R. Manikandan

3.9k total citations · 3 hit papers
148 papers, 2.2k citations indexed

About

R. Manikandan is a scholar working on Artificial Intelligence, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, R. Manikandan has authored 148 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Artificial Intelligence, 39 papers in Computer Networks and Communications and 33 papers in Electrical and Electronic Engineering. Recurrent topics in R. Manikandan's work include IoT and Edge/Fog Computing (17 papers), COVID-19 diagnosis using AI (15 papers) and Brain Tumor Detection and Classification (11 papers). R. Manikandan is often cited by papers focused on IoT and Edge/Fog Computing (17 papers), COVID-19 diagnosis using AI (15 papers) and Brain Tumor Detection and Classification (11 papers). R. Manikandan collaborates with scholars based in India, Australia and United States. R. Manikandan's co-authors include Jafar A. Alzubi, Amir H. Gandomi, Rizwan Patan, Omar A. Alzubi, Ramesh Sekaran, Deepak Gupta, Ambeshwar Kumar, Ashish Singh, Ashish Khanna and Fadi Al‐Turjman and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Expert Systems with Applications.

In The Last Decade

R. Manikandan

138 papers receiving 2.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Cloud-IIoT-Based Electronic Health Record Privacy-Preserving by CNN and Blockchain-Enabled Federated Learning

2022 118 citations R. Manikandan et al. profile →
Classification models combined with Boruta feature selection for heart disease prediction

2024 54 citations R. Manikandan, Amir H. Gandomi et al. Informatics in Medicine Unlocked profile →
Deep learning for enhanced brain Tumor Detection and classification

2024 54 citations Ambeshwar Kumar, R. Manikandan et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
R. Manikandan India	27	687	585	388	328	327	148	2.2k
Piyush Kumar Shukla India	30	842 1.2×	587 1.0×	369 1.0×	455 1.4×	515 1.6×	181	2.8k
Atta Rahman Saudi Arabia	28	761 1.1×	540 0.9×	389 1.0×	289 0.9×	328 1.0×	163	2.4k
M. Irfan Uddin Pakistan	25	784 1.1×	412 0.7×	397 1.0×	275 0.8×	425 1.3×	130	2.2k
Sachin Kumar India	25	1.0k 1.5×	563 1.0×	459 1.2×	527 1.6×	447 1.4×	122	3.1k
Bhisham Sharma India	27	554 0.8×	875 1.5×	770 2.0×	221 0.7×	350 1.1×	106	2.2k
Hela Elmannai Saudi Arabia	22	546 0.8×	383 0.7×	282 0.7×	190 0.6×	266 0.8×	104	1.6k
Senthilkumar Mohan India	29	1.2k 1.8×	489 0.8×	573 1.5×	376 1.1×	337 1.0×	69	3.0k
Mohammad Shorfuzzaman Saudi Arabia	28	714 1.0×	351 0.6×	346 0.9×	443 1.4×	510 1.6×	108	2.3k
Achyut Shankar India	30	624 0.9×	651 1.1×	501 1.3×	175 0.5×	486 1.5×	181	2.5k
Dharmendra Singh Rajput India	17	776 1.1×	298 0.5×	246 0.6×	223 0.7×	290 0.9×	95	2.1k

Countries citing papers authored by R. Manikandan

Since Specialization

Citations

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

Fields of papers citing papers by R. Manikandan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Manikandan

This figure shows the co-authorship network connecting the top 25 collaborators of R. Manikandan. A scholar is included among the top collaborators of R. Manikandan 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 R. Manikandan. R. Manikandan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Singh, Harsh Vikram, et al.. (2025). Interactive cardiovascular disease prediction system using learning techniques: Insights from extensive experiments. Results in Control and Optimization. 19. 100560–100560.

