Maneek Kumar

781 total citations
23 papers, 619 citations indexed

About

Maneek Kumar is a scholar working on Civil and Structural Engineering, Building and Construction and Speech and Hearing. According to data from OpenAlex, Maneek Kumar has authored 23 papers receiving a total of 619 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Civil and Structural Engineering, 11 papers in Building and Construction and 4 papers in Speech and Hearing. Recurrent topics in Maneek Kumar's work include Innovative concrete reinforcement materials (12 papers), Structural Behavior of Reinforced Concrete (6 papers) and Concrete and Cement Materials Research (5 papers). Maneek Kumar is often cited by papers focused on Innovative concrete reinforcement materials (12 papers), Structural Behavior of Reinforced Concrete (6 papers) and Concrete and Cement Materials Research (5 papers). Maneek Kumar collaborates with scholars based in India, Italy and Bulgaria. Maneek Kumar's co-authors include Palika Chopra, Rajendra Kumar Sharma, Shweta Goyal, Bishwajit Bhattacharjee, Daljeet Singh, S. P. Nigam, Prem Pal Bansal, Vikesh Agrawal, R. K. Sharma and S K Kaushik and has published in prestigious journals such as SHILAP Revista de lepidopterología, Construction and Building Materials and Journal of Environmental Management.

In The Last Decade

Maneek Kumar

22 papers receiving 591 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maneek Kumar India 11 493 268 59 52 44 23 619
Viktoras Vorobjovas Lithuania 12 457 0.9× 118 0.4× 32 0.5× 68 1.3× 67 1.5× 44 539
Stjepan Lakušić Croatia 13 393 0.8× 195 0.7× 25 0.4× 65 1.3× 236 5.4× 130 606
Peter Mikhailenko Switzerland 17 719 1.5× 115 0.4× 43 0.7× 33 0.6× 68 1.5× 36 788
Donatas Čygas Lithuania 14 515 1.0× 75 0.3× 29 0.5× 21 0.4× 90 2.0× 65 636
Martin Decký Slovakia 16 327 0.7× 106 0.4× 21 0.4× 32 0.6× 78 1.8× 47 457
Robert Otto Rasmussen United States 14 566 1.1× 84 0.3× 16 0.3× 27 0.5× 42 1.0× 67 623
Zhengguang Wu China 19 685 1.4× 185 0.7× 47 0.8× 17 0.3× 51 1.2× 45 805
Yeong Huei Lee Malaysia 12 560 1.1× 430 1.6× 121 2.1× 11 0.2× 61 1.4× 42 758
Shaohua He China 18 920 1.9× 782 2.9× 25 0.4× 33 0.6× 58 1.3× 53 1.0k
Piotr Jaskuła Poland 17 743 1.5× 73 0.3× 31 0.5× 23 0.4× 215 4.9× 61 846

Countries citing papers authored by Maneek Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Maneek Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maneek Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Maneek Kumar. A scholar is included among the top collaborators of Maneek 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 Maneek Kumar. Maneek Kumar 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.
Kumar, Maneek, et al.. (2022). Double skin rubberized steel fiber mixed composite column. Materials Today Proceedings. 68. 2175–2181. 1 indexed citations
2.
Kumar, Maneek, et al.. (2021). Cupola slag as partial replacement of fine aggregate in concrete – An experimental study. Journal of Building Engineering. 44. 103343–103343. 11 indexed citations
3.
Chopra, Palika, et al.. (2018). Comparison of Machine Learning Techniques for the Prediction of Compressive Strength of Concrete. Advances in Civil Engineering. 2018(1). 112 indexed citations
4.
Guarnaccia, Cláudio, Daljeet Singh, J. Quartieri, et al.. (2018). Honking noise contribution to road traffic noise prediction. AIP conference proceedings. 1982. 20042–20042. 1 indexed citations
5.
Kumar, Maneek, et al.. (2018). Utilization of Industrial Byproducts in Concrete Applications by Adopting Grey Taguchi Method for Optimization. Zenodo (CERN European Organization for Nuclear Research). 12(12). 1165–1176. 1 indexed citations
6.
Goyal, Shweta, et al.. (2017). Electrochemical Impedance Spectroscopy to Study the Carbonation Behavior of Concrete Treated with Corrosion Inhibitors. Journal of Advanced Concrete Technology. 15(12). 738–748. 21 indexed citations
7.
Singh, Daljeet, et al.. (2017). Modelling of urban traffic noise using a systems approach. Proceedings of the Institution of Civil Engineers - Transport. 171(4). 235–244. 4 indexed citations
8.
Singh, Daljeet, S. P. Nigam, Vikesh Agrawal, & Maneek Kumar. (2016). Vehicular traffic noise prediction using soft computing approach. Journal of Environmental Management. 183. 59–66. 49 indexed citations
9.
Singh, Daljeet, S. P. Nigam, Vikesh Agrawal, & Maneek Kumar. (2016). Modelling and Analysis of Urban Traffic Noise System Using Algebraic Graph Theoretic Approach. Acoustics Australia. 44(2). 249–261. 11 indexed citations
10.
Bansal, Prem Pal, et al.. (2015). Experimental studies on strength and ductility of ferrocement jacketed RC beam-column joints. International Journal of Civil and Structural Engineering. 5(3). 199–205. 3 indexed citations
11.
Chopra, Palika, R. K. Sharma, & Maneek Kumar. (2015). Artificial Neural Networks for the Prediction of Compressive Strength of Concrete. 13(3). 187–204. 43 indexed citations
12.
Kumar, Maneek, et al.. (2015). Reliability based design optimization of concrete mix proportions using generalized ridge regression model. SHILAP Revista de lepidopterología. 8(1). 26–37. 3 indexed citations
13.
Kumar, Maneek, et al.. (2015). Predicting Compressive Strength of Concrete. 13(2). 171–185. 6 indexed citations
14.
Bansal, Prem Pal, et al.. (2014). Experimental studies on strength and ductility of CFRP jacketed reinforced concrete beam-column joints. Construction and Building Materials. 55. 194–201. 47 indexed citations
15.
Chopra, Palika, Rajendra Kumar Sharma, & Maneek Kumar. (2014). PREDICTING COMPRESSIVE STRENGTH OF CONCRETE FOR VARYING WORKABILITY USING REGRESSION MODELS. DergiPark (Istanbul University). 6(4). 10–10. 12 indexed citations
16.
Kwatra, Naveen, et al.. (2009). EFFECT OF LATERAL QUASI-STATIC LOAD ON NONLINEAR BEHAVIOUR AND DAMAGE INDEXES OF RETROFITTED RC FRAME MODEL. 10(5). 0–0.
17.
Kumar, Maneek, et al.. (2009). AN EXPERIMENTAL INVESTIGATION ON COIR FIBER AND FLY ASH IN STABILIZED MECHANISTIC PAVEMENTS. 4 indexed citations
18.
Goyal, Shweta, et al.. (2009). Resistance of Mineral Admixture Concrete to Acid Attack. Journal of Advanced Concrete Technology. 7(2). 273–283. 59 indexed citations
19.
Bansal, Prem Pal, Maneek Kumar, & S K Kaushik. (2008). Experimental Study on Retrofitting of Stressed RC Beams using GFRP Jackets. Journal of Reinforced Plastics and Composites. 29(2). 190–200. 1 indexed citations
20.
Dutta, Piyush K., Maneek Kumar, & D. Hui. (1994). Dynamic tensile strength of glass fiber reinforced pultruded composites. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 3 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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