J.R. O’Hanley

3.1k total citations
56 papers, 1.8k citations indexed

About

J.R. O’Hanley is a scholar working on Nature and Landscape Conservation, Ecology and Water Science and Technology. According to data from OpenAlex, J.R. O’Hanley has authored 56 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Nature and Landscape Conservation, 20 papers in Ecology and 10 papers in Water Science and Technology. Recurrent topics in J.R. O’Hanley's work include Fish Ecology and Management Studies (25 papers), Hydrology and Sediment Transport Processes (11 papers) and Facility Location and Emergency Management (8 papers). J.R. O’Hanley is often cited by papers focused on Fish Ecology and Management Studies (25 papers), Hydrology and Sediment Transport Processes (11 papers) and Facility Location and Emergency Management (8 papers). J.R. O’Hanley collaborates with scholars based in United Kingdom, United States and Australia. J.R. O’Hanley's co-authors include Paul S. Kemp, Maria Paola Scaparra, Matthew W. Diebel, Richard L. Church, David Tomberlin, Thomas M. Neeson, Steven King, Peter B. McIntyre, Patrick J. Doran and Michael C. Ferris and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Science of The Total Environment and European Journal of Operational Research.

In The Last Decade

J.R. O’Hanley

53 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J.R. O’Hanley United Kingdom 23 985 922 381 294 221 56 1.8k
John Hearne Australia 22 705 0.7× 807 0.9× 990 2.6× 61 0.2× 127 0.6× 78 1.9k
Claudio Comoglio Italy 21 604 0.6× 433 0.5× 194 0.5× 265 0.9× 5 0.0× 67 1.3k
Matthew P. Thompson United States 37 301 0.3× 1.0k 1.1× 3.6k 9.5× 36 0.1× 63 0.3× 135 4.0k
Carmel Pollino Australia 23 535 0.5× 585 0.6× 660 1.7× 622 2.1× 3 0.0× 80 2.4k
Harald Vacik Austria 27 442 0.4× 363 0.4× 1.6k 4.2× 93 0.3× 18 0.1× 112 2.6k
David Pullar Australia 25 233 0.2× 573 0.6× 810 2.1× 178 0.6× 21 0.1× 67 1.9k
Hayri Önal United States 22 183 0.2× 306 0.3× 511 1.3× 122 0.4× 40 0.2× 79 1.5k
Armando Apan Australia 31 183 0.2× 1.4k 1.5× 1.2k 3.0× 149 0.5× 11 0.0× 163 2.9k
Giovanni Zurlini Italy 29 245 0.2× 467 0.5× 1.1k 3.0× 80 0.3× 10 0.0× 60 2.3k
Nicola Zaccarelli Italy 25 217 0.2× 443 0.5× 811 2.1× 65 0.2× 7 0.0× 34 1.7k

Countries citing papers authored by J.R. O’Hanley

Since Specialization
Citations

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

Fields of papers citing papers by J.R. O’Hanley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.R. O’Hanley. 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 J.R. O’Hanley. The network helps show where J.R. O’Hanley may publish in the future.

Co-authorship network of co-authors of J.R. O’Hanley

This figure shows the co-authorship network connecting the top 25 collaborators of J.R. O’Hanley. A scholar is included among the top collaborators of J.R. O’Hanley 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 J.R. O’Hanley. J.R. O’Hanley 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.
Bicknell, Jake E., J.R. O’Hanley, Paul R. Armsworth, et al.. (2023). Enhancing the ecological value of oil palm agriculture through set-asides. Nature Sustainability. 6(5). 513–525. 14 indexed citations
2.
Neeson, Thomas M., et al.. (2023). Boosting large‐scale river connectivity restoration by planning for the presence of unrecorded barriers. Conservation Biology. 37(3). e14093–e14093. 5 indexed citations
3.
Leániz, Carlos García de & J.R. O’Hanley. (2022). Operational methods for prioritizing the removal of river barriers: Synthesis and guidance. The Science of The Total Environment. 848. 157471–157471. 24 indexed citations
4.
Kotiadis, Kathy, et al.. (2021). Developing a Hybrid Simulation Model using both Parsimonious and Highly Descriptive Approaches: A Case Study from the Transport Industry. Kent Academic Repository (University of Kent). 2 indexed citations
5.
Cooper, Arthur R., et al.. (2021). Prioritizing native migratory fish passage restoration while limiting the spread of invasive species: A case study in the Upper Mississippi River. The Science of The Total Environment. 791. 148317–148317. 21 indexed citations
6.
Kotiadis, Kathy, et al.. (2021). Aiding the development of the conceptual model for hybrid simulation: Representing the modelling frame. Journal of the Operational Research Society. 73(12). 2775–2793. 7 indexed citations
7.
Scaparra, Maria Paola, et al.. (2020). Masterplanning at the Port of Dover: The Use of Discrete-Event Simulation in Managing Road Traffic. Sustainability. 12(3). 1067–1067. 14 indexed citations
8.
9.
O’Hanley, J.R., et al.. (2018). Traffic Modelling at the Port of Dover. Kent Academic Repository (University of Kent). 2018(1). 7–11. 2 indexed citations
10.
Diebel, Matthew W., Patrick J. Doran, Michael C. Ferris, et al.. (2018). Minimizing opportunity costs to aquatic connectivity restoration while controlling an invasive species. Conservation Biology. 32(4). 894–904. 42 indexed citations
11.
Mingers, John, et al.. (2017). Using Google Scholar institutional level data to evaluate the quality of university research. Scientometrics. 113(3). 1627–1643. 24 indexed citations
12.
Sethi, Suresh A., et al.. (2017). High value of ecological information for river connectivity restoration. Landscape Ecology. 32(12). 2327–2336. 15 indexed citations
13.
King, Steve, Iain Fraser, & J.R. O’Hanley. (2016). Benefits transfer and the aquatic environment: An investigation into the context of fish passage improvement. Journal of Environmental Management. 183(Pt 3). 1079–1087. 8 indexed citations
14.
O’Hanley, J.R.. (2014). OptiPass: The migratory fish passage optimization tool, version 1.0 user manual. Kent Academic Repository (University of Kent). 4 indexed citations
15.
O’Hanley, J.R., et al.. (2013). Restoring stream habitat connectivity: A proposed method for prioritizing the removal of resident fish passage barriers. Journal of Environmental Management. 125. 19–27. 71 indexed citations
16.
O’Hanley, J.R., et al.. (2012). Optimal location and scheduling of blood collection facilities. Kent Academic Repository (University of Kent). 1 indexed citations
17.
O’Hanley, J.R.. (2011). Open rivers: Barrier removal planning and the restoration of free-flowing rivers. Journal of Environmental Management. 92(12). 3112–3120. 82 indexed citations
18.
O’Hanley, J.R. & Richard L. Church. (2010). Designing robust coverage networks to hedge against worst-case facility losses. European Journal of Operational Research. 209(1). 23–36. 92 indexed citations
19.
O’Hanley, J.R., et al.. (2009). A restoration framework for optimizing habitat connectivity in Gulf of Maine watersheds. Kent Academic Repository (University of Kent). 1 indexed citations
20.
O’Hanley, J.R., Richard L. Church, & J. Keith Gilless. (2006). Locating and protecting critical reserve sites to minimize expected and worst-case losses. Biological Conservation. 134(1). 130–141. 33 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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