C. D. Aju

757 total citations
21 papers, 484 citations indexed

About

C. D. Aju is a scholar working on Environmental Engineering, Global and Planetary Change and Management, Monitoring, Policy and Law. According to data from OpenAlex, C. D. Aju has authored 21 papers receiving a total of 484 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Environmental Engineering, 10 papers in Global and Planetary Change and 8 papers in Management, Monitoring, Policy and Law. Recurrent topics in C. D. Aju's work include Flood Risk Assessment and Management (9 papers), Groundwater and Watershed Analysis (8 papers) and Landslides and related hazards (8 papers). C. D. Aju is often cited by papers focused on Flood Risk Assessment and Management (9 papers), Groundwater and Watershed Analysis (8 papers) and Landslides and related hazards (8 papers). C. D. Aju collaborates with scholars based in India, United States and Australia. C. D. Aju's co-authors include A. L. Achu, Rajesh Reghunath, Girish Gopinath, Jobin Thomas, K. Satheesh Kumar, Pranav Prakash, Sabu Joseph, John Mathai, S. S. Vinod Chandra and E. Shaji and has published in prestigious journals such as SHILAP Revista de lepidopterología, Water Research and Chemosphere.

In The Last Decade

C. D. Aju

19 papers receiving 471 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C. D. Aju India 12 246 245 130 85 74 21 484
Jinsoo Kim South Korea 11 220 0.9× 319 1.3× 187 1.4× 123 1.4× 35 0.5× 36 600
A. Rajaneesh India 15 253 1.0× 340 1.4× 136 1.0× 88 1.0× 22 0.3× 31 530
Sudhakar D. Pardeshi India 9 223 0.9× 402 1.6× 338 2.6× 233 2.7× 43 0.6× 11 621
Mohammad Zare Iran 12 272 1.1× 380 1.6× 213 1.6× 161 1.9× 33 0.4× 37 775
Δ. Ρόζος Greece 10 344 1.4× 212 0.9× 82 0.6× 39 0.5× 18 0.2× 32 576
Asish Saha India 7 110 0.4× 265 1.1× 231 1.8× 175 2.1× 39 0.5× 11 476
Yabing Pei China 9 250 1.0× 176 0.7× 51 0.4× 30 0.4× 16 0.2× 10 403
Francesco Fusco Italy 11 252 1.0× 95 0.4× 69 0.5× 40 0.5× 70 0.9× 21 366
Sabrina Maria Rita Bonetto Italy 14 181 0.7× 62 0.3× 57 0.4× 36 0.4× 54 0.7× 49 478
Aafaf El Jazouli Morocco 9 254 1.0× 256 1.0× 211 1.6× 139 1.6× 9 0.1× 12 632

Countries citing papers authored by C. D. Aju

Since Specialization
Citations

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

Fields of papers citing papers by C. D. Aju

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. D. Aju. 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 C. D. Aju. The network helps show where C. D. Aju may publish in the future.

Co-authorship network of co-authors of C. D. Aju

This figure shows the co-authorship network connecting the top 25 collaborators of C. D. Aju. A scholar is included among the top collaborators of C. D. Aju 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 C. D. Aju. C. D. Aju 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.
Achu, A. L., et al.. (2025). Improved flood risk assessment using multi-model ensemble machine-learning techniques in a tropical river basin of Southern India. Physical Geography. 46(2). 127–155. 1 indexed citations
2.
3.
Aju, C. D., et al.. (2025). Exploring hydrochemical drivers of drinking water quality in a tropical river basin using self-organizing maps and explainable AI. Water Research. 284. 123884–123884. 8 indexed citations
5.
Achu, A. L., C. D. Aju, Jobin Thomas, et al.. (2025). Decoding the dynamics of July 2024 Mundakkai-Chooralmala landslide in Kerala (India): an analysis of formation mechanisms, impacts and lessons learned. Landslides. 22(4). 1181–1197. 7 indexed citations
6.
Gopinath, Girish, et al.. (2024). Hydrochemical investigation and prediction of groundwater quality in a tropical semi-arid region of southern India using machine learning. Groundwater for Sustainable Development. 27. 101343–101343. 5 indexed citations
7.
Aju, C. D., et al.. (2024). Groundwater quality prediction and risk assessment in Kerala, India: A machine-learning approach. Journal of Environmental Management. 370. 122616–122616. 20 indexed citations
8.
Aju, C. D., et al.. (2024). Emerging nitrate contamination in groundwater: Changing phase in a fast-growing state of India. Chemosphere. 357. 141964–141964. 18 indexed citations
10.
Achu, A. L., Jobin Thomas, C. D. Aju, H. Vijith, & Girish Gopinath. (2023). Redefining landslide susceptibility under extreme rainfall events using deep learning. Geomorphology. 448. 109033–109033. 18 indexed citations
11.
Achu, A. L., C. D. Aju, Mariano Di Napoli, et al.. (2023). Machine-learning based landslide susceptibility modelling with emphasis on uncertainty analysis. Geoscience Frontiers. 14(6). 101657–101657. 67 indexed citations
12.
Achu, A. L., et al.. (2022). Performance evaluation of machine learning and statistical techniques for modelling landslide susceptibility with limited field data. Earth Science Informatics. 16(1). 1025–1039. 24 indexed citations
13.
Aju, C. D., et al.. (2022). Neotectonics assessment using geomorphic indices: A study from the passive continental margin of India. Geology Ecology and Landscapes. 8(3). 394–409. 8 indexed citations
14.
Aju, C. D., Rajesh Reghunath, A. L. Achu, & A. Rajaneesh. (2021). Understanding the hydrogeochemical processes and physical parameters controlling the groundwater chemistry of a tropical river basin, South India. Environmental Science and Pollution Research. 29(16). 23561–23577. 23 indexed citations
15.
Achu, A. L., Sabu Joseph, C. D. Aju, & John Mathai. (2021). Preliminary analysis of a catastrophic landslide event on 6 August 2020 at Pettimudi, Kerala State, India. Landslides. 18(4). 1459–1463. 42 indexed citations
17.
Achu, A. L., et al.. (2021). Machine-learning modelling of fire susceptibility in a forest-agriculture mosaic landscape of southern India. Ecological Informatics. 64. 101348–101348. 88 indexed citations
18.
Achu, A. L., C. D. Aju, & Rajesh Reghunath. (2020). Spatial modelling of shallow landslide susceptibility: a study from the southern Western Ghats region of Kerala, India.. Annals of GIS. 26(2). 113–131. 47 indexed citations
19.
Achu, A. L., et al.. (2019). Spatio-Temporal Analysis of Road Accident Incidents and Delineation of Hotspots Using Geospatial Tools in Thrissur District, Kerala, India. KN - Journal of Cartography and Geographic Information. 69(4). 255–265. 21 indexed citations
20.
Aju, C. D., et al.. (2019). Terrain Characteristics and their Influence on the Temporal Behaviour of Hydraulic Heads in Kallada River Basin, Kerala. Journal of the Geological Society of India. 93(1). 61–67. 10 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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