Manoj Khandelwal

8.5k total citations · 5 hit papers
168 papers, 6.9k citations indexed

About

Manoj Khandelwal is a scholar working on Mechanics of Materials, Civil and Structural Engineering and Mechanical Engineering. According to data from OpenAlex, Manoj Khandelwal has authored 168 papers receiving a total of 6.9k indexed citations (citations by other indexed papers that have themselves been cited), including 97 papers in Mechanics of Materials, 86 papers in Civil and Structural Engineering and 74 papers in Mechanical Engineering. Recurrent topics in Manoj Khandelwal's work include Rock Mechanics and Modeling (94 papers), Mineral Processing and Grinding (64 papers) and Tunneling and Rock Mechanics (44 papers). Manoj Khandelwal is often cited by papers focused on Rock Mechanics and Modeling (94 papers), Mineral Processing and Grinding (64 papers) and Tunneling and Rock Mechanics (44 papers). Manoj Khandelwal collaborates with scholars based in Australia, India and China. Manoj Khandelwal's co-authors include Masoud Monjezi, Rajesh Singh, Jian Zhou, Danial Jahed Armaghani, T. N. Singh, Yingui Qiu, T. N. Singh, P.G. Ranjith, Mahdi Hasanipanah and Pavan Kumar Kankar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Construction and Building Materials and IEEE Access.

In The Last Decade

Manoj Khandelwal

155 papers receiving 6.7k citations

Hit Papers

Prediction of blast-induced ground vibration using artifi... 2009 2026 2014 2020 2009 2021 2020 2021 2024 100 200 300
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. Prediction of blast-induced ground vibration using artificial neural network
    2009 369 citations Manoj Khandelwal et al. International Journal of Rock Mechanics and Mining Sciences profile →
  2. Performance evaluation of hybrid WOA-XGBoost, GWO-XGBoost and BO-XGBoost models to predict blast-induced ground vibration
    2021 335 citations Jian Zhou, Manoj Khandelwal et al. profile →
  3. Estimation of the TBM advance rate under hard rock conditions using XGBoost and Bayesian optimization
    2020 203 citations Jian Zhou, Danial Jahed Armaghani et al. profile →
  4. Developing a hybrid model of Jaya algorithm-based extreme gradient boosting machine to estimate blast-induced ground vibrations
    2021 148 citations Jian Zhou, Manoj Khandelwal et al. International Journal of Rock Mechanics and Mining Sciences profile →
  5. Advancing toward sustainability: The emergence of green mining technologies and practices
    2024 61 citations Moshood Onifade, T. Zvarivadza et al. KTH Publication Database DiVA (KTH Royal Institute of Technology) profile →

Peers

Manoj Khandelwal
Edy Tonnizam Mohamad Malaysia
Masoud Monjezi Iran
Mahdi Hasanipanah Iran
Hoang Nguyen Vietnam
Hani S. Mitri Canada
Zhiye Zhao Singapore
T. N. Singh India
Hongwei Huang China
Manchao He China
Hehua Zhu China
Edy Tonnizam Mohamad Malaysia
Manoj Khandelwal
Citations per year, relative to Manoj Khandelwal Manoj Khandelwal (= 1×) peers Edy Tonnizam Mohamad

Countries citing papers authored by Manoj Khandelwal

Since Specialization
Citations

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

Fields of papers citing papers by Manoj Khandelwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manoj Khandelwal

