Aneesh Mathew

2.6k total citations
60 papers, 1.8k citations indexed

About

Aneesh Mathew is a scholar working on Environmental Engineering, Health, Toxicology and Mutagenesis and Global and Planetary Change. According to data from OpenAlex, Aneesh Mathew has authored 60 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Environmental Engineering, 32 papers in Health, Toxicology and Mutagenesis and 26 papers in Global and Planetary Change. Recurrent topics in Aneesh Mathew's work include Urban Heat Island Mitigation (24 papers), Urban Green Space and Health (20 papers) and Hydrology and Watershed Management Studies (15 papers). Aneesh Mathew is often cited by papers focused on Urban Heat Island Mitigation (24 papers), Urban Green Space and Health (20 papers) and Hydrology and Watershed Management Studies (15 papers). Aneesh Mathew collaborates with scholars based in India, Saudi Arabia and Estonia. Aneesh Mathew's co-authors include Sumit Khandelwal, Nivedita Kaul, Padala Raja Shekar, P. Sarwesh, Neha Gupta, Rohit Goyal, Rajesh Kumar, Sreenu Sreekumar, Abhilash T. Nair and Avadhoot Bhosale and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Scientific Reports.

In The Last Decade

Aneesh Mathew

56 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aneesh Mathew India 24 1.5k 821 752 397 243 60 1.8k
Jorge E. González United States 26 854 0.6× 736 0.9× 409 0.5× 541 1.4× 77 0.3× 95 1.8k
Weiwen Wang China 24 873 0.6× 788 1.0× 396 0.5× 638 1.6× 38 0.2× 68 1.7k
Virginia Stovin United Kingdom 28 2.7k 1.9× 1.3k 1.6× 823 1.1× 77 0.2× 333 1.4× 95 3.4k
Muhammad Tauhidur Rahman Saudi Arabia 20 490 0.3× 708 0.9× 250 0.3× 242 0.6× 81 0.3× 46 1.5k
Bijay Halder Malaysia 18 550 0.4× 587 0.7× 264 0.4× 251 0.6× 121 0.5× 88 1.1k
Leena Järvi Finland 28 1.9k 1.3× 1.6k 2.0× 1.3k 1.7× 1.3k 3.2× 45 0.2× 86 3.0k
Ashley M. Broadbent United States 23 1.2k 0.8× 573 0.7× 816 1.1× 245 0.6× 38 0.2× 36 1.7k
Jia Wang China 21 1.2k 0.8× 917 1.1× 1.0k 1.4× 235 0.6× 47 0.2× 71 1.8k
Erik Velasco Singapore 28 1.5k 1.0× 1.1k 1.3× 1.5k 2.0× 967 2.4× 31 0.1× 61 2.5k
Yanfang Liu China 19 784 0.5× 444 0.5× 407 0.5× 152 0.4× 46 0.2× 48 1.5k

