Ian Renner

1.9k total citations · 1 hit paper
16 papers, 913 citations indexed

About

Ian Renner is a scholar working on Ecology, Ecological Modeling and Nature and Landscape Conservation. According to data from OpenAlex, Ian Renner has authored 16 papers receiving a total of 913 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Ecology, 9 papers in Ecological Modeling and 4 papers in Nature and Landscape Conservation. Recurrent topics in Ian Renner's work include Species Distribution and Climate Change (9 papers), Wildlife Ecology and Conservation (7 papers) and Ecology and Vegetation Dynamics Studies (4 papers). Ian Renner is often cited by papers focused on Species Distribution and Climate Change (9 papers), Wildlife Ecology and Conservation (7 papers) and Ecology and Vegetation Dynamics Studies (4 papers). Ian Renner collaborates with scholars based in Australia, France and South Africa. Ian Renner's co-authors include David I. Warton, Daniel Ramp, Gordana Popović, Adrian Baddeley, Trevor Hastie, Jane Elith, William Fithian, Steven J. Phillips, Olivier Giménez and Natalie Kelly and has published in prestigious journals such as PLoS ONE, Biometrics and Ecological Applications.

In The Last Decade

Ian Renner

16 papers receiving 896 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Point process models for presence‐only analysis

2015 290 citations Ian Renner, Jane Elith et al. Methods in Ecology and Evolution profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ian Renner Australia	9	612	568	350	136	88	16	913
William Fithian United States	10	439 0.7×	419 0.7×	289 0.8×	90 0.7×	75 0.9×	21	846
Miguel Fernández United States	14	596 1.0×	533 0.9×	325 0.9×	303 2.2×	149 1.7×	21	1.1k
Rebecca Hutchinson United States	13	425 0.7×	359 0.6×	212 0.6×	106 0.8×	120 1.4×	23	721
Orin J. Robinson United States	15	508 0.8×	667 1.2×	293 0.8×	210 1.5×	133 1.5×	39	939
Joanne Potts Australia	15	357 0.6×	750 1.3×	397 1.1×	315 2.3×	134 1.5×	29	1.1k
David J. Ziolkowski United States	12	451 0.7×	811 1.4×	345 1.0×	265 1.9×	150 1.7×	15	1.1k
Keith L. Pardieck United States	13	543 0.9×	936 1.6×	403 1.2×	298 2.2×	149 1.7×	20	1.2k
Matthew Strimas‐Mackey United States	15	361 0.6×	457 0.8×	237 0.7×	205 1.5×	127 1.4×	29	777
Kathryn M. Irvine United States	22	350 0.6×	749 1.3×	357 1.0×	258 1.9×	331 3.8×	68	1.2k
Helen R. Sofaer United States	18	481 0.8×	582 1.0×	445 1.3×	264 1.9×	326 3.7×	41	1.2k

Countries citing papers authored by Ian Renner

Since Specialization

Citations

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

Fields of papers citing papers by Ian Renner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ian Renner

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

All Works

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16 of 16 papers shown

Athauda, Rukshan, et al.. (2024). Evaluating the student performance prediction and action framework through a learning analytics intervention study. Education and Information Technologies. 30(3). 2887–2916. 8 indexed citations

Beh, Eric J., et al.. (2024). Profile transformations for reciprocal averaging and singular value decomposition. Computational Statistics. 1 indexed citations

Renner, Ian, et al.. (2023). A practical approach to making use of uncertain species presence-only data in ecology: Reclassification, regularization methods and observer bias. Ecological Informatics. 77. 102155–102155. 6 indexed citations

Renner, Ian, et al.. (2021). How to make use of unlabeled observations in species distribution modeling using point process models. Ecology and Evolution. 11(10). 5220–5243. 6 indexed citations

Renner, Ian, David I. Warton, & Francis K. C. Hui. (2021). What is the effective sample size of a spatial point process?. Australian & New Zealand Journal of Statistics. 63(1). 144–158. 3 indexed citations

Smith, Joshua N., Natalie Kelly, & Ian Renner. (2020). Validation of presence‐only models for conservation planning and the application to whales in a multiple‐use marine park. Ecological Applications. 31(1). e02214–e02214. 28 indexed citations

Houard, Xavier, et al.. (2020). Is my sdm good enough? insights from a citizen science dataset in a point process modeling framework. Ecological Modelling. 438. 109283–109283. 2 indexed citations

Renner, Ian, Julie Louvrier, & Olivier Giménez. (2019). Combining multiple data sources in species distribution models while accounting for spatial dependence and overfitting with combined penalized likelihood maximization. Methods in Ecology and Evolution. 10(12). 2118–2128. 15 indexed citations

Bonnet‐Lebrun, Anne‐Sophie, Alexandros A. Karamanlidis, Miguel de Gabriel Hernando, Ian Renner, & Olivier Giménez. (2019). Identifying priority conservation areas for a recovering brown bear population in Greece using citizen science data. Animal Conservation. 23(1). 83–93. 26 indexed citations

10.

Davies, Allan, M. Al-Omary, David W. Baker, et al.. (2018). Targeting elevated left ventricular end-diastolic pressure following primary percutaneous coronary intervention for ST-segment elevation myocardial infarction – a phase one safety and feasibility study. European Heart Journal Acute Cardiovascular Care. 9(7). 758–763. 4 indexed citations

11.

Renner, Ian, et al.. (2018). Opportunistic records reveal Mediterranean reptiles’ scale‐dependent responses to anthropogenic land use. Ecography. 42(3). 608–620. 12 indexed citations

12.

Renner, Ian, et al.. (2016). Echocardiographic assessment of pulmonary artery systolic pressure following treadmill stress testing. European Heart Journal - Cardiovascular Imaging. 18(11). 1278–1282. 2 indexed citations

13.

Ashraf, Asma, et al.. (2016). Incidence, time of occurrence and response to heart failure therapy in patients with anthracycline cardiotoxicity. Internal Medicine Journal. 47(1). 104–109. 18 indexed citations

14.

Renner, Ian, Jane Elith, Adrian Baddeley, et al.. (2015). Point process models for presence‐only analysis. Methods in Ecology and Evolution. 6(4). 366–379. 290 indexed citations breakdown →

15.

Renner, Ian & David I. Warton. (2013). Equivalence of MAXENT and Poisson Point Process Models for Species Distribution Modeling in Ecology. Biometrics. 69(1). 274–281. 347 indexed citations

16.

Warton, David I., Ian Renner, & Daniel Ramp. (2013). Model-Based Control of Observer Bias for the Analysis of Presence-Only Data in Ecology. PLoS ONE. 8(11). e79168–e79168. 145 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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