Navsal Kumar

790 total citations
39 papers, 557 citations indexed

About

Navsal Kumar is a scholar working on Civil and Structural Engineering, Soil Science and Environmental Engineering. According to data from OpenAlex, Navsal Kumar has authored 39 papers receiving a total of 557 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Civil and Structural Engineering, 16 papers in Soil Science and 14 papers in Environmental Engineering. Recurrent topics in Navsal Kumar's work include Irrigation Practices and Water Management (14 papers), Plant Water Relations and Carbon Dynamics (11 papers) and Soil Moisture and Remote Sensing (8 papers). Navsal Kumar is often cited by papers focused on Irrigation Practices and Water Management (14 papers), Plant Water Relations and Carbon Dynamics (11 papers) and Soil Moisture and Remote Sensing (8 papers). Navsal Kumar collaborates with scholars based in India, United Arab Emirates and United Kingdom. Navsal Kumar's co-authors include Arunava Poddar, Vijay Shankar, Parveen Sihag, Ahmad Alyaseen, Adebayo J. Adeloye, Rabee Rustum, C. S. P. Ojha, Ahmed Elbeltagi, Tej Singh and Daeho Lee and has published in prestigious journals such as Journal of Hydrology, Computers and Electronics in Agriculture and Agricultural Water Management.

In The Last Decade

Navsal Kumar

37 papers receiving 535 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Navsal Kumar India	14	241	186	141	116	103	39	557
Arunava Poddar India	11	228 0.9×	94 0.5×	72 0.5×	121 1.0×	62 0.6×	31	408
Fangping Liu China	12	86 0.4×	94 0.5×	97 0.7×	39 0.3×	43 0.4×	25	423
Tarek Selim Egypt	14	246 1.0×	47 0.3×	111 0.8×	46 0.4×	131 1.3×	32	426
Tianao Wu China	10	61 0.3×	91 0.5×	70 0.5×	44 0.4×	63 0.6×	13	391
J. Montero Spain	15	208 0.9×	294 1.6×	83 0.6×	84 0.7×	587 5.7×	34	791
Eusebio Ventura-Ramos Mexico	9	52 0.2×	101 0.5×	73 0.5×	41 0.4×	116 1.1×	19	470
Muhammad Farooq Ahmed Pakistan	12	149 0.6×	111 0.6×	42 0.3×	50 0.4×	15 0.1×	47	539
Sergio Zubelzu Spain	14	67 0.3×	121 0.7×	171 1.2×	29 0.3×	117 1.1×	43	473
Widianto United States	11	155 0.6×	117 0.6×	24 0.2×	100 0.9×	185 1.8×	26	515
Ali Rahimikhoob Iran	14	58 0.2×	284 1.5×	306 2.2×	20 0.2×	88 0.9×	23	669

Countries citing papers authored by Navsal Kumar

Since Specialization

Citations

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

Fields of papers citing papers by Navsal Kumar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Navsal Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Navsal Kumar. A scholar is included among the top collaborators of Navsal Kumar 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 Navsal Kumar. Navsal Kumar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Kumar, Navsal, et al.. (2025). Comparative Analysis of Machine Learning Techniques for Predicting Bulk Specific Gravity in Modified Asphalt Mixtures Incorporating Polyethylene Terephthalate (PET), High-Density Polyethylene (HDPE), and Polyvinyl Chloride (PVC). Machine Learning and Knowledge Extraction. 7(2). 30–30. 2 indexed citations

Kumar, Navsal, et al.. (2024). Enhancing asphalt mixture performance through waste plastic modification: a comprehensive analysis of optimal compositions and volumetric properties. Journal of Structural Integrity and Maintenance. 9(2). 1 indexed citations

Kumar, Navsal, et al.. (2024). Evaluation of soft computing techniques for predicting Marshall Stability of waste plastic-reinforced asphalt concrete. Journal of Structural Integrity and Maintenance. 9(2). 5 indexed citations

Kumar, Navsal, et al.. (2024). Soft computing-based optimization of plastic waste utilization in flexible pavement construction. Multiscale and Multidisciplinary Modeling Experiments and Design. 7(4). 3087–3098. 1 indexed citations

Kumar, Navsal, et al.. (2024). A comprehensive analysis of institutional wastewater for irrigating ornamental plants. Water Science & Technology Water Supply. 24(8). 2830–2843. 2 indexed citations

Kumar, Navsal, et al.. (2024). Residue and Irrigation Management for Optimizing Productivity and Profitability of Wheat in Ambala (Haryana). Indian Journal of Agricultural Research.

