N. K. Tiwari

1.0k total citations
42 papers, 851 citations indexed

About

N. K. Tiwari is a scholar working on Civil and Structural Engineering, Environmental Engineering and Ecology. According to data from OpenAlex, N. K. Tiwari has authored 42 papers receiving a total of 851 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Civil and Structural Engineering, 13 papers in Environmental Engineering and 12 papers in Ecology. Recurrent topics in N. K. Tiwari's work include Hydraulic flow and structures (22 papers), Hydrological Forecasting Using AI (12 papers) and Hydrology and Sediment Transport Processes (12 papers). N. K. Tiwari is often cited by papers focused on Hydraulic flow and structures (22 papers), Hydrological Forecasting Using AI (12 papers) and Hydrology and Sediment Transport Processes (12 papers). N. K. Tiwari collaborates with scholars based in India, Sweden and Iran. N. K. Tiwari's co-authors include Subodh Ranjan, Parveen Sihag, Mahesh Pal, Nirmal Kumar Singh, Munish Kumar, Ahmad Sharafati, Sanjeev Kumar, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Nadhir Al‐Ansari and N.K. Singh and has published in prestigious journals such as Applied Sciences, Water Science & Technology and Engineering Applications of Artificial Intelligence.

In The Last Decade

N. K. Tiwari

40 papers receiving 840 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
N. K. Tiwari India 17 613 266 263 241 198 42 851
Mirali Mohammadi Iran 18 404 0.7× 242 0.9× 338 1.3× 300 1.2× 120 0.6× 60 894
Farzin Salmasi Iran 22 1.1k 1.8× 244 0.9× 252 1.0× 537 2.2× 235 1.2× 102 1.3k
Subodh Ranjan India 15 393 0.6× 192 0.7× 204 0.8× 77 0.3× 143 0.7× 29 590
Gholam‐Abbas Barani Iran 12 411 0.7× 158 0.6× 121 0.5× 303 1.3× 79 0.4× 24 602
Ali Tafarojnoruz Italy 17 716 1.2× 172 0.6× 145 0.6× 684 2.8× 387 2.0× 22 968
Seyed Ali Akbar Salehi Neyshabouri Iran 17 400 0.7× 264 1.0× 173 0.7× 332 1.4× 166 0.8× 45 921
Kishanjit Kumar Khatua India 18 733 1.2× 413 1.6× 119 0.5× 812 3.4× 218 1.1× 108 1.1k
Z. Ahmad India 21 863 1.4× 249 0.9× 113 0.4× 789 3.3× 296 1.5× 65 1.1k
Siow Yong Lim Singapore 13 379 0.6× 123 0.5× 85 0.3× 340 1.4× 118 0.6× 21 595
Thamer Ahmed Mohamed Malaysia 16 249 0.4× 124 0.5× 131 0.5× 154 0.6× 80 0.4× 33 646

Countries citing papers authored by N. K. Tiwari

Since Specialization
Citations

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

Fields of papers citing papers by N. K. Tiwari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by N. K. Tiwari. 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 N. K. Tiwari. The network helps show where N. K. Tiwari may publish in the future.

