Tom H. E. Mason

719 total citations
21 papers, 466 citations indexed

About

Tom H. E. Mason is a scholar working on Ecology, Ecological Modeling and Nature and Landscape Conservation. According to data from OpenAlex, Tom H. E. Mason has authored 21 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Ecology, 10 papers in Ecological Modeling and 9 papers in Nature and Landscape Conservation. Recurrent topics in Tom H. E. Mason's work include Wildlife Ecology and Conservation (13 papers), Species Distribution and Climate Change (10 papers) and Ecology and Vegetation Dynamics Studies (9 papers). Tom H. E. Mason is often cited by papers focused on Wildlife Ecology and Conservation (13 papers), Species Distribution and Climate Change (10 papers) and Ecology and Vegetation Dynamics Studies (9 papers). Tom H. E. Mason collaborates with scholars based in United Kingdom, Switzerland and Italy. Tom H. E. Mason's co-authors include Philip A. Stephens, Marco Apollonio, Stephen G. Willis, Nils Bunnefeld, Daniel Fortin, Roberta Chirichella, Stefano Grignolio, Francesca Brivio, Stephen M. Redpath and Aidan Keane and has published in prestigious journals such as Science, PLoS ONE and The American Naturalist.

In The Last Decade

Tom H. E. Mason

20 papers receiving 460 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tom H. E. Mason United Kingdom 12 366 140 124 82 75 21 466
Joanna M. Burgar Canada 12 427 1.2× 144 1.0× 93 0.8× 136 1.7× 120 1.6× 20 561
Andrew M. Kittle Canada 12 547 1.5× 133 0.9× 88 0.7× 64 0.8× 93 1.2× 20 598
Owen T. Nevin Australia 11 394 1.1× 100 0.7× 96 0.8× 96 1.2× 93 1.2× 20 512
Elham Nourani Germany 14 416 1.1× 223 1.6× 107 0.9× 83 1.0× 85 1.1× 30 537
Tony W. Mong United States 13 385 1.1× 71 0.5× 87 0.7× 102 1.2× 87 1.2× 29 471
Lalenia Neufeld Canada 10 670 1.8× 156 1.1× 60 0.5× 106 1.3× 136 1.8× 15 721
Gokarna Jung Thapa Nepal 12 429 1.2× 212 1.5× 104 0.8× 70 0.9× 98 1.3× 24 530
Nicolas J. Deere United Kingdom 13 361 1.0× 124 0.9× 75 0.6× 142 1.7× 112 1.5× 31 527
Nicolas Courbin France 13 648 1.8× 107 0.8× 125 1.0× 152 1.9× 157 2.1× 23 744
Anak Pattanavibool Thailand 11 340 0.9× 129 0.9× 53 0.4× 61 0.7× 121 1.6× 19 399

Countries citing papers authored by Tom H. E. Mason

Since Specialization
Citations

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

Fields of papers citing papers by Tom H. E. Mason

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tom H. E. Mason. 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 Tom H. E. Mason. The network helps show where Tom H. E. Mason may publish in the future.

Co-authorship network of co-authors of Tom H. E. Mason

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

All Works

20 of 20 papers shown
1.
Howard, Christine, Tom H. E. Mason, Stephen R. Baillie, et al.. (2023). Explaining and predicting animal migration under global change. Diversity and Distributions. 30(2). 5 indexed citations
2.
3.
Shamoun‐Baranes, Judy, Silke Bauer, Jason W. Chapman, et al.. (2022). Meteorological Data Policies Needed to Support Biodiversity Monitoring with Weather Radar. Bulletin of the American Meteorological Society. 103(4). E1234–E1242. 9 indexed citations
4.
Mason, Tom H. E., Philip A. Stephens, Rhys E. Green, et al.. (2021). Using indices of species’ potential range to inform conservation status. Ecological Indicators. 123. 107343–107343. 5 indexed citations
5.
Shamoun‐Baranes, Judy, Silke Bauer, Jason W. Chapman, et al.. (2021). Weather radars' role in biodiversity monitoring. Science. 372(6539). 248–248. 15 indexed citations
6.
Chirichella, Roberta, Philip A. Stephens, Tom H. E. Mason, & Marco Apollonio. (2020). Contrasting Effects of Climate Change on Alpine Chamois. Journal of Wildlife Management. 85(1). 109–120. 15 indexed citations
7.
John, Freya A. V. St., Tom H. E. Mason, & Nils Bunnefeld. (2020). The role of risk perception and affect in predicting support for conservation policy under rapid ecosystem change. Conservation Science and Practice. 3(2). e316–e316. 4 indexed citations
8.
9.
Littlewood, Nick A., et al.. (2019). The influence of different aspects of grouse moorland management on nontarget bird assemblages. Ecology and Evolution. 9(19). 11089–11101. 9 indexed citations
10.
Mason, Tom H. E., et al.. (2018). Wicked conflict: Using wicked problem thinking for holistic management of conservation conflict. Conservation Letters. 11(6). e12460–e12460. 65 indexed citations
11.
Mason, Tom H. E., Aidan Keane, Stephen M. Redpath, & Nils Bunnefeld. (2017). The changing environment of conservation conflict: Geese and farming in Scotland. Journal of Applied Ecology. 55(2). 651–662. 32 indexed citations
12.
Zhao, Qing, et al.. (2017). Robust predictive performance of indicator species despite different co-occurrence patterns of birds in natural and managed boreal forests. Forest Ecology and Management. 397. 108–116. 5 indexed citations
13.
Mason, Tom H. E. & Daniel Fortin. (2017). Functional responses in animal movement explain spatial heterogeneity in animal–habitat relationships. Journal of Animal Ecology. 86(4). 960–971. 31 indexed citations
14.
Mason, Tom H. E., Francesca Brivio, Philip A. Stephens, Marco Apollonio, & Stefano Grignolio. (2017). The behavioral trade-off between thermoregulation and foraging in a heat-sensitive species. Behavioral Ecology. 28(3). 908–918. 61 indexed citations
15.
Mason, Tom H. E., Philip A. Stephens, Marco Apollonio, & Stephen G. Willis. (2014). Predicting potential responses to future climate in an alpine ungulate: interspecific interactions exceed climate effects. Global Change Biology. 20(12). 3872–3882. 87 indexed citations
16.
Mason, Tom H. E., Marco Apollonio, Roberta Chirichella, Stephen G. Willis, & Philip A. Stephens. (2014). Environmental change and long-term body mass declines in an alpine mammal. Frontiers in Zoology. 11(1). 36 indexed citations
17.
Mason, Tom H. E., Philip A. Stephens, Stephen G. Willis, et al.. (2012). Intraseasonal Variation in Reproductive Effort: Young Males Finish Last. The American Naturalist. 180(6). 823–830. 13 indexed citations
18.
Mason, Tom H. E., Roberta Chirichella, Shane A. Richards, et al.. (2011). Contrasting Life Histories in Neighbouring Populations of a Large Mammal. PLoS ONE. 6(11). e28002–e28002. 24 indexed citations
19.
Petersen, Stephen D., et al.. (2006). Species Identification of Tarantulas using Exuviae for International Wildlife Law Enforcement. Conservation Genetics. 8(2). 497–502. 29 indexed citations
20.
Mason, Tom H. E.. (1992). Sullivan made the right choice in rejecting the Oregon plan.. PubMed. 2(1). 85–8. 1 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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