Parveen Sihag

4.7k total citations · 1 hit paper
149 papers, 3.6k citations indexed

About

Parveen Sihag is a scholar working on Civil and Structural Engineering, Environmental Engineering and Water Science and Technology. According to data from OpenAlex, Parveen Sihag has authored 149 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 105 papers in Civil and Structural Engineering, 43 papers in Environmental Engineering and 33 papers in Water Science and Technology. Recurrent topics in Parveen Sihag's work include Soil and Unsaturated Flow (32 papers), Innovative concrete reinforcement materials (32 papers) and Hydraulic flow and structures (28 papers). Parveen Sihag is often cited by papers focused on Soil and Unsaturated Flow (32 papers), Innovative concrete reinforcement materials (32 papers) and Hydraulic flow and structures (28 papers). Parveen Sihag collaborates with scholars based in India, Iran and Iraq. Parveen Sihag's co-authors include Balraj Singh, N. K. Tiwari, Subodh Ranjan, Karan Singh, Ahmed Salih Mohammed, Munish Kumar, Anastasia Angelaki, Mohindra Singh Thakur, Wael Mahmood and Rawaz Kurda and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Scientific Reports.

In The Last Decade

Parveen Sihag

145 papers receiving 3.5k citations

Hit Papers

Support vector regression... 2022 2026 2023 2024 2022 25 50 75 100
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. Support vector regression (SVR) and grey wolf optimization (GWO) to predict the compressive strength of GGBFS-based geopolymer concrete
    2022 110 citations Ahmed Salih Mohammed, Parveen Sihag et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Parveen Sihag India 36 2.3k 1.0k 753 555 453 149 3.6k
C. S. P. Ojha India 32 969 0.4× 1.2k 1.2× 1.3k 1.7× 179 0.3× 485 1.1× 278 3.8k
Gökmen Tayfur Türkiye 32 806 0.4× 1.1k 1.1× 1.4k 1.8× 198 0.4× 443 1.0× 120 3.0k
Ankit Garg China 39 2.9k 1.3× 1.1k 1.1× 234 0.3× 320 0.6× 1.1k 2.5× 236 5.0k
Akbar A. Javadi United Kingdom 43 3.4k 1.5× 1.2k 1.2× 394 0.5× 455 0.8× 118 0.3× 259 6.1k
Bimlesh Kumar India 24 968 0.4× 334 0.3× 454 0.6× 213 0.4× 722 1.6× 233 2.7k
Roslan Hashim Malaysia 30 1.2k 0.5× 621 0.6× 213 0.3× 372 0.7× 91 0.2× 108 3.0k
Orazio Giustolisi Italy 39 3.3k 1.5× 1.3k 1.3× 933 1.2× 105 0.2× 121 0.3× 165 4.3k
Hojat Karami Iran 31 1.0k 0.5× 829 0.8× 950 1.3× 105 0.2× 297 0.7× 127 2.9k
Saeed Farzin Iran 31 763 0.3× 837 0.8× 944 1.3× 241 0.4× 125 0.3× 103 2.7k
Isam Shahrour France 35 2.7k 1.2× 555 0.5× 362 0.5× 368 0.7× 113 0.2× 243 4.1k

