Nitin Rakesh

535 total citations
52 papers, 245 citations indexed

About

Nitin Rakesh is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Nitin Rakesh has authored 52 papers receiving a total of 245 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Electrical and Electronic Engineering, 10 papers in Computer Networks and Communications and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Nitin Rakesh's work include Millimeter-Wave Propagation and Modeling (7 papers), IoT-based Smart Home Systems (6 papers) and Advanced MIMO Systems Optimization (5 papers). Nitin Rakesh is often cited by papers focused on Millimeter-Wave Propagation and Modeling (7 papers), IoT-based Smart Home Systems (6 papers) and Advanced MIMO Systems Optimization (5 papers). Nitin Rakesh collaborates with scholars based in India, United States and Yemen. Nitin Rakesh's co-authors include U Kumaran, K. Rameshkumar, S. K. Srivatsa, B. Uma Maheswari, T Anjali, Yousef Farhaoui, Bharat Bhushan, Mohamed K M Shakir, Shiv Prasad and S.K. Kulkarni and has published in prestigious journals such as Materials Today Proceedings, IET Communications and Journal of Physics Conference Series.

In The Last Decade

Nitin Rakesh

38 papers receiving 236 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nitin Rakesh India 10 73 70 45 34 31 52 245
S. Jayaprakash India 9 111 1.5× 36 0.5× 15 0.3× 20 0.6× 13 0.4× 38 292
Supratim Auddy India 8 57 0.8× 80 1.1× 12 0.3× 30 0.9× 27 0.9× 8 237
Ricardo Simón Carbajo Ireland 10 110 1.5× 154 2.2× 29 0.6× 26 0.8× 62 2.0× 24 319
Krzysztof Zarzycki Poland 6 52 0.7× 17 0.2× 23 0.5× 20 0.6× 11 0.4× 18 216
Doğukan Aksu Türkiye 5 41 0.6× 65 0.9× 47 1.0× 15 0.4× 11 0.4× 10 272
Yanrong Lu China 11 20 0.3× 87 1.2× 23 0.5× 11 0.3× 11 0.4× 50 353
Zhiwen Wang China 10 76 1.0× 125 1.8× 34 0.8× 7 0.2× 6 0.2× 64 401
Yuanyuan Xu China 9 57 0.8× 12 0.2× 70 1.6× 63 1.9× 10 0.3× 27 294
Ştefan Gunǎ Italy 5 153 2.1× 239 3.4× 31 0.7× 38 1.1× 11 0.4× 7 371
Mohamed Fourati Tunisia 9 127 1.7× 101 1.4× 7 0.2× 34 1.0× 10 0.3× 15 266

Countries citing papers authored by Nitin Rakesh

Since Specialization
Citations

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

Fields of papers citing papers by Nitin Rakesh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nitin Rakesh

This figure shows the co-authorship network connecting the top 25 collaborators of Nitin Rakesh. A scholar is included among the top collaborators of Nitin Rakesh 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 Nitin Rakesh. Nitin Rakesh 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
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Rakesh, Nitin, et al.. (2024). MACHINE LEARNING-DRIVEN STRATEGIES FOR CUSTOMER RETENTION AND FINANCIAL IMPROVEMENT. Archives for Technical Sciences. 2(31). 269–283. 2 indexed citations
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Rakesh, Nitin, et al.. (2024). Performance analysis of electromagnetic nano‐communication with interference over dual selection combining diversity technique. IET Communications. 18(20). 1765–1777. 1 indexed citations
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Rakesh, Nitin, et al.. (2022). Effect of fluxes on weld penetration during TIG welding – A review. Materials Today Proceedings. 72. 3040–3048. 8 indexed citations
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Rakesh, Nitin, et al.. (2020). Real Time Analysis of Air Pollution Prediction using IoT. 904–909. 14 indexed citations
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Rakesh, Nitin, et al.. (2018). Investigation on Air Pollutant Data Sets using Data Mining Tool. 480–485. 10 indexed citations
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Rakesh, Nitin, et al.. (2018). Analysis of Lake Water Quality classification using Fuzzy inference Systems. 168–173. 5 indexed citations
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Rakesh, Nitin, et al.. (2017). Enhancement and performance analysis of LEACH algorithm in IOT. 1–5. 5 indexed citations
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Rakesh, Nitin, et al.. (2017). Emergency human collapse detection and tracking system. 2017 International Conference On Smart Technologies For Smart Nation (SmartTechCon). 324–329. 4 indexed citations
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Rakesh, Nitin, et al.. (2015). Enhancement of Speech Compression Based on Various Wavelet Transform, Run length Encoding and Thresholding. International Journal of Applied Engineering Research. 10. 1 indexed citations
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Rakesh, Nitin, B. Uma Maheswari, & S. K. Srivatsa. (2014). Performance analysis of propagation models in different terrain conditions for IEEE standard 802.16e WiMAX. 142–146. 7 indexed citations
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Rakesh, Nitin, et al.. (2013). A Study on Path Loss Analysis for GSM Mobile Networks for Urban, Rural and Suburban Regions of Karnataka State. International Journal of Distributed and Parallel systems. 4(1). 53–66. 14 indexed citations
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Rakesh, Nitin, T R Mahesh, & S. K. Srivatsa. (2011). A Comprehensive Investigation of Sip Protocol. 3(9). 593–597. 1 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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