Sudheer Ch

2.8k total citations
31 papers, 2.1k citations indexed

About

Sudheer Ch is a scholar working on Environmental Engineering, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Sudheer Ch has authored 31 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Environmental Engineering, 11 papers in Artificial Intelligence and 11 papers in Electrical and Electronic Engineering. Recurrent topics in Sudheer Ch's work include Hydrological Forecasting Using AI (15 papers), Energy Load and Power Forecasting (9 papers) and Groundwater flow and contamination studies (8 papers). Sudheer Ch is often cited by papers focused on Hydrological Forecasting Using AI (15 papers), Energy Load and Power Forecasting (9 papers) and Groundwater flow and contamination studies (8 papers). Sudheer Ch collaborates with scholars based in India, Malaysia and Serbia. Sudheer Ch's co-authors include Shahaboddin Shamshirband, Dalibor Petković, Shashi Mathur, B.K. Panigrahi, Kasra Mohammadi, Jan Adamowski, Muhammad Arif, Basant Yadav, Saad Mekhilef and Lanre Olatomiwa and has published in prestigious journals such as Water Resources Research, Journal of Hydrology and Energy Conversion and Management.

In The Last Decade

Sudheer Ch

31 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sudheer Ch India 22 917 783 760 495 426 31 2.1k
Ramendra Prasad Fiji 26 1.0k 1.1× 577 0.7× 728 1.0× 403 0.8× 532 1.2× 51 2.3k
Nawin Raj Australia 24 736 0.8× 716 0.9× 719 0.9× 265 0.5× 461 1.1× 49 1.9k
Mehdi Jamei Iran 37 891 1.0× 323 0.4× 435 0.6× 544 1.1× 458 1.1× 112 2.9k
Babak Mohammadi Sweden 32 1.5k 1.7× 521 0.7× 458 0.6× 1.0k 2.1× 1.3k 3.1× 85 2.9k
Mehmet Bilgili Türkiye 28 842 0.9× 589 0.8× 1.1k 1.5× 151 0.3× 249 0.6× 133 3.0k
Narjes Nabipour Vietnam 29 681 0.7× 346 0.4× 268 0.4× 648 1.3× 746 1.8× 57 2.7k
Mohammad Ali Ghorbani Iran 35 1.8k 1.9× 470 0.6× 448 0.6× 1.0k 2.1× 1.0k 2.4× 85 3.0k
Sungwon Kim South Korea 34 2.0k 2.2× 801 1.0× 622 0.8× 1.3k 2.5× 1.2k 2.7× 121 3.4k
Yongqi Liu China 19 282 0.3× 415 0.5× 842 1.1× 247 0.5× 187 0.4× 43 1.5k
Xianghui Lu China 9 453 0.5× 585 0.7× 287 0.4× 242 0.5× 533 1.3× 26 1.4k

Countries citing papers authored by Sudheer Ch

Since Specialization
Citations

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

Fields of papers citing papers by Sudheer Ch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sudheer Ch

