T. Pradeep

454 total citations
28 papers, 311 citations indexed

About

T. Pradeep is a scholar working on Civil and Structural Engineering, Environmental Engineering and Mechanics of Materials. According to data from OpenAlex, T. Pradeep has authored 28 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Civil and Structural Engineering, 7 papers in Environmental Engineering and 5 papers in Mechanics of Materials. Recurrent topics in T. Pradeep's work include Structural Behavior of Reinforced Concrete (5 papers), Rock Mechanics and Modeling (4 papers) and Dam Engineering and Safety (4 papers). T. Pradeep is often cited by papers focused on Structural Behavior of Reinforced Concrete (5 papers), Rock Mechanics and Modeling (4 papers) and Dam Engineering and Safety (4 papers). T. Pradeep collaborates with scholars based in India, Ethiopia and Australia. T. Pradeep's co-authors include Pijush Samui, Abidhan Bardhan, S. Anandakumar, Sampathkumar Velusamy, Avijit Burman, Pijush Samui, Manoj Shanmugamoorthy, Navid Kardani, L. Elango and Danial Jahed Armaghani and has published in prestigious journals such as Environmental Science and Pollution Research, Urban Climate and Journal of Nanomaterials.

In The Last Decade

T. Pradeep

25 papers receiving 300 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
T. Pradeep India	12	125	66	55	45	36	28	311
Zhihao He China	7	80 0.6×	46 0.7×	64 1.2×	26 0.6×	45 1.3×	37	249
Nan Yao China	12	221 1.8×	34 0.5×	46 0.8×	22 0.5×	138 3.8×	37	435
Mambou Ngueyep Luc Leroy Cameroon	11	132 1.1×	30 0.5×	34 0.6×	23 0.5×	93 2.6×	49	305
Wojciech Sas Poland	14	446 3.6×	36 0.5×	21 0.4×	49 1.1×	33 0.9×	90	618
Myounghak Oh South Korea	9	147 1.2×	42 0.6×	76 1.4×	13 0.3×	17 0.5×	46	401
Yufei Zhao China	13	177 1.4×	23 0.3×	14 0.3×	74 1.6×	103 2.9×	35	378
Serhan Özdemir Türkiye	7	141 1.1×	72 1.1×	74 1.3×	17 0.4×	15 0.4×	20	394
Dongtao Wu China	10	50 0.4×	15 0.2×	38 0.7×	17 0.4×	69 1.9×	19	311
Karan Singh India	9	144 1.2×	135 2.0×	117 2.1×	11 0.2×	6 0.2×	20	383

Countries citing papers authored by T. Pradeep

Since Specialization

Citations

This map shows the geographic impact of T. Pradeep'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 T. Pradeep with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Pradeep more than expected).

Fields of papers citing papers by T. Pradeep

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Pradeep

This figure shows the co-authorship network connecting the top 25 collaborators of T. Pradeep. A scholar is included among the top collaborators of T. Pradeep 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 T. Pradeep. T. Pradeep 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

Pradeep, T., et al.. (2024). A Principal Component-Enhanced Neural Network Framework for Forecasting Blast-Induced Ground Vibrations. 2(4). 206–219. 2 indexed citations

Pradeep, T.. (2024). Labour Law in the Era of Artificial Intelligence and Automation. International Journal For Multidisciplinary Research. 6(2). 1 indexed citations

Pradeep, T., et al.. (2024). Assessment of groundwater quality in Perundurai region of south India using water quality index and statistical modelling. Groundwater for Sustainable Development. 25. 101104–101104. 15 indexed citations

Pradeep, T., et al.. (2024). Evaluation of groundwater quality for irrigation purposes in hard rock terrain of Southern India using water quality indices modelling. Desalination and Water Treatment. 318. 100397–100397. 12 indexed citations

Pradeep, T., et al.. (2024). Prediction of Back Break Using Sensitivity Analysis and Artificial Neural Networks. Journal of The Institution of Engineers (India) Series D. 106(1). 383–398. 1 indexed citations

Srinivasan, R., et al.. (2023). Investigation on the mechanical properties of micro-sized B4C particles reinforced with FSW of aluminium alloy composites. Materials Today Proceedings. 1 indexed citations

Pradeep, T., et al.. (2023). ANN- PSO modelling for predicting buckling of self-compacting concrete column containing RHA properties. Matéria (Rio de Janeiro). 28(2). 5 indexed citations

Sudharsan, N., et al.. (2022). Study on Performance of Infilled Wall in an RC-Framed Structure Using a Reinforcing Band. Advances in Materials Science and Engineering. 2022. 1–8. 2 indexed citations

Velusamy, Sampathkumar, S. Anandakumar, Manoj Shanmugamoorthy, & T. Pradeep. (2022). Characterization of solid biomass briquette biofuel from the wastes of Senna auriculata and Ricinus communis using Tapioca starch for sustainable environment. Environmental Science and Pollution Research. 30(4). 10110–10127. 9 indexed citations

10.

Velusamy, Sampathkumar, et al.. (2022). An integration of soil characteristics by using GIS based Geostatistics and multivariate statistics analysis Sultan Batheri block, Wayanad District, India. Urban Climate. 46. 101339–101339. 22 indexed citations

11.

Pradeep, T. & Pijush Samui. (2022). Prediction of Rock Strain Using Hybrid Approach of Ann and Optimization Algorithms. Geotechnical and Geological Engineering. 40(9). 4617–4643. 31 indexed citations

12.

Pradeep, T., Pijush Samui, Navid Kardani, & Panagiotis G. Asteris. (2022). Ensemble unit and AI techniques for prediction of rock strain. Frontiers of Structural and Civil Engineering. 16(7). 858–870. 16 indexed citations

13.

Anandakumar, S., et al.. (2022). Enhanced Biodegradation of Battery-Contaminated Soil Using Bacillus sp. (MZ959824) and Its Phytotoxicity Study. Advances in Materials Science and Engineering. 2022. 1–7. 5 indexed citations

14.

Kardani, Navid, T. Pradeep, Pijush Samui, Dookie Kim, & Annan Zhou. (2021). Smart phase behavior modeling of asphaltene precipitation using advanced computational frameworks: ENN, GMDH, and MPMR. Petroleum Science and Technology. 39(19-20). 804–825. 15 indexed citations

15.

Pradeep, T., Abidhan Bardhan, Avijit Burman, & Pijush Samui. (2021). Rock Strain Prediction Using Deep Neural Network and Hybrid Models of ANFIS and Meta-Heuristic Optimization Algorithms. Infrastructures. 6(9). 129–129. 35 indexed citations

16.

Pradeep, T., Abidhan Bardhan, & Pijush Samui. (2021). Prediction of rock strain using soft computing framework. Innovative Infrastructure Solutions. 7(1). 19 indexed citations

17.

Lakshmi, M., et al.. (2019). Machine Learning Techniques for Rainfall Prediction Using Neural Network. Journal of Computational and Theoretical Nanoscience. 16(8). 3319–3323. 6 indexed citations

18.

Anandakumar, S., et al.. (2019). Application of geospatial techniques in delineating groundwater potential zones: a case study from South India. Arabian Journal of Geosciences. 12(5). 27 indexed citations

19.

Pradeep, T., et al.. (2018). Effective Cross Section of Cold Formed Steel Column Under Axial Compression. Journal of The Institution of Engineers (India) Series A. 99(2). 245–255. 3 indexed citations

20.

Pradeep, T., et al.. (2016). Effect of Lateral Bracing on Resistance of Intermediate Thin-Walled Open Column. Arabian Journal for Science and Engineering. 42(3). 1243–1250. 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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