G. Lavanya

426 total citations
29 papers, 267 citations indexed

About

G. Lavanya is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Water Science and Technology. According to data from OpenAlex, G. Lavanya has authored 29 papers receiving a total of 267 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Networks and Communications, 7 papers in Electrical and Electronic Engineering and 5 papers in Water Science and Technology. Recurrent topics in G. Lavanya's work include IoT and Edge/Fog Computing (6 papers), Mobile Ad Hoc Networks (3 papers) and IoT-based Smart Home Systems (3 papers). G. Lavanya is often cited by papers focused on IoT and Edge/Fog Computing (6 papers), Mobile Ad Hoc Networks (3 papers) and IoT-based Smart Home Systems (3 papers). G. Lavanya collaborates with scholars based in India, Saudi Arabia and United States. G. Lavanya's co-authors include P. Ganeshkumar, S. Lavanya, P.N. Sudha, T. Gomathi, Natarajan Arumugam, Srinivasan Latha, C. N. S. Vinoth Kumar, A. Ebenezer Jeyakumar, Prabhakar Bhandari and Mohammed Fahad Albeshr and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Biological Macromolecules and Journal of the Taiwan Institute of Chemical Engineers.

In The Last Decade

G. Lavanya

22 papers receiving 240 citations

Peers

G. Lavanya
G. Lavanya
Citations per year, relative to G. Lavanya G. Lavanya (= 1×) peers Ana–Maria Drăgulinescu

Countries citing papers authored by G. Lavanya

Since Specialization
Citations

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

Fields of papers citing papers by G. Lavanya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Lavanya

This figure shows the co-authorship network connecting the top 25 collaborators of G. Lavanya. A scholar is included among the top collaborators of G. Lavanya 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 G. Lavanya. G. Lavanya 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
2.
Latha, Srinivasan, K. Vijayalakshmi, Matar Alshalwi, et al.. (2024). Evaluation of efficacy of chitosan oligosaccharide-salicylaldehyde Schiff base to extract copper(II) and chromium(VI) from synthetic wastewater. Biomass Conversion and Biorefinery. 15(17). 24035–24050. 6 indexed citations
4.
Lakhanpal, Sorabh, et al.. (2024). AI Evolution in Industry 4.0 and Industry 5.0: An Experimental Comparative Assessment. SHILAP Revista de lepidopterología. 86. 1069–1069. 6 indexed citations
8.
Latha, Srinivasan, et al.. (2023). Biosorption efficacy studies of Sargassum wightii and its biochar on the removal of chromium from aqueous solution. Journal of the Taiwan Institute of Chemical Engineers. 166. 105241–105241. 25 indexed citations
9.
Nanthini, A. Usha Raja, Aruliah Rajasekar, G. Lavanya, et al.. (2023). Antihyperlipidemic effect of red fermented rice with Monascus sp. in rats model with hematological and histopathological studies. Biomass Conversion and Biorefinery. 15(20). 27207–27216. 1 indexed citations
10.
Lavanya, G., et al.. (2023). Water quality prediction using CNN. Journal of Physics Conference Series. 2484(1). 12051–12051. 12 indexed citations
12.
Lavanya, G., et al.. (2023). Soil fertility detection and crop monitoring using Internet of Things and machine learning. AIP conference proceedings. 2808. 30009–30009.
13.
Subramanian, Aravind Kumar, et al.. (2021). Comparative Evaluation Of Marginal Leakage Of Ssc And Zirco-nia Crowns In Primary Teeth. NVEO - NATURAL VOLATILES & ESSENTIAL OILS Journal | NVEO. 7063–7068. 1 indexed citations
14.
Lavanya, G., et al.. (2019). An automated low cost IoT based Fertilizer Intimation System for smart agriculture. Sustainable Computing Informatics and Systems. 28. 100300–100300. 127 indexed citations
15.
Lavanya, G., et al.. (2019). Evaluation of gingival melanin pigmentation in pediatric population– An observational study. SHILAP Revista de lepidopterología. 8(8). 2623–2623. 5 indexed citations
16.
Lavanya, G., et al.. (2017). A Survey on Internet of Things for Healthcare and Medication Management. International Journal of Scientific Research in Computer Science Engineering and Information Technology. 2(1). 1–5. 3 indexed citations
17.
Lavanya, G., et al.. (2016). Obstacle Detection and Path Crossover Using Fire Bird V Robot. IJSRD : international journal for scientific research and development. 3(11). 270–273. 2 indexed citations
18.
Lavanya, G., et al.. (2013). Passenger BUS alert system for easy navigation of blind. 3. 798–802. 20 indexed citations
19.
Lavanya, G., et al.. (2010). Secured Back up Routing Protocol for Adhoc Networks. International Journal of Computer Theory and Engineering. 503–506. 2 indexed citations
20.
Lavanya, G., et al.. (2010). Secured Backup Routing Protocol for Ad Hoc Networks. 20. 45–50. 7 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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