Divesh Ranjan Kumar

1.0k total citations
54 papers, 692 citations indexed

About

Divesh Ranjan Kumar is a scholar working on Civil and Structural Engineering, Safety, Risk, Reliability and Quality and Mechanics of Materials. According to data from OpenAlex, Divesh Ranjan Kumar has authored 54 papers receiving a total of 692 indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Civil and Structural Engineering, 25 papers in Safety, Risk, Reliability and Quality and 7 papers in Mechanics of Materials. Recurrent topics in Divesh Ranjan Kumar's work include Geotechnical Engineering and Analysis (24 papers), Geotechnical Engineering and Underground Structures (23 papers) and Dam Engineering and Safety (11 papers). Divesh Ranjan Kumar is often cited by papers focused on Geotechnical Engineering and Analysis (24 papers), Geotechnical Engineering and Underground Structures (23 papers) and Dam Engineering and Safety (11 papers). Divesh Ranjan Kumar collaborates with scholars based in Thailand, India and Australia. Divesh Ranjan Kumar's co-authors include Pijush Samui, Warit Wipulanusat, Suraparb Keawsawasvong, Avijit Burman, Pitthaya Jamsawang, Manish Kumar, Pijush Samui, Ajay Kumar, Rahul Biswas and Kamaldeep Singh Grover and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Construction and Building Materials.

In The Last Decade

Divesh Ranjan Kumar

48 papers receiving 655 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Divesh Ranjan Kumar Thailand 18 568 270 89 68 59 54 692
Gong Xiao-nan China 17 769 1.4× 329 1.2× 140 1.6× 86 1.3× 89 1.5× 75 980
Sunita Kumari India 15 380 0.7× 188 0.7× 38 0.4× 66 1.0× 29 0.5× 47 540
Hani H. Titi United States 16 692 1.2× 177 0.7× 93 1.0× 23 0.3× 26 0.4× 70 753
Ahmad Mahboubi Iran 15 580 1.0× 111 0.4× 49 0.6× 102 1.5× 88 1.5× 35 672
Zhibin Sun China 15 424 0.7× 367 1.4× 51 0.6× 166 2.4× 165 2.8× 47 561
Leena Korkiala-Tanttu Finland 17 537 0.9× 95 0.4× 82 0.9× 50 0.7× 35 0.6× 75 623
Afshin Kordnaeij Iran 16 507 0.9× 122 0.5× 35 0.4× 28 0.4× 36 0.6× 25 562
Juntao Chen China 11 655 1.2× 325 1.2× 59 0.7× 16 0.2× 47 0.8× 12 761
Tugen Feng China 14 460 0.8× 296 1.1× 31 0.3× 87 1.3× 65 1.1× 51 538
Hadi Hasanzadehshooiili Iran 13 442 0.8× 150 0.6× 36 0.4× 38 0.6× 103 1.7× 23 504

Countries citing papers authored by Divesh Ranjan Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Divesh Ranjan Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Divesh Ranjan Kumar. 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 Divesh Ranjan Kumar. The network helps show where Divesh Ranjan Kumar may publish in the future.

Co-authorship network of co-authors of Divesh Ranjan Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Divesh Ranjan Kumar. A scholar is included among the top collaborators of Divesh Ranjan Kumar 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 Divesh Ranjan Kumar. Divesh Ranjan Kumar 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
4.
Kumar, Divesh Ranjan, et al.. (2025). Optimized machine learning models for predicting the tensile strength of high-performance concrete. Journal of Structural Integrity and Maintenance. 10(1). 5 indexed citations
5.
Kumar, Divesh Ranjan, et al.. (2025). A novel approach to analyzing the 3D slope of Mount St. Helens via soft computing techniques. Earth Science Informatics. 18(2). 2 indexed citations
6.
Kumar, Divesh Ranjan, et al.. (2025). Machine learning approach for optimizing pesticide degradation in wastewater using a hybrid approach with ozone treatment and biological degradation. SHILAP Revista de lepidopterología. 4(1). 100254–100254.
7.
Kumar, Divesh Ranjan, et al.. (2025). Prediction of the limiting uniform normal pressure in deep contiguous piled walls using soft computing techniques. Advances in Engineering Software. 209. 103993–103993. 1 indexed citations
8.
Kumar, Divesh Ranjan, et al.. (2025). Experimental and machine learning-based estimation of the thermal diffusivity of high-plastic soil. Geothermics. 134. 103489–103489.
9.
Kumar, Divesh Ranjan, et al.. (2024). Novel neural network-based metaheuristic models for the stability prediction of rectangular trapdoors in anisotropic and non-homogeneous clay. Advances in Engineering Software. 193. 103668–103668. 16 indexed citations
10.
Shiau, Jim, et al.. (2024). Optimization of ANN using metaheuristic algorithms for predicting failure envelope of ring foundations on anisotropic clay. Applied Ocean Research. 154. 104375–104375. 5 indexed citations
11.
Kumar, Rakesh, Divesh Ranjan Kumar, Warit Wipulanusat, et al.. (2024). Estimation of the compressive strength of ultrahigh performance concrete using machine learning models. Intelligent Systems with Applications. 25. 200471–200471. 19 indexed citations
12.
Kumar, Divesh Ranjan, et al.. (2024). Development of ANN-based metaheuristic models for the study of the durability characteristics of high-volume fly ash self-compacting concrete with silica fume. Journal of Building Engineering. 94. 109844–109844. 33 indexed citations
13.
Kumar, Divesh Ranjan, et al.. (2024). Machine Learning Approaches for the Prediction of the Seismic Stability of Unsupported Rectangular Excavation. Engineered Science. 12 indexed citations
14.
Kumar, Divesh Ranjan, et al.. (2024). Hybrid artificial neural network models for bearing capacity evaluation of a strip footing on sand based on Bolton failure criterion. Transportation Geotechnics. 48. 101347–101347. 16 indexed citations
15.
16.
Kumar, Divesh Ranjan, et al.. (2024). Machine learning prediction of the unconfined compressive strength of controlled low strength material using fly ash and pond ash. Scientific Reports. 14(1). 27540–27540. 12 indexed citations
17.
Kumar, Manish, Divesh Ranjan Kumar, & Warit Wipulanusat. (2024). Reliability-Based Design for Strip-Footing Subjected to Inclined Loading Using Hybrid LSSVM ML Models. Geotechnical and Geological Engineering. 42(8). 7677–7697. 9 indexed citations
18.
Kumar, Divesh Ranjan, et al.. (2023). Bearing Capacity of Eccentrically Loaded Footings on Rock Masses Using Soft Computing Techniques. Engineered Science. 15 indexed citations
19.
Kumar, Divesh Ranjan, et al.. (2023). Soft Computing Techniques for Predicting Penetration and Uplift Resistances of Dual Pipelines in Cohesive Soils. Engineered Science. 22 indexed citations
20.
Kumar, Ajay, et al.. (2023). Buckling response of CNT based hybrid FG plates using finite element method and machine learning method. Composite Structures. 319. 117204–117204. 34 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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