Andrew Reeson

3.0k total citations
72 papers, 2.1k citations indexed

About

Andrew Reeson is a scholar working on Economics and Econometrics, Global and Planetary Change and Management Science and Operations Research. According to data from OpenAlex, Andrew Reeson has authored 72 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Economics and Econometrics, 16 papers in Global and Planetary Change and 10 papers in Management Science and Operations Research. Recurrent topics in Andrew Reeson's work include Economic and Environmental Valuation (17 papers), Forest Management and Policy (9 papers) and Environmental Conservation and Management (8 papers). Andrew Reeson is often cited by papers focused on Economic and Environmental Valuation (17 papers), Forest Management and Policy (9 papers) and Environmental Conservation and Management (8 papers). Andrew Reeson collaborates with scholars based in Australia, United States and United Kingdom. Andrew Reeson's co-authors include Kenneth Wilson, Sheena C. Cotter, J. K. Pell, Scott Heckbert, John Tisdell, Tim Baynes, Marta Kasper, Andrew D. Austin, Dave Goulson and Rosemary S. Hails and has published in prestigious journals such as Scientific Reports, Global Change Biology and Ecology Letters.

In The Last Decade

Andrew Reeson

69 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Andrew Reeson Australia	22	643	473	461	373	348	72	2.1k
C.J.M. Musters Netherlands	28	175 0.3×	407 0.9×	267 0.6×	137 0.4×	213 0.6×	98	2.3k
Benjamin J. Richardson Australia	19	165 0.3×	407 0.9×	359 0.8×	227 0.6×	549 1.6×	154	2.6k
Peter Alexander United Kingdom	31	184 0.3×	957 2.0×	369 0.8×	376 1.0×	123 0.4×	81	3.5k
Thomas Döring Germany	34	842 1.3×	170 0.4×	871 1.9×	321 0.9×	293 0.8×	180	4.1k
John Mumford United Kingdom	31	1.2k 1.8×	384 0.8×	319 0.7×	90 0.2×	167 0.5×	154	2.9k
Guillaume Martin France	26	99 0.2×	354 0.7×	799 1.7×	113 0.3×	90 0.3×	83	2.8k
Paul Teng United States	33	440 0.7×	216 0.5×	793 1.7×	128 0.3×	437 1.3×	189	5.3k
Halley E. Froehlich United States	32	123 0.2×	2.0k 4.3×	199 0.4×	253 0.7×	193 0.6×	72	4.7k
Robert W. Poole United States	22	588 0.9×	272 0.6×	926 2.0×	189 0.5×	555 1.6×	112	3.2k

Countries citing papers authored by Andrew Reeson

Since Specialization

Citations

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

Fields of papers citing papers by Andrew Reeson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew Reeson. 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 Andrew Reeson. The network helps show where Andrew Reeson may publish in the future.

Co-authorship network of co-authors of Andrew Reeson

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

All Works

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20 of 20 papers shown

Fisher, Nicole, Brendan J. Lepschi, Alexander N. Schmidt‐Lebuhn, et al.. (2025). A vision of human–AI collaboration for enhanced biological collection curation and research. BioScience. 75(6). 457–471. 3 indexed citations

Chadès, Iadine, Melanie J. McGrath, Erin Bohensky, et al.. (2025). Four Compelling Reasons to Urgently Integrate AI Development With Humanities, Social and Economics Sciences. Monash University Research Portal (Monash University). 6(4). 453–457.

Evans, David, et al.. (2024). Carbon farming diffusion in Australia. Global Environmental Change. 89. 102921–102921. 2 indexed citations

Haller, Armin, et al.. (2024). Investigating the effects of nudges to promote knowledge-sharing behaviours on MOOC forums: a mixed method design. Behaviour and Information Technology. 44(2). 289–314. 5 indexed citations

Evans, David, Claire Mason, Haohui Chen, & Andrew Reeson. (2024). Accelerated demand for interpersonal skills in the Australian post-pandemic labour market. Nature Human Behaviour. 8(1). 32–42. 3 indexed citations

Evans, David, et al.. (2023). The effect of carbon price on low carbon innovation. Scientific Reports. 13(1). 9525–9525. 9 indexed citations

Fisher, Nicole, Brendan J. Lepschi, Alexander N. Schmidt‐Lebuhn, et al.. (2023). Improving Biological Collections Data through Human-AI Collaboration. Biodiversity Information Science and Standards. 7. 1 indexed citations

Evans, David, Claire Mason, Haohui Chen, & Andrew Reeson. (2023). An algorithm for predicting job vacancies using online job postings in Australia. Humanities and Social Sciences Communications. 10(1). 2 indexed citations

Kakoschke, Naomi, et al.. (2023). The invisible burden of managing COVID-19 for Australian women: Cognitive labor and public health information. Frontiers in Public Health. 11. 1041944–1041944.

10.

Mason, Claire, et al.. (2023). Collaborative Intelligence: A scoping review of current applications. 9 indexed citations

11.

Brindal, Emily, Naomi Kakoschke, Andrew Reeson, & David Evans. (2022). Madness of the crowd: Understanding mass behaviors through a multidisciplinary lens. Frontiers in Psychology. 13. 924511–924511. 2 indexed citations

12.

Chen, Haohui, Cécile Paris, & Andrew Reeson. (2020). The impact of social ties and SARS memory on the public awareness of 2019 novel coronavirus (SARS-CoV-2) outbreak. Scientific Reports. 10(1). 18241–18241. 15 indexed citations

13.

Rolls, David A., et al.. (2019). Before-after evaluation of patient length of stay in a rehabilitation context following implementation of an electronic patient journey board. International Journal of Medical Informatics. 134. 104042–104042. 7 indexed citations

14.

Hussain, M. Sazzad, Jane Li, Emily Brindal, et al.. (2017). Supporting the Delivery of Total Knee Replacements Care for Both Patients and Their Clinicians With a Mobile App and Web-Based Tool: Randomized Controlled Trial Protocol. JMIR Research Protocols. 6(3). e32–e32. 20 indexed citations

15.

Reeson, Andrew, et al.. (2017). Cultivating Trust: Towards an Australian Agricultural Data Market. CSIRO. 3 indexed citations

16.

Whitten, Stuart M., Andrew Reeson, Jill Windle, & John Rolfe. (2012). Designing conservation tenders to support landholder participation: A framework and case study assessment. Ecosystem Services. 6. 82–92. 55 indexed citations

17.

Heckbert, Scott, Tim Baynes, & Andrew Reeson. (2010). Agent‐based modeling in ecological economics. Annals of the New York Academy of Sciences. 1185(1). 39–53. 178 indexed citations

18.

Kasper, Marta, et al.. (2004). Assessment of prey overlap between a native (Polistes humilis) and an introduced (Vespula germanica) social wasp using morphology and phylogenetic analyses of 16S rDNA. Molecular Ecology. 13(7). 2037–2048. 61 indexed citations

19.

Reeson, Andrew, et al.. (2003). Application of 16S rDNA‐DGGE to examine the microbial ecology associated with a social wasp Vespula germanica. Insect Molecular Biology. 12(1). 85–91. 81 indexed citations

20.

Reeson, Andrew, Kenneth Wilson, J. S. Cory, et al.. (2000). Effects of phenotypic plasticity on pathogen transmission in the field in a Lepidoptera-NPV system. Oecologia. 124(3). 373–380. 50 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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