Pavitra Kumar

886 total citations
36 papers, 615 citations indexed

About

Pavitra Kumar is a scholar working on Environmental Engineering, Water Science and Technology and Global and Planetary Change. According to data from OpenAlex, Pavitra Kumar has authored 36 papers receiving a total of 615 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Environmental Engineering, 14 papers in Water Science and Technology and 10 papers in Global and Planetary Change. Recurrent topics in Pavitra Kumar's work include Hydrological Forecasting Using AI (17 papers), Hydrology and Watershed Management Studies (7 papers) and Energy Load and Power Forecasting (7 papers). Pavitra Kumar is often cited by papers focused on Hydrological Forecasting Using AI (17 papers), Hydrology and Watershed Management Studies (7 papers) and Energy Load and Power Forecasting (7 papers). Pavitra Kumar collaborates with scholars based in Malaysia, United Arab Emirates and United Kingdom. Pavitra Kumar's co-authors include Ahmed El‐Shafie, Ali Najah Ahmed, Mohsen Sherif, Ahmed Sefelnasr, Sai Hin Lai, Yusuf Essam, Ahmed H. Birima, Nur’atiah Zaini, Yuk Feng Huang and Nicoletta Leonardi and has published in prestigious journals such as PLoS ONE, Scientific Reports and Water Resources Research.

In The Last Decade

Pavitra Kumar

34 papers receiving 595 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pavitra Kumar Malaysia 14 292 203 118 103 88 36 615
Asaad M. Armanuos Egypt 15 359 1.2× 174 0.9× 90 0.8× 157 1.5× 51 0.6× 44 672
Ahmed H. Birima Malaysia 14 356 1.2× 297 1.5× 78 0.7× 131 1.3× 67 0.8× 21 580
Akram Seifi Iran 14 415 1.4× 325 1.6× 103 0.9× 168 1.6× 90 1.0× 28 720
Fatemeh Barzegari Banadkooki Iran 11 356 1.2× 250 1.2× 75 0.6× 163 1.6× 92 1.0× 18 550
Mohammed Benaafi Saudi Arabia 18 267 0.9× 262 1.3× 88 0.7× 82 0.8× 52 0.6× 55 735
A. A. Masrur Ahmed Australia 15 482 1.7× 334 1.6× 116 1.0× 183 1.8× 114 1.3× 36 863
Roozbeh Moazenzadeh Iran 11 339 1.2× 248 1.2× 138 1.2× 259 2.5× 95 1.1× 15 707
Elnaz Sharghi Iran 18 408 1.4× 333 1.6× 89 0.8× 257 2.5× 82 0.9× 29 760
Jazuli Abdullahi Cyprus 10 356 1.2× 253 1.2× 131 1.1× 180 1.7× 89 1.0× 22 612
Alireza Docheshmeh Gorgij Iran 13 389 1.3× 315 1.6× 105 0.9× 221 2.1× 88 1.0× 21 749

