E. Srinivasan

709 citations
48 papers · 506 indexed · h-index 12
Topics
Image Retrieval and Classification Techniques (8 papers)Physics of Superconductivity and Magnetism (7 papers)Image and Signal Denoising Methods (6 papers)
Partner nations
IndiaUnited StatesJapan

In The Last Decade

E. Srinivasan

43 papers receiving 435 citations

Peers

E. Srinivasan
Comparison fields: 5 of 65
  • Computer Vision and Pattern Recognition 194
  • Electrical and Electronic Engineering 183
  • Materials Chemistry 125
  • Artificial Intelligence 121
  • Media Technology 104
Replace Biao Gong with:
Biao Gong China
Daniel Vaquero United States
S. Huang United States
Jooyoung Choi South Korea
Lin Cao China
Heng Liu China
M. Hatamian United States
Trung Thanh Ngo Japan
Vineet Sahula India
N. Arumugam United States
E. Srinivasan relative to Biao Gong China Biao Gong's profile →
Citations per field
00.5×10×20×28×
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Citations per year

Countries citing papers authored by E. Srinivasan

Since Specialization
Citations

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

Fields of papers citing papers by E. Srinivasan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E. Srinivasan

This figure shows the co-authorship network connecting the top 25 collaborators of E. Srinivasan. A scholar is included among the top collaborators of E. Srinivasan 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 E. Srinivasan. E. Srinivasan 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
#WorkIndexed citations
1 1
2 0
3 11
4 8
5 2
6 7
7 5
8 6
9 0
10 41
11
Decision Based Switching Median Filtering Technique for Image Denoising
6
12 72
13 14
14 9
15 1
16 1
17 5
18 3
19 38
20 10

About E. Srinivasan

E. Srinivasan is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Condensed Matter Physics, having authored 48 papers that have together received 506 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (8 papers), Physics of Superconductivity and Magnetism (7 papers) and Image and Signal Denoising Methods (6 papers). The work is most often cited by research in Media Technology (104 citations), Computer Vision and Pattern Recognition (194 citations) and Artificial Intelligence (121 citations). E. Srinivasan has collaborated with scholars based in India, United States and Japan. Frequent co-authors include S. Himavathi, Gregory N. Parsons, A. Muthuramalingam, Hong Yang, D. D. Ebenezer, R. Jayavel, C. Subramanian, S. Uthayakumar, A. Suruliandi and K. Ramar. Their work appears in journals such as The Journal of Chemical Physics, Applied Physics Letters and Journal of Applied Physics.

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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