A. L. Achu

1.5k total citations
37 papers, 975 citations indexed

About

A. L. Achu is a scholar working on Global and Planetary Change, Management, Monitoring, Policy and Law and Environmental Engineering. According to data from OpenAlex, A. L. Achu has authored 37 papers receiving a total of 975 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Global and Planetary Change, 14 papers in Management, Monitoring, Policy and Law and 12 papers in Environmental Engineering. Recurrent topics in A. L. Achu's work include Landslides and related hazards (14 papers), Flood Risk Assessment and Management (14 papers) and Groundwater and Watershed Analysis (9 papers). A. L. Achu is often cited by papers focused on Landslides and related hazards (14 papers), Flood Risk Assessment and Management (14 papers) and Groundwater and Watershed Analysis (9 papers). A. L. Achu collaborates with scholars based in India, United States and Vietnam. A. L. Achu's co-authors include Rajesh Reghunath, Jobin Thomas, C. D. Aju, Girish Gopinath, K. Satheesh Kumar, Duong Tran Anh, Quoc Bao Pham, Pranav Prakash, Sabu Joseph and John Mathai and has published in prestigious journals such as SHILAP Revista de lepidopterología, Chemosphere and Journal of Environmental Management.

In The Last Decade

A. L. Achu

35 papers receiving 948 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. L. Achu India 18 500 428 342 200 120 37 975
Enke Hou China 13 485 1.0× 320 0.7× 345 1.0× 247 1.2× 74 0.6× 54 957
Alireza Motevalli Iran 8 367 0.7× 329 0.8× 281 0.8× 167 0.8× 99 0.8× 13 854
Adnan Özdemir Türkiye 12 712 1.4× 592 1.4× 551 1.6× 316 1.6× 79 0.7× 19 1.2k
Sashikanta Sahoo India 13 439 0.9× 233 0.5× 287 0.8× 279 1.4× 107 0.9× 37 914
Bilal Aslam Pakistan 20 371 0.7× 255 0.6× 392 1.1× 210 1.1× 99 0.8× 57 1.1k
Yawar Hussain Brazil 16 367 0.7× 348 0.8× 251 0.7× 128 0.6× 80 0.7× 61 1.0k
Ramkrishna Maiti India 18 502 1.0× 392 0.9× 385 1.1× 234 1.2× 46 0.4× 52 1.3k
Eusébio Reis Portugal 18 630 1.3× 374 0.9× 124 0.4× 213 1.1× 57 0.5× 39 957
Sadhan Malik India 18 835 1.7× 293 0.7× 484 1.4× 475 2.4× 69 0.6× 32 1.2k
Prabin Kayastha Belgium 13 596 1.2× 798 1.9× 144 0.4× 111 0.6× 82 0.7× 19 1.2k

Countries citing papers authored by A. L. Achu

Since Specialization
Citations

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

Fields of papers citing papers by A. L. Achu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. L. Achu. 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 A. L. Achu. The network helps show where A. L. Achu may publish in the future.

Co-authorship network of co-authors of A. L. Achu

This figure shows the co-authorship network connecting the top 25 collaborators of A. L. Achu. A scholar is included among the top collaborators of A. L. Achu 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 A. L. Achu. A. L. Achu 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.
Sreelekshmi, S., S. Bijoy Nandan, Atef Belhaj Ali, et al.. (2025). Distribution, drivers, and community perceptions of recent mass mangrove dieback in Maldives. Regional Environmental Change. 25(2). 1 indexed citations
5.
Achu, A. L., et al.. (2024). Multi-model seismic susceptibility assessment of the 1950 great Assam earthquake in the Eastern Himalayan front. SHILAP Revista de lepidopterología. 3(3). 100270–100270. 3 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
9.
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
10.
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
11.
Gopinath, Girish, et al.. (2023). Ensemble of fuzzy-analytical hierarchy process in landslide susceptibility modeling from a humid tropical region of Western Ghats, Southern India. Environmental Science and Pollution Research. 31(29). 41370–41387. 17 indexed citations
12.
Achu, A. L., et al.. (2021). Assessment of water quality in a tropical ramsar wetland of southern India in the wake of COVID-19. Remote Sensing Applications Society and Environment. 23. 100604–100604. 20 indexed citations
13.
Pham, Quoc Bao, Yacine Achour, Sk Ajim Ali, et al.. (2021). A comparison among fuzzy multi-criteria decision making, bivariate, multivariate and machine learning models in landslide susceptibility mapping. Geomatics Natural Hazards and Risk. 12(1). 1741–1777. 111 indexed citations
15.
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
16.
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., Girish Gopinath, & U. Surendran. (2021). Landslide susceptibility modelling using deep-learning and machine-learning methods-A study from southern Western Ghats, India. 360–364. 7 indexed citations
18.
Achu, A. L., et al.. (2020). Landslide susceptibility modelling using integrated evidential belief function based logistic regression method: A study from Southern Western Ghats, India. Remote Sensing Applications Society and Environment. 20. 100411–100411. 45 indexed citations
19.
Achu, A. L., et al.. (2018). Role of Geographic Information System in Assessing Determinants of Cardiovascular Disease: An Experience From a Low- and Middle-Income Country. Asia Pacific Journal of Public Health. 30(4). 351–360. 4 indexed citations
20.
Reghunath, Rajesh, et al.. (2018). Contamination of Household Open Wells in an Urban Area of Trivandrum, Kerala State, India: A Spatial Analysis of Health Risk Using Geographic Information System. Environmental Health Insights. 12. 998471276–998471276. 19 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026