Santanu Mallik

449 total citations
12 papers, 284 citations indexed

About

Santanu Mallik is a scholar working on Environmental Engineering, Water Science and Technology and Geochemistry and Petrology. According to data from OpenAlex, Santanu Mallik has authored 12 papers receiving a total of 284 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Environmental Engineering, 5 papers in Water Science and Technology and 3 papers in Geochemistry and Petrology. Recurrent topics in Santanu Mallik's work include Groundwater and Watershed Analysis (4 papers), Groundwater and Isotope Geochemistry (3 papers) and Hydrological Forecasting Using AI (3 papers). Santanu Mallik is often cited by papers focused on Groundwater and Watershed Analysis (4 papers), Groundwater and Isotope Geochemistry (3 papers) and Hydrological Forecasting Using AI (3 papers). Santanu Mallik collaborates with scholars based in India, Finland and Saudi Arabia. Santanu Mallik's co-authors include Umesh Mishra, Somnath Bera, G. V. Ramana, Atiqur Rahman, Mohd Waseem Naikoo, Shahfahad, Swapan Talukdar, Shakeel Ahmed, Potsangbam Albino Kumar and Javed Alam and has published in prestigious journals such as Journal of Cleaner Production, Journal of Environmental Management and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Santanu Mallik

11 papers receiving 276 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Santanu Mallik India 8 176 149 55 35 34 12 284
Ahmed M. Saqr Egypt 11 146 0.8× 120 0.8× 72 1.3× 39 1.1× 26 0.8× 27 339
Abdul Latif Qureshi Pakistan 12 131 0.7× 128 0.9× 51 0.9× 15 0.4× 22 0.6× 41 322
Atilla Akkoyunlu Türkiye 9 185 1.1× 267 1.8× 84 1.5× 18 0.5× 60 1.8× 22 380
Houria Dakak Morocco 10 140 0.8× 113 0.8× 103 1.9× 27 0.8× 14 0.4× 28 279
Abdulaziz Alqarawy Saudi Arabia 9 214 1.2× 191 1.3× 206 3.7× 39 1.1× 15 0.4× 19 330
Ali Saleh Egypt 8 133 0.8× 225 1.5× 83 1.5× 51 1.5× 34 1.0× 11 338
Laureline Josset United States 6 106 0.6× 106 0.7× 66 1.2× 16 0.5× 12 0.4× 8 269
O. T. Olurin Nigeria 11 116 0.7× 96 0.6× 86 1.6× 65 1.9× 28 0.8× 44 361
Rabia Köklü Türkiye 7 255 1.4× 345 2.3× 59 1.1× 56 1.6× 118 3.5× 18 435
Yoshihiko Iseri Japan 10 72 0.4× 130 0.9× 32 0.6× 25 0.7× 14 0.4× 34 320

Countries citing papers authored by Santanu Mallik

Since Specialization
Citations

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

Fields of papers citing papers by Santanu Mallik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Santanu Mallik

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

All Works

12 of 12 papers shown
1.
Mallik, Santanu, et al.. (2025). Enhancing soil moisture prediction with explainable AI: Integrating IoT and multi-sensor remote sensing data through soft computing. Applied Soft Computing. 180. 113406–113406. 6 indexed citations
2.
Mallik, Santanu, et al.. (2025). Comprehensive assessment of E. coli dynamics in river water using advanced machine learning and explainable AI. Process Safety and Environmental Protection. 195. 106816–106816. 3 indexed citations
3.
Mallik, Santanu, et al.. (2024). Enhancing groundwater potential evaluation: Integrating borehole log data with hybrid-MCDM approach. Journal of Earth System Science. 133(4). 1 indexed citations
4.
Shukla, Arun Kumar, Javed Alam, Santanu Mallik, et al.. (2024). Optimization and prediction of dye adsorption utilising cross-linked chitosan-activated charcoal: Response Surface Methodology and machine learning. Journal of Molecular Liquids. 411. 125745–125745. 27 indexed citations
5.
Talukdar, Swapan, Shahfahad, Shakeel Ahmed, et al.. (2023). Predicting lake water quality index with sensitivity-uncertainty analysis using deep learning algorithms. Journal of Cleaner Production. 406. 136885–136885. 77 indexed citations
6.
Shahfahad, Somnath Bera, Mohd Waseem Naikoo, et al.. (2023). Optimisation and interpretation of machine and deep learning models for improved water quality management in Lake Loktak. Journal of Environmental Management. 351. 119866–119866. 44 indexed citations
7.
Mallik, Santanu, Saikat Das, Umesh Mishra, et al.. (2023). Prediction of non-carcinogenic health risk using Hybrid Monte Carlo-machine learning approach. Human and Ecological Risk Assessment An International Journal. 29(3-4). 777–800. 11 indexed citations
8.
Mallik, Santanu, et al.. (2022). Prediction of irrigation water suitability using geospatial computing approach: a case study of Agartala city, India. Environmental Science and Pollution Research. 30(55). 116522–116537. 17 indexed citations
9.
Mallik, Santanu, et al.. (2021). Local Scale Groundwater Vulnerability Assessment with an Improved DRASTIC Model. Natural Resources Research. 30(3). 2145–2160. 25 indexed citations
10.
Mallik, Santanu, et al.. (2020). Mapping and prediction of soil organic carbon by an advanced geostatistical technique using remote sensing and terrain data. Geocarto International. 37(8). 2198–2214. 29 indexed citations
11.
Mallik, Santanu, et al.. (2020). Groundwater suitability analysis for drinking using GIS based fuzzy logic. Ecological Indicators. 121. 107179–107179. 43 indexed citations
12.
Nilesh, K., et al.. (2009). Comparative antioxidant activity of propolis from Indian sub continent using 2,2-diphenyl-1-picrylhydrazyl (DPPH).. IEEE Transactions on Biomedical Engineering. 4(3). 303–306. 1 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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