Maya L. Pai

567 total citations
21 papers, 336 citations indexed

About

Maya L. Pai is a scholar working on Environmental Engineering, Global and Planetary Change and Artificial Intelligence. According to data from OpenAlex, Maya L. Pai has authored 21 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Environmental Engineering, 8 papers in Global and Planetary Change and 4 papers in Artificial Intelligence. Recurrent topics in Maya L. Pai's work include Hydrological Forecasting Using AI (8 papers), Climate variability and models (8 papers) and Energy Load and Power Forecasting (4 papers). Maya L. Pai is often cited by papers focused on Hydrological Forecasting Using AI (8 papers), Climate variability and models (8 papers) and Energy Load and Power Forecasting (4 papers). Maya L. Pai collaborates with scholars based in India. Maya L. Pai's co-authors include S. Adarsh, A. N. Balchand and P. Vijayalakshmi and has published in prestigious journals such as Applied Soft Computing, Natural Hazards and Multimedia Tools and Applications.

In The Last Decade

Maya L. Pai

17 papers receiving 309 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maya L. Pai India 8 179 86 71 68 43 21 336
Santosha Rathod India 13 219 1.2× 59 0.7× 46 0.6× 72 1.1× 49 1.1× 89 533
Weirong Chen China 11 191 1.1× 86 1.0× 73 1.0× 47 0.7× 35 0.8× 17 470
Xiaoyan Zhao China 11 72 0.4× 51 0.6× 34 0.5× 59 0.9× 60 1.4× 54 523
Yongnian Jiang China 9 146 0.8× 109 1.3× 33 0.5× 26 0.4× 24 0.6× 13 444
Md Yeasin India 10 77 0.4× 66 0.8× 46 0.6× 47 0.7× 35 0.8× 71 344
Jiuhao Li China 12 238 1.3× 38 0.4× 64 0.9× 48 0.7× 17 0.4× 37 453
Gaurav Singhal India 10 86 0.5× 58 0.7× 37 0.5× 31 0.5× 24 0.6× 20 360
Dilli Paudel Netherlands 6 304 1.7× 38 0.4× 83 1.2× 45 0.7× 14 0.3× 8 463
Sandeep V. Gaikwad India 8 68 0.4× 33 0.4× 17 0.2× 30 0.4× 43 1.0× 27 229
Sven Peets United Kingdom 8 263 1.5× 114 1.3× 12 0.2× 68 1.0× 16 0.4× 13 504

Countries citing papers authored by Maya L. Pai

Since Specialization
Citations

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

Fields of papers citing papers by Maya L. Pai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maya L. Pai. 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 Maya L. Pai. The network helps show where Maya L. Pai may publish in the future.

Co-authorship network of co-authors of Maya L. Pai

This figure shows the co-authorship network connecting the top 25 collaborators of Maya L. Pai. A scholar is included among the top collaborators of Maya L. Pai 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 Maya L. Pai. Maya L. Pai 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
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Pai, Maya L., et al.. (2024). A hybrid decomposition-based Machine Learning approach for predicting subsurface temperature in the Arabian Sea. Modeling Earth Systems and Environment. 10(6). 7295–7314. 1 indexed citations
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Pai, Maya L., et al.. (2022). A multivariate EMD-LSTM model aided with Time Dependent Intrinsic Cross-Correlation for monthly rainfall prediction. Applied Soft Computing. 123. 108941–108941. 50 indexed citations
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Pai, Maya L., et al.. (2022). Time-dependent intrinsic cross-correlation approach for multi-scale teleconnection analysis for monthly rainfall of India. Meteorology and Atmospheric Physics. 134(4). 6 indexed citations
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Pai, Maya L., et al.. (2022). Evaluating the performance of bagging-based k-nearest neighbor ensemble with the voting rule selection method. Multimedia Tools and Applications. 81(15). 20741–20762. 4 indexed citations
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Pai, Maya L., et al.. (2021). Label ranking‐based recommendation system to rank crops for agroecological units. Concurrency and Computation Practice and Experience. 34(5). 2 indexed citations
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Pai, Maya L., et al.. (2020). An investigation on drought teleconnection with indian ocean dipole and el-nino southern oscillation for peninsular india using time dependent intrinsic correlation. IOP Conference Series Earth and Environmental Science. 491(1). 12007–12007. 8 indexed citations
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Pai, Maya L., et al.. (2020). Analytical evidence for deep ocean warming trend in tropical Indian Ocean. IOP Conference Series Earth and Environmental Science. 491(1). 12014–12014. 1 indexed citations
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Pai, Maya L., et al.. (2020). Adaptive EEMD-ANN hybrid model for Indian summer monsoon rainfall forecasting. Theoretical and Applied Climatology. 141(1-2). 1–17. 23 indexed citations
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Pai, Maya L., et al.. (2020). Data Mining based Geospatial Clustering for Suitable Recommendation system. 132–139. 12 indexed citations
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Pai, Maya L., et al.. (2020). Detection of Rice Leaf Diseases Using Image Processing. 424–430. 91 indexed citations
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Pai, Maya L., et al.. (2019). Artificial Neural Network Model for Identifying Early Readmission of Diabetic Patients. 8(6). 2 indexed citations
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Pai, Maya L., et al.. (2019). Improving the prediction accuracy of soil nutrient classification by optimizing extreme learning machine parameters. Information Processing in Agriculture. 7(1). 72–82. 105 indexed citations
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Pai, Maya L., et al.. (2018). Empirical forecasting and Indian Ocean dipole teleconnections of south–west monsoon rainfall in Kerala. Meteorology and Atmospheric Physics. 131(4). 1055–1065. 17 indexed citations
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Vijayalakshmi, P., et al.. (2018). The Reach of Television: Viewing Habits and Patterns in Kerala. 118.
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Pai, Maya L., et al.. (2017). Can the Drought/Flood Monsoon Conditions over the Indian subcontinent be forecasted using Artificial Neural Networks?. 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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