Nitin Rakesh

1.1k total citations
135 papers, 384 citations indexed

About

Nitin Rakesh is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Nitin Rakesh has authored 135 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Computer Networks and Communications, 28 papers in Artificial Intelligence and 26 papers in Information Systems. Recurrent topics in Nitin Rakesh's work include Caching and Content Delivery (13 papers), IoT and Edge/Fog Computing (12 papers) and Network Security and Intrusion Detection (11 papers). Nitin Rakesh is often cited by papers focused on Caching and Content Delivery (13 papers), IoT and Edge/Fog Computing (12 papers) and Network Security and Intrusion Detection (11 papers). Nitin Rakesh collaborates with scholars based in India, United Arab Emirates and Saudi Arabia. Nitin Rakesh's co-authors include Nitin Nitin, Vipin Tyagi, Mandeep Kaur, Yaodong Zhu, Thippa Reddy Gadekallu, K. K. Mishra, P. K. Gupta, Abdul Rehman Khan, Jeongyeup Paek and Praveen Kumar Reddy Maddikunta and has published in prestigious journals such as Expert Systems with Applications, Frontiers in Human Neuroscience and Journal of Cellular and Molecular Medicine.

In The Last Decade

Nitin Rakesh

80 papers receiving 353 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 9 203 90 79 71 70 135 384
Ramesh Vatambeti India 12 192 0.9× 127 1.4× 37 0.5× 83 1.2× 68 1.0× 61 447
Ahthasham Sajid Pakistan 10 169 0.8× 95 1.1× 86 1.1× 94 1.3× 71 1.0× 52 371
Alekha Kumar Mishra India 11 214 1.1× 77 0.9× 63 0.8× 60 0.8× 79 1.1× 41 335
M. Thenmozhi India 8 113 0.6× 124 1.4× 47 0.6× 91 1.3× 43 0.6× 43 382
Balasubramanian Prabhu Kavin India 11 162 0.8× 171 1.9× 50 0.6× 143 2.0× 45 0.6× 40 458
Megha Quamara India 7 247 1.2× 80 0.9× 80 1.0× 146 2.1× 73 1.0× 17 404
Yibin Hou China 11 154 0.8× 67 0.7× 38 0.5× 37 0.5× 94 1.3× 72 358
Navod Neranjan Thilakarathne Sri Lanka 13 176 0.9× 102 1.1× 52 0.7× 135 1.9× 41 0.6× 31 493
Shilpa Chaudhari India 11 198 1.0× 45 0.5× 23 0.3× 88 1.2× 90 1.3× 73 357

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.. (2025). High performance GPU implementation of KNN algorithm: A review. MethodsX. 15. 103633–103633.
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Rakesh, Nitin, et al.. (2024). Cluster computing-based EEG sub-band signal extraction with channel-wise and time-slice-wise data partitioning technique. International Journal of Information Technology. 16(5). 2763–2773. 1 indexed citations
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Rakesh, Nitin, et al.. (2024). Development of Robotic Systems for Precision Tumor Resection. 1–9.
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Rakesh, Nitin, et al.. (2024). Engineering Smart Systems for Early Breast Cancer Detection. 1–10.
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Mohankumar, N., et al.. (2024). Analytical model for DG-AlGaN/GaN MOS-HEMT for sensitive analysis of pH analytes and charged biomolecules. Sensors International. 6. 100312–100312. 3 indexed citations
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Kumar, Sandeep, Nitin Rakesh, Yaodong Zhu, et al.. (2024). Integrative approach for efficient detection of kidney stones based on improved deep neural network architecture. SLAS TECHNOLOGY. 29(4). 100159–100159. 13 indexed citations
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Victor, Nancy, Praveen Kumar Reddy Maddikunta, Rajeswari Chengoden, et al.. (2024). Remote Sensing for Agriculture in the Era of Industry 5.0—A Survey. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 5920–5945. 40 indexed citations
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Kaur, Mandeep, et al.. (2024). Novel blockchain-based framework to publish, verify, and store digital academic credentials of universities. International Journal of Information Technology. 16(5). 3273–3281. 5 indexed citations
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Nand, Parma, Nitin Rakesh, Arun Prakash Agrawal, & Vishal Jain. (2023). Computational Intelligence Applications for Software Engineering Problems. Apple Academic Press eBooks. 2 indexed citations
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Kaur, Mandeep, et al.. (2022). Machine Learning Based Predicting Student’s Grade. 17. 234–237. 1 indexed citations
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Rakesh, Nitin & Vipin Tyagi. (2012). Failure recovery in XOR'ed networks. 1–6. 6 indexed citations
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Rakesh, Nitin & S. K. Srivatsa. (2011). A Study on Diverse Communication Protocols. Computational intelligence. 2. 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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2026