This figure shows the co-authorship network connecting the top 25 collaborators of Manoj Khandelwal. A scholar is included among the top collaborators of Manoj Khandelwal 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 Manoj Khandelwal. Manoj Khandelwal 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
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Shi, Yongyong, et al.. (2025). Advanced Machine Learning and Gene Expression Programming Techniques for Predicting CO<sub>2</sub>-Induced Alterations in Coal Strength. Computer Modeling in Engineering & Sciences. 143(1). 153–183. 1 indexed citations
3.
Lawal, Abiodun Ismail, T. Zvarivadza, Moshood Onifade, François K. Mulenga, & Manoj Khandelwal. (2025). Optimising tunnel support design with machine learning models. Environmental Earth Sciences. 84(21).
4.
Zvarivadza, T., et al.. (2025). Deep learning-powered rock mass classification: Predicting RMR from Q-system parameters with high accuracy. KTH Publication Database DiVA (KTH Royal Institute of Technology). 4(4). 100219–100219. 1 indexed citations
5.
Lawal, Abiodun Ismail, et al.. (2025). Optimized Slope Stability Assessment Using an Intuitionistic Fuzzy MCDM Approach for LEM Model Selection. Geotechnical and Geological Engineering. 43(5). 2 indexed citations
6.
Zvarivadza, T., et al.. (2025). Geological and geotechnical challenges on the Great Dyke of Zimbabwe and their impact on hardrock pillar design. KTH Publication Database DiVA (KTH Royal Institute of Technology). 4 indexed citations
7.
Zhou, Jian, et al.. (2025). Interpretable Machine Learning for Predicting Cutting Force of Tunnel Boring Machine: A Study on SVR With Meta‐Heuristic Optimization. International Journal for Numerical and Analytical Methods in Geomechanics. 49(18). 4412–4435.
8.
Zvarivadza, T., et al.. (2025). Hybrid pillar stress analysis: Integrating numerical modelling, machine learning, and geostatistics for improved stability in hardrock mining. KTH Publication Database DiVA (KTH Royal Institute of Technology). 3. 100129–100129.
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Dey, Ashim Kanti, et al.. (2024). Advanced predictive modelling of electrical resistivity for geotechnical and geo-environmental applications using machine learning techniques. Journal of Applied Geophysics. 231. 105557–105557. 6 indexed citations
11.
Yari, Mojtaba, et al.. (2024). Applications of Soft Computing Methods in Backbreak Assessment in Surface Mines: A Comprehensive Review. Computer Modeling in Engineering & Sciences. 140(3). 2207–2238. 1 indexed citations
12.
Wang, Zhenyu, Jian Zhou, Kun Du, & Manoj Khandelwal. (2024). Enhanced multi-task learning models for pile drivability prediction: Leveraging metaheuristic algorithms and statistical evaluation. Transportation Geotechnics. 47. 101288–101288. 6 indexed citations
13.
Haeri, Hadi, et al.. (2024). Surgical face masks as reinforcement to improve the tensile mode fracture toughness of reinforced concrete under three-point bending tests. Engineering Fracture Mechanics. 314. 110741–110741. 1 indexed citations
14.
Khandelwal, Manoj, et al.. (2024). Impact of Velocity of Detonation and Charge per Bank Cubic Meters on Flyrock Throw Prediction Using Support Vector Machine. Mining Metallurgy & Exploration. 41(2). 607–618. 2 indexed citations
15.
Khandelwal, Manoj, et al.. (2023). Quantifying the cohesive strength of rock materials by roughness analysis using a domain based multifractal framework. International Journal of Rock Mechanics and Mining Sciences. 170. 105492–105492. 4 indexed citations
16.
Hosseini, Mostafa, et al.. (2023). Sensitivity analysis on blast design parameters to improve bench blasting outcomes using the Taguchi method. Geomechanics and Geophysics for Geo-Energy and Geo-Resources. 9(1). 14 indexed citations
17.
Natarajan, Sundararajan, Greg You, Manoj Khandelwal, et al.. (2023). Adaptive phase-field modelling of fracture propagation in poroelastic media using the scaled boundary finite element method. Computer Methods in Applied Mechanics and Engineering. 411. 116056–116056. 27 indexed citations
18.
Chakraborty, Ayon, et al.. (2023). The Lithium-Ion Battery Recycling Process from a Circular Economy Perspective—A Review and Future Directions. Energies. 16(7). 3228–3228. 34 indexed citations
19.
Khandelwal, Manoj, et al.. (2022). Mineral Texture Identification Using Local Binary Patterns Equipped with a Classification and Recognition Updating System (CARUS). Sustainability. 14(18). 11291–11291. 4 indexed citations
20.
Khandelwal, Manoj & T. N. Singh. (2005). Prediction of mine water quality by physical parameters. Journal of Scientific & Industrial Research. 64(8). 564–570. 18 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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