Countries citing papers authored by Aneesh Mathew

Since Specialization
Citations

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

Fields of papers citing papers by Aneesh Mathew

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aneesh Mathew

This figure shows the co-authorship network connecting the top 25 collaborators of Aneesh Mathew. A scholar is included among the top collaborators of Aneesh Mathew 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 Aneesh Mathew. Aneesh Mathew 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.
Shekar, Padala Raja & Aneesh Mathew. (2025). Sub-watershed prioritization for soil erosion: a combined morphometric analysis, PCA, and MCDM approach. Journal of Engineering and Applied Science. 72(1).
2.
Shekar, Padala Raja, et al.. (2025). Towards Sustainable Development: Ranking of Soil Erosion-Prone Areas Using Morphometric Analysis and Multi-Criteria Decision-Making Techniques. Sustainability. 17(5). 2124–2124. 7 indexed citations
3.
4.
Mathew, Aneesh, et al.. (2025). Urban heat island and pollutant correlations in Bangalore, India using geospatial techniques. SHILAP Revista de lepidopterología. 14. 100108–100108. 1 indexed citations
5.
Mathew, Aneesh, et al.. (2024). Unveiling urban air quality dynamics during COVID-19: a Sentinel-5P TROPOMI hotspot analysis. Scientific Reports. 14(1). 21624–21624. 3 indexed citations
6.
Mathew, Aneesh, et al.. (2024). Revealing the urban heat Island: Investigating spatiotemporal surface temperature dynamics, modeling, and interactions with controllable and non-controllable factors. Remote Sensing Applications Society and Environment. 35. 101219–101219. 14 indexed citations
7.
Mathew, Aneesh, et al.. (2024). Insights into airborne particulate matter: artificial intelligence-driven PM2.5 modelling in Hyderabad district, India. Stochastic Environmental Research and Risk Assessment. 39(10). 4575–4598. 1 indexed citations
8.
Mathew, Aneesh, et al.. (2024). Spatio-temporal variation and trend analysis of ground-level ozone in major Indian metropolitan cities: A geospatial approach. Remote Sensing Applications Society and Environment. 37. 101395–101395. 1 indexed citations
9.
Mathew, Aneesh, et al.. (2024). Trend Analysis of Aerosol Concentrations over Last Two Decades from MODIS Retrievals over Hyderabad District of India. Geomatics and Environmental Engineering. 18(1). 83–116. 5 indexed citations
10.
Shekar, Padala Raja, Aneesh Mathew, & Kul Vaibhav Sharma. (2024). A hybrid CNN–RNN model for rainfall–runoff modeling in the Potteruvagu watershed of India. CLEAN - Soil Air Water. 53(1). 3 indexed citations
11.
Shekar, Padala Raja & Aneesh Mathew. (2023). Assessing groundwater potential zones and artificial recharge sites in the monsoon-fed Murredu river basin, India: An integrated approach using GIS, AHP, and Fuzzy-AHP. Groundwater for Sustainable Development. 23. 100994–100994. 35 indexed citations
12.
Shekar, Padala Raja & Aneesh Mathew. (2023). Watershed prioritization of drainage basins based on geomorphometric parameters, Neyyar watershed, India. Quaestiones Geographicae. 42(3). 29–47. 3 indexed citations
13.
Shekar, Padala Raja & Aneesh Mathew. (2023). Delineation of groundwater potential zones and identification of artificial recharge sites in the Kinnerasani Watershed, India, using remote sensing-GIS, AHP, and Fuzzy-AHP techniques. AQUA - Water Infrastructure Ecosystems and Society. 72(8). 1474–1498. 14 indexed citations
14.
Shekar, Padala Raja, Aneesh Mathew, Arunabh Pandey, & Avadhoot Bhosale. (2023). A comparison of the performance of SWAT and artificial intelligence models for monthly rainfall–runoff analysis in the Peddavagu River Basin, India. AQUA - Water Infrastructure Ecosystems and Society. 72(9). 1707–1730. 12 indexed citations
15.
Shekar, Padala Raja, et al.. (2023). Rainfall-Runoff modelling using SWAT and eight artificial intelligence models in the Murredu Watershed, India. Environmental Monitoring and Assessment. 195(9). 1041–1041. 13 indexed citations
16.
17.
Mathew, Aneesh, et al.. (2023). Short term water demand forecast modelling using artificial intelligence for smart water management. Sustainable Cities and Society. 95. 104610–104610. 63 indexed citations
18.
Sharma, Kul Vaibhav, et al.. (2023). Water distribution system modelling of GIS-remote sensing and EPANET for the integrated efficient design. Journal of Hydroinformatics. 26(3). 567–588. 5 indexed citations
19.
Shekar, Padala Raja & Aneesh Mathew. (2023). Integrated assessment of groundwater potential zones and artificial recharge sites using GIS and Fuzzy-AHP: a case study in Peddavagu watershed, India. Environmental Monitoring and Assessment. 195(7). 906–906. 25 indexed citations
20.

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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