Ridwan Siddique

599 total citations
17 papers, 452 citations indexed

About

Ridwan Siddique is a scholar working on Global and Planetary Change, Water Science and Technology and Atmospheric Science. According to data from OpenAlex, Ridwan Siddique has authored 17 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Global and Planetary Change, 10 papers in Water Science and Technology and 7 papers in Atmospheric Science. Recurrent topics in Ridwan Siddique's work include Hydrology and Watershed Management Studies (10 papers), Climate variability and models (8 papers) and Hydrological Forecasting Using AI (7 papers). Ridwan Siddique is often cited by papers focused on Hydrology and Watershed Management Studies (10 papers), Climate variability and models (8 papers) and Hydrological Forecasting Using AI (7 papers). Ridwan Siddique collaborates with scholars based in United States, Malaysia and Australia. Ridwan Siddique's co-authors include Alfonso Mejía, Peter Ahnert, Sanjib Sharma, Seann Reed, Isa Ebtehaj, Hossein Bonakdari, Ravinesh C. Deo, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Mazen Ismaeel Ghareb and Salim Heddam and has published in prestigious journals such as Water Resources Research, Journal of Hydrology and Monthly Weather Review.

In The Last Decade

Ridwan Siddique

17 papers receiving 443 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ridwan Siddique United States 12 295 260 222 166 52 17 452
Taereem Kim United States 10 309 1.0× 253 1.0× 215 1.0× 138 0.8× 31 0.6× 20 471
N. Evora Canada 6 191 0.6× 191 0.7× 168 0.8× 167 1.0× 29 0.6× 10 392
Duc Hai Nguyen Vietnam 10 244 0.8× 213 0.8× 277 1.2× 101 0.6× 46 0.9× 18 419
Yingchun Huang China 10 327 1.1× 297 1.1× 198 0.9× 149 0.9× 11 0.2× 18 462
Morteza Lotfirad Iran 14 343 1.2× 237 0.9× 150 0.7× 51 0.3× 34 0.7× 27 484
E. Welles United States 8 305 1.0× 314 1.2× 220 1.0× 133 0.8× 44 0.8× 11 472
Meral Büyükyıldız Türkiye 10 230 0.8× 240 0.9× 283 1.3× 72 0.4× 55 1.1× 31 480
Johanna Orellana‐Alvear Ecuador 11 278 0.9× 163 0.6× 166 0.7× 243 1.5× 16 0.3× 27 473
Pakorn Ditthakit Thailand 11 178 0.6× 174 0.7× 186 0.8× 46 0.3× 38 0.7× 34 361
Oren Gilon United States 7 301 1.0× 330 1.3× 301 1.4× 106 0.6× 11 0.2× 8 496

