M. V. Subramanyam

520 total citations
52 papers, 307 citations indexed

About

M. V. Subramanyam is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, M. V. Subramanyam has authored 52 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Networks and Communications, 15 papers in Computer Vision and Pattern Recognition and 12 papers in Electrical and Electronic Engineering. Recurrent topics in M. V. Subramanyam's work include Mobile Ad Hoc Networks (14 papers), Wireless Networks and Protocols (7 papers) and Image and Signal Denoising Methods (7 papers). M. V. Subramanyam is often cited by papers focused on Mobile Ad Hoc Networks (14 papers), Wireless Networks and Protocols (7 papers) and Image and Signal Denoising Methods (7 papers). M. V. Subramanyam collaborates with scholars based in India, United States and South Korea. M. V. Subramanyam's co-authors include M. N. Giri Prasad, K. Satya Prasad, K. Sudhakar, N R Kuloor, Amit Kumar, P. Ramana Reddy, Pallapa Venkataram, N. S. Rajput, C. Shoba Bindu and Ashutosh Mishra and has published in prestigious journals such as Neural Computing and Applications, Journal of Medical Systems and Wireless Personal Communications.

In The Last Decade

M. V. Subramanyam

45 papers receiving 279 citations

Peers

M. V. Subramanyam
Comparison fields: 5 of 68
  • Artificial Intelligence 75
  • Electrical and Electronic Engineering 75
  • Control and Systems Engineering 71
  • Computer Vision and Pattern Recognition 66
  • Oncology 65
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Citations per field, relative to M. V. Subramanyam
M. V. Subramanyam · 1×
Citations per year, relative to M. V. Subramanyam
M. V. Subramanyam · 1×

Countries citing papers authored by M. V. Subramanyam

Since Specialization
Citations

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

Fields of papers citing papers by M. V. Subramanyam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. V. Subramanyam

This figure shows the co-authorship network connecting the top 25 collaborators of M. V. Subramanyam. A scholar is included among the top collaborators of M. V. Subramanyam 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. V. Subramanyam. M. V. Subramanyam 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
# Work Indexed citations
1 4
2 4
3 2
4 2
5 69
6
Automated control of valves and pump of a biodiesel plant
2
7 9
8 1
9 3
10 10
11 3
12
Effect of Carrier frequency on THD in - Closed Loop Control of 5-Level Multi-level Inverter fed 3 phase Induction Motor Drive
1
13 3
14
Performance Analysis of Chord Protocol for Peer to Peer Overlay Topology in Wireless Mesh Network
1
15 4
16 5
17 25
18 10
19 3
20 16

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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