Senthilkumar Mohan

4.8k total citations · 2 hit papers
69 papers, 3.0k citations indexed

About

Senthilkumar Mohan is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Senthilkumar Mohan has authored 69 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 17 papers in Information Systems and 12 papers in Computer Networks and Communications. Recurrent topics in Senthilkumar Mohan's work include COVID-19 diagnosis using AI (9 papers), IoT and Edge/Fog Computing (6 papers) and Artificial Intelligence in Healthcare (5 papers). Senthilkumar Mohan is often cited by papers focused on COVID-19 diagnosis using AI (9 papers), IoT and Edge/Fog Computing (6 papers) and Artificial Intelligence in Healthcare (5 papers). Senthilkumar Mohan collaborates with scholars based in India, Malaysia and Cyprus. Senthilkumar Mohan's co-authors include Gautam Srivastava, Chandrasegar Thirumalai, Ali Ahmadian, Celestine Iwendi, A John, Vedika Gupta, Aaqif Afzaal Abbasi, Jafar A. Alzubi, Mehdi Gheisari and Narjes Nabipour and has published in prestigious journals such as IEEE Access, IEEE Transactions on Industrial Informatics and Applied Soft Computing.

In The Last Decade

Senthilkumar Mohan

68 papers receiving 2.8k citations

Hit Papers

Effective Heart Disease Prediction Using Hybrid Machine L... 2019 2026 2021 2023 2019 2021 250 500 750 1000
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.

  1. Effective Heart Disease Prediction Using Hybrid Machine Learning Techniques
    2019 1.1k citations Senthilkumar Mohan, Gautam Srivastava et al. profile →
  2. Artificial neural networks training algorithm integrating invasive weed optimization with differential evolutionary model
    2021 219 citations Senthilkumar Mohan et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Senthilkumar Mohan India 29 1.2k 1.0k 573 489 376 69 3.0k
Amin Ul Haq China 25 1.1k 0.9× 913 0.9× 413 0.7× 266 0.5× 501 1.3× 106 2.7k
Aditya Khamparia India 27 1.2k 1.0× 445 0.4× 477 0.8× 427 0.9× 661 1.8× 94 3.0k
Usman Qamar Pakistan 27 1.3k 1.0× 396 0.4× 915 1.6× 310 0.6× 204 0.5× 141 2.5k
Rahul Katarya India 25 1.0k 0.8× 253 0.2× 715 1.2× 335 0.7× 315 0.8× 142 2.3k
Muhammad Umer Pakistan 30 1.1k 0.9× 275 0.3× 436 0.8× 275 0.6× 353 0.9× 115 2.5k
Amjad Ali Pakistan 22 643 0.5× 374 0.4× 338 0.6× 547 1.1× 189 0.5× 90 2.3k
Saleem Ullah Pakistan 28 1.3k 1.0× 240 0.2× 553 1.0× 217 0.4× 396 1.1× 71 2.9k
Rajesh Kaluri India 21 869 0.7× 282 0.3× 366 0.6× 649 1.3× 239 0.6× 48 2.4k
Sonali Agarwal India 24 998 0.8× 362 0.4× 464 0.8× 382 0.8× 232 0.6× 144 2.3k
Dharmendra Singh Rajput India 17 776 0.6× 271 0.3× 246 0.4× 298 0.6× 223 0.6× 95 2.1k

Countries citing papers authored by Senthilkumar Mohan

Since Specialization
Citations

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

Fields of papers citing papers by Senthilkumar Mohan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Senthilkumar Mohan

