D. A. Sachindra

2.4k total citations
31 papers, 1.7k citations indexed

About

D. A. Sachindra is a scholar working on Global and Planetary Change, Atmospheric Science and Environmental Engineering. According to data from OpenAlex, D. A. Sachindra has authored 31 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Global and Planetary Change, 14 papers in Atmospheric Science and 12 papers in Environmental Engineering. Recurrent topics in D. A. Sachindra's work include Climate variability and models (23 papers), Meteorological Phenomena and Simulations (10 papers) and Hydrology and Drought Analysis (8 papers). D. A. Sachindra is often cited by papers focused on Climate variability and models (23 papers), Meteorological Phenomena and Simulations (10 papers) and Hydrology and Drought Analysis (8 papers). D. A. Sachindra collaborates with scholars based in Australia, Pakistan and Poland. D. A. Sachindra's co-authors include Shamsuddin Shahid, Kamal Ahmed, B. J. C. Perera, Nadeem Nawaz, Fuchun Huang, Andrew Barton, Najeebullah Khan, ‪Eun‐Sung Chung, Md. Mamunur Rashid and Mehmet Cüneyd Demirel and has published in prestigious journals such as PLoS ONE, Journal of Hydrology and Quarterly Journal of the Royal Meteorological Society.

In The Last Decade

D. A. Sachindra

30 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
D. A. Sachindra Australia	19	1.4k	753	531	425	177	31	1.7k
Nadeem Nawaz Pakistan	20	1.5k 1.1×	666 0.9×	411 0.8×	464 1.1×	282 1.6×	32	1.9k
Melissa Bukovsky United States	21	1.3k 1.0×	1.0k 1.4×	204 0.4×	253 0.6×	160 0.9×	52	1.9k
Deg‐Hyo Bae South Korea	24	1.6k 1.2×	727 1.0×	695 1.3×	1.2k 2.7×	155 0.9×	147	2.3k
Xiefei Zhi China	25	1.4k 1.0×	1.2k 1.6×	198 0.4×	177 0.4×	128 0.7×	134	1.7k
Daniel Fiifi Tawia Hagan China	22	1.1k 0.8×	720 1.0×	358 0.7×	324 0.8×	113 0.6×	72	1.5k
María Cleofé Valverde Brazil	12	659 0.5×	383 0.5×	280 0.5×	248 0.6×	104 0.6×	32	1.2k
Dagang Wang China	27	1.5k 1.1×	882 1.2×	1.0k 1.9×	472 1.1×	77 0.4×	93	2.6k
Kehinde O. Ogunjobi Nigeria	20	1.0k 0.7×	808 1.1×	164 0.3×	97 0.2×	206 1.2×	58	1.4k
Guangyuan Kan China	22	858 0.6×	312 0.4×	406 0.8×	554 1.3×	66 0.4×	54	1.3k
Chan Xiao China	21	594 0.4×	415 0.6×	288 0.5×	257 0.6×	41 0.2×	52	1.3k

Countries citing papers authored by D. A. Sachindra

Since Specialization

Citations

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

Fields of papers citing papers by D. A. Sachindra

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. A. Sachindra

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

Abeysingha, N. S., D. A. Sachindra, Ram L. Ray, & Lal Muthuwatta. (2025). Variability of Rainfall and the Cropping Season of a Tropical Dry Zone River Basin: A Case Study in the Malwathu Oya River Basin in Sri Lanka. Advances in Meteorology. 2025(1).

Sachindra, D. A., et al.. (2022). Machine Learning-Based Rainfall Forecasting with Multiple Non-Linear Feature Selection Algorithms. Water Resources Management. 36(15). 6043–6071. 26 indexed citations

Ullah, Safi, Qinglong You, Deliang Chen, et al.. (2022). Future Population Exposure to Daytime and Nighttime Heat Waves in South Asia. Earth s Future. 10(5). 85 indexed citations

Ullah, Safi, Qinglong You, D. A. Sachindra, et al.. (2021). Spatiotemporal changes in global aridity in terms of multiple aridity indices: An assessment based on the CRU data. Atmospheric Research. 268. 105998–105998. 69 indexed citations

Khan, Najeebullah, D. A. Sachindra, Shamsuddin Shahid, et al.. (2020). Prediction of droughts over Pakistan using machine learning algorithms. Advances in Water Resources. 139. 103562–103562. 201 indexed citations

