Neil Sims

1.5k total citations · 1 hit paper
34 papers, 1.1k citations indexed

About

Neil Sims is a scholar working on Ecology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Neil Sims has authored 34 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Ecology, 12 papers in Global and Planetary Change and 9 papers in Environmental Engineering. Recurrent topics in Neil Sims's work include Remote Sensing in Agriculture (10 papers), Remote Sensing and LiDAR Applications (9 papers) and Hydrology and Watershed Management Studies (6 papers). Neil Sims is often cited by papers focused on Remote Sensing in Agriculture (10 papers), Remote Sensing and LiDAR Applications (9 papers) and Hydrology and Watershed Management Studies (6 papers). Neil Sims collaborates with scholars based in Australia, United States and Canada. Neil Sims's co-authors include James S. Gould, Miguel G. Cruz, Andrew Sullivan, J. J. Hollis, Matthew J. Colloff, Glenn Newnham, Jacqueline R. England, Paul Humphries, R. Keller Kopf and Sally Hladyz and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Hydrology and BioScience.

In The Last Decade

Neil Sims

34 papers receiving 1.1k 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.

Anatomy of a catastrophic wildfire: The Black Saturday Kilmore East fire in Victoria, Australia

2012 320 citations Neil Sims et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Neil Sims Australia	15	702	497	201	177	166	34	1.1k
Rafael Coll Delgado Brazil	19	822 1.2×	569 1.1×	178 0.9×	151 0.9×	239 1.4×	109	1.3k
Maria L. Chu United States	22	432 0.6×	489 1.0×	122 0.6×	229 1.3×	395 2.4×	58	1.3k
Fotios Xystrakis Greece	16	774 1.1×	187 0.4×	145 0.7×	97 0.5×	62 0.4×	32	915
Vincent Kakembo South Africa	16	399 0.6×	305 0.6×	110 0.5×	123 0.7×	167 1.0×	42	985
Daniel M. Howard United States	15	625 0.9×	665 1.3×	120 0.6×	232 1.3×	79 0.5×	29	1.2k
Tim Danaher Australia	13	740 1.1×	583 1.2×	105 0.5×	454 2.6×	224 1.3×	20	1.1k
T. Simoniello Italy	22	490 0.7×	440 0.9×	74 0.4×	223 1.3×	55 0.3×	45	987
António T. Monteiro Portugal	17	455 0.6×	299 0.6×	136 0.7×	109 0.6×	113 0.7×	36	846
Elmar Csaplovics Germany	14	693 1.0×	324 0.7×	89 0.4×	219 1.2×	49 0.3×	44	1.1k
Philip J. Riggan United States	20	1.2k 1.7×	420 0.8×	134 0.7×	173 1.0×	87 0.5×	51	1.6k

Countries citing papers authored by Neil Sims

Since Specialization

Citations

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

Fields of papers citing papers by Neil Sims

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neil Sims

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

All Works

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20 of 20 papers shown

Anstee, Janet, et al.. (2024). The contributions of Indigenous People's earth observations to water quality monitoring. Frontiers in Water. 6. 3 indexed citations

Sims, Neil, et al.. (2022). Phenology impact on mangrove area estimation pre- and post a cyclone in Fiji using Sentinel-1 imagery. Journal of Coastal Conservation. 26(6). 2 indexed citations

Sims, Neil, et al.. (2022). Beyond the SDG 15.3.1 Good Practice Guidance 1.0 using the Google Earth Engine platform: developing a self-adjusting algorithm to detect significant changes in water use efficiency and net primary production. Big Earth Data. 7(1). 59–80. 14 indexed citations

Sims, Neil, Nichole N. Barger, Graciela Metternicht, & Jacqueline R. England. (2020). A land degradation interpretation matrix for reporting on UN SDG indicator 15.3.1 and land degradation neutrality. Environmental Science & Policy. 114. 1–6. 46 indexed citations