This figure shows the co-authorship network connecting the top 25 collaborators of Senthilkumar Mohan. A scholar is included among the top collaborators of Senthilkumar Mohan 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 Senthilkumar Mohan. Senthilkumar Mohan 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
1.
Quadir, Abdul, et al.. (2024). Acoustic feature-based emotion recognition and curing using ensemble learning and CNN. Applied Soft Computing. 166. 112151–112151. 1 indexed citations
2.
Hai, Tao, et al.. (2024). CIA Security for Internet of Vehicles and Blockchain-AI Integration. Journal of Grid Computing. 22(2). 5 indexed citations
3.
Mohan, Senthilkumar, et al.. (2024). Farmers Awareness and Perception of Drone Technology. Journal of Experimental Agriculture International. 46(10). 426–435. 1 indexed citations
4.
Quadir, Abdul, et al.. (2023). Deep Reinforcement Learning for Vision-Based Navigation of UAVs in Avoiding Stationary and Mobile Obstacles. Drones. 7(4). 245–245. 38 indexed citations
5.
Quadir, Abdul, et al.. (2023). Machine-Learning-Based Diabetes Mellitus Risk Prediction Using Multi-Layer Neural Network No-Prop Algorithm. Diagnostics. 13(4). 723–723. 19 indexed citations
6.
Mohan, Senthilkumar, et al.. (2023). Deep Convolutional Generative Adversarial Networks for Automated Segmentation and Detection of Lung Adenocarcinoma Using Red Deer Optimization Algorithm. Information Technology And Control. 52(3). 680–692. 3 indexed citations
7.
Kashyap, Ramgopal, et al.. (2023). Analysis of Deep Learning Methods for Healthcare Sector - Medical Imaging Disease Detection. Contemporary Mathematics. 830–852. 2 indexed citations
8.
Mohan, Senthilkumar, et al.. (2023). Skin Cancer Segmentation Based on Triangular Intuitionistic Fuzzy Sets. SN Computer Science. 4(3). 2 indexed citations
9.
Mohan, Senthilkumar, et al.. (2023). Correction: Skin Cancer Segmentation Based on Triangular Intuitionistic Fuzzy Sets. SN Computer Science. 4(3). 2 indexed citations
10.
Mohan, Senthilkumar, et al.. (2023). Forest Fire Identification in UAV Imagery Using X-MobileNet. Electronics. 12(3). 733–733. 40 indexed citations
11.
Quadir, Abdul, et al.. (2023). Enhanced Preprocessing Approach Using Ensemble Machine Learning Algorithms for Detecting Liver Disease. Biomedicines. 11(2). 581–581. 55 indexed citations
12.
Quadir, Abdul, et al.. (2023). Novel framework based on ensemble classification and secure feature extraction for COVID-19 critical health prediction. Engineering Applications of Artificial Intelligence. 126. 107156–107156. 3 indexed citations
13.
Iwendi, Celestine, Senthilkumar Mohan, Suleman Khan, et al.. (2022). Covid-19 fake news sentiment analysis. Computers & Electrical Engineering. 101. 107967–107967. 68 indexed citations
14.
Amin, Rashid, et al.. (2022). Cloud-based email phishing attack using machine and deep learning algorithm. Complex & Intelligent Systems. 9(3). 3043–3070. 57 indexed citations
15.
Singh, Karan, Mohd Hilmi Hasan, Khaleel Ahmad, et al.. (2021). ETERS: A comprehensive energy aware trust-based efficient routing scheme for adversarial WSNs. Future Generation Computer Systems. 125. 921–943. 64 indexed citations
16.
Suresh, P., et al.. (2021). Field-programmable gate arrays in a low power vision system. Computers & Electrical Engineering. 90. 106996–106996. 17 indexed citations
17.
Balamurugan, M., Senthilkumar Mohan, M. Adimoolam, et al.. (2021). DOA tracking for seamless connectivity in beamformed IoT-based drones. Computer Standards & Interfaces. 79. 103564–103564. 32 indexed citations
18.
Jain, Nikita, Harshit Garg, Vedika Gupta, et al.. (2021). Prediction modelling of COVID using machine learning methods from B-cell dataset. Results in Physics. 21. 103813–103813. 53 indexed citations
19.
Paramasivam, Ilango & Senthilkumar Mohan. (2020). Energy aware task scheduling using hybrid firefly - GA in big data. International Journal of Advanced Intelligence Paradigms. 16(2). 99–99. 1 indexed citations
20.
Mohan, Senthilkumar, et al.. (1981). Justice triumphs : (a comparative study on the independence of the judiciary). 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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