R. S. Ajin

972 total citations
27 papers, 673 citations indexed

About

R. S. Ajin is a scholar working on Global and Planetary Change, Management, Monitoring, Policy and Law and Environmental Engineering. According to data from OpenAlex, R. S. Ajin has authored 27 papers receiving a total of 673 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Global and Planetary Change, 15 papers in Management, Monitoring, Policy and Law and 6 papers in Environmental Engineering. Recurrent topics in R. S. Ajin's work include Flood Risk Assessment and Management (21 papers), Landslides and related hazards (13 papers) and Fire effects on ecosystems (10 papers). R. S. Ajin is often cited by papers focused on Flood Risk Assessment and Management (21 papers), Landslides and related hazards (13 papers) and Fire effects on ecosystems (10 papers). R. S. Ajin collaborates with scholars based in India, Ivory Coast and Romania. R. S. Ajin's co-authors include Jean Homian Danumah, Sekhar L. Kuriakose, A. Rajaneesh, Sunil Saha, Pratheesh C. Mammen, Romulus Costache, K.S. Sajinkumar, Riccardo Fanti, Alireza Arabameri and Samuele Segoni and has published in prestigious journals such as The Science of The Total Environment, Scientific Reports and Journal of Hydrology.

In The Last Decade

R. S. Ajin

25 papers receiving 658 citations

Peers

Countries citing papers authored by R. S. Ajin

Since Specialization

Citations

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

Fields of papers citing papers by R. S. Ajin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. S. Ajin. 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 R. S. Ajin. The network helps show where R. S. Ajin may publish in the future.

