P.L. Narayana

1.1k total citations
41 papers, 817 citations indexed

About

P.L. Narayana is a scholar working on Mechanical Engineering, Materials Chemistry and Mechanics of Materials. According to data from OpenAlex, P.L. Narayana has authored 41 papers receiving a total of 817 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Mechanical Engineering, 22 papers in Materials Chemistry and 7 papers in Mechanics of Materials. Recurrent topics in P.L. Narayana's work include Titanium Alloys Microstructure and Properties (15 papers), Additive Manufacturing Materials and Processes (12 papers) and Metallurgy and Material Forming (6 papers). P.L. Narayana is often cited by papers focused on Titanium Alloys Microstructure and Properties (15 papers), Additive Manufacturing Materials and Processes (12 papers) and Metallurgy and Material Forming (6 papers). P.L. Narayana collaborates with scholars based in South Korea, India and Saudi Arabia. P.L. Narayana's co-authors include N.S. Reddy, Jae‐Keun Hong, Jong‐Taek Yeom, Chan Hee Park, Seong-Woo Choi, Chenglin Li, Seong-Woong Kim, Jae H. Kim, Sang Won Lee and Sangwon Lee and has published in prestigious journals such as The Science of The Total Environment, Chemosphere and Materials Science and Engineering A.

In The Last Decade

P.L. Narayana

40 papers receiving 790 citations

Peers

Countries citing papers authored by P.L. Narayana

Since Specialization

Citations

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

Fields of papers citing papers by P.L. Narayana

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P.L. Narayana

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

#	Title	Journal	Authors	Indexed citations
1	Evaluating Machine Learning Models for Predicting Hardness of AlCoCrCuFeNi High-Entropy Alloys	Crystals	Uma Maheshwera Reddy Paturi, P.L. Narayana et al.	2
2	Artificial Neural Network Modeling of Ti-6Al-4V Alloys to Correlate Their Microstructure and Mechanical Properties	Materials	P.L. Narayana, Jong‐Taek Yeom et al.	3
3	Artificial neural network-based prediction of stacking fault energy in Fe-Cr-Mn-C-N steels	Canadian Metallurgical Quarterly	P.L. Narayana, Muhammad Ishtiaq et al.	1
4	Microstructural evolution and tensile properties of direct energy deposited Ti-4Al-5Co-0.25Si alloy during heat treatment	Journal of Alloys and Compounds	P.L. Narayana, Jae H. Kim et al.	6
5	Modeling capacitance of carbon-based supercapacitors by artificial neural networks	Journal of Energy Storage	B.S. Reddy, P.L. Narayana et al.	13
6	Neural Network Models for Estimating the Impact of Physicochemical and Operational Parameters on the Specific Capacity of Activated-Carbon-Based Supercapacitors	Energy & Fuels	B.S. Reddy, Uma Maheshwera Reddy Paturi et al.	0
7	Effect of Oxygen Content on Microstructure and Mechanical Properties of Additive Manufactured Ti-6Al-4V	Korean Journal of Metals and Materials	P.L. Narayana, Seong Woo Choi et al.	11
8	Enhancing the mechanical properties and corrosion resistance of commercially pure titanium using tungsten carbide composites fabricated via additive manufacturing	Journal of Materials Research and Technology	Jae H. Kim, Dae Won Yun et al.	8
9	Artificial neural networks modeling for lead removal from aqueous solutions using iron oxide nanocomposites from bio-waste mass	Environmental Research	P.L. Narayana, Xiaosong Wang et al.	32
10	Novel eutectoid Ti-5Ni alloy fabricated via direct energy deposition	Scripta Materialia	P.L. Narayana, Jae H. Kim et al.	28
11	Knowledge extraction of sonophotocatalytic treatment for acid blue 113 dye removal by artificial neural networks	Environmental Research	B.S. Reddy, P.L. Narayana et al.	13
12	Prediction of batch sorption of barium and strontium from saline water	Environmental Research	B.S. Reddy, V E Sathishkumar et al.	12
13	Modeling the quantitative effect of alloying elements on the M temperature of high carbon steel by artificial neural networks	Materials Letters	Xiaosong Wang, P.L. Narayana et al.	8
14	Modeling and optimization of process parameters of biofilm reactor for wastewater treatment	The Science of The Total Environment	B.S. Reddy, Jayaraman Theerthagiri et al.	18
15	Predictive capability evaluation and optimization of Pb(II) removal by reduced graphene oxide-based inverse spinel nickel ferrite nanocomposite	Environmental Research	P.L. Narayana, Lakshmi Prasanna Lingamdinne et al.	46
16	Formation of equiaxed grains in selective laser melted pure titanium during annealing	Journal of Materials Research and Technology	Chenglin Li, P.L. Narayana et al.	32
17	Modeling cyclic volatile methylsiloxanes removal efficiency from wastewater by ZnO-coated aluminum anode using artificial neural networks	Journal of King Saud University - Science	B.S. Reddy, P.L. Narayana et al.	3
18	Modeling and optimization of chlorophenol rejection for spiral wound reverse osmosis membrane modules	Chemosphere	Vinu Sivanantham, P.L. Narayana et al.	3
19	Modeling high-temperature mechanical properties of austenitic stainless steels by neural networks	Computational Materials Science	P.L. Narayana, Sang Won Lee et al.	36
20	High strength and ductility of electron beam melted β stabilized γ-TiAl alloy at 800°C	Materials Science and Engineering A	P.L. Narayana, Chenglin Li et al.	41

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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