M. Subramaniam

414 total citations
26 papers, 241 citations indexed

About

M. Subramaniam is a scholar working on Artificial Intelligence, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, M. Subramaniam has authored 26 papers receiving a total of 241 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 12 papers in Computer Networks and Communications and 5 papers in Electrical and Electronic Engineering. Recurrent topics in M. Subramaniam's work include Target Tracking and Data Fusion in Sensor Networks (4 papers), Mobile Ad Hoc Networks (3 papers) and Artificial Intelligence in Healthcare (3 papers). M. Subramaniam is often cited by papers focused on Target Tracking and Data Fusion in Sensor Networks (4 papers), Mobile Ad Hoc Networks (3 papers) and Artificial Intelligence in Healthcare (3 papers). M. Subramaniam collaborates with scholars based in India, Canada and United States. M. Subramaniam's co-authors include K Ananthajothi, T. Kirubarajan, Ratnasingham Tharmarasa, S. N. Kramer, Nandakumaran Nadarajah, Michael McDonald, Alagan Anpalagan, Kathirvel Ayyaswamy, Elankovan Sundararajan and M. Pelletier and has published in prestigious journals such as IEEE Transactions on Aerospace and Electronic Systems, Computers & Mathematics with Applications and Journal of Mechanical Design.

In The Last Decade

M. Subramaniam

25 papers receiving 224 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. Subramaniam India 9 92 88 53 36 30 26 241
Heng Chen China 10 77 0.8× 68 0.8× 37 0.7× 14 0.4× 13 0.4× 41 242
Yixuan Wu China 7 160 1.7× 201 2.3× 58 1.1× 18 0.5× 38 1.3× 16 292
Meejoung Kim South Korea 12 73 0.8× 206 2.3× 161 3.0× 45 1.3× 18 0.6× 31 349
Alei Liang China 10 74 0.8× 159 1.8× 76 1.4× 33 0.9× 16 0.5× 40 314
Fuxiao Tan China 10 58 0.6× 121 1.4× 65 1.2× 40 1.1× 80 2.7× 36 292
Antti Anttonen Finland 12 46 0.5× 196 2.2× 206 3.9× 103 2.9× 21 0.7× 36 379
Ning Xin China 11 47 0.5× 147 1.7× 109 2.1× 100 2.8× 38 1.3× 33 314

Countries citing papers authored by M. Subramaniam

Since Specialization
Citations

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

Fields of papers citing papers by M. Subramaniam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of M. Subramaniam. A scholar is included among the top collaborators of M. Subramaniam 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. Subramaniam. M. Subramaniam 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.
2.
Subramaniam, M., et al.. (2023). Gradient Adaptive Planar Prediction for High-Fidelity Images. 1–6. 5 indexed citations
3.
Subramaniam, M., et al.. (2022). A new design of multimedia big data retrieval enabled by deep feature learning and Adaptive Semantic Similarity Function. Multimedia Systems. 28(3). 1039–1058. 7 indexed citations
4.
Subramaniam, M., et al.. (2022). A Hybrid Intelligent Clustering Model for Tackling Incomplete Mixed Data Using Heuristic Algorithm with Artificial Intelligence. Cybernetics & Systems. 55(5). 1005–1040. 1 indexed citations
5.
Subramaniam, M., et al.. (2021). Semantic Conceptual Relational Similarity Based Web Document Clustering for Efficient Information Retrieval Using Semantic Ontology. KSII Transactions on Internet and Information Systems. 15(9). 2 indexed citations
6.
Subramaniam, M., et al.. (2021). Modified Firefly Algorithm and Fuzzy C-Mean Clustering Based Semantic Information Retrieval. Journal of Web Engineering. 6 indexed citations
7.
Ananthajothi, K & M. Subramaniam. (2019). CLDC: Efficient Classification of Medical Data Using Class Level Disease Convergence Divergence Measure. International Journal of Innovative Technology and Exploring Engineering. 8(10). 2256–2262. 13 indexed citations
8.
Ananthajothi, K & M. Subramaniam. (2018). Multi level incremental influence measure based classification of medical data for improved classification. Cluster Computing. 22(S6). 15073–15080. 11 indexed citations
9.
Subramaniam, M., et al.. (2018). Intelligent ontology based semantic information retrieval using feature selection and classification. Cluster Computing. 22(S5). 12871–12881. 30 indexed citations
10.
Subramaniam, M., et al.. (2015). Temporary Redundant Transmission Mechanism for SCTP Multihomed Hosts. The Scientific World JOURNAL. 2015(1). 158697–158697. 2 indexed citations
11.
Ayyaswamy, Kathirvel, et al.. (2015). A unified approach for detecting and eliminating selfish nodes in MANETs using TBUT. EURASIP Journal on Wireless Communications and Networking. 2015(1). 21 indexed citations
12.
Anita, E. A. Mary, et al.. (2014). A New Compact Microstrip Integrated E-Array Patch Antenna with High Gain and High Aperture Efficiency. Wireless Personal Communications. 78(2). 1011–1020. 2 indexed citations
13.
Subramaniam, M. & D. Manjula. (2012). Multipath state aware concurrent multipath transfer using redundant transmission for multi-homed hosts. International Journal of Internet Protocol Technology. 7(2). 120–120. 1 indexed citations
14.
Tharmarasa, Ratnasingham, M. Subramaniam, Nandakumaran Nadarajah, T. Kirubarajan, & Michael McDonald. (2012). Multitarget Passive Coherent Location with Transmitter-Origin and Target-Altitude Uncertainties. IEEE Transactions on Aerospace and Electronic Systems. 48(3). 2530–2550. 39 indexed citations
15.
Subramaniam, M., Kumaradevan Punithakumar, Ratnasingham Tharmarasa, Michael McDonald, & T. Kirubarajan. (2011). Performance evaluations of multipath multitarget tracking using PCRLB. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8137. 813714–813714. 3 indexed citations
16.
Subramaniam, M., Ratnasingham Tharmarasa, M. McDonald, & T. Kirubarajan. (2010). Multipath-assisted multitarget tracking with reflection point uncertainty. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7698. 76981A–76981A. 4 indexed citations
17.
Subramaniam, M. & Alagan Anpalagan. (2004). A pilot power based power control (PPBPC) and base station assignment algorithm in cellular CDMA networks. 3. 327–332. 7 indexed citations
18.
19.
Sundararajan, Elankovan, et al.. (2001). The D'Yakonov fully explicit variant of the iterative decomposition method. Computers & Mathematics with Applications. 42(10-11). 1485–1496. 10 indexed citations
20.
Subramaniam, M. & S. N. Kramer. (1992). The Inverse Kinematic Solution of the Tetrahedron Based Variable-Geometry Truss Manipulator. Journal of Mechanical Design. 114(3). 433–437. 22 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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