Jitendra Khatti

1.2k total citations
54 papers, 844 citations indexed

About

Jitendra Khatti is a scholar working on Civil and Structural Engineering, Mechanical Engineering and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Jitendra Khatti has authored 54 papers receiving a total of 844 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Civil and Structural Engineering, 15 papers in Mechanical Engineering and 14 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Jitendra Khatti's work include Mineral Processing and Grinding (14 papers), Soil and Unsaturated Flow (14 papers) and Geotechnical Engineering and Analysis (12 papers). Jitendra Khatti is often cited by papers focused on Mineral Processing and Grinding (14 papers), Soil and Unsaturated Flow (14 papers) and Geotechnical Engineering and Analysis (12 papers). Jitendra Khatti collaborates with scholars based in India, Japan and Ethiopia. Jitendra Khatti's co-authors include Kamaldeep Singh Grover, Yewuhalashet Fissha, Hajime Ikeda, Shahab Hosseini, Hyeong-Joo Kim, Pijush Samui, Milkias Berhanu Tuka, Mujahid Ali, Mukesh Pushkarna and Manish Kumar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Construction and Building Materials.

In The Last Decade

Jitendra Khatti

44 papers receiving 823 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jitendra Khatti India 19 604 259 186 175 100 54 844
Kamaldeep Singh Grover India 19 556 0.9× 244 0.9× 171 0.9× 159 0.9× 92 0.9× 36 773
Hawkar Hashim Ibrahim Iraq 20 798 1.3× 250 1.0× 197 1.1× 340 1.9× 246 2.5× 47 1.2k
Harnedi Maizir Indonesia 8 594 1.0× 260 1.0× 121 0.7× 120 0.7× 101 1.0× 38 777
Yin-Fu Jin Hong Kong 18 964 1.6× 458 1.8× 103 0.6× 250 1.4× 112 1.1× 25 1.2k
Anna Mamou Greece 12 464 0.8× 143 0.6× 154 0.8× 228 1.3× 141 1.4× 20 673
Chunyi Cui China 19 1.3k 2.1× 153 0.6× 98 0.5× 169 1.0× 55 0.6× 88 1.5k
Muhammad Nouman Amjad Raja Pakistan 15 571 0.9× 297 1.1× 99 0.5× 55 0.3× 35 0.3× 19 684
Xinhua Xue China 19 562 0.9× 234 0.9× 97 0.5× 218 1.2× 73 0.7× 67 937
Arindam Dey India 17 795 1.3× 314 1.2× 63 0.3× 105 0.6× 73 0.7× 92 1.0k
Xiuzhi Shi China 14 561 0.9× 203 0.8× 209 1.1× 458 2.6× 117 1.2× 31 896

Countries citing papers authored by Jitendra Khatti

Since Specialization
Citations

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

Fields of papers citing papers by Jitendra Khatti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jitendra Khatti

This figure shows the co-authorship network connecting the top 25 collaborators of Jitendra Khatti. A scholar is included among the top collaborators of Jitendra Khatti 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 Jitendra Khatti. Jitendra Khatti 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.
Khatti, Jitendra, et al.. (2026). Computational Aspects in Estimating the Bearing Capacity of RC Piles Using Hybrid Machine Learning Models. Transportation Infrastructure Geotechnology. 13(1).
4.
Khatti, Jitendra, et al.. (2025). Dimensionality analysis in assessing the unconfined strength of lime-treated soil using machine learning approaches. Earth Science Informatics. 18(2). 12 indexed citations
6.
Khatti, Jitendra, et al.. (2025). Optimizing blast-induced vibration predictions using hybrid ANN: A study in Dongri-Buzurg mine. Journal of Applied Geophysics. 241. 105867–105867. 2 indexed citations
7.
Khatti, Jitendra, Panagiotis G. Asteris, & Abidhan Bardhan. (2025). Data proportionality and its impact on machine learning predictions of ground granulated blast furnace slag concrete strength. Frontiers of Structural and Civil Engineering. 19(8). 1305–1333.
8.
Antille, Diógenes L., et al.. (2025). Assessment of off-road agricultural traction in situ using large scale machine learning and neurocomputing models. Scientific Reports. 15(1). 33098–33098.
9.
Khatti, Jitendra, et al.. (2024). Assessment of short and long-term pozzolanic activity of natural pozzolans using machine learning approaches. Structures. 68. 107159–107159. 18 indexed citations
10.
Grover, Kamaldeep Singh, et al.. (2024). Mineralogical Analysis of Copper Slag Treated Expansive Soil Using X-Ray Diffraction. Journal of The Institution of Engineers (India) Series A.
11.
Khatti, Jitendra, et al.. (2024). Effect of multicollinearity in assessing the compaction and strength parameters of lime-treated expansive soil using artificial intelligence techniques. Multiscale and Multidisciplinary Modeling Experiments and Design. 8(1). 8 indexed citations
12.
Abbas, Naeem, Kegang Li, Yewuhalashet Fissha, et al.. (2024). Stress-deformation and stability challenges in Himalayan tunnels: impact of geological discontinuities. SHILAP Revista de lepidopterología. 4(1). 5 indexed citations
13.
Ghrici, Mohamed, et al.. (2024). Assessment of Unconfined Compressive Strength of Stabilized Soil Using Artificial Intelligence Tools: A Scientometrics Review. Studies in systems, decision and control. 271–288. 7 indexed citations
15.
Khatti, Jitendra, Yewuhalashet Fissha, Kamaldeep Singh Grover, et al.. (2024). Cone penetration test-based assessment of liquefaction potential using machine and hybrid learning approaches. Multiscale and Multidisciplinary Modeling Experiments and Design. 7(4). 3841–3864. 7 indexed citations
16.
Khatti, Jitendra & Kamaldeep Singh Grover. (2024). Assessment of Uniaxial Strength of Rocks: A Critical Comparison Between Evolutionary and Swarm Optimized Relevance Vector Machine Models. Transportation Infrastructure Geotechnology. 11(6). 4098–4141. 18 indexed citations
17.
Khatti, Jitendra & Kamaldeep Singh Grover. (2024). Prediction of Uniaxial Strength of Rocks Using Relevance Vector Machine Improved with Dual Kernels and Metaheuristic Algorithms. Rock Mechanics and Rock Engineering. 57(8). 6227–6258. 25 indexed citations
18.
Hosseini, Shahab, Jitendra Khatti, Yewuhalashet Fissha, et al.. (2023). Assessment of the ground vibration during blasting in mining projects using different computational approaches. Scientific Reports. 13(1). 18582–18582. 67 indexed citations
19.
Khatti, Jitendra & Kamaldeep Singh Grover. (2023). Prediction of compaction parameters of compacted soil using LSSVM, LSTM, LSBoostRF, and ANN. Innovative Infrastructure Solutions. 8(2). 40 indexed citations
20.
Khatti, Jitendra & Kamaldeep Singh Grover. (2023). A Scientometrics Review of Soil Properties Prediction Using Soft Computing Approaches. Archives of Computational Methods in Engineering. 31(3). 1519–1553. 21 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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