Matthew G. Falk

494 total citations
15 papers, 405 citations indexed

About

Matthew G. Falk is a scholar working on Environmental Engineering, Molecular Biology and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Matthew G. Falk has authored 15 papers receiving a total of 405 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Environmental Engineering, 3 papers in Molecular Biology and 3 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Matthew G. Falk's work include Statistical Methods and Bayesian Inference (3 papers), Air Quality and Health Impacts (3 papers) and Bayesian Methods and Mixture Models (3 papers). Matthew G. Falk is often cited by papers focused on Statistical Methods and Bayesian Inference (3 papers), Air Quality and Health Impacts (3 papers) and Bayesian Methods and Mixture Models (3 papers). Matthew G. Falk collaborates with scholars based in Australia, Sweden and Vietnam. Matthew G. Falk's co-authors include Manoj K. Nayak, Patrick J. Collins, Robert N. Emery, Joanne C. Holloway, Lídia Morawska, Luke D. Knibbs, C. He, Tran Ngọc Quang, Bo Lundbäck and S Wall and has published in prestigious journals such as Environmental Science & Technology, European Respiratory Journal and Journal of Stored Products Research.

In The Last Decade

Matthew G. Falk

15 papers receiving 392 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 G. Falk Australia 10 167 140 111 106 67 15 405
Shijun Zhou China 12 51 0.3× 208 1.5× 145 1.3× 11 0.1× 41 0.6× 44 534
Laura Duque Portugal 11 162 1.0× 103 0.7× 29 0.3× 46 0.4× 14 0.2× 23 353
A. J. Gilbert United Kingdom 12 69 0.4× 283 2.0× 51 0.5× 38 0.4× 5 0.1× 45 510
Andrew Landers United States 9 149 0.9× 243 1.7× 21 0.2× 159 1.5× 2 0.0× 19 421
Alessandro Alivernini Italy 11 121 0.7× 113 0.8× 43 0.4× 137 1.3× 4 0.1× 21 403
Yiliang Huang Taiwan 10 222 1.3× 59 0.4× 12 0.1× 45 0.4× 19 0.3× 27 348
Abdel Hameed A. Awad Egypt 13 480 2.9× 54 0.4× 5 0.0× 113 1.1× 22 0.3× 24 597
Denise Johnstone Australia 10 207 1.2× 90 0.6× 27 0.2× 237 2.2× 4 0.1× 17 486
K. A. Sreejith India 8 21 0.1× 56 0.4× 9 0.1× 46 0.4× 26 0.4× 31 263
Kyu Rang Kim South Korea 14 228 1.4× 65 0.5× 5 0.0× 152 1.4× 5 0.1× 61 526

Countries citing papers authored by Matthew G. Falk

Since Specialization
Citations

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

Fields of papers citing papers by Matthew G. Falk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew G. Falk. 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 G. Falk. The network helps show where Matthew G. Falk may publish in the future.

Co-authorship network of co-authors of Matthew G. Falk

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

All Works

15 of 15 papers shown
1.
Nayak, Manoj K., Matthew G. Falk, Robert N. Emery, Patrick J. Collins, & Joanne C. Holloway. (2017). An analysis of trends, frequencies and factors influencing the development of resistance to phosphine in the red flour beetle Tribolium castaneum (Herbst) in Australia. Journal of Stored Products Research. 72. 35–48. 42 indexed citations
2.
Holloway, Joanne C., Matthew G. Falk, Robert N. Emery, Patrick J. Collins, & Manoj K. Nayak. (2016). Resistance to phosphine in Sitophilus oryzae in Australia: A national analysis of trends and frequencies over time and geographical spread. Journal of Stored Products Research. 69. 129–137. 55 indexed citations
3.
Collins, Patrick J., Matthew G. Falk, Manoj K. Nayak, Robert N. Emery, & Joanne C. Holloway. (2016). Monitoring resistance to phosphine in the lesser grain borer, Rhyzopertha dominica , in Australia: A national analysis of trends, storage types and geography in relation to resistance detections. Journal of Stored Products Research. 70. 25–36. 45 indexed citations
4.
Xu, Liqiang, R. D. Pyles, Shu‐Hua Chen, Erwan Monier, & Matthew G. Falk. (2016). Modeling Regional Carbon Dioxide Flux over California using the WRF‑ACASA Coupled Model. DSpace@MIT (Massachusetts Institute of Technology). 4 indexed citations
5.
Falk, Matthew G., Clair Alston‐Knox, Clare A. McGrory, et al.. (2015). Recent Bayesian approaches for spatial analysis of 2-D images with application to environmental modelling. Environmental and Ecological Statistics. 22(3). 571–600. 5 indexed citations
6.
Falk, Matthew G., Rebecca O’Leary, Manoj K. Nayak, Patrick J. Collins, & Samantha Low‐Choy. (2014). A Bayesian hurdle model for analysis of an insect resistance monitoring database. Environmental and Ecological Statistics. 22(2). 207–226. 9 indexed citations
7.
Falk, Matthew G., James McGree, & A. N. Pettitt. (2014). Sampling designs on stream networks using the pseudo-Bayesian approach. Environmental and Ecological Statistics. 21(4). 751–773. 10 indexed citations
8.
Quang, Tran Ngọc, C. He, Lídia Morawska, Luke D. Knibbs, & Matthew G. Falk. (2012). Vertical particle concentration profiles around urban office buildings. QUT ePrints (Queensland University of Technology). 77 indexed citations
9.
Morawska, Lídia, Congrong He, Rohan Jayaratne, et al.. (2011). Exposure to Particles from Laser Printers Operating within Office Workplaces. Environmental Science & Technology. 45(15). 6444–6452. 54 indexed citations
10.
Falk, Matthew G., R. Denham, & Kerrie Mengersen. (2010). Estimating Uncertainty in the Revised Universal Soil Loss Equation via Bayesian Melding. Journal of Agricultural Biological and Environmental Statistics. 15(1). 20–37. 14 indexed citations
11.
Denham, Robert, Matthew G. Falk, & Kerrie Mengersen. (2010). The Bayesian conditional independence model for measurement error: applications in ecology. Environmental and Ecological Statistics. 18(2). 239–255. 10 indexed citations
12.
Falk, Matthew G., et al.. (2010). A Regional Study of Urban Fluxes from a Coupled WRF-ACASA Model. 2010. 1 indexed citations
13.
Falk, Matthew G., Robert Denham, & Kerrie Mengersen. (2009). Spatially stratified sampling using auxiliary information for geostatistical mapping. Environmental and Ecological Statistics. 18(1). 93–108. 14 indexed citations
14.
Falk, Matthew G.. (2009). Estimating Uncertainty in the Revised Universal Soil Loss Equation via Bayesian Melding. Journal of Agricultural Biological and Environmental Statistics. 2920335004–18. 2 indexed citations
15.
Forsberg, Bertil, N Stjernberg, Matthew G. Falk, Bo Lundbäck, & S Wall. (1993). Air pollution levels, meteorological conditions and asthma symptoms. European Respiratory Journal. 6(8). 1109–1115. 63 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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