E. Srinivasan

843 citations
51 papers · 647 · h-index 12

Impact in

Papers in

E. Srinivasan

45 papers receiving 534 citations

Peers

E. Srinivasan
Comparison fields: 5 of 70
  • Media Technology 174
  • Computer Vision and Pattern Recognition 309
  • Artificial Intelligence 169
  • Human-Computer Interaction 28
  • Electrical and Electronic Engineering 190
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Biao Gong China
Bing Yu China
Chanho Jung South Korea
Fazal Ahmed Talukdar India
S. Huang United States
Shuxiang Song China
M. Hatamian United States
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Jooyoung Choi South Korea
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Citations per field
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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-authors

The 25 scholars most cited alongside E. Srinivasan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with E. Srinivasan Line = papers co-authored together E. Srinivasan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1
DIAGONAL BASED FEATURE EXTRACTION FOR HANDWRITTEN ALPHABETS RECOGNITION SYSTEM USING NEURAL NETWORK
201196
2 200877
3 201152
4 201150
5 199838
6 199735
7 199729
8 199629
9 201022
10 201215
11 200714
12 202313
13 201111
14 201411
15 200511
16 199710
17 201610
18 201410
19 20149
20 20169

About E. Srinivasan

E. Srinivasan is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Artificial Intelligence, Electrical and Electronic Engineering and Condensed Matter Physics, having authored 51 papers that have together received 647 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (8 papers), Image and Signal Denoising Methods (7 papers), Physics of Superconductivity and Magnetism (7 papers), Thin-Film Transistor Technologies (7 papers), Image Processing and 3D Reconstruction (7 papers), Handwritten Text Recognition Techniques (6 papers), Silicon Nanostructures and Photoluminescence (6 papers) and Neural Networks and Applications (6 papers). The work is most often cited by research in Media Technology (174 citations), Computer Vision and Pattern Recognition (309 citations), Artificial Intelligence (169 citations), Human-Computer Interaction (28 citations) and Electrical and Electronic Engineering (190 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, K. Ramar, S. Uthayakumar, C. Subramanian, R. Jayavel and Laura L. Smith. Their work appears in journals such as Physica C Superconductivity, Journal of Vacuum Science & Technology A Vacuum Surfaces and Films, Journal of Applied Physics, Journal of Crystal Growth and Indian Journal of Science and Technology.

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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