M. Ramkumar

539 total citations
37 papers, 292 citations indexed

About

M. Ramkumar is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, M. Ramkumar has authored 37 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 6 papers in Computer Networks and Communications and 6 papers in Artificial Intelligence. Recurrent topics in M. Ramkumar's work include Advanced Steganography and Watermarking Techniques (6 papers), Chaos-based Image/Signal Encryption (6 papers) and IoT and Edge/Fog Computing (5 papers). M. Ramkumar is often cited by papers focused on Advanced Steganography and Watermarking Techniques (6 papers), Chaos-based Image/Signal Encryption (6 papers) and IoT and Edge/Fog Computing (5 papers). M. Ramkumar collaborates with scholars based in India, United States and Malaysia. M. Ramkumar's co-authors include Ali N. Akansu, T. Thamaraimanalan, C. Venkatesan, A. Aydın Alatan, N. Yuvaraj, R.G. Vidhya, J. Surendiran, Siddhartha Choubey, Apurv Verma and K. Vengatesan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Signal Processing and Materials Today Proceedings.

In The Last Decade

M. Ramkumar

32 papers receiving 269 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M. Ramkumar India	10	125	61	46	43	26	37	292
Ranjan Walia India	9	48 0.4×	46 0.8×	43 0.9×	20 0.5×	46 1.8×	37	228
Milan Tripathi Nepal	5	86 0.7×	78 1.3×	31 0.7×	20 0.5×	19 0.7×	7	248
G. Sajiv India	8	75 0.6×	53 0.9×	20 0.4×	27 0.6×	37 1.4×	55	263
P. Dayananda India	11	59 0.5×	73 1.2×	30 0.7×	24 0.6×	50 1.9×	54	286
Nidhi Sindhwani India	11	51 0.4×	57 0.9×	36 0.8×	61 1.4×	62 2.4×	39	262
Dweepna Garg India	9	59 0.5×	60 1.0×	32 0.7×	29 0.7×	21 0.8×	32	238
Kamlesh Lakhwani India	9	60 0.5×	43 0.7×	45 1.0×	33 0.8×	59 2.3×	34	271
L. Sujihelen India	8	102 0.8×	77 1.3×	33 0.7×	27 0.6×	48 1.8×	38	318
Majed Alsafyani Saudi Arabia	9	37 0.3×	84 1.4×	43 0.9×	34 0.8×	44 1.7×	29	241
Mudita Uppal India	11	49 0.4×	60 1.0×	50 1.1×	35 0.8×	74 2.8×	55	290

Countries citing papers authored by M. Ramkumar

Since Specialization

Citations

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

Fields of papers citing papers by M. Ramkumar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of M. Ramkumar. A scholar is included among the top collaborators of M. Ramkumar 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. Ramkumar. M. Ramkumar 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

Venkatesan, C., et al.. (2025). Enhancing Healthcare Monitoring through Wearable Computing and Massive MIMO Technology in 5G IoT Networks. International Research Journal of Multidisciplinary Technovation. 272–286.

Ramkumar, M., et al.. (2024). Design of Low Power Area Efficient 2D FIR Filter Using Optimized Multiplier and Adder for Speech Signal Analysis. Circuits Systems and Signal Processing. 44(2). 1138–1163. 2 indexed citations

Venkatesan, C., et al.. (2024). Performance Enhancement of IoT LoRa Network for Mobile Devices based on Improved AMILCC Technique. 1–5.

Ahmed, Nisar, et al.. (2023). A Hybrid Approach to Caprock Potential Assessment and Uncertainty Estimation: Bagging SVM and Random Forest. 1–7. 1 indexed citations

Sivaramkrishnan, M., et al.. (2022). Leaf disease identification using machine learning models. AIP conference proceedings. 2676. 50068–50068. 8 indexed citations

Ramkumar, M., et al.. (2022). GENE BICLUSTERING ON LARGE DATASETS USING FUZZY C-MEANS CLUSTERING. SHILAP Revista de lepidopterología. 12(2). 2578–2582. 1 indexed citations

Ramkumar, M., et al.. (2022). Deep Learning Approach for Radical Sound Valuation of Fetal Weight. ECS Transactions. 107(1). 2735–2747. 1 indexed citations

Surendiran, J., et al.. (2022). Classification of Diabetes using Multilayer Perceptron. 1–5. 36 indexed citations

Venkatesan, C., et al.. (2022). Efficient Machine Learning Technique for Tumor Classification Based on Gene Expression Data. 2022 8th International Conference on Advanced Computing and Communication Systems (ICACCS). 1982–1986. 48 indexed citations

10.

Ramkumar, M., et al.. (2021). IRIS DETECTION FOR BIOMETRIC PATTERN IDENTIFICATION USING DEEP LEARNING. SHILAP Revista de lepidopterología. 12(2). 2610–2614. 1 indexed citations

11.

Yuvaraj, N., et al.. (2021). Design of autonomous production using deep neural network for complex job. Materials Today Proceedings. 81. 957–961. 8 indexed citations

12.

Shukla, Abhay, et al.. (2021). Improved recognition rate of different material category using convolutional neural networks. Materials Today Proceedings. 81. 947–950. 9 indexed citations

13.

Divyapriya, S., et al.. (2020). IoT Enabled Drip Irrigation System with Weather Forecasting. 2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC). 86–89. 18 indexed citations

14.

Ramkumar, M., et al.. (2019). Cloud Data Center Based Dynamic Optimizing Replica Migration. Journal of Computational and Theoretical Nanoscience. 16(2). 576–579.

15.

Ramkumar, M., et al.. (2018). Achieving Efficient and Secure Data Acquisition for Cloud-Supported Internet of Things in Grid Connected Solar, Wind and Battery Systems. 10. 966–981. 5 indexed citations

16.

Ramkumar, M., et al.. (2014). REAL-TIME GESTURE BASED HUMAN COMPUTER INTERACTION FOR OFFICE APPLICATIONS. 2(1). 42–47. 1 indexed citations

17.

Ramkumar, M., et al.. (2012). Stereopsis Based Information Identification on Real World. Procedia Engineering. 38. 293–297. 1 indexed citations

18.

Ramkumar, M. & Ali N. Akansu. (2002). FFT based signaling for multimedia steganography. 4. 1979–1982. 5 indexed citations

19.

Akansu, Ali N., et al.. (2002). On-line music protection and MP3 compression. 21. 13–16. 9 indexed citations

20.

Ramkumar, M. & G. V. Anand. (1997). An FFT-based technique for fast fractal image compression. Signal Processing. 63(3). 263–268. 5 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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