John Gunn

6.9k total citations
128 papers, 4.0k citations indexed

About

John Gunn is a scholar working on Global and Planetary Change, Ecology and Earth-Surface Processes. According to data from OpenAlex, John Gunn has authored 128 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Global and Planetary Change, 41 papers in Ecology and 34 papers in Earth-Surface Processes. Recurrent topics in John Gunn's work include Karst Systems and Hydrogeology (32 papers), Fish Ecology and Management Studies (19 papers) and Forest Management and Policy (18 papers). John Gunn is often cited by papers focused on Karst Systems and Hydrogeology (32 papers), Fish Ecology and Management Studies (19 papers) and Forest Management and Policy (18 papers). John Gunn collaborates with scholars based in United Kingdom, United States and Australia. John Gunn's co-authors include Ronald E. Thresher, Paul J. Wood, Toby A. Patterson, Mark V. Bravington, Marinelle Basson, Mark A. Hindell, Sophie Bestley, Marc‐André Villard, Mark J. Ducey and David Saah and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

John Gunn

119 papers receiving 3.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Gunn United Kingdom 36 1.9k 1.5k 1.2k 473 446 128 4.0k
Susan Waldron United Kingdom 44 4.2k 2.2× 1.9k 1.3× 1.1k 0.9× 323 0.7× 617 1.4× 117 7.0k
John S. Kominoski United States 37 2.5k 1.3× 866 0.6× 1.3k 1.1× 359 0.8× 157 0.4× 109 4.1k
Edgardo M. Latrubesse Brazil 32 1.9k 1.0× 1.1k 0.7× 1.1k 0.9× 927 2.0× 245 0.5× 85 4.1k
Rebecca Fisher Australia 42 3.6k 1.8× 2.7k 1.8× 1.6k 1.3× 189 0.4× 424 1.0× 133 5.6k
Mary Seely South Africa 37 1.4k 0.7× 1.1k 0.7× 460 0.4× 388 0.8× 327 0.7× 123 4.1k
Laura L. Hess United States 25 1.7k 0.9× 2.9k 1.9× 894 0.7× 143 0.3× 1.0k 2.3× 44 5.0k
Song S. Qian United States 36 1.9k 1.0× 1.2k 0.8× 1.0k 0.8× 112 0.2× 484 1.1× 148 4.6k
Bruce R. Forsberg Brazil 41 2.7k 1.4× 1.8k 1.2× 1.8k 1.4× 251 0.5× 334 0.7× 113 6.4k
Robert Hall United Kingdom 65 1.6k 0.8× 814 0.6× 1.2k 1.0× 1.3k 2.8× 97 0.2× 256 18.1k
Gudrun Bornette France 42 4.0k 2.1× 763 0.5× 1.7k 1.4× 418 0.9× 144 0.3× 88 5.8k

Countries citing papers authored by John Gunn

Since Specialization
Citations

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

Fields of papers citing papers by John Gunn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Gunn