Countries citing papers authored by Ridwan Siddique

Since Specialization
Citations

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

Fields of papers citing papers by Ridwan Siddique

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ridwan Siddique

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

All Works

17 of 17 papers shown
1.
Sharma, Sanjib, Ganesh R. Ghimire, & Ridwan Siddique. (2022). Machine learning for postprocessing ensemble streamflow forecasts. Journal of Hydroinformatics. 25(1). 126–139. 17 indexed citations
2.
Siddique, Ridwan, Alfonso Mejía, Naoki Mizukami, & Richard N. Palmer. (2021). Impacts of Global Warming of 1.5, 2.0 and 3.0 °C on Hydrologic Regimes in the Northeastern U.S.. Climate. 9(1). 9–9. 7 indexed citations
3.
Siddique, Ridwan & Richard N. Palmer. (2020). Climate Change Impacts on Local Flood Risks in the U.S. Northeast: A Case Study on the Connecticut and Merrimack River Basins. JAWRA Journal of the American Water Resources Association. 57(1). 75–95. 8 indexed citations
4.
Siddique, Ridwan, Ambarish V. Karmalkar, Fengyun Sun, & Richard N. Palmer. (2020). Hydrological extremes across the Commonwealth of Massachusetts in a changing climate. Journal of Hydrology Regional Studies. 32. 100733–100733. 17 indexed citations
5.
Salih, Sinan Q., Ahmad Sharafati, Isa Ebtehaj, et al.. (2020). Integrative stochastic model standardization with genetic algorithm for rainfall pattern forecasting in tropical and semi-arid environments. Hydrological Sciences Journal. 65(7). 1145–1157. 41 indexed citations
6.
Sharma, Sanjib, Ridwan Siddique, Seann Reed, Peter Ahnert, & Alfonso Mejía. (2019). Hydrological Model Diversity Enhances Streamflow Forecast Skill at Short‐ to Medium‐Range Timescales. Water Resources Research. 55(2). 1510–1530. 53 indexed citations
7.
Sharma, Sanjib, Ridwan Siddique, Seann Reed, et al.. (2018). Relative effects of statistical preprocessing and postprocessing on a regional hydrological ensemble prediction system. Hydrology and earth system sciences. 22(3). 1831–1849. 27 indexed citations
8.
Hosseiny, Hossein, et al.. (2018). A Hydraulic MultiModel Ensemble Framework for Visualizing Flood Inundation Uncertainty. JAWRA Journal of the American Water Resources Association. 54(4). 807–819. 27 indexed citations
9.
Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Zaher Mundher, Mazen Ismaeel Ghareb, Isa Ebtehaj, et al.. (2017). Rainfall Pattern Forecasting Using Novel Hybrid Intelligent Model Based ANFIS-FFA. Water Resources Management. 32(1). 105–122. 98 indexed citations
10.
Siddique, Ridwan & Alfonso Mejía. (2017). Ensemble Streamflow Forecasting across the U.S. Mid-Atlantic Region with a Distributed Hydrological Model Forced by GEFS Reforecasts. Journal of Hydrometeorology. 18(7). 1905–1928. 35 indexed citations
11.
Sharma, Sanjib, et al.. (2017). Postprocessing of GEFS Precipitation Ensemble Reforecasts over the U.S. Mid-Atlantic Region. Monthly Weather Review. 145(5). 1641–1658. 18 indexed citations
12.
Siddique, Ridwan, et al.. (2016). Quantifying Uncertainty in Flood Inundation Mapping Using Streamflow Ensembles and Multiple Hydraulic Modeling Techniques. AGU Fall Meeting Abstracts. 2016. 1 indexed citations
13.
Sharma, Sanjib, Ridwan Siddique, José D. Fuentes, et al.. (2016). Eastern U.S. Verification of Ensemble Precipitation Forecasts. Weather and Forecasting. 32(1). 117–139. 28 indexed citations
14.
Siddique, Ridwan, Alfonso Mejía, James Dean Brown, Seann Reed, & Peter Ahnert. (2015). Verification of precipitation forecasts from two numerical weather prediction models in the Middle Atlantic Region of the USA: A precursory analysis to hydrologic forecasting. Journal of Hydrology. 529. 1390–1406. 34 indexed citations
15.
Siddique, Ridwan, et al.. (2014). Statistical complexity in the hydrological information from urbanizing basins. AGU Fall Meeting Abstracts. 2014. 2 indexed citations
16.
Seo, Dong-Jun, Ridwan Siddique, & Peter Ahnert. (2014). Objective Reduction of Rain Gauge Network via Geostatistical Analysis of Uncertainty in Radar-Gauge Precipitation Estimation. Journal of Hydrologic Engineering. 20(4). 10 indexed citations
17.
Seo, Dong Jun, Ridwan Siddique, Yu Zhang, & Dong-Soo Kim. (2014). Improving real-time estimation of heavy-to-extreme precipitation using rain gauge data via conditional bias-penalized optimal estimation. Journal of Hydrology. 519. 1824–1835. 29 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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