Joanne E. Clapcott

1.2k total citations
39 papers, 737 citations indexed

About

Joanne E. Clapcott is a scholar working on Ecology, Nature and Landscape Conservation and Environmental Chemistry. According to data from OpenAlex, Joanne E. Clapcott has authored 39 papers receiving a total of 737 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Ecology, 19 papers in Nature and Landscape Conservation and 18 papers in Environmental Chemistry. Recurrent topics in Joanne E. Clapcott's work include Freshwater macroinvertebrate diversity and ecology (21 papers), Fish Ecology and Management Studies (19 papers) and Soil and Water Nutrient Dynamics (17 papers). Joanne E. Clapcott is often cited by papers focused on Freshwater macroinvertebrate diversity and ecology (21 papers), Fish Ecology and Management Studies (19 papers) and Soil and Water Nutrient Dynamics (17 papers). Joanne E. Clapcott collaborates with scholars based in New Zealand, Australia and United States. Joanne E. Clapcott's co-authors include Roger G. Young, John R. Leathwick, Leon A. Barmuta, Stuart E. Bunn, Kevin J. Collier, Natalie A. Griffiths, Andrew J. Boulton, Jon S. Harding, Scott D. Tiegs and Russell G. Death and has published in prestigious journals such as Ecological Applications, Canadian Journal of Fisheries and Aquatic Sciences and Forest Ecology and Management.

In The Last Decade

Joanne E. Clapcott

38 papers receiving 709 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joanne E. Clapcott New Zealand 13 537 378 268 167 98 39 737
Tom Hollenhorst United States 13 392 0.7× 255 0.7× 236 0.9× 143 0.9× 132 1.3× 17 611
Catherine M. Riseng United States 17 535 1.0× 446 1.2× 298 1.1× 207 1.2× 169 1.7× 32 874
Susan P. Davies United States 9 428 0.8× 301 0.8× 155 0.6× 179 1.1× 89 0.9× 17 623
Thorsten D. Mosisch Australia 10 618 1.2× 476 1.3× 306 1.1× 185 1.1× 80 0.8× 13 867
H.E. Keizer-Vlek Netherlands 7 464 0.9× 262 0.7× 125 0.5× 114 0.7× 62 0.6× 15 668
J.G. Wasson France 18 617 1.1× 323 0.9× 228 0.9× 201 1.2× 73 0.7× 29 836
Nicholas P. Danz United States 17 689 1.3× 422 1.1× 380 1.4× 164 1.0× 231 2.4× 33 1.0k
Lou Reynolds United States 8 567 1.1× 495 1.3× 167 0.6× 145 0.9× 87 0.9× 11 838
Stefania Erba Italy 16 803 1.5× 524 1.4× 172 0.6× 245 1.5× 63 0.6× 25 959
Alexander J. Smith United States 10 290 0.5× 208 0.6× 221 0.8× 260 1.6× 58 0.6× 23 570

Countries citing papers authored by Joanne E. Clapcott

Since Specialization
Citations

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

Fields of papers citing papers by Joanne E. Clapcott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joanne E. Clapcott. 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 Joanne E. Clapcott. The network helps show where Joanne E. Clapcott may publish in the future.

Co-authorship network of co-authors of Joanne E. Clapcott

This figure shows the co-authorship network connecting the top 25 collaborators of Joanne E. Clapcott. A scholar is included among the top collaborators of Joanne E. Clapcott 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 Joanne E. Clapcott. Joanne E. Clapcott 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.
2.
MCFARLANE, K. B., et al.. (2024). Working together to scale ecosystem restoration: collective approaches to community action in Aotearoa New Zealand. Ecology and Society. 29(2). 4 indexed citations
3.
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Clark, D. E., et al.. (2022). Transcending boundaries: transitioning toward integrated estuary management in Aotearoa New Zealand. New Zealand Journal of Marine and Freshwater Research. 56(3). 303–311. 1 indexed citations
5.
Banks, Jonathan C., et al.. (2021). Detecting the pest fish, Gambusia affinis from environmental DNA in New Zealand: a comparison of methods. New Zealand Journal of Zoology. 48(3-4). 202–216. 5 indexed citations
6.
Stoffels, Rick J., D. J. Booker, P.A. Franklin, et al.. (2021). Estimation of policy-relevant reference conditions throughout national river networks. MethodsX. 8. 101522–101522. 2 indexed citations
7.
Wood, Susanna A., et al.. (2021). Temporal and spatial variation in bacterial communities on uniform substrates in non‐wadeable rivers. Environmental DNA. 3(5). 1023–1034. 2 indexed citations
8.
Stoffels, Rick J., P.A. Franklin, D. J. Booker, et al.. (2021). Multiple framings of uncertainty shape adoption of reference states during reform of water policy. Environmental Science & Policy. 124. 496–505. 7 indexed citations
9.
Casanovas, Paula, Joanne E. Clapcott, D. E. Clark, et al.. (2020). Relationships in ecological health between connected stream and estuary ecosystems. Ecological Indicators. 115. 106374–106374. 8 indexed citations
10.
Clapcott, Joanne E., et al.. (2018). Mātauranga Māori: shaping marine and freshwater futures. New Zealand Journal of Marine and Freshwater Research. 52(4). 457–466. 32 indexed citations
11.
Hayes, John W., et al.. (2018). The influence of natural flow and temperature and introduced brown trout on the temporal variation in native fish abundance in a “reference” stream. Canadian Journal of Fisheries and Aquatic Sciences. 76(5). 705–722. 3 indexed citations
12.
Clapcott, Joanne E., et al.. (2016). Finding reference: a comparison of modelling approaches for predicting macroinvertebrate community index benchmarks. New Zealand Journal of Marine and Freshwater Research. 51(1). 44–59. 10 indexed citations
13.
Clapcott, Joanne E., et al.. (2016). Land use affects temporal variation in stream metabolism. Freshwater Science. 35(4). 1164–1175. 20 indexed citations
14.
Clapcott, Joanne E., et al.. (2015). Identifying Catchment-Scale Predictors of Coal Mining Impacts on New Zealand Stream Communities. Environmental Management. 57(3). 711–721. 11 indexed citations
15.
Clapcott, Joanne E., et al.. (2013). PREDICTIVE MODELS OF BENTHIC MACROINVERTEBRATE METRICS. 5 indexed citations
16.
Collier, Kevin J., et al.. (2012). SPATIAL VARIATION OF STRUCTURAL AND FUNCTIONAL INDICATORS IN A LARGE NEW ZEALAND RIVER. River Research and Applications. 29(10). 1277–1290. 16 indexed citations
17.
Schallenberg, Marc, David Kelly, Joanne E. Clapcott, et al.. (2011). Approaches to assessing ecological integrity of New Zealand freshwaters.. 11 indexed citations
18.
Clapcott, Joanne E., Kevin J. Collier, Russell G. Death, et al.. (2011). Quantifying relationships between land‐use gradients and structural and functional indicators of stream ecological integrity. Freshwater Biology. 57(1). 74–90. 143 indexed citations
19.
Clapcott, Joanne E. & Leon A. Barmuta. (2010). Forest clearance increases metabolism and organic matter processes in small headwater streams. Journal of the North American Benthological Society. 29(2). 546–561. 32 indexed citations
20.
Barmuta, Leon A., et al.. (2009). The importance of headwater streams. eCite Digital Repository (University of Tasmania). 9 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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