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

Alyaseen, Ahmad, Arunava Poddar, Navsal Kumar, et al.. (2023). Influence of silica fume and Bacillus subtilis combination on concrete made with recycled concrete aggregate: Experimental investigation, economic analysis, and machine learning modeling. Case Studies in Construction Materials. 19. e02638–e02638. 33 indexed citations

Shankar, Vijay, et al.. (2023). Neural computing techniques to estimate the hydraulic conductivity of porous media. Water Science & Technology Water Supply. 23(6). 2586–2603. 2 indexed citations

10.

Kumar, Navsal, et al.. (2023). Assessment of Marshall Stability of asphalt concrete with plastic waste using soft computing techniques. Multiscale and Multidisciplinary Modeling Experiments and Design. 6(4). 733–745. 10 indexed citations

11.

Elbeltagi, Ahmed, Nand Lal Kushwaha, Jitendra Rajput, et al.. (2022). Modelling daily reference evapotranspiration based on stacking hybridization of ANN with meta-heuristic algorithms under diverse agro-climatic conditions. Stochastic Environmental Research and Risk Assessment. 36(10). 3311–3334. 56 indexed citations

12.

Elbeltagi, Ahmed, et al.. (2022). Modelling the reference crop evapotranspiration in the Beas-Sutlej basin (India): an artificial neural network approach based on different combinations of meteorological data. Environmental Monitoring and Assessment. 194(3). 141–141. 18 indexed citations

13.

Poddar, Arunava, Navsal Kumar, Rohitashw Kumar, & Vijay Shankar. (2021). Application of regression modeling for the prediction of field crop coefficients in a humid sub-tropical agro-climate: a study in Hamirpur district of Himachal Pradesh (India). Modeling Earth Systems and Environment. 8(2). 2369–2381. 4 indexed citations

14.

Kumar, Navsal, Rabee Rustum, Vijay Shankar, & Adebayo J. Adeloye. (2021). Self-organizing map estimator for the crop water stress index. Computers and Electronics in Agriculture. 187. 106232–106232. 14 indexed citations

15.

Kumar, Navsal, Vijay Shankar, & Arunava Poddar. (2020). Agro-hydrologic modelling for simulating soil moisture dynamics in the root zone of Potato based on crop coefficient approach under limited climatic data. ISH Journal of Hydraulic Engineering. 28(sup1). 310–326. 4 indexed citations

16.

Kumar, Navsal, Arunava Poddar, Vijay Shankar, C. S. P. Ojha, & Adebayo J. Adeloye. (2019). Crop water stress index for scheduling irrigation of Indian mustard (Brassica juncea) based on water use efficiency considerations. Journal of Agronomy and Crop Science. 206(1). 148–159. 44 indexed citations

17.

Kumar, Navsal, Arunava Poddar, & Vijay Shankar. (2019). Optimizing irrigation through environmental canopy sensing – A proposed automated approach. AIP conference proceedings. 9 indexed citations

18.

Kumar, Navsal, et al.. (2019). PERFORMANCE ASSESSMENT OF PSO AND GA IN ESTIMATING SOIL HYDRAULIC PROPERTIES USING NEAR-SURFACE SOIL MOISTURE OBSERVATIONS. Zenodo (CERN European Organization for Nuclear Research). 8(8). 2 indexed citations

19.

Poddar, Arunava, Navsal Kumar, & Vijay Shankar. (2018). Evaluation of two irrigation scheduling methodologies for potato (Solanum tuberosum L.) in north-western mid-hills of India. ISH Journal of Hydraulic Engineering. 27(1). 90–99. 13 indexed citations

20.

Poddar, Arunava, et al.. (2018). Evaluation of reference evapotranspiration methods and sensitivity analysis of climatic parameters for sub-humid sub-tropical locations in western Himalayas (India). ISH Journal of Hydraulic Engineering. 27(3). 336–346. 34 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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