Countries citing papers authored by Pavitra Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Pavitra Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pavitra Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Pavitra Kumar. A scholar is included among the top collaborators of Pavitra Kumar 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 Pavitra Kumar. Pavitra Kumar 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.
Kumar, Pavitra & Nicoletta Leonardi. (2025). Predicting Morphological Changes Along a Macrotidal Coastline Using a Two‐Stage Machine Learning Model. Water Resources Research. 61(4).
2.
Ahmed, Ali Najah, et al.. (2025). Advancements in rainfall-runoff prediction: Exploring state-of-the-art neural computing modeling approaches. Alexandria Engineering Journal. 121. 138–149.
3.
Forrester, James, Nicoletta Leonardi, James R. Cooper, & Pavitra Kumar. (2024). Seagrass as a nature-based solution for coastal protection. Ecological Engineering. 206. 107316–107316. 8 indexed citations
4.
Khan, Mohammad Sherjeel Javed, Lariyah Mohd Sidek, Pavitra Kumar, et al.. (2024). Machine learning based-model to predict catalytic performance on removal of hazardous nitrophenols and azo dyes pollutants from wastewater. International Journal of Biological Macromolecules. 278(Pt 3). 134701–134701. 9 indexed citations
5.
Kumar, Pavitra & Nicoletta Leonardi. (2024). Exploring Mega‐Nourishment Interventions Using Long Short‐Term Memory (LSTM) Models and the Sand Engine Surface MATLAB Framework. Geophysical Research Letters. 51(4). 5 indexed citations
6.
7.
Ahmed, Ali Najah, Chow Ming Fai, Marlinda Abdul Malek, et al.. (2023). Integrated GIS and multivariate statistical approach for spatial and temporal variability analysis for lake water quality index. Cogent Engineering. 10(1). 10 indexed citations
8.
Kumar, Pavitra & Nicoletta Leonardi. (2023). Coastal forecast through coupling of Artificial Intelligence and hydro-morphodynamical modelling. Coastal Engineering Journal. 65(3). 450–469. 6 indexed citations
9.
Kumar, Pavitra, et al.. (2023). Feasibility analysis for predicting the compressive and tensile strength of concrete using machine learning algorithms. Case Studies in Construction Materials. 18. e01893–e01893. 28 indexed citations
10.
Malek, Marlinda Abdul, Su Yean Teh, Ali Najah Ahmed, et al.. (2023). Development of inundation maps along East Coast of Peninsular Malaysia due to predicted seaquake from Manila Trench. Applied Water Science. 13(2). 3 indexed citations
11.
Huang, Yuk Feng, et al.. (2022). Rainfall Variability Index (RVI) analysis of dry spells in Malaysia. Natural Hazards. 112(2). 1423–1475. 8 indexed citations
12.
Lai, Sai Hin, et al.. (2022). Three Steps towards Better Forecasting for Streamflow Deep Learning. Applied Sciences. 12(24). 12567–12567. 12 indexed citations
13.
Lai, Sai Hin, Pavitra Kumar, Ali Najah Ahmed, et al.. (2022). Modeling the infiltration rate of wastewater infiltration basins considering water quality parameters using different artificial neural network techniques. Engineering Applications of Computational Fluid Mechanics. 16(1). 397–421. 20 indexed citations
14.
Ahmed, Ali Najah, Pavitra Kumar, Nur’atiah Zaini, et al.. (2022). Wind speed prediction over Malaysia using various machine learning models: potential renewable energy source. Engineering Applications of Computational Fluid Mechanics. 16(1). 1673–1689. 13 indexed citations
15.
Latif, Sarmad Dashti, et al.. (2022). Optimized Model Inputs Selections for Enhancing River Streamflow Forecasting Accuracy Using Different Artificial Intelligence Techniques. Water Resources Management. 36(15). 5999–6016. 19 indexed citations
16.
Ehteram, Mohammad, Ali Najah Ahmed, Pavitra Kumar, Mohsen Sherif, & Ahmed El‐Shafie. (2021). Predicting freshwater production and energy consumption in a seawater greenhouse based on ensemble frameworks using optimized multi-layer perceptron. Energy Reports. 7. 6308–6326. 19 indexed citations
17.
Essam, Yusuf, Pavitra Kumar, Ali Najah Ahmed, Muhammad Ary Murti, & Ahmed El‐Shafie. (2021). Exploring the reliability of different artificial intelligence techniques in predicting earthquake for Malaysia. Soil Dynamics and Earthquake Engineering. 147. 106826–106826. 26 indexed citations
18.
Ehteram, Mohammad, Fatemeh Panahi, Ali Najah Ahmed, et al.. (2021). Predicting evaporation with optimized artificial neural network using multi-objective salp swarm algorithm. Environmental Science and Pollution Research. 29(7). 10675–10701. 11 indexed citations
19.
AlDahoul, Nouar, Yusuf Essam, Pavitra Kumar, et al.. (2021). Suspended sediment load prediction using long short-term memory neural network. Scientific Reports. 11(1). 7826–7826. 72 indexed citations
20.
Kumar, Pavitra, Sai Hin Lai, Nuruol Syuhadaa Mohd, et al.. (2020). Review of Nitrogen Compounds Prediction in Water Bodies Using Artificial Neural Networks and Other Models. Sustainability. 12(11). 4359–4359. 34 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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