Maya L. Pai
- Plant Science top 10%
- Environmental Engineering top 10%
- Analytical Chemistry top 10%
- Global and Planetary Change
- Electrical and Electronic Engineering
- Co-authors
- S. AdarshA. N. BalchandP. Vijayalakshmi
- Topics
- Hydrological Forecasting Using AI (8 papers)Climate variability and models (8 papers)Energy Load and Power Forecasting (4 papers)
- Partner nations
- India
In The Last Decade
Maya L. Pai
17 papers receiving 309 citations
Peers
Comparison fields: 5 of 63
- Plant Science 179
- Environmental Engineering 86
- Analytical Chemistry 71
- Global and Planetary Change 68
- Electrical and Electronic Engineering 43
Countries citing papers authored by Maya L. Pai
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 50 | |
| 7 | 6 | |
| 8 | 4 | |
| 9 | 2 | |
| 10 | 2 | |
| 11 | 8 | |
| 12 | 1 | |
| 13 | 23 | |
| 14 | 12 | |
| 15 | 91 | |
| 16 | Artificial Neural Network Model for Identifying Early Readmission of Diabetic Patients | 2 |
| 17 | 105 | |
| 18 | 17 | |
| 19 | The Reach of Television: Viewing Habits and Patterns in Kerala | 0 |
| 20 | Can the Drought/Flood Monsoon Conditions over the Indian subcontinent be forecasted using Artificial Neural Networks? | 2 |
About Maya L. Pai
Maya L. Pai is a scholar working on Environmental Engineering, Health Information Management and Global and Planetary Change, having authored 21 papers that have together received 336 indexed citations. Recurring topics across this work include Hydrological Forecasting Using AI (8 papers), Climate variability and models (8 papers) and Energy Load and Power Forecasting (4 papers). The work is most often cited by research in Analytical Chemistry (71 citations), Environmental Engineering (86 citations) and Plant Science (179 citations). Maya L. Pai has collaborated with scholars based in India. Frequent co-authors include S. Adarsh, A. N. Balchand and P. Vijayalakshmi. Their work appears in journals such as Applied Soft Computing, Natural Hazards and Multimedia Tools and Applications.
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.