H. L. Tiwari

681 total citations
45 papers, 451 citations indexed

About

H. L. Tiwari is a scholar working on Global and Planetary Change, Environmental Engineering and Water Science and Technology. According to data from OpenAlex, H. L. Tiwari has authored 45 papers receiving a total of 451 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Global and Planetary Change, 21 papers in Environmental Engineering and 21 papers in Water Science and Technology. Recurrent topics in H. L. Tiwari's work include Hydrology and Watershed Management Studies (21 papers), Flood Risk Assessment and Management (17 papers) and Hydrological Forecasting Using AI (11 papers). H. L. Tiwari is often cited by papers focused on Hydrology and Watershed Management Studies (21 papers), Flood Risk Assessment and Management (17 papers) and Hydrological Forecasting Using AI (11 papers). H. L. Tiwari collaborates with scholars based in India and Israel. H. L. Tiwari's co-authors include R. K. Jaiswal, A. K. Lohani, Vikas Poonia, Arun Goel, R. V. Galkate, Shivam Singh, Sudhakar Singh, Savita Kumari, Avinash Panwar and S. Suresh and has published in prestigious journals such as Journal of Hydrology, Journal of Arid Environments and Ocean Engineering.

In The Last Decade

H. L. Tiwari

39 papers receiving 432 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
H. L. Tiwari India	10	277	173	113	78	47	45	451
Naeem Saddique Pakistan	12	288 1.0×	186 1.1×	143 1.3×	144 1.8×	38 0.8×	22	482
Halil İbrahim Burgan Türkiye	13	282 1.0×	208 1.2×	80 0.7×	59 0.8×	24 0.5×	21	440
Kaka Shahedi Iran	12	398 1.4×	267 1.5×	187 1.7×	77 1.0×	34 0.7×	40	558
Boosik Kang South Korea	10	259 0.9×	195 1.1×	100 0.9×	134 1.7×	23 0.5×	51	387
P. V. Timbadiya India	11	304 1.1×	173 1.0×	74 0.7×	76 1.0×	70 1.5×	43	405
Yeqiang Wen China	11	312 1.1×	227 1.3×	155 1.4×	177 2.3×	40 0.9×	11	517
Vanita Pandey India	10	245 0.9×	129 0.7×	92 0.8×	58 0.7×	35 0.7×	24	357
Katayoun Kargar Iran	6	215 0.8×	217 1.3×	201 1.8×	35 0.4×	50 1.1×	8	430
Jerry E. Moorhead United States	15	389 1.4×	188 1.1×	86 0.8×	44 0.6×	38 0.8×	35	509
Khada Nanda Dulal Japan	5	209 0.8×	260 1.5×	248 2.2×	44 0.6×	38 0.8×	7	425

Countries citing papers authored by H. L. Tiwari

Since Specialization

Citations

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

Fields of papers citing papers by H. L. Tiwari

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of H. L. Tiwari

This figure shows the co-authorship network connecting the top 25 collaborators of H. L. Tiwari. A scholar is included among the top collaborators of H. L. 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 H. L. Tiwari. H. L. Tiwari 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

Tiwari, H. L., et al.. (2025). Morphometric evaluation of Manjara watershed, Latur district, Maharashtra, India : a GIS approach. Innovative Infrastructure Solutions. 10(3).

Kumari, Savita, et al.. (2025). Analyzing the effectiveness of turbulence models in predicting flow around tandem piers. Ocean Engineering. 321. 120467–120467. 2 indexed citations

Tiwari, H. L., et al.. (2024). A comparative study on the modeling of soil erosion by USLE, RUSLE, and USPED. ISH Journal of Hydraulic Engineering. 30(4). 501–510.

Tiwari, H. L., et al.. (2024). An integrated approach of machine learning methods coupled with cellular automation for monitoring and forecasting of land use and land cover. Journal of Arid Environments. 226. 105293–105293. 1 indexed citations

Tiwari, H. L., et al.. (2022). Investigation of spatial patterns erosion in the watershed of Kodar Reservoir Chhatisgarh using USPED model. ISH Journal of Hydraulic Engineering. 29(3). 360–366. 2 indexed citations

Tiwari, H. L., et al.. (2021). Mitigating future climate change effects on wheat and soybean yields in Central region of Madhya Pradesh by shifting sowing dates. Journal of Agrometeorology. 21(4). 468–473. 3 indexed citations

Singh, Shivam, et al.. (2021). Sedimentation analysis for a reservoir using remote sensing and GIS techniques. ISH Journal of Hydraulic Engineering. 29(1). 71–79. 6 indexed citations

Tiwari, H. L., et al.. (2020). A comparative study of soil erosion models based on GIS and remote sensing. ISH Journal of Hydraulic Engineering. 28(1). 98–102. 7 indexed citations

Poonia, Vikas & H. L. Tiwari. (2020). Rainfall-runoff modeling for the Hoshangabad Basin of Narmada River using artificial neural network. Arabian Journal of Geosciences. 13(18). 31 indexed citations

10.

Tiwari, H. L., et al.. (2018). Hydrological Modelling in Narmada Basin using Remote Sensing and GIS with SWAT model and Runoff Prediction in Patan Watershed. International journal of advance research, ideas and innovations in technology. 4(2). 344–352. 5 indexed citations

11.

Poonia, Vikas, et al.. (2018). Hydrological Analysis by Artificial Neural Network: A Review. International journal of advance research, ideas and innovations in technology. 4(3). 265–270. 4 indexed citations

12.

Tiwari, H. L., et al.. (2017). Runoff Estimation of a Basin Using Tank Model. 6(5). 51–53. 3 indexed citations

13.

Jaiswal, R. K., H. L. Tiwari, & A. K. Lohani. (2017). Assessment of climate change impact on rainfall for studying water availability in upper Mahanadi catchment, India. Journal of Water and Climate Change. 8(4). 755–770. 13 indexed citations

14.

Tiwari, H. L., et al.. (2015). Assessment of Reservoir Sedimentation Using Remote Sensing Technique with GIS Model-A Review. International Journal of Engineering and Management Research. 5(3). 411–417. 3 indexed citations

15.

Tiwari, H. L., et al.. (2015). Effect of Inverted T- Shape Splitter Blocks on the Performance of Stilling Basin Models. Aquatic Procedia. 4. 1561–1568. 1 indexed citations

16.

Tiwari, H. L., et al.. (2015). Rainfall Runoff Estimation using RRL Toolkit. International Journal of Engineering Research and. V4(5). 3 indexed citations

17.

Tiwari, H. L., et al.. (2014). Comprehensive Review of RunoffEstimation by the Curve Number Method. International Journal of Innovative Research in Science Engineering and Technology. 3(11). 5 indexed citations

18.

Panwar, Avinash & H. L. Tiwari. (2014). Hydraulic Energy Dissipators-A Review. International Journal of Scientific Engineering and Technology. 3(4). 400–402. 1 indexed citations

19.

Tiwari, H. L., et al.. (2011). THE EFFECT OF SALTS OF THE HYDRAULIC CONDUCTIVITY OF THE SALINE ALKALI SOIL. Indian Journal of Scientific Research. 2(4). 117–119. 5 indexed citations

20.

Singh, Sudhakar, et al.. (1982). Infant feeding patterns in Rewa. The Indian Journal of Pediatrics. 49(6). 815–818. 5 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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