Nik Callow

2.1k total citations
83 papers, 1.6k citations indexed

About

Nik Callow is a scholar working on Global and Planetary Change, Ecology and Atmospheric Science. According to data from OpenAlex, Nik Callow has authored 83 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Global and Planetary Change, 36 papers in Ecology and 28 papers in Atmospheric Science. Recurrent topics in Nik Callow's work include Plant Water Relations and Carbon Dynamics (18 papers), Hydrology and Watershed Management Studies (18 papers) and Hydrology and Sediment Transport Processes (17 papers). Nik Callow is often cited by papers focused on Plant Water Relations and Carbon Dynamics (18 papers), Hydrology and Watershed Management Studies (18 papers) and Hydrology and Sediment Transport Processes (17 papers). Nik Callow collaborates with scholars based in Australia, United States and Germany. Nik Callow's co-authors include Ben Jarihani, Keith Smettem, Tim R. McVicar, Guy Boggs, Kasper Johansen, Thomas G. Van Niel, Hamish A. McGowan, Kimberly P. Van Niel, Joshua Larsen and John Duncan and has published in prestigious journals such as The Science of The Total Environment, Remote Sensing of Environment and Scientific Reports.

In The Last Decade

Nik Callow

80 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nik Callow Australia 21 798 704 556 383 366 83 1.6k
Shuhua Qi China 20 892 1.1× 614 0.9× 442 0.8× 331 0.9× 333 0.9× 49 1.6k
Taehee Hwang United States 22 1.3k 1.6× 732 1.0× 556 1.0× 282 0.7× 492 1.3× 48 2.0k
Xuguang Tang China 21 810 1.0× 645 0.9× 223 0.4× 177 0.5× 264 0.7× 73 1.4k
Vincent Simonneaux France 22 1.4k 1.7× 563 0.8× 601 1.1× 494 1.3× 380 1.0× 56 2.0k
Camilo Daleles Rennó Brazil 20 1.2k 1.5× 636 0.9× 736 1.3× 526 1.4× 436 1.2× 72 2.2k
Mirela G. Tulbure United States 29 1.2k 1.5× 1.2k 1.8× 562 1.0× 448 1.2× 180 0.5× 58 2.2k
Catherine Ticehurst Australia 18 722 0.9× 721 1.0× 355 0.6× 374 1.0× 241 0.7× 58 1.5k
Michael A. Menarguez China 8 1.1k 1.3× 1.0k 1.4× 402 0.7× 443 1.2× 468 1.3× 9 1.7k
Ruifeng Zhao China 17 629 0.8× 532 0.8× 237 0.4× 180 0.5× 252 0.7× 48 1.3k
Neil Flood Australia 15 853 1.1× 899 1.3× 239 0.4× 545 1.4× 251 0.7× 21 1.7k

Countries citing papers authored by Nik Callow

Since Specialization
Citations

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

Fields of papers citing papers by Nik Callow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nik Callow

This figure shows the co-authorship network connecting the top 25 collaborators of Nik Callow. A scholar is included among the top collaborators of Nik Callow 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 Nik Callow. Nik Callow 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.
Duncan, John, et al.. (2025). Training sensor-agnostic deep learning models for remote sensing: Achieving state-of-the-art cloud and cloud shadow identification with OmniCloudMask. Remote Sensing of Environment. 322. 114694–114694. 1 indexed citations
2.
Dixon, Timothy H., Nik Callow, Patricia Gadd, et al.. (2025). A record of monsoon rainforest variability from the Kimberley region in northwestern Australia. Journal of Quaternary Science. 40(2). 243–256. 1 indexed citations
3.
4.
Ashworth, Michael B., et al.. (2021). Assessing the Capability and Potential of LiDAR for Weed Detection. Sensors. 21(7). 2328–2328. 20 indexed citations
5.
Callow, Nik, et al.. (2021). Satellite prediction of forest flowering phenology. Remote Sensing of Environment. 255. 112197–112197. 77 indexed citations
6.
McGowan, Hamish A., et al.. (2020). Atmospheric Rivers: An overlooked threat to the Australian snowpack in a warming World. 5 indexed citations
7.
Callow, Nik, et al.. (2020). Surface water as a cause of land degradation from dryland salinity. Hydrology and earth system sciences. 24(2). 717–734. 8 indexed citations
8.
Callow, Nik, et al.. (2020). Streamflow variability and the role of snowmelt in a marginal snow environment. Arctic Antarctic and Alpine Research. 52(1). 161–176. 8 indexed citations
9.
May, Simon Matthias, Nik Callow, Dominik Brill, Dirk Hoffmeister, & Jan­‐Hendrik May. (2020). Revealing Sediment Transport Pathways and Geomorphic Change in Washover Fans by Combining Drone‐Derived Digital Elevation Models and Single Grain Luminescence Data. Journal of Geophysical Research Earth Surface. 126(1). 6 indexed citations
10.
Callow, Nik, et al.. (2020). Application of distributed temperature sensing using optical fibre to understand temperature dynamics in wheat (triticum aestivum) during frost. European Journal of Agronomy. 115. 126038–126038. 12 indexed citations
11.
Murphy, M. E., Bryan Boruff, Nik Callow, & Ken Flower. (2020). Detecting Frost Stress in Wheat: A Controlled Environment Hyperspectral Study on Wheat Plant Components and Implications for Multispectral Field Sensing. Remote Sensing. 12(3). 477–477. 27 indexed citations
12.
Flower, Ken, et al.. (2020). Comparison of crop and weed height, for potential differentiation of weed patches at harvest. Weed Research. 61(1). 25–34. 3 indexed citations
13.
Callow, Nik, et al.. (2019). An Automated Plot Heater for Field Frost Research in Cereals. Agronomy. 9(2). 96–96. 5 indexed citations
14.
Fitzgerald, Glenn J., Eileen M. Perry, Ken Flower, et al.. (2019). Frost Damage Assessment in Wheat Using Spectral Mixture Analysis. Remote Sensing. 11(21). 2476–2476. 15 indexed citations
15.
Callow, Nik, et al.. (2019). Spatial controls on the distribution and dynamics of a marginal snowpack in the Australian Alps. Hydrological Processes. 33(12). 1739–1755. 14 indexed citations
16.
McGowan, Hamish A., et al.. (2018). Global warming in the context of 2000 years of Australian alpine temperature and snow cover. Scientific Reports. 8(1). 4394–4394. 32 indexed citations
17.
McGowan, Hamish A., et al.. (2018). Energy balance and snowmelt drivers of a marginal subalpine snowpack. Hydrological Processes. 32(26). 3837–3851. 20 indexed citations
18.
Callow, Nik, et al.. (2017). A multimethod approach to inform epikarst drip discharge modelling: Implications for palaeo‐climate reconstruction. Hydrological Processes. 31(26). 4734–4747. 8 indexed citations
19.
May, Simon Matthias, Dominik Brill, Nik Callow, et al.. (2016). Supratidal beach deposits in Giralia Bay (Exmouth Gulf, Western Australia) - a record for past tropical cyclones?. EGUGA. 1 indexed citations
20.
Smettem, Keith, et al.. (2013). Satellite derived estimates of forest leaf area index in South-west Western Australia are not tightly coupled to inter-annual variations in rainfall: implications for groundwater decline in a drying climate.. UWA Profiles and Research Repository (University of Western Australia). 1 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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