This figure shows the co-authorship network connecting the top 25 collaborators of Sudheer Ch. A scholar is included among the top collaborators of Sudheer Ch 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 Sudheer Ch. Sudheer Ch 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.
Suryanarayana, Ch., et al.. (2022). Sustainable groundwater management through an optimal water supply system using a coupled simulation-optimization approach. Environmental Monitoring and Assessment. 194(12). 888–888. 3 indexed citations
2.
Yadav, Basant, et al.. (2018). Simulation-Optimization Approach for the Consideration of Well Clogging during Cost Estimation of In Situ Bioremediation System. Journal of Hydrologic Engineering. 23(3). 12 indexed citations
3.
Yadav, Basant, Shashi Mathur, Sudheer Ch, & Brijesh Kumar Yadav. (2017). Data-based modelling approach for variable density flow and solute transport simulation in a coastal aquifer. Hydrological Sciences Journal. 63(2). 210–226. 12 indexed citations
4.
Naganna, Sujay Raghavendra, Paresh Chandra Deka, Sudheer Ch, & William Hansen. (2017). Factors influencing streambed hydraulic conductivity and their implications on stream–aquifer interaction: a conceptual review. Environmental Science and Pollution Research. 24(32). 24765–24789. 41 indexed citations
5.
Yadav, Basant, Sudheer Ch, Shashi Mathur, & Jan Adamowski. (2017). Assessing the suitability of extreme learning machines (ELM) for groundwater level prediction. Journal of Water and Land Development. 32(1). 103–112. 62 indexed citations
6.
Gocić, Milan, Shahaboddin Shamshirband, Zaidi Razak, et al.. (2016). Long-Term Precipitation Analysis and Estimation of Precipitation Concentration Index Using Three Support Vector Machine Methods. Advances in Meteorology. 2016. 1–11. 58 indexed citations
7.
Yadav, Basant, Sudheer Ch, Shashi Mathur, & Jan Adamowski. (2016). Discharge forecasting using an Online Sequential Extreme Learning Machine (OS-ELM) model: A case study in Neckar River, Germany. Measurement. 92. 433–445. 70 indexed citations
8.
Mohammadi, Kasra, Shahaboddin Shamshirband, Lip Yee Por, et al.. (2015). Predicting the wind power density based upon extreme learning machine. Energy. 86. 232–239. 74 indexed citations
9.
Ćojbašić, Žarko, et al.. (2015). Surface roughness prediction by extreme learning machine constructed with abrasive water jet. Precision Engineering. 43. 86–92. 67 indexed citations
10.
Al-Shammari, Eiman Tamah, Afram Keivani, Shahaboddin Shamshirband, et al.. (2015). Prediction of heat load in district heating systems by Support Vector Machine with Firefly searching algorithm. Energy. 95. 266–273. 105 indexed citations
11.
12.
Suryanarayana, Ch., et al.. (2014). An integrated wavelet-support vector machine for groundwater level prediction in Visakhapatnam, India. Neurocomputing. 145. 324–335. 129 indexed citations
13.
Rathinasamy, Maheswaran, Rakesh Khosa, Jan Adamowski, et al.. (2014). Wavelet‐based multiscale performance analysis: An approach to assess and improve hydrological models. Water Resources Research. 50(12). 9721–9737. 77 indexed citations
14.
Ch, Sudheer, et al.. (2013). Optimal design of an in-situ bioremediation system using support vector machine and particle swarm optimization. Journal of Contaminant Hydrology. 151. 105–116. 34 indexed citations
15.
Ch, Sudheer, Maheswaran Rathinasamy, B.K. Panigrahi, & Shashi Mathur. (2013). A hybrid SVM-PSO model for forecasting monthly streamflow. Neural Computing and Applications. 24(6). 1381–1389. 138 indexed citations
16.
Ch, Sudheer, et al.. (2013). Hybrid algorithm performance with varying population size for multi-objective optimisation of in-situ bioremediation of groundwater. International Journal of Bio-Inspired Computation. 5(3). 164–164. 6 indexed citations
17.
Gaur, Shishir, Sudheer Ch, Didier Graillot, B. R. Chahar, & D. Nagesh Kumar. (2012). Application of Artificial Neural Networks and Particle Swarm Optimization for the Management of Groundwater Resources. Water Resources Management. 27(3). 927–941. 62 indexed citations
18.
Ch, Sudheer, et al.. (2012). Streamflow forecasting by SVM with quantum behaved particle swarm optimization. Neurocomputing. 101. 18–23. 126 indexed citations
19.
Ch, Sudheer & Shashi Mathur. (2012). Particle swarm optimization trained neural network for aquifer parameter estimation. KSCE Journal of Civil Engineering. 16(3). 298–307. 41 indexed citations
20.
Ch, Sudheer & Shashi Mathur. (2010). Modeling uncertainty analysis in flow and solute transport model using Adaptive Neuro Fuzzy Inference System and particle swarm optimization. KSCE Journal of Civil Engineering. 14(6). 941–951. 14 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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