Countries citing papers authored by Parveen Sihag

Since Specialization
Citations

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

Fields of papers citing papers by Parveen Sihag

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Parveen Sihag

This figure shows the co-authorship network connecting the top 25 collaborators of Parveen Sihag. A scholar is included among the top collaborators of Parveen Sihag 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 Parveen Sihag. Parveen Sihag 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.
Seo, Hyungjoon, et al.. (2025). Novel R-C-C fusion machine learning method for automatic damage detection of heritage buildings using 3D point cloud data. Journal of Civil Structural Health Monitoring. 15(6). 1921–1938. 1 indexed citations
2.
3.
Shukla, Bishnu Kant, Arun Goel, Pushpendra Kumar Sharma, & Parveen Sihag. (2025). Approximation of Oxygen Transfer Efficiency of Solid Jet Aerator Having Circular Opening with Kernel Function-Based Models and Random Forest Models. Iranian Journal of Science and Technology Transactions of Civil Engineering. 50(1). 749–769.
4.
Kumar, M. Vinod, Ashwin Raut, Ahmad Alyaseen, et al.. (2024). Polypropylene waste plastic fiber morphology as an influencing factor on the performance and durability of concrete: Experimental investigation, soft-computing modeling, and economic analysis. Construction and Building Materials. 438. 137244–137244. 20 indexed citations
5.
Singh, Balraj, Parveen Sihag, Karan Singh, et al.. (2024). Development of soft computing-based models for forecasting water quality index of Lorestan Province, Iran. Scientific Reports. 14(1). 25980–25980. 1 indexed citations
6.
7.
Sihag, Parveen, et al.. (2024). Aeration of square jets in an open channel: experimental analysis and modeling. AQUA - Water Infrastructure Ecosystems and Society. 74(1). 68–91.
8.
Sihag, Parveen, et al.. (2024). Estimating critical depth and discharge over sloping rough end depth using machine learning. Journal of Hydroinformatics. 26(3). 626–640. 4 indexed citations
9.
Sihag, Parveen, et al.. (2024). A benchmark comparison of AI-based modeling of soil infiltration rates. Journal of Hydroinformatics. 26(12). 3060–3079. 1 indexed citations
10.
Alyaseen, Ahmad, Arunava Poddar, Navsal Kumar, et al.. (2023). High-performance self-compacting concrete with recycled coarse aggregate: Soft-computing analysis of compressive strength. Journal of Building Engineering. 77. 107527–107527. 39 indexed citations
11.
Sihag, Parveen & Balraj Singh. (2023). Discussion of “A Data-Driven Influential Factor Analysis Method for Fly Ash–Based Geopolymer Using Optimized Machine-Learning Algorithms”. Journal of Materials in Civil Engineering. 35(10). 1 indexed citations
12.
Zomorodian, Seyed Mohammad Ali, et al.. (2023). Experimental Study on the Optimum Installation Depth and Dimensions of Roughening Elements on Abutment as Scour Countermeasures. Fluids. 8(6). 175–175. 7 indexed citations
13.
Sihag, Parveen, et al.. (2023). A Comparison Of Single And Multiple Jets In Terms Of Aeration Efficiency. IOP Conference Series Earth and Environmental Science. 1110(1). 12014–12014. 3 indexed citations
14.
Sihag, Parveen, et al.. (2023). Modeling of scour depth and length of a diversion channel flow system with soft computing techniques. Water Science & Technology Water Supply. 23(3). 1267–1283. 6 indexed citations
15.
16.
Singh, Balraj, Isa Ebtehaj, Parveen Sihag, & Hossein Bonakdari. (2021). An expert system for predicting the infiltration characteristics. Water Science & Technology Water Supply. 22(3). 2847–2862. 13 indexed citations
17.
Mohammed, Ahmed Salih, Serwan Rafiq, Parveen Sihag, et al.. (2020). ANN, M5P-tree and nonlinear regression approaches with statistical evaluations to predict the compressive strength of cement-based mortar modified with fly ash. Journal of Materials Research and Technology. 9(6). 12416–12427. 83 indexed citations
18.
Tiwari, N. K., et al.. (2019). Performance evaluation of tunnel type sediment excluder efficiency by machine learning. ISH Journal of Hydraulic Engineering. 28(sup1). 27–39. 5 indexed citations
19.
Kumar, Munish, et al.. (2019). Enhanced soft computing for ensemble approach to estimate the compressive strength of high strength concrete. SHILAP Revista de lepidopterología. 6 indexed citations
20.
Sihag, Parveen, N. K. Tiwari, & Subodh Ranjan. (2017). Estimation and inter-comparison of infiltration models. Water Science. 31(1). 34–43. 85 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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