Karan Singh

486 total citations
20 papers, 383 citations indexed

About

Karan Singh is a scholar working on Environmental Engineering, Civil and Structural Engineering and Soil Science. According to data from OpenAlex, Karan Singh has authored 20 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Environmental Engineering, 6 papers in Civil and Structural Engineering and 3 papers in Soil Science. Recurrent topics in Karan Singh's work include Hydrological Forecasting Using AI (4 papers), Microbial Fuel Cells and Bioremediation (4 papers) and Irrigation Practices and Water Management (3 papers). Karan Singh is often cited by papers focused on Hydrological Forecasting Using AI (4 papers), Microbial Fuel Cells and Bioremediation (4 papers) and Irrigation Practices and Water Management (3 papers). Karan Singh collaborates with scholars based in India, Iran and United States. Karan Singh's co-authors include Parveen Sihag, Balraj Singh, Vijendra Kumar, Kul Vaibhav Sharma, Vijay P. Singh, C. Venkata Siva Rama Prasad, Saad Sh. Sammen, Krzysztof Adam Ostrowski, Paulina Zajdel and Sejong Bae and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Materials.

In The Last Decade

Karan Singh

20 papers receiving 369 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Karan Singh India 9 144 135 117 58 43 20 383
Anatoli Vassiljev Estonia 13 185 1.3× 105 0.8× 169 1.4× 16 0.3× 70 1.6× 50 466
Kaywan Othman Ahmed Iraq 10 91 0.6× 85 0.6× 65 0.6× 23 0.4× 29 0.7× 39 258
John Ndiritu South Africa 11 81 0.6× 169 1.3× 281 2.4× 41 0.7× 171 4.0× 38 522
Mohammad Reza Nikoo Iran 14 258 1.8× 78 0.6× 79 0.7× 15 0.3× 76 1.8× 27 487
Tarek Selim Egypt 14 246 1.7× 111 0.8× 38 0.3× 131 2.3× 47 1.1× 32 426
Xiaoning Li China 12 88 0.6× 181 1.3× 109 0.9× 14 0.2× 149 3.5× 51 487
Arun Goel India 13 191 1.3× 274 2.0× 264 2.3× 45 0.8× 87 2.0× 44 551
Subodh Ranjan India 15 393 2.7× 204 1.5× 192 1.6× 143 2.5× 53 1.2× 29 590
Felipe I. Arreguín-Cortés Mexico 10 306 2.1× 96 0.7× 70 0.6× 10 0.2× 40 0.9× 29 444
Saravanan Kothandaraman India 11 224 1.6× 95 0.7× 97 0.8× 10 0.2× 74 1.7× 33 419

Countries citing papers authored by Karan Singh

Since Specialization
Citations

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

Fields of papers citing papers by Karan Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karan Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Karan Singh. A scholar is included among the top collaborators of Karan Singh 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 Karan Singh. Karan Singh 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.
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
2.
Sharma, Kul Vaibhav, et al.. (2024). Flood detection in the Upper Krishna Basin through integrated geospatial analysis: leveraging decision frameworks and statistical measures. Journal of Hydroinformatics. 26(9). 2389–2415. 4 indexed citations
3.
Sharma, Kul Vaibhav, et al.. (2024). Enhancing groundwater resource detection in Ahmednagar District through an integrated GIS framework utilizing AHP, SI, and FR models. AQUA - Water Infrastructure Ecosystems and Society. 73(10). 2055–2078. 1 indexed citations
4.
Singh, Karan, et al.. (2024). Estimation of Compressive Strength of Rubberised Slag Based Geopolymer Concrete Using Various Machine Learning Techniques Based Models. Iranian Journal of Science and Technology Transactions of Civil Engineering. 6 indexed citations
5.
Sharma, Kul Vaibhav, et al.. (2023). Spatial and Temporal Analysis of Drought Forecasting on Rivers of South India. SHILAP Revista de lepidopterología. 7(3). 88–88. 3 indexed citations
6.
Singh, Karan, Balraj Singh, Parveen Sihag, Vijendra Kumar, & Kul Vaibhav Sharma. (2023). Development and application of modeling techniques to estimate the unsaturated hydraulic conductivity. Modeling Earth Systems and Environment. 9(4). 4557–4571. 25 indexed citations
7.
Singh, Karan, et al.. (2023). Durability properties of rubber aggregates based geopolymer concrete- a review. Materials Today Proceedings. 93. 327–334. 1 indexed citations
8.
Sihag, Parveen, Saad Sh. Sammen, Krzysztof Adam Ostrowski, et al.. (2022). Assessment of Soft Computing Techniques for the Prediction of Compressive Strength of Bacterial Concrete. Materials. 15(2). 489–489. 37 indexed citations
9.
Singh, Balraj, et al.. (2021). Soft computing technique-based prediction of water quality index. Water Science & Technology Water Supply. 21(8). 4015–4029. 25 indexed citations
10.
Singh, Karan, et al.. (2020). Performance of a Dual Chamber Microbial Fuel Cell using Sodium Chloride as Catholyte. Pollution. 6(1). 79–86. 4 indexed citations
11.
Singh, Karan, et al.. (2020). Optimization and performance evaluationof microbial fuel cell by varying agarconcentration using different saltsin salt bridge medium. Archives of Materials Science and Engineering. 2(101). 79–84. 9 indexed citations
12.
Singh, Karan, et al.. (2020). Hydrogeochemical assessment of groundwater quality for few habitations of Chandel District, Manipur (India). Applied Water Science. 10(5). 21 indexed citations
13.
Singh, Balraj, Parveen Sihag, & Karan Singh. (2018). Comparison of infiltration models in NIT Kurukshetra campus. Applied Water Science. 8(2). 36 indexed citations
14.
Singh, Balraj, Parveen Sihag, & Karan Singh. (2017). Modelling of impact of water quality on infiltration rate of soil by random forest regression. Modeling Earth Systems and Environment. 3(3). 999–1004. 182 indexed citations
15.
Singh, Karan, et al.. (2016). EFFECT OF POROSITY ON OCV AND WASTEWATER TREATMENT EFFICIENCY OF A CLAY PARTITIONED ION-EXCHANGE DOUBLE-CHAMBER MICROBIAL FUEL CELL. 1 indexed citations
16.
Singh, Karan, et al.. (2014). Estimation of water requirement for soybean (Glycine max) and wheat (Triticum aestivum) under vertisols of Madhya Pradesh. The Indian Journal of Agricultural Sciences. 84(2). 10 indexed citations
17.
Nkum, R.K., et al.. (2013). EFFECT OF COD ON OCV, POWER PRODUCTION AND COULOMBIC EFFICIENCY OF SINGLE-CHAMBERED MICROBIAL FUEL CELLS. 2 indexed citations
18.
Li, et al.. (2012). TELBS robust linear regression method. 65–65. 10 indexed citations
19.
Chauhan, Sakshi, et al.. (2000). Effect of breed, egg size and shape on fertility, late embryonic mortality and hatchability.. Indian Journal of Poultry Science. 35(2). 207–210. 3 indexed citations
20.
Singh, Karan, et al.. (1990). Response of olfactory behaviour of American cockroach Periplaneta americana (L.) to monoterpenoids.. Indian Journal of Entomology. 52(3). 438–441. 2 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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