Sims, Neil, et al.. (2019). Linking land and water observations for SDG reporting and development policy support: a case study in Vietnam. AGU Fall Meeting Abstracts. 2019. 1 indexed citations

Sims, Neil, Jacqueline R. England, Glenn Newnham, et al.. (2018). Developing good practice guidance for estimating land degradation in the context of the United Nations Sustainable Development Goals. Environmental Science & Policy. 92. 349–355. 101 indexed citations

Colloff, Matthew J., Ian Overton, Brent Henderson, et al.. (2018). The use of historical environmental monitoring data to test predictions on cross-scale ecological responses to alterations in river flows. Aquatic Ecology. 52(1). 133–153. 12 indexed citations

Sims, Neil, et al.. (2017). Spectral separability and mapping potential of cassava leaf damage symptoms caused by whiteflies (Bemisia tabaci). Pest Management Science. 74(1). 246–255. 3 indexed citations

Emelyanova, Irina, et al.. (2016). Delineation of riparian vegetation from Landsat multi-temporal imagery using PCA. Hydrological Processes. 31(4). 800–810. 14 indexed citations

10.

Guerschman, Juan Pablo, et al.. (2015). The GEOGLAM Rangelands and Pasture Productivity Activity: Recent Progress and Future Directions. 2015 AGU Fall Meeting. 2015. 4 indexed citations

11.

Cuddy, Susan, Chang Huang, Yun Chen, et al.. (2014). RiM-FIM floodplain inundation modelling for the Edward-Wakool, Lower Murrumbidgee and Lower Darling River systems. CSIRO. 5 indexed citations

12.

Sims, Neil, Erin E. Peterson, Doug Ward, et al.. (2014). Flow regimes and ecological assets. A technical report from the Ecological Responses to Altered Flow Regimes Flagship Research Cluster (SubProject 2). CSIRO. 1 indexed citations

13.

Bunn, Stuart E., Nick Bond, Ben Gawne, et al.. (2014). Ecological responses to altered flow regimes: Synthesis report. 7 indexed citations

14.

Sims, Neil, Darius Culvenor, Glenn Newnham, Nicholas C. Coops, & P. Hopmans. (2013). Towards the Operational Use of Satellite Hyperspectral Image Data for Mapping Nutrient Status and Fertilizer Requirements in Australian Plantation Forests. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 6(2). 320–328. 26 indexed citations

15.

Sims, Neil & Matthew J. Colloff. (2012). Remote sensing of vegetation responses to flooding of a semi-arid floodplain: Implications for monitoring ecological effects of environmental flows. Ecological Indicators. 18. 387–391. 69 indexed citations

16.

Newnham, Glenn, et al.. (2012). ASSESSING THE SIGNIFICANCE OF HYPERION SPECTRAL BANDS IN FOREST CLASSIFICATION. SHILAP Revista de lepidopterología. XXXIX-B7. 147–149. 3 indexed citations

17.

Chen, Yun, et al.. (2011). Linking inundation timing and extent to ecological response models using the Murray-Darling Basin Floodplain Inundation Model (MDB-FIM). Chan, F., Marinova, D. and Anderssen, R.S. (eds) MODSIM2011, 19th International Congress on Modelling and Simulation.. 12 indexed citations

18.

Sims, Neil, Anthony A. Chariton, Huidong Jin, & Matthew J. Colloff. (2011). A Classification of Floodplains and Wetlands of the Murray-Darling Basin Based on Changes in Flows Following Water Resource Development. Wetlands. 32(2). 239–248. 28 indexed citations

19.

Sims, Neil, Christine Stone, Nicholas C. Coops, & Philip J. Ryan. (2007). ASSESSING THE HEALTH OF PINUS RADIATA PLANTATIONS USING REMOTE SENSING DATA AND DECISION TREE ANALYSIS. 11 indexed citations

20.

Sims, Neil & Martin C. Thoms. (2002). What happens when flood plains wet themselves: vegetation response to inundation on the lower Balonne flood plain. University of Canberra Research Portal. 195–202. 18 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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