Co-authorship network of co-authors of R. S. Ajin

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Flood Susceptibility Assessment Using Multi-Tier Feature Selection and Ensemble Boosting Machine Learning Models 2025 ·Water ·R. S. Ajin, Romulus Costache, Alina Bărbulescu, Riccardo Fanti, Samuele Segoni	2
2	Understanding the spatial patterns of major geo-hydrological disasters in Italy using the CatBoost algorithm 2025 ·The Science of The Total Environment ·Samuele Segoni, (unknown), R. S. Ajin, (unknown), Riccardo Fanti	0
3	Flood risk mapping in an urbanized tropical river basin in India using MCDA-AHP: a post-storm event evaluation 2025 ·Digital Commons - Michigan Tech (Michigan Technological University) ·R. S. Ajin, (unknown), (unknown), Romulus Costache, (unknown), A. Rajaneesh, K.S. Sajinkumar	1
4	Comparative Flood Risk Mapping Using Knowledge-Driven, Data-Driven, and Ensemble Models in a Humid Tropical River Basin in India 2025 ·Water Conservation Science and Engineering ·(unknown), R. S. Ajin, (unknown), A. Rajaneesh, (unknown), K.S. Sajinkumar	0
5	Optimization of SVR and CatBoost models using metaheuristic algorithms to assess landslide susceptibility 2024 ·Scientific Reports ·R. S. Ajin, Samuele Segoni, Riccardo Fanti	26
6	Insights Gained from the Review of Landslide Susceptibility Assessment Studies in Italy 2024 ·Remote Sensing ·Samuele Segoni, R. S. Ajin, (unknown), Riccardo Fanti	11
7	Enhancing the Performance of Machine Learning and Deep Learning-Based Flood Susceptibility Models by Integrating Grey Wolf Optimizer (GWO) Algorithm 2024 ·Remote Sensing ·(unknown), R. S. Ajin, Seyed Vahid Razavi-Termeh, Mohammad Ahmadlou, A’kif Al-Fugara	22
8	Vulnerability evaluation utilizing AHP and an ensemble model in a few landslide-prone areas of the Western Ghats, India 2023 ·Environment Development and Sustainability ·(unknown), (unknown), (unknown), Jean Homian Danumah, Sunil Saha, K.S. Sajinkumar, A. Rajaneesh, (unknown), Pratheesh C. Mammen, R. S. Ajin	18
9	Landslide Susceptibility Assessment of a Part of the Western Ghats (India) Employing the AHP and F-AHP Models and Comparison with Existing Susceptibility Maps 2023 ·Land ·(unknown), (unknown), S. Balaji, Jean Homian Danumah, Romulus Costache, A. Rajaneesh, (unknown), (unknown), Renata Pacheco Quevedo, (unknown), K.S. Sajinkumar, Sunil Saha, R. S. Ajin, Pratheesh C. Mammen, Kamal Abdelrahman, Mohammed S. Fnais, Mohamed Abioui	44
10	Wildfire Risk Zone Mapping in Contrasting Climatic Conditions: An Approach Employing AHP and F-AHP Models 2023 ·Fire ·(unknown), (unknown), R. S. Ajin, Jean Homian Danumah, Sunil Saha, Romulus Costache, A. Rajaneesh, K.S. Sajinkumar, (unknown), (unknown), (unknown), Pratheesh C. Mammen, Kamal Abdelrahman, Mohammed S. Fnais, Mohamed Abioui	38
11	Prediction capability of the MCDA-AHP model in wildfire risk zonation of a protected area in the Southern Western Ghats 2023 ·Environmental Sustainability ·(unknown), (unknown), Jean Homian Danumah, (unknown), (unknown), Sunil Saha, Pratheesh C. Mammen, R. S. Ajin	16
12	Furthering the precision of RUSLE soil erosion with PSInSAR data: an innovative model 2022 ·Geocarto International ·(unknown), K.S. Sajinkumar, A. Rajaneesh, Thomas Oommen, (unknown), (unknown), V. R. Rani, Jobin Thomas, K. P. Thrivikramji, R. S. Ajin, Mohamed Abioui	34
13	Dengue risk zone mapping of Thiruvananthapuram district, India: a comparison of the AHP and F-AHP methods 2022 ·GeoJournal ·(unknown), T S Anish, A. Rajaneesh, (unknown), (unknown), Pratheesh C. Mammen, R. S. Ajin, Sekhar L. Kuriakose	13
14	Flood vulnerability of a few areas in the foothills of the Western Ghats: a comparison of AHP and F-AHP models 2022 ·Stochastic Environmental Research and Risk Assessment ·(unknown), R. S. Ajin, Jean Homian Danumah, Romulus Costache, Alireza Arabameri, A. Rajaneesh, K.S. Sajinkumar, Sekhar L. Kuriakose	48
15	Enhancing the Accuracy of the REPTree by Integrating the Hybrid Ensemble Meta-Classifiers for Modelling the Landslide Susceptibility of Idukki District, South-western India 2022 ·Journal of the Indian Society of Remote Sensing ·R. S. Ajin, Sunil Saha, Anik Saha, (unknown), Romulus Costache, Sekhar L. Kuriakose	30
16	Demarcation of Forest Fire Risk Zones in Silent Valley National Park and the Effectiveness of Forest Management Regime 2022 ·Journal of Geovisualization and Spatial Analysis ·(unknown), Jean Homian Danumah, (unknown), Sunil Saha, A. Rajaneesh, Pratheesh C. Mammen, R. S. Ajin, Sekhar L. Kuriakose	21
17	Correction to: Application of GIS and AHP Method in Forest Fire Risk Zone Mapping: a Study of the Parambikulam Tiger Reserve, Kerala, India 2021 ·Journal of Geovisualization and Spatial Analysis ·(unknown), Jean Homian Danumah, Sunil Saha, (unknown), A. Rajaneesh, Pratheesh C. Mammen, R. S. Ajin, Sekhar L. Kuriakose	4
18	The risk analysis of potential forest fires in a wildlife sanctuary in the western ghats (Southwest Indian Peninsula) using geospatial techniques 2017 ·R. S. Ajin, (unknown), (unknown), (unknown)	3
19	Forest Fire Risk Zone Mapping Using RS and GIS Techniques: A Study in Achankovil Forest Division, Kerala, India 2016 ·R. S. Ajin, (unknown), (unknown), (unknown)	27
20	Flood hazard assessment of Vamanapuram River basin, Kerala, India: an approach using remote sensing & GIS techniques. 2013 ·Advances in Applied Science Research ·R. S. Ajin, R. R. Krishnamurthy, M. Jayaprakash, (unknown)	30

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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