E. Srinivasan

43 papers receiving 435 citations

Peers

E. Srinivasan
Comparison fields: 5 of 65
  • Media Technology 104
  • Computer Vision and Pattern Recognition 194
  • Artificial Intelligence 121
  • Electrical and Electronic Engineering 183
  • Human-Computer Interaction 15
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×
Biao Gong · 1×
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 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200872
2 201143
3 201141
4 199838
5 199735
6 199728
7 199628
8 201015
9 200714
10 201214
11 202311
12 200511
13 201411
14 199710
15 20029
16 20169
17 20169
18 20149
19 20178
20 20118

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 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), Image Processing and 3D Reconstruction (6 papers), Neural Networks and Applications (6 papers), AI in cancer detection (6 papers), Silicon Nanostructures and Photoluminescence (6 papers), Thin-Film Transistor Technologies (6 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), Artificial Intelligence (121 citations), Electrical and Electronic Engineering (183 citations) and Human-Computer Interaction (15 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, S. Uthayakumar, R. Jayavel, C. Subramanian, A. Suruliandi and Laura L. Smith. Their work appears in journals such as Physica C Superconductivity, Journal of Applied Physics, Journal of Vacuum Science & Technology A Vacuum Surfaces and Films, International Journal of Materials Research (formerly Zeitschrift fuer Metallkunde) and Applied Physics Letters.

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.

Explore authors with similar magnitude of impact