A. Murugan

705 total citations
24 papers, 462 citations indexed

About

A. Murugan is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Plant Science. According to data from OpenAlex, A. Murugan has authored 24 papers receiving a total of 462 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Computational Theory and Mathematics and 5 papers in Plant Science. Recurrent topics in A. Murugan's work include Data Mining Algorithms and Applications (4 papers), DNA and Biological Computing (3 papers) and Rough Sets and Fuzzy Logic (3 papers). A. Murugan is often cited by papers focused on Data Mining Algorithms and Applications (4 papers), DNA and Biological Computing (3 papers) and Rough Sets and Fuzzy Logic (3 papers). A. Murugan collaborates with scholars based in India, Chile and Saudi Arabia. A. Murugan's co-authors include Sanjay Nair, K. P. Sanal Kumar, K. Ganesh, P. Srinivasan, K. Suganya Devi, P. Sundaramoorthy, L. Baskaran, Arunraj Chidambaram, K. S. Easwarakumar and Ganesan Subramanian and has published in prestigious journals such as Journal of Physics and Chemistry of Solids, Multimedia Tools and Applications and Journal of Medical Systems.

In The Last Decade

A. Murugan

21 papers receiving 433 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
A. Murugan India	8	218	200	73	72	50	24	462
Antesar Shabut United Kingdom	9	179 0.8×	223 1.1×	58 0.8×	73 1.0×	11 0.2×	14	433
Sanjay Nair India	5	202 0.9×	195 1.0×	55 0.8×	70 1.0×	8 0.2×	18	365
Ritesh Maurya India	11	142 0.7×	59 0.3×	58 0.8×	31 0.4×	41 0.8×	37	337
Zeeshan Abbas South Korea	14	98 0.4×	50 0.3×	77 1.1×	25 0.3×	45 0.9×	34	508
Kangkana Bora India	11	302 1.4×	59 0.3×	159 2.2×	86 1.2×	83 1.7×	31	511
Masum Shah Junayed Türkiye	10	66 0.3×	57 0.3×	121 1.7×	32 0.4×	16 0.3×	26	340
Yiping Jiao China	10	125 0.6×	43 0.2×	35 0.5×	30 0.4×	24 0.5×	39	405
Talha Anwar Pakistan	10	90 0.4×	35 0.2×	18 0.2×	17 0.2×	12 0.2×	26	291
Sukhpreet Kaur India	9	108 0.5×	27 0.1×	42 0.6×	18 0.3×	10 0.2×	30	352
Kyamelia Roy India	8	43 0.2×	32 0.2×	42 0.6×	11 0.2×	113 2.3×	19	264

Countries citing papers authored by A. Murugan

Since Specialization

Citations

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

Fields of papers citing papers by A. Murugan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Murugan

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

Dineshbabu, N., A. Manikandan, A. Murugan, et al.. (2025). Magnetically retrievable Z-scheme binary NiFe2O4/g-C3N4 nanocomposites for photocatalytic dye degradation application. Journal of Materials Science Materials in Electronics. 36(8). 4 indexed citations

Murugan, A., et al.. (2025). Transformative Impact of Artificial Machine Intelligence in Pharmaceutical Research and Development. 3(1). 8–16.

Murugan, A., et al.. (2025). Instrumentation for Robotics and Automation: Innovations, Challenges, and Future Directions. 127–133. 1 indexed citations

Murugan, A., et al.. (2024). Harnessing the synergistic effect of CuO@Fe3O4/n-Si for high-efficiency photodiodes. Journal of Physics and Chemistry of Solids. 196. 112359–112359. 4 indexed citations

Bharathkumar, S., et al.. (2024). Z-scheme configured iron oxide/g-C3N4 nanocomposite system for solar-driven H2 production through water splitting. 190. 206915–206915. 2 indexed citations

Murugan, A., et al.. (2021). An Overview of Various Computer Vision-based Grading System for Various Agricultural Products. The Journal of Horticultural Science and Biotechnology. 97(2). 137–159. 19 indexed citations

Murugan, A., et al.. (2020). Diagnosis of skin cancer using machine learning techniques. Microprocessors and Microsystems. 81. 103727–103727. 98 indexed citations

Murugan, A., Sanjay Nair, & K. P. Sanal Kumar. (2019). Detection of Skin Cancer Using SVM, Random Forest and kNN Classifiers. Journal of Medical Systems. 43(8). 269–269. 183 indexed citations

Murugan, A., et al.. (2019). Research on SVM and KNN Classifiers for Skin Cancer Detection. International Journal of Engineering and Advanced Technology. 9(2). 4627–4632. 6 indexed citations

10.

Murugan, A., et al.. (2019). CashNet-15:An Optimized Cashew Nut Grading Using Deep CNN and Data Augmentation. 1–5. 8 indexed citations

11.

Murugan, A., et al.. (2018). A study on various methods used for video summarization and moving object detection for video surveillance applications. Multimedia Tools and Applications. 77(18). 23273–23290. 33 indexed citations

12.

Murugan, A., et al.. (2018). An Improvised Algorithm For Computer Vision Based Cashew Grading System Using Deep CNN. 3. 1–5. 7 indexed citations

13.

Murugan, A., et al.. (2014). An enhanced feature selection method comprising rough set and clustering techniques. 68 3. 1–4. 3 indexed citations

14.

Murugan, A., et al.. (2014). A Novel Feature Selection Method for Effective Breast Cancer Diagnosis and Prognosis. International Journal of Computer Applications. 88(11). 28–33. 21 indexed citations

15.

Murugan, A., et al.. (2014). An Intelligent Classifier for Breast Cancer Diagnosis based on K-Means Clustering and Rough Set. International Journal of Computer Applications. 85(11). 38–42. 19 indexed citations

16.

Murugan, A.. (2013). DISCOVERY of LONGEST INCREASING SUBSEQUENCES and its VARIANTS using DNA OPERATIONS.

17.

Chidambaram, Arunraj, P. Sundaramoorthy, A. Murugan, K. Ganesh, & L. Baskaran. (2009). CHROMIUM INDUCED CYTOTOXICITY IN BLACKGRAM (VIGNA MUNGO L.). TSpace. 6(1). 17–22. 32 indexed citations

18.

Murugan, A. & K. S. Easwarakumar. (2007). DNA algorithms for fractal construction—an application of theSInsDelPsystem. International Journal of Computer Mathematics. 84(4). 437–450.

19.

Murugan, A., et al.. (2006). Effect of chromium on growth and cell division of blackgram [Vigna mungo (L.) Hepper].. PLANT ARCHIVES. 6(2). 763–766. 5 indexed citations

20.

Murugan, A. & K. S. Easwarakumar. (2006). Possibilities of constructing two dimensional pictures in DNA computing: Part II. International Journal of Computer Mathematics. 83(1). 1–20. 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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