Ahmed, Kamal, D. A. Sachindra, Shamsuddin Shahid, Mehmet Cüneyd Demirel, & ‪Eun‐Sung Chung. (2019). Selection of multi-model ensemble of general circulation models for the simulation of precipitation and maximum and minimum temperature based on spatial assessment metrics. Hydrology and earth system sciences. 23(11). 4803–4824. 214 indexed citations

Sachindra, D. A. & Shinjiro Kanae. (2019). Machine learning for downscaling: the use of parallel multiple populations in genetic programming. Stochastic Environmental Research and Risk Assessment. 33(8-9). 1497–1533. 31 indexed citations

Sachindra, D. A., Kamal Ahmed, Md. Mamunur Rashid, et al.. (2019). Pros and cons of using wavelets in conjunction with genetic programming and generalised linear models in statistical downscaling of precipitation. Theoretical and Applied Climatology. 138(1-2). 617–638. 20 indexed citations

Ahmed, Kamal, D. A. Sachindra, Shamsuddin Shahid, et al.. (2019). Multi-model ensemble predictions of precipitation and temperature using machine learning algorithms. Atmospheric Research. 236. 104806–104806. 199 indexed citations

10.

Sachindra, D. A., Kamal Ahmed, Md. Mamunur Rashid, Shamsuddin Shahid, & B. J. C. Perera. (2018). Statistical downscaling of precipitation using machine learning techniques. Atmospheric Research. 212. 240–258. 235 indexed citations

11.

Sachindra, D. A. & B. J. C. Perera. (2016). Statistical Downscaling of General Circulation Model Outputs to Precipitation Accounting for Non-Stationarities in Predictor-Predictand Relationships. PLoS ONE. 11(12). e0168701–e0168701. 30 indexed citations

12.

Sachindra, D. A., Fuchun Huang, Andrew Barton, & B. J. C. Perera. (2016). Statistical downscaling of general circulation model outputs to precipitation, evaporation and temperature using a key station approach. Journal of Water and Climate Change. 7(4). 683–707. 1 indexed citations

13.

Sachindra, D. A. & B. J. C. Perera. (2016). Annual statistical downscaling of precipitation and evaporation and monthly disaggregation. Theoretical and Applied Climatology. 131(1-2). 181–200. 8 indexed citations

14.

Sachindra, D. A., Fuchun Huang, Andrew Barton, & B. J. C. Perera. (2014). Statistical downscaling of general circulation model outputs to precipitation—part 2: bias‐correction and future projections. International Journal of Climatology. 34(11). 3282–3303. 99 indexed citations

15.

Sachindra, D. A., Fuchun Huang, Andrew Barton, & B. J. C. Perera. (2014). Statistical downscaling of general circulation model outputs to catchment scale hydroclimatic variables: issues, challenges and possible solutions. Journal of Water and Climate Change. 5(4). 496–525. 15 indexed citations

16.

Sachindra, D. A., Fuchun Huang, Andrew Barton, & B. J. C. Perera. (2014). Statistical downscaling of general circulation model outputs to precipitation—part 1: calibration and validation. International Journal of Climatology. 34(11). 3264–3281. 62 indexed citations

17.

Sachindra, D. A., Fuchun Huang, Andrew Barton, & B. J. C. Perera. (2012). Least square support vector and multi‐linear regression for statistically downscaling general circulation model outputs to catchment streamflows. International Journal of Climatology. 33(5). 1087–1106. 107 indexed citations

18.

Nandalal, K. D. W., et al.. (2012). Application of WRF weather model to forecast precipitation in Nilwala river basin. Engineer Journal of the Institution of Engineers Sri Lanka. 45(1). 51–51. 3 indexed citations

19.

Sachindra, D. A., et al.. (2011). Statistical downscaling of General Circulation Model outputs to catchment streamflows. Chan, F., Marinova, D. and Anderssen, R.S. (eds) MODSIM2011, 19th International Congress on Modelling and Simulation.. 3 indexed citations

20.

Perera, B. J. C., et al.. (2011). Multi-Objective Planning And Operation Of Water Supply Systems Subject To Climate Change. Zenodo (CERN European Organization for Nuclear Research). 2 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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