Kande, Giri Babu, et al.. (2025). Multi scale multi attention network for blood vessel segmentation in fundus images. Scientific Reports. 15(1). 3438–3438. 4 indexed citations

Manikandan, R., et al.. (2024). Efficiency-Driven Custom Chatbot Development: Unleashing LangChain, RAG, and Performance-Optimized LLM Fusion. Computers, materials & continua/Computers, materials & continua (Print). 80(2). 2423–2442. 8 indexed citations

Manikandan, R., et al.. (2024). Enhancing Blockchain-Based Access Control in Cloud Computing with Machine Learning Techniques. 1–5.

Sharma, Girish, et al.. (2024). Pattern Recognition Based Skin Lesion Stage Analysis Using IoT. SN Computer Science. 5(5). 1 indexed citations

Srıdevı, M., et al.. (2023). Optimizing brain tumor classification with hybrid CNN architecture: Balancing accuracy and efficiency through oneAPI optimization. Informatics in Medicine Unlocked. 44. 101436–101436. 16 indexed citations

Ahmed, Syed Thouheed, Syed Muzamil Basha, R. Manikandan, Mahmoud Daneshmand, & Amir H. Gandomi. (2023). An Edge-AI-Enabled Autonomous Connected Ambulance-Route Resource Recommendation Protocol (ACA-R3) for eHealth in Smart Cities. IEEE Internet of Things Journal. 10(13). 11497–11506. 14 indexed citations

Manikandan, R., et al.. (2023). Energy Analysis-Based Cyber Attack Detection by IoT with Artificial Intelligence in a Sustainable Smart City. Sustainability. 15(7). 6031–6031. 14 indexed citations

Sekaran, Ramesh, et al.. (2022). Nonlinear Cosine Neighborhood Time Series‐Based Deep Learning for the Prediction and Analysis of COVID‐19 in India. Wireless Communications and Mobile Computing. 2022(1). 2 indexed citations

10.

Jawahar, Malathy, et al.. (2022). CovMnet–Deep Learning Model for classifying Coronavirus (COVID-19). Health and Technology. 12(5). 1009–1024. 12 indexed citations

11.

Sekaran, Ramesh, et al.. (2021). Ant colony resource optimization for Industrial IoT and CPS. International Journal of Intelligent Systems. 37(12). 10513–10532. 9 indexed citations

12.

Jawahar, Malathy, et al.. (2021). Diagnosis of COVID-19 using Optimized PCA based Local Binary Pattern Features. International Journal of Current Research and Review. 37–41. 6 indexed citations

13.

Latha, R.S., et al.. (2020). Implementation of Artificial Fish Swarm Optimization for Cardiovascular Heart Disease. International Journal of Recent Technology and Engineering (IJRTE). 8(4S5). 134–136. 29 indexed citations

14.

Sekaran, Ramesh, et al.. (2020). Survival Study on Blockchain Based 6G-Enabled Mobile Edge Computation for IoT Automation. IEEE Access. 8. 143453–143463. 67 indexed citations

15.

Krishankumar, R., et al.. (2019). A novel extension to VIKOR method under intuitionistic fuzzy context for solving personnel selection problem. Soft Computing. 24(2). 1063–1081. 58 indexed citations

16.

Kumar, Ambeshwar, et al.. (2019). A deep neural network based classifier for brain tumor diagnosis. Applied Soft Computing. 82. 105528–105528. 29 indexed citations

17.

Manikandan, R., et al.. (2017). Automatic Accident Detection, Ambulance Rescue and Traffic Signal Controller. International Journal For Science Technology And Engineering. 3(9). 244–250. 2 indexed citations

18.

Manikandan, R., et al.. (2013). Link-Utility-Based Improved Backoff Cooperative MAC Protocol for MANET. International Review on Computers and Software (IRECOS). 8(7). 1613–1623.

19.

Manikandan, R., et al.. (2012). Deterministic and probabilistic models on VLSI cell placement - A survey. Journal of Theoretical and Applied Information Technology. 37. 1 indexed citations

20.

Manikandan, R., et al.. (2010). Application of Hypergraph in VLSI Cell Partitioning. SSRN Electronic Journal.

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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