M. Rajmohan

431 total citations
41 papers, 210 citations indexed

About

M. Rajmohan is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, M. Rajmohan has authored 41 papers receiving a total of 210 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Electrical and Electronic Engineering, 6 papers in Computer Networks and Communications and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in M. Rajmohan's work include Smart Agriculture and AI (4 papers), Advanced Adaptive Filtering Techniques (3 papers) and Digital Filter Design and Implementation (3 papers). M. Rajmohan is often cited by papers focused on Smart Agriculture and AI (4 papers), Advanced Adaptive Filtering Techniques (3 papers) and Digital Filter Design and Implementation (3 papers). M. Rajmohan collaborates with scholars based in India, Oman and United States. M. Rajmohan's co-authors include S. Murugan, C. Srinivasan, H. Azath, V. Vaidehi, Meenakshi Ravindran, Paranthaman Vijayan, Suresh Sagadevan, M. Pallikonda Rajasekaran, N. Mohankumar and Chitra Sabapathy Ranganathan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Indonesian Journal of Electrical Engineering and Computer Science and The Applied Computational Electromagnetics Society Journal (ACES).

In The Last Decade

M. Rajmohan

29 papers receiving 204 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Rajmohan India 7 35 31 21 21 16 41 210
M. Vadivel India 9 66 1.9× 62 2.0× 17 0.8× 46 2.2× 24 1.5× 38 247
Christophe de Vaulx France 9 69 2.0× 34 1.1× 20 1.0× 23 1.1× 27 1.7× 21 182
C. Srinivasan India 11 16 0.5× 43 1.4× 21 1.0× 32 1.5× 11 0.7× 37 249
Rajashekarappa Rajashekarappa India 7 47 1.3× 60 1.9× 38 1.8× 39 1.9× 35 2.2× 12 213
Ganesh Khekare India 7 48 1.4× 61 2.0× 17 0.8× 19 0.9× 39 2.4× 33 180
M Ramesha India 9 67 1.9× 54 1.7× 39 1.9× 23 1.1× 14 0.9× 26 249
Amandeep Nagpal India 7 50 1.4× 45 1.5× 20 1.0× 26 1.2× 10 0.6× 53 185
Atul Deshmukh India 9 66 1.9× 101 3.3× 13 0.6× 14 0.7× 24 1.5× 29 194
Majid Ali Khan Saudi Arabia 8 35 1.0× 36 1.2× 22 1.0× 34 1.6× 51 3.2× 34 204
Sunny Dayal Vanambathina India 8 28 0.8× 60 1.9× 21 1.0× 66 3.1× 38 2.4× 18 268

Countries citing papers authored by M. Rajmohan

Since Specialization
Citations

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

Fields of papers citing papers by M. Rajmohan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Rajmohan

This figure shows the co-authorship network connecting the top 25 collaborators of M. Rajmohan. A scholar is included among the top collaborators of M. Rajmohan 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 M. Rajmohan. M. Rajmohan 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.
Mohankumar, N., et al.. (2025). Applying Johnson's Algorithm for Efficient Shortest Path Analysis in Big Data. 620–626. 1 indexed citations
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Rajmohan, M., et al.. (2024). Bayesian decision model based reliable route formation in internet of things. Indonesian Journal of Electrical Engineering and Computer Science. 34(3). 1665–1665. 22 indexed citations
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Ranganathan, Chitra Sabapathy, et al.. (2024). IoT-Driven Telepresence Robots for Telemedicine using AI for Improved Patient Interaction. 1–6. 1 indexed citations
8.
Ranganathan, Chitra Sabapathy, et al.. (2024). IoT Based Real-Time Moisture Management in Fabric Drying Processes. 1–6. 1 indexed citations
9.
Sagadevan, Suresh, et al.. (2024). Cloud-Based Predictive Modeling System for Radioactive Waste Behavior Using Bayesian Networks. 223–228. 11 indexed citations
10.
Rajasekaran, M. Pallikonda, et al.. (2024). Next-Gen Coaching: IoT and Linear Regression for Adaptive Training Load Management. 224–229. 1 indexed citations
11.
Azath, H., et al.. (2024). IoT-Enabled Black Box for Driver Behavior Analysis Using Cloud Computing. 34 indexed citations
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Ranganathan, Chitra Sabapathy, et al.. (2024). Cloud-Enabled K-Means Clustering for Advancing Wildlife Disease Surveillance and Outbreak Prediction. 1–6. 2 indexed citations
15.
Rajmohan, M., et al.. (2023). Memory controller optimization for high-speed operation. AIP conference proceedings. 2613. 20060–20060. 2 indexed citations
16.
Rajmohan, M., et al.. (2023). Impact of Cloud Computing on Agricultural Advancement using Data Mining Algorithms. 6. 1570–1575. 2 indexed citations
17.
Rajmohan, M., et al.. (2023). FIR filter design for advanced audio/video processing applications. AIP conference proceedings. 2613. 20057–20057. 1 indexed citations
18.
Rajmohan, M., et al.. (2023). IoT based Smart Agriculture Monitoring using Support Vector Machine. 1–6. 1 indexed citations
19.
Balamurugan, Murugesan, et al.. (2013). Combining AIET with chemotherapy - lessons learnt from our experience. SHILAP Revista de lepidopterología. 1 indexed citations
20.
Rajmohan, M., et al.. (2010). Study and Survey about Mixed Radix FFT Processor in MIMO OFDM. 2(1). 50–57.

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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