Greg McInerny

1.7k total citations
19 papers, 1.1k citations indexed

About

Greg McInerny is a scholar working on Ecological Modeling, Nature and Landscape Conservation and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Greg McInerny has authored 19 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Ecological Modeling, 10 papers in Nature and Landscape Conservation and 7 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Greg McInerny's work include Species Distribution and Climate Change (15 papers), Ecology and Vegetation Dynamics Studies (10 papers) and Plant and animal studies (6 papers). Greg McInerny is often cited by papers focused on Species Distribution and Climate Change (15 papers), Ecology and Vegetation Dynamics Studies (10 papers) and Plant and animal studies (6 papers). Greg McInerny collaborates with scholars based in United Kingdom, Netherlands and United States. Greg McInerny's co-authors include Rampal S. Etienne, Drew W. Purves, David J. Gavaghan, Justin M. J. Travis, Robert B. O’Hara, Stephen Emmott, Richard Harper, Kenton O’Hara, Lucas Joppa and Katja Schiffers and has published in prestigious journals such as Science, Trends in Ecology & Evolution and Proceedings of the Royal Society B Biological Sciences.

In The Last Decade

Greg McInerny

19 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Greg McInerny United Kingdom 15 654 507 434 253 184 19 1.1k
Marshall J. Iliff United States 9 1.2k 1.8× 554 1.1× 1.1k 2.4× 312 1.2× 281 1.5× 18 2.0k
Brian L. Sullivan United States 8 1.2k 1.8× 550 1.1× 1.1k 2.6× 305 1.2× 330 1.8× 18 2.0k
Sarah R. Supp United States 17 366 0.6× 417 0.8× 487 1.1× 211 0.8× 272 1.5× 31 1.0k
Paul Flemons Australia 9 467 0.7× 275 0.5× 337 0.8× 204 0.8× 135 0.7× 20 902
Elizabeth R. Ellwood United States 20 907 1.4× 463 0.9× 604 1.4× 628 2.5× 332 1.8× 42 1.7k
J. Mason Heberling United States 20 601 0.9× 628 1.2× 456 1.1× 583 2.3× 265 1.4× 41 1.4k
Tina Heger Germany 17 205 0.3× 642 1.3× 544 1.3× 457 1.8× 262 1.4× 48 1.3k
Hillary K. Burgess United States 9 612 0.9× 153 0.3× 475 1.1× 146 0.6× 295 1.6× 18 1.3k
Dave Vieglais United States 11 910 1.4× 444 0.9× 738 1.7× 342 1.4× 230 1.3× 24 1.9k
Benno I. Simmons United Kingdom 20 423 0.6× 588 1.2× 629 1.4× 536 2.1× 444 2.4× 37 1.7k

Countries citing papers authored by Greg McInerny

Since Specialization
Citations

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

Fields of papers citing papers by Greg McInerny

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Greg McInerny

This figure shows the co-authorship network connecting the top 25 collaborators of Greg McInerny. A scholar is included among the top collaborators of Greg McInerny 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 Greg McInerny. Greg McInerny 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.
Albuquerque, João Porto de, et al.. (2024). Co-designing grounded visualisations of the Food-Water-Energy nexus to enable urban sustainability transformations. Environmental Science & Policy. 154. 103712–103712. 1 indexed citations
2.
Golding, Nick, Tom August, Tim Lucas, et al.. (2017). The zoon r package for reproducible and shareable species distribution modelling. Methods in Ecology and Evolution. 9(2). 260–268. 29 indexed citations
3.
Roberts, David L. & Greg McInerny. (2016). When is a species extinct? Quantitative inference of threat and extinction from herbarium data. Lankesteriana. 3(2). 1 indexed citations
4.
McInerny, Greg, et al.. (2015). Scientists and software – surveying the species distribution modelling community. Diversity and Distributions. 21(3). 258–267. 69 indexed citations
5.
McInerny, Greg, Min Chen, Robin Freeman, et al.. (2014). Information visualisation for science and policy: engaging users and avoiding bias. Trends in Ecology & Evolution. 29(3). 148–157. 96 indexed citations
6.
Schiffers, Katja, Frank M. Schurr, Justin M. J. Travis, et al.. (2014). Landscape structure and genetic architecture jointly impact rates of niche evolution. Ecography. 37(12). 1218–1229. 24 indexed citations
7.
Harfoot, Michael, Derek P. Tittensor, Tim Newbold, et al.. (2013). Integrated assessment models for ecologists: the present and the future. Global Ecology and Biogeography. 23(2). 124–143. 52 indexed citations
8.
Joppa, Lucas, Greg McInerny, Richard Harper, et al.. (2013). Troubling Trends in Scientific Software Use. Science. 340(6134). 814–815. 129 indexed citations
9.
McInerny, Greg & Rampal S. Etienne. (2012). Ditch the niche – is the niche a useful concept in ecology or species distribution modelling?. Journal of Biogeography. 39(12). 2096–2102. 64 indexed citations
10.
McInerny, Greg & Rampal S. Etienne. (2012). Pitch the niche – taking responsibility for the concepts we use in ecology and species distribution modelling. Journal of Biogeography. 39(12). 2112–2118. 28 indexed citations
11.
McInerny, Greg. (2012). Embedding visual communication into scientific practice. Trends in Ecology & Evolution. 28(1). 13–14. 3 indexed citations
12.
McInerny, Greg & Rampal S. Etienne. (2012). Stitch the niche – a practical philosophy and visual schematic for the niche concept. Journal of Biogeography. 39(12). 2103–2111. 43 indexed citations
13.
Marion, Glenn, Greg McInerny, Jörn Pagel, et al.. (2012). Parameter and uncertainty estimation for process‐oriented population and distribution models: data, statistics and the niche. Journal of Biogeography. 39(12). 2225–2239. 28 indexed citations
14.
Kissling, W. Daniel, Carsten F. Dormann, Jürgen Groeneveld, et al.. (2011). Towards novel approaches to modelling biotic interactions in multispecies assemblages at large spatial extents. Journal of Biogeography. 39(12). 2163–2178. 322 indexed citations
15.
McInerny, Greg & Drew W. Purves. (2011). Fine‐scale environmental variation in species distribution modelling: regression dilution, latent variables and neighbourly advice. Methods in Ecology and Evolution. 2(3). 248–257. 61 indexed citations
16.
McInerny, Greg, et al.. (2009). How range shifts induced by climate change affect neutral evolution. Proceedings of the Royal Society B Biological Sciences. 276(1661). 1527–1534. 58 indexed citations
17.
McInerny, Greg, Justin M. J. Travis, & Calvin Dytham. (2007). Range shifting on a fragmented landscape. Ecological Informatics. 2(1). 1–8. 43 indexed citations
18.
McInerny, Greg, David L. Roberts, A. J. Davy, & Phillip Cribb. (2006). Significance of Sighting Rate in Inferring Extinction and Threat. Conservation Biology. 20(2). 562–567. 66 indexed citations
19.
Roberts, David L., Justin Moat, & Greg McInerny. (2005). What have herbaria ever done for us? The role of herbaria in conservation assessments. Kent Academic Repository (University of Kent). 4 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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