Co-authorship network of co-authors of N. K. Tiwari

This figure shows the co-authorship network connecting the top 25 collaborators of N. K. Tiwari. A scholar is included among the top collaborators of N. K. Tiwari 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 N. K. Tiwari. N. K. Tiwari 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.
Tiwari, N. K., et al.. (2025). More Accurate Prediction of Oxygen Transfer in Water through Venturi Flumes by Data Analysis, Machine Learning, and Uncertainty Investigation. Journal of Environmental Engineering. 151(3). 2 indexed citations
2.
Tiwari, N. K., et al.. (2024). Optimising Venturi flume oxygen transfer efficiency using uncertainty-aware decision trees. Water Science & Technology. 90(12). 3210–3240. 1 indexed citations
3.
Tiwari, N. K., et al.. (2024). Nonlinear ensemble techniques and reliability to estimate oxygen transfer efficiency of rectangular venturi flumes for free flow. ISH Journal of Hydraulic Engineering. 30(5). 583–600. 2 indexed citations
4.
Tiwari, N. K., et al.. (2024). Reliable Prediction of the Aeration Efficiency of Venturi Flumes Using Intelligent Approaches. Journal of Environmental Engineering. 151(2).
5.
Tiwari, N. K., et al.. (2022). Application of soft computing approaches to predict gabion weir oxygen aeration efficiency. ISH Journal of Hydraulic Engineering. 29(3). 244–258. 17 indexed citations
6.
Kumar, Munish, N. K. Tiwari, & Subodh Ranjan. (2022). Application of Machine Learning Methods in Estimating the Oxygenation Performance of Various Configurations of Plunging Hollow Jet Aerators. Journal of Environmental Engineering. 148(11). 15 indexed citations
7.
Tiwari, N. K., et al.. (2022). Modeling of the oxygen aeration performance efficiency of gabion spillways. Water Practice & Technology. 17(11). 2317–2333. 4 indexed citations
8.
Ojha, C. S. P., et al.. (2022). Montana Flume Aeration Performance Evaluation with Machine Learning Models. Journal of The Institution of Engineers (India) Series A. 104(1). 175–186. 6 indexed citations
9.
Kumar, Shubham, N. K. Tiwari, & Subodh Ranjan. (2022). Applicability of several machine learning models in estimation of vortex tube trapping efficiency. Water Science & Technology Water Supply. 22(11). 8173–8195. 7 indexed citations
10.
Sharafati, Ahmad, N. K. Tiwari, Suraj Kumar Bhagat, et al.. (2021). Performance evaluation of sediment ejector efficiency using hybrid neuro-fuzzy models. Engineering Applications of Computational Fluid Mechanics. 15(1). 627–643. 19 indexed citations
11.
Kumar, Munish, N. K. Tiwari, & Subodh Ranjan. (2020). Experimental Study on Oxygen Mass Transfer Characteristics by Plunging Hollow Jets. Arabian Journal for Science and Engineering. 46(5). 4521–4532. 14 indexed citations
12.
Kumar, Munish, Parveen Sihag, N. K. Tiwari, & Subodh Ranjan. (2020). Experimental study and modelling discharge coefficient of trapezoidal and rectangular piano key weirs. Applied Water Science. 10(1). 30 indexed citations
13.
Tiwari, N. K., et al.. (2020). Estimation of the depth of penetrationin a plunging hollow jet using artificialintelligence techniques. Archives of Materials Science and Engineering. 2(103). 49–61. 8 indexed citations
14.
Tiwari, N. K.. (2019). Evaluating hydraulic jump oxygen aeration by experimental observations and data driven techniques. ISH Journal of Hydraulic Engineering. 27(sup1). 601–615. 16 indexed citations
15.
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
16.
Kumar, Munish, N. K. Tiwari, & Subodh Ranjan. (2018). Prediction of oxygen mass transfer of plunging hollow jets using regression models. ISH Journal of Hydraulic Engineering. 1–8. 20 indexed citations
17.
Sihag, Parveen, N. K. Tiwari, & Subodh Ranjan. (2018). Support vector regression-based modeling of cumulative infiltration of sandy soil. ISH Journal of Hydraulic Engineering. 1–7. 54 indexed citations
18.
Sihag, Parveen, N. K. Tiwari, & Subodh Ranjan. (2017). Estimation and inter-comparison of infiltration models. Water Science. 31(1). 34–43. 85 indexed citations
19.
Sihag, Parveen, N. K. Tiwari, & Subodh Ranjan. (2017). Prediction of unsaturated hydraulic conductivity using adaptive neuro- fuzzy inference system (ANFIS). ISH Journal of Hydraulic Engineering. 25(2). 132–142. 87 indexed citations
20.
Pal, Mahesh, Nirmal Kumar Singh, & N. K. Tiwari. (2013). Kernel methods for pier scour modeling using field data. Journal of Hydroinformatics. 16(4). 784–796. 16 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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