 91 1.2× 123 2.0× 77 1.3× 129 2.7× 148 3.7× 71 442
Jan Gregersen Netherlands 4 104 1.4× 16 0.3× 16 0.3× 21 0.4× 81 2.0× 5 333
Ximeng Cheng China 10 129 1.7× 26 0.4× 22 0.4× 35 0.7× 81 2.0× 16 436
Jean-Philippe Richard Switzerland 7 112 1.5× 24 0.4× 112 1.9× 48 1.0× 58 1.4× 9 289
D. Nadeau United States 8 76 1.0× 20 0.3× 41 0.7× 12 0.3× 24 0.6× 10 298
Z. Łubniewski Poland 10 33 0.4× 12 0.2× 31 0.5× 22 0.5× 67 1.7× 42 260

Countries citing papers authored by Matthew B.J. Purss

Since Specialization
Citations

This map shows the geographic impact of Matthew B.J. Purss'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 B.J. Purss with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew B.J. Purss more than expected).

Fields of papers citing papers by Matthew B.J. Purss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew B.J. Purss. 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 B.J. Purss. The network helps show where Matthew B.J. Purss may publish in the future.

Co-authorship network of co-authors of Matthew B.J. Purss

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

All Works

19 of 19 papers shown
1.
Purss, Matthew B.J., et al.. (2022). Global Reference Grids for Big Earth Data. Big Earth Data. 6(3). 251–255. 10 indexed citations
2.
Purss, Matthew B.J., et al.. (2022). ROADMAP FOR INTEROPERABLE 3D DATA MODELS IN OGC APIS AND OTHER DATA EXCHANGE APPROACHES. SHILAP Revista de lepidopterología. XLVIII-4/W4-2022. 13–20. 1 indexed citations
3.
Purss, Matthew B.J., et al.. (2019). Datacubes: A Discrete Global Grid Systems Perspective. Cartographica The International Journal for Geographic Information and Geovisualization. 54(1). 63–71. 31 indexed citations
4.
Maher, William A., et al.. (2018). Cellular energy allocation analysis of multiple marine bivalves using near infrared spectroscopy. Ecological Indicators. 90. 247–256. 9 indexed citations
5.
Maher, William A., et al.. (2017). Near infra-red spectroscopy quantitative modelling of bivalve protein, lipid and glycogen composition using single-species versus multi-species calibration and validation sets. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 193. 537–557. 13 indexed citations
6.
Purss, Matthew B.J., et al.. (2017). Applying discrete global grid systems to sensor networks and the Internet of Things. 5581–5583. 7 indexed citations
7.
Purss, Matthew B.J.. (2017). Topic 21: Discrete Global Grid Systems Abstract Specification. 18 indexed citations
8.
Purss, Matthew B.J., et al.. (2016). The OGC® Discrete Global Grid System core standard: A framework for rapid geospatial integration. 3610–3613. 27 indexed citations
9.
Percivall, George, et al.. (2015). Discrete Global Grid Systems - A Framework for the next Era in Big Earth Data. AGU Fall Meeting Abstracts. 2015. 2 indexed citations
10.
Lewis, Adam, Leo Lymburner, Matthew B.J. Purss, et al.. (2015). Rapid, high-resolution detection of environmental change over continental scales from satellite data – the Earth Observation Data Cube. International Journal of Digital Earth. 9(1). 106–111. 85 indexed citations
11.
Purss, Matthew B.J., Adam Lewis, Simon Oliver, et al.. (2015). Unlocking the Australian Landsat Archive – From dark data to High Performance Data infrastructures. 6. 135–140. 26 indexed citations
12.
Purss, Matthew B.J., et al.. (2013). The New world of ';Big Data' Analytics and High Performance Data: A Paradigm shift in the way we interact with very large Earth Observation datasets (Invited). AGUFM. 2013. 2 indexed citations
13.
Purss, Matthew B.J., Roger Edberg, Alex Ip, et al.. (2013). Exploiting Data Intensive Applications on High Performance Computers to Unlock Australia's Landsat Archive. EGU General Assembly Conference Abstracts. 2 indexed citations
14.
Purss, Matthew B.J. & James Cull. (2005). A new iterative method for computing the magnetic field at high magnetic susceptibilities. Geophysics. 70(5). L53–L62. 10 indexed citations
15.
Purss, Matthew B.J. & James Cull. (2003). B-Field Probes for Downhole Magnetometric Resistivity Surveys. Exploration Geophysics. 34(4). 233–240. 1 indexed citations
16.
Purss, Matthew B.J., James Cull, & Michael Asten. (2003). Simultaneous modelling of the phase and amplitude components of downhole magnetometric resistivity data. Journal of Applied Geophysics. 54(1-2). 1–14. 2 indexed citations
17.
Purss, Matthew B.J., Michael Asten, & James Cull. (2001). Modelling the Magnetic Induced Polarisation (MIP) Response from the Down-Hole Magnetometric Resistivity (DHMMR) Method. ASEG Extended Abstracts. 2001(1). 1–4. 2 indexed citations
18.
Purss, Matthew B.J., et al.. (2001). Iterative Forward Magnetic Modelling with Corrections for Self-Demagnetisation. ASEG Extended Abstracts. 2001(1). 1–4. 2 indexed citations
19.
Purss, Matthew B.J. & J. P. Cull. (2001). Heat‐flow data in western Victoria. Australian Journal of Earth Sciences. 48(1). 1–4. 9 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.

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