This figure shows the co-authorship network connecting the top 25 collaborators of John Gunn. A scholar is included among the top collaborators of John Gunn 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 John Gunn. John Gunn 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.
Ducey, Mark J., et al.. (2024). A post‐processing framework for assessing BirdNET identification accuracy and community composition. Ibis. 167(2). 530–542. 4 indexed citations
2.
Wachira, Peter, John M. Wagacha, Cecilia Mbae, et al.. (2024). Salmonella Typhi Haplotype 58 biofilm formation and genetic variation in isolates from typhoid fever patients with gallstones in an endemic setting in Kenya. Frontiers in Cellular and Infection Microbiology. 14. 1468866–1468866. 3 indexed citations
3.
Betts, Matthew G., Zhiqiang Yang, John Gunn, & Sean P. Healey. (2024). Congruent Long‐Term Declines in Carbon and Biodiversity Are a Signature of Forest Degradation. Global Change Biology. 30(11). e17541–e17541. 3 indexed citations
4.
5.
Crofts, Roger, John E. Gordon, José Brilha, et al.. (2022). Diretrizes para a geoconservação em áreas protegidas. 1 indexed citations
6.
Edwards, R. Lawrence, Yuri Dublyansky, Christoph Spötl, et al.. (2022). 230 Th ∕ U isochron dating of cryogenic cave carbonates. SHILAP Revista de lepidopterología. 4(2). 617–627. 7 indexed citations
7.
Buchholz, Thomas A., Matthew D. Hurteau, John Gunn, & David Saah. (2015). A global meta‐analysis of forest bioenergy greenhouse gas emission accounting studies. GCB Bioenergy. 8(2). 281–289. 73 indexed citations
8.
Gunn, John, et al.. (2011). Carbon Credit Eligibility under Area Regulation of Harvest Levels in Northern Minnesota. Forest Science. 57(6). 470–478. 7 indexed citations
9.
Gunn, John, David Ganz, & William S. Keeton. (2011). Biogenic vs. geologic carbon emissions and forest biomass energy production. GCB Bioenergy. 4(3). 239–242. 35 indexed citations
10.
Gunn, John, Andrew A. Whitman, & Mark J. Ducey. (2011). Late-Successional and Old-Growth Forest Carbon Temporal Dynamics in the Northern Forest (Northeastern USA). AGUFM. 2011. 22 indexed citations
11.
Bestley, Sophie, Toby A. Patterson, Mark A. Hindell, & John Gunn. (2010). Predicting feeding success in a migratory predator: integrating telemetry, environment, and modeling techniques. Ecology. 91(8). 2373–2384. 65 indexed citations
12.
Patterson, Toby A., Marinelle Basson, Mark V. Bravington, & John Gunn. (2009). Classifying movement behaviour in relation to environmental conditions using hidden Markov models. Journal of Animal Ecology. 78(6). 1113–1123. 217 indexed citations
13.
Asrat, Asfawossen, Andy Baker, Melanie J. Leng, John Gunn, & Mohammed Umer. (2008). Environmental monitoring in the Mechara caves, Southeastern Ethiopia: implications for speleothem palaeoclimate studies. International Journal of Speleology. 37(3). 207–220. 27 indexed citations
14.
Wood, P. J., John Gunn, & Simon D. Rundle. (2008). Response of benthic cave invertebrates to organic pollution events. Aquatic Conservation Marine and Freshwater Ecosystems. 18(6). 909–922. 29 indexed citations
15.
Gunn, John, Toby A. Patterson, & Julian G. Pepperell. (2003). Short-term movement and behaviour of black marlin Makaira indica in the Coral Sea as determined through a pop-up satellite archival tagging experiment. Marine and Freshwater Research. 54(4). 515–525. 48 indexed citations
16.
Wood, Paul J., John Gunn, & Jimmy L. Perkins. (2002). The impact of pollution on aquatic invertebrates within a subterranean ecosystem - out of sight out of mind. Loughborough University Institutional Repository (Loughborough University). 155(2). 223–237. 19 indexed citations
17.
Gunn, John, et al.. (1998). The hydrogeological effect of quarrying karstified limestone: options for prediction and mitigation. Quarterly Journal of Engineering Geology. 31(2). 147–157. 14 indexed citations
18.
Hunter, Colin, et al.. (1996). The Bacterial Quality of an Upland Stream. Water and Environment Journal. 10(4). 273–279. 9 indexed citations
19.
Thresher, Ronald E., Peter D. Nichols, John Gunn, Barry D. Bruce, & Dianne Furlani. (1992). Seagrass detritus as the basis of a coastal planktonic food chain. Limnology and Oceanography. 37(8). 1754–1758. 52 indexed citations
20.
Bottrell, Simon H. & John Gunn. (1991). Flow switching in the Castleton karst aquifer. 18(1). 47–49. 6 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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