I. D. Cluckie

1.3k total citations
56 papers, 887 citations indexed

About

I. D. Cluckie is a scholar working on Water Science and Technology, Atmospheric Science and Global and Planetary Change. According to data from OpenAlex, I. D. Cluckie has authored 56 papers receiving a total of 887 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Water Science and Technology, 27 papers in Atmospheric Science and 26 papers in Global and Planetary Change. Recurrent topics in I. D. Cluckie's work include Hydrology and Watershed Management Studies (28 papers), Flood Risk Assessment and Management (20 papers) and Precipitation Measurement and Analysis (19 papers). I. D. Cluckie is often cited by papers focused on Hydrology and Watershed Management Studies (28 papers), Flood Risk Assessment and Management (20 papers) and Precipitation Measurement and Analysis (19 papers). I. D. Cluckie collaborates with scholars based in United Kingdom, China and Australia. I. D. Cluckie's co-authors include Miguel A. Rico‐Ramirez, C. G. Collier, Yunqing Xuan, Dawei Han, Yangbo Chen, Richard J. Griffith, Jonathan Lawry, G. L. Austin, C.F. Forster and Dingzhi Peng and has published in prestigious journals such as Water Research, IEEE Transactions on Geoscience and Remote Sensing and International Journal of Remote Sensing.

In The Last Decade

I. D. Cluckie

54 papers receiving 834 citations

Peers

I. D. Cluckie

GPC

WST

Haijun Yu China

Nelson Luı́s Dias Brazil

Radosław Goska United States

C. M. Bhatt India

Jean-Baptiste Henry France

A. Ünal Şorman Türkiye

Xinguang He China

M. J. van den Berg Belgium

D. Nalley Canada

Xiaodong Ming United Kingdom

Haijun Yu China

I. D. Cluckie

364 ×0.7

729 ×1.6

GPC

333 ×1.0

WST

232 ×0.7

31 ×0.7

Citations per year, relative to I. D. Cluckie I. D. Cluckie (= 1×) peers Haijun Yu

Countries citing papers authored by I. D. Cluckie

Since Specialization

Citations

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

Fields of papers citing papers by I. D. Cluckie

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by I. D. Cluckie. 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 I. D. Cluckie. The network helps show where I. D. Cluckie may publish in the future.

Co-authorship network of co-authors of I. D. Cluckie

This figure shows the co-authorship network connecting the top 25 collaborators of I. D. Cluckie. A scholar is included among the top collaborators of I. D. Cluckie 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 I. D. Cluckie. I. D. Cluckie 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

Xuan, Yunqing, et al.. (2016). Coupled hydro-meteorological modelling on a HPC platform for high-resolution extreme weather impact study. Hydrology and earth system sciences. 20(12). 4707–4715. 2 indexed citations

Xuan, Yunqing, et al.. (2014). Hydrological appraisal of operational weather radar rainfall estimates in the context of different modelling structures. Hydrology and earth system sciences. 18(1). 257–272. 19 indexed citations

Zou, Qingping, Yongping Chen, I. D. Cluckie, et al.. (2013). Ensemble prediction of coastal flood risk arising from overtopping by linking meteorological, ocean, coastal and surf zone models. Quarterly Journal of the Royal Meteorological Society. 139(671). 298–313. 38 indexed citations

Peng, Dingzhi, et al.. (2013). Statistical analysis of error propagation from radar rainfall to hydrological models. Hydrology and earth system sciences. 17(4). 1445–1453. 29 indexed citations

Ren, Qinghua, et al.. (2013). An effective depression filling algorithm for DEM-based 2-D surface flow modelling. Hydrology and earth system sciences. 17(2). 495–505. 31 indexed citations

Park, Jong‐Sook, et al.. (2009). Effectiveness of complex physics and DTM based distributed models for flood risk management of the River Tone, UK. IAHS-AISH publication. 114–121. 3 indexed citations

Liguori, Sara, Miguel A. Rico‐Ramirez, & I. D. Cluckie. (2009). Uncertainty propagation in hydrological forecasting using ensemble rainfall forecasts.. Bristol Research (University of Bristol). 30–40. 4 indexed citations

Xuan, Yunqing, et al.. (2009). Uncertainty analysis of hydrological ensemble forecasts in a distributed model utilising short-range rainfall prediction. Hydrology and earth system sciences. 13(3). 293–303. 60 indexed citations

Cluckie, I. D., Vladan Babovic, Leonard F. Konikow, et al.. (2009). Hydroinformatics in hydrology, hydrogeology and water resources. Proceedings of Symposium JS.4 at the Joint Convention of the International Association of Hydrological Sciences (IAHS) and the International Association of Hydrogeologists (IAH) held in Hyderabad, India, 6-12 September 2009.. 4 indexed citations

10.

Rico‐Ramirez, Miguel A. & I. D. Cluckie. (2008). Classification of Ground Clutter and Anomalous Propagation Using Dual-Polarization Weather Radar. IEEE Transactions on Geoscience and Remote Sensing. 46(7). 1892–1904. 92 indexed citations

11.

Lawry, Jonathan, et al.. (2008). Fuzzy Bayesian Modeling of Sea-Level Along the East Coast of Britain. IEEE Transactions on Fuzzy Systems. 16(3). 725–738. 10 indexed citations

12.

Butts, Michael, et al.. (2007). Integrating meteorological and uncertainty information in flood forecasting: the FLOODRELIEF project. IAHS-AISH publication. 385–397. 7 indexed citations

13.

Rico‐Ramirez, Miguel A., I. D. Cluckie, & Dawei Han. (2005). Correction of the bright band using dual‐polarisation radar. Atmospheric Science Letters. 6(1). 40–46. 30 indexed citations

14.

Cluckie, I. D. & Miguel A. Rico‐Ramirez. (2004). Weather Radar Technology and Future Developments. Bristol Research (University of Bristol). 11–20. 6 indexed citations

15.

Cluckie, I. D., et al.. (2004). 185. Optimum Quantization of Remotely Sensed Rainfall Data. Tunnelling and Underground Space Technology. 15(2). 371–377. 1 indexed citations

16.

Xie, Zhenghui, et al.. (2004). An application of the VIC-3L land surface model with the new surface runoff model in simulating streamflow for the Yellow River basin.. IAHS-AISH publication. 241–248. 4 indexed citations

17.

Cluckie, I. D., et al.. (2000). Radar hydrometeorology using a vertically pointing radar. Hydrology and earth system sciences. 4(4). 565–580. 28 indexed citations

18.

Uijlenhoet, R., Hervé Andrieu, G. L. Austin, et al.. (1999). Hydromet integrated radar experiment (HIRE) : experimental setup and first results. Bristol Research (University of Bristol). 926–930. 14 indexed citations

19.

Cluckie, I. D. & C. G. Collier. (1991). Hydrological applications of weather radar. 73 indexed citations

20.

Cluckie, I. D., et al.. (1985). On the Sampling Interval of Discrete Transfer Function Models of the Rainfall-Runoff Process. IFAC Proceedings Volumes. 18(5). 1119–1124. 5 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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