Indra Prakash

11.0k total citations · 8 hit papers
124 papers, 8.8k citations indexed

About

Indra Prakash is a scholar working on Global and Planetary Change, Management, Monitoring, Policy and Law and Civil and Structural Engineering. According to data from OpenAlex, Indra Prakash has authored 124 papers receiving a total of 8.8k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Global and Planetary Change, 58 papers in Management, Monitoring, Policy and Law and 35 papers in Civil and Structural Engineering. Recurrent topics in Indra Prakash's work include Landslides and related hazards (57 papers), Flood Risk Assessment and Management (55 papers) and Groundwater and Watershed Analysis (20 papers). Indra Prakash is often cited by papers focused on Landslides and related hazards (57 papers), Flood Risk Assessment and Management (55 papers) and Groundwater and Watershed Analysis (20 papers). Indra Prakash collaborates with scholars based in Vietnam, India and Iran. Indra Prakash's co-authors include Binh Thai Pham, Dieu Tien Bui, M. B. Dholakia, Hiep Van Le, Tran Van Phong, Ataollah Shirzadi, Abolfazl Jaafari, Khabat Khosravi, Hai‐Bang Ly and Himan Shahabi and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Journal of Agricultural and Food Chemistry.

In The Last Decade

Indra Prakash

116 papers receiving 8.6k citations

Hit Papers

A comparative assessment of decision trees algorithms for... 2015 2026 2018 2022 2018 2019 2016 2021 2016 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A comparative assessment of decision trees algorithms for flash flood susceptibility modeling at Haraz watershed, northern Iran
    2018 600 citations Binh Thai Pham, Kamran Chapi et al. profile →
  2. A comparative assessment of flood susceptibility modeling using Multi-Criteria Decision-Making Analysis and Machine Learning Methods
    2019 545 citations Himan Shahabi, Binh Thai Pham et al. Journal of Hydrology profile →
  3. Hybrid integration of Multilayer Perceptron Neural Networks and machine learning ensembles for landslide susceptibility assessment at Himalayan area (India) using GIS
    2016 507 citations Binh Thai Pham, Dieu Tien Bui et al. CATENA profile →
  4. Influence of Data Splitting on Performance of Machine Learning Models in Prediction of Shear Strength of Soil
    2021 429 citations Hai‐Bang Ly, Lanh Si Ho et al. Mathematical Problems in Engineering profile →
  5. A comparative study of different machine learning methods for landslide susceptibility assessment: A case study of Uttarakhand area (India)
    2016 425 citations Binh Thai Pham, Dieu Tien Bui et al. profile →
  6. Landslide susceptibility assesssment in the Uttarakhand area (India) using GIS: a comparison study of prediction capability of naïve bayes, multilayer perceptron neural networks, and functional trees methods
    2015 311 citations Binh Thai Pham, Dieu Tien Bui et al. profile →
  7. Landslide susceptibility modeling using Reduced Error Pruning Trees and different ensemble techniques: Hybrid machine learning approaches
    2018 249 citations Binh Thai Pham, Indra Prakash et al. CATENA profile →
  8. Performance Evaluation of Machine Learning Methods for Forest Fire Modeling and Prediction
    2020 192 citations Binh Thai Pham, Abolfazl Jaafari et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Indra Prakash Vietnam 49 5.2k 3.8k 2.1k 1.7k 1.3k 124 8.8k
Ataollah Shirzadi Iran 46 5.6k 1.1× 3.3k 0.9× 2.0k 1.0× 2.2k 1.3× 1.3k 1.0× 57 7.7k
Baharin Bin Ahmad Malaysia 47 4.3k 0.8× 3.2k 0.8× 1.8k 0.9× 1.4k 0.8× 1.1k 0.8× 84 6.9k
Mahdi Panahi Iran 41 4.2k 0.8× 2.6k 0.7× 2.0k 1.0× 1.7k 1.0× 1.1k 0.8× 79 6.8k
Khabat Khosravi Iran 47 5.4k 1.0× 2.4k 0.6× 3.2k 1.6× 3.3k 1.9× 1.2k 0.9× 112 8.7k
Himan Shahabi Iran 71 9.2k 1.8× 6.0k 1.6× 3.4k 1.7× 3.3k 1.9× 2.2k 1.7× 154 13.6k
Haoyuan Hong China 64 9.0k 1.7× 7.4k 2.0× 2.2k 1.1× 2.5k 1.5× 2.8k 2.1× 101 13.1k
A‐Xing Zhu China 59 4.2k 0.8× 3.4k 0.9× 4.3k 2.1× 1.7k 1.0× 1.7k 1.3× 320 11.9k
Kamran Chapi Iran 32 4.1k 0.8× 2.1k 0.6× 1.6k 0.8× 1.8k 1.0× 839 0.6× 45 5.6k
Abolfazl Jaafari Iran 43 3.6k 0.7× 2.3k 0.6× 1.3k 0.6× 955 0.6× 631 0.5× 89 5.4k

Countries citing papers authored by Indra Prakash

Since Specialization
Citations

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

Fields of papers citing papers by Indra Prakash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Indra Prakash

