Ashutosh Sutra Dhar

782 total citations
59 papers, 595 citations indexed

About

Ashutosh Sutra Dhar is a scholar working on Civil and Structural Engineering, Mechanical Engineering and Materials Chemistry. According to data from OpenAlex, Ashutosh Sutra Dhar has authored 59 papers receiving a total of 595 indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Civil and Structural Engineering, 26 papers in Mechanical Engineering and 16 papers in Materials Chemistry. Recurrent topics in Ashutosh Sutra Dhar's work include Geotechnical Engineering and Underground Structures (44 papers), Structural Integrity and Reliability Analysis (25 papers) and Geotechnical Engineering and Soil Mechanics (14 papers). Ashutosh Sutra Dhar is often cited by papers focused on Geotechnical Engineering and Underground Structures (44 papers), Structural Integrity and Reliability Analysis (25 papers) and Geotechnical Engineering and Soil Mechanics (14 papers). Ashutosh Sutra Dhar collaborates with scholars based in Canada, Bangladesh and Vietnam. Ashutosh Sutra Dhar's co-authors include Ian D. Moore, Hieu Chi Phan, Timothy J. McGrath, Rehan Sadiq, Guangji Hu, Rajib Dey, Bipul Hawlader, Trần Minh Tú, Erez N. Allouche and M. S. A. Siddiquee and has published in prestigious journals such as Engineering Structures, Journal of Geotechnical and Geoenvironmental Engineering and Reliability Engineering & System Safety.

In The Last Decade

Ashutosh Sutra Dhar

58 papers receiving 572 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ashutosh Sutra Dhar Canada 15 396 288 188 111 99 59 595
Jorge L. Alamilla Mexico 13 284 0.7× 259 0.9× 292 1.6× 80 0.7× 193 1.9× 42 567
Premkumar Thodi Canada 10 113 0.3× 240 0.8× 114 0.6× 73 0.7× 56 0.6× 25 435
Hieu Chi Phan Vietnam 11 190 0.5× 116 0.4× 78 0.4× 68 0.6× 36 0.4× 20 306
Junyan Han China 12 254 0.6× 94 0.3× 60 0.3× 39 0.4× 30 0.3× 29 329
Yeon Chul Ha South Korea 11 80 0.2× 209 0.7× 72 0.4× 57 0.5× 16 0.2× 27 351
Vít Křivý Czechia 12 303 0.8× 112 0.4× 170 0.9× 67 0.6× 75 0.8× 41 401
Denys Breysse France 12 257 0.6× 85 0.3× 35 0.2× 113 1.0× 7 0.1× 35 428
Wonsiri Punurai Thailand 11 420 1.1× 107 0.4× 82 0.4× 145 1.3× 16 0.2× 27 559
Alain Millard France 12 287 0.7× 23 0.1× 67 0.4× 91 0.8× 26 0.3× 30 379
Phil Hopkins United Kingdom 10 158 0.4× 518 1.8× 317 1.7× 189 1.7× 224 2.3× 40 647

Countries citing papers authored by Ashutosh Sutra Dhar

Since Specialization
Citations

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

Fields of papers citing papers by Ashutosh Sutra Dhar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ashutosh Sutra Dhar. 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 Ashutosh Sutra Dhar. The network helps show where Ashutosh Sutra Dhar may publish in the future.

Co-authorship network of co-authors of Ashutosh Sutra Dhar

This figure shows the co-authorship network connecting the top 25 collaborators of Ashutosh Sutra Dhar. A scholar is included among the top collaborators of Ashutosh Sutra Dhar 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 Ashutosh Sutra Dhar. Ashutosh Sutra Dhar 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.
Dhar, Ashutosh Sutra, et al.. (2025). Fracture assessment of post-buckled offshore pipeline using eXtended finite element method. Applied Ocean Research. 163. 104759–104759.
2.
Hawlader, Bipul, et al.. (2024). Numerical modelling of upheaval buckling of offshore pipelines with unstressed and stressed initial imperfections. Ocean Engineering. 310. 118781–118781. 3 indexed citations
3.
Dhar, Ashutosh Sutra, et al.. (2024). Finite-Element modelling of axial movements of polyethylene pipes in dense sand. Transportation Geotechnics. 48. 101366–101366. 1 indexed citations
4.
Phan, Hieu Chi, et al.. (2023). Reliability assessment of pipelines crossing strike-slip faults considering modeling uncertainties using ANN models. Reliability Engineering & System Safety. 237. 109371–109371. 8 indexed citations
5.
Dhar, Ashutosh Sutra, et al.. (2023). Beam-on-spring modeling of buried MDPE pipes in sand subjected to lateral loads at a pipe junction. Journal of Pipeline Science and Engineering. 3(3). 100125–100125. 2 indexed citations
6.
Phan, Hieu Chi, et al.. (2021). Assessment of critical buckling load of functionally graded plates using artificial neural network modeling. Neural Computing and Applications. 33(23). 16425–16437. 18 indexed citations
7.
Dhar, Ashutosh Sutra, et al.. (2021). Modeling Time-Dependent Behavior of Medium-Density Polyethylene Pipes. Journal of Pipeline Systems Engineering and Practice. 12(4). 1 indexed citations
8.
Dhar, Ashutosh Sutra, et al.. (2021). Nonlinear Time-Dependent Mechanical Behavior of Medium-Density Polyethylene Pipe Material. Journal of Materials in Civil Engineering. 33(5). 7 indexed citations
9.
Phan, Hieu Chi & Ashutosh Sutra Dhar. (2021). Predicting pipeline burst pressures with machine learning models. International Journal of Pressure Vessels and Piping. 191. 104384–104384. 36 indexed citations
10.
Phan, Hieu Chi, et al.. (2021). Accounting for Source Location on the Vulnerability Assessment of Water Distribution Network. Journal of Infrastructure Systems. 27(3). 3 indexed citations
11.
Dhar, Ashutosh Sutra, et al.. (2021). Effects of Axial Relative Ground Movement on Small Diameter Polyethylene Piping in Loose Sand. Infrastructures. 6(12). 168–168. 3 indexed citations
12.
Dhar, Ashutosh Sutra, et al.. (2020). An experimental and numerical investigation of pullout behavior of ductile iron water pipes buried in sand. Canadian Journal of Civil Engineering. 48(2). 134–143. 10 indexed citations
13.
Phan, Hieu Chi, Ashutosh Sutra Dhar, Guangji Hu, & Rehan Sadiq. (2019). Managing water main breaks in distribution networks––A risk-based decision making. Reliability Engineering & System Safety. 191. 106581–106581. 31 indexed citations
14.
15.
Dhar, Ashutosh Sutra, et al.. (2011). Ground Improvement using Pre-loading with Prefabricated Vertical Drains. 2(2). 86–104. 13 indexed citations
16.
Dhar, Ashutosh Sutra & Rafiqul A. Tarefder. (2011). An approximate spreadsheet integration method for foundation settlements in two-layered medium. International Journal of Geotechnical Engineering. 5(4). 437–446. 1 indexed citations
17.
Dhar, Ashutosh Sutra, et al.. (2006). Isotach Model for Time-Dependent Behavior of High-Density Polyethylene. Transportation Research Board 85th Annual MeetingTransportation Research Board. 1 indexed citations
18.
Dhar, Ashutosh Sutra, Ian D. Moore, & Timothy J. McGrath. (2004). Two-Dimensional Analyses of Thermoplastic Culvert Deformations and Strains. Journal of Geotechnical and Geoenvironmental Engineering. 130(2). 199–208. 48 indexed citations
19.
Dhar, Ashutosh Sutra & Ian D. Moore. (2001). Sensitivity of Thermoplastic Pipe Behaviour to Profile Geometry. 23. 1–10. 6 indexed citations
20.
Dhar, Ashutosh Sutra & Ian D. Moore. (2000). Non-Linear Analysis Of Buried Hdpe Pipe By The Finite Element Method: Comparison With Laboratory Test. ISRM International Symposium. 8 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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