This figure shows the co-authorship network connecting the top 25 collaborators of Indra Prakash. A scholar is included among the top collaborators of Indra Prakash 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 Indra Prakash. Indra Prakash 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.
Le, Hiep Van, et al.. (2024). Exploring deep learning models for roadside landslide prediction: Insights and implications from comparative analysis. Physics and Chemistry of the Earth Parts A/B/C. 136. 103741–103741. 6 indexed citations
2.
Tuyen, Tran Thi, et al.. (2023). Prediction of white spot disease susceptibility in shrimps using decision trees based machine learning models. Applied Water Science. 14(1). 5 indexed citations
3.
4.
Prakash, Indra, et al.. (2021). Estimation of California Bearing Ratio of Soils Using Random Forest based Machine Learning. 48–61. 7 indexed citations
5.
Prakash, Indra, et al.. (2021). Estimation of California Bearing Ratio of Soils Using Random Forest based Machine Learning. 48–61. 3 indexed citations
6.
Hiếu, Nguyễn Minh, Tran Van Phong, Mahdis Amiri, et al.. (2021). Exploring novel hybrid soft computing models for landslide susceptibility mapping in Son La hydropower reservoir basin. Geomatics Natural Hazards and Risk. 12(1). 1688–1714. 13 indexed citations
7.
Pham, Binh Thai, Tran Van Phong, Mohammadtaghi Avand, et al.. (2020). Improving Voting Feature Intervals for Spatial Prediction of Landslides. Mathematical Problems in Engineering. 2020. 1–15. 12 indexed citations
8.
Pham, Binh Thai, Chinh Luu, Tran Van Phong, et al.. (2020). Flood risk assessment using hybrid artificial intelligence models integrated with multi-criteria decision analysis in Quang Nam Province, Vietnam. Journal of Hydrology. 592. 125815–125815. 147 indexed citations
9.
Jaafari, Abolfazl, Nadhir Al‐Ansari, Đức Anh Nguyễn, et al.. (2020). Novel Ensemble Landslide Predictive Models Based on the Hyperpipes Algorithm: A Case Study in the Nam Dam Commune, Vietnam. Applied Sciences. 10(11). 3710–3710. 45 indexed citations
10.
Pham, Binh Thai, T. Nguyen‐Thoi, Chongchong Qi, et al.. (2020). Coupling RBF neural network with ensemble learning techniques for landslide susceptibility mapping. CATENA. 195. 104805–104805. 125 indexed citations
11.
Pham, Binh Thai, Tran Van Phong, T. Nguyen‐Thoi, et al.. (2020). Ensemble modeling of landslide susceptibility using random subspace learner and different decision tree classifiers. Geocarto International. 37(3). 735–757. 76 indexed citations
12.
Pham, Binh Thai, Mohammadtaghi Avand, Saeid Janizadeh, et al.. (2020). GIS Based Hybrid Computational Approaches for Flash Flood Susceptibility Assessment. Water. 12(3). 683–683. 186 indexed citations
13.
Liêm, Ngô Văn, Nadhir Al‐Ansari, Tran Van Phong, et al.. (2019). GIS Based Novel Hybrid Computational Intelligence Models for Mapping Landslide Susceptibility: A Case Study at Da Lat City, Vietnam. Sustainability. 11(24). 7118–7118. 45 indexed citations
14.
Tuyen, Tran Thi, Ataollah Shirzadi, Binh Thai Pham, et al.. (2019). Development of a Novel Hybrid Intelligence Approach for Landslide Spatial Prediction. Applied Sciences. 9(14). 2824–2824. 57 indexed citations
15.
Janizadeh, Saeid, Mohammadtaghi Avand, Abolfazl Jaafari, et al.. (2019). Prediction Success of Machine Learning Methods for Flash Flood Susceptibility Mapping in the Tafresh Watershed, Iran. Sustainability. 11(19). 5426–5426. 216 indexed citations
16.
Phong, Tran Van, Phan Trọng Trịnh, Indra Prakash, et al.. (2019). Landslide susceptibility modeling using different artificial intelligence methods: a case study at Muong Lay district, Vietnam. Geocarto International. 36(15). 1685–1708. 77 indexed citations
17.
Pham, Binh Thai, Indra Prakash, Jie Dou, et al.. (2018). A novel hybrid approach of landslide susceptibility modelling using rotation forest ensemble and different base classifiers. Geocarto International. 35(12). 1267–1292. 149 indexed citations
18.
Pham, Binh Thai, Indra Prakash, Abolfazl Jaafari, & Dieu Tien Bui. (2018). Spatial Prediction of Rainfall-Induced Landslides Using Aggregating One-Dependence Estimators Classifier. Journal of the Indian Society of Remote Sensing. 46(9). 1457–1470. 86 indexed citations
19.
Pham, Binh Thai, Dieu Tien Bui, & Indra Prakash. (2018). Landslide susceptibility modelling using different advanced decision trees methods. Civil Engineering and Environmental Systems. 35(1-4). 139–157. 59 indexed citations
20.
Pham, Binh Thai & Indra Prakash. (2018). Application of Simple Remote Sensing Techniques for the Detection and Extraction of Coastline-A Case Study of Diu Island, India. Indian Journal of Ecology. 45(4). 778–784. 4 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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