S Akshay

440 citations
48 papers · 213 · h-index 9

Impact in

Papers in

S Akshay

40 papers receiving 205 citations

Peers

S Akshay
Comparison fields: 5 of 74
  • Human-Computer Interaction 37
  • Computer Vision and Pattern Recognition 44
  • Ophthalmology 13
  • Radiology, Nuclear Medicine and Imaging 32
  • Media Technology 13
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Theekapun Charoenpong Thailand
Van-Thanh Hoang South Korea
M. Balasubramanian India
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Julius Schöning Germany
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Citations per field
00.5×3.3×
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Citations per year

Countries citing papers authored by S Akshay

Since Specialization
Citations

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

Fields of papers citing papers by S Akshay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside S Akshay, 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 S Akshay Line = papers co-authored together S Akshay 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 202030
2 202023
3 201920
4 202017
5 202016
6 201911
7
A survey on classification and clustering algorithms for uncompressed and compressed text
20159
8 20179
9 20219
10 20217
11 20176
12 20176
13 20165
14 20194
15 20174
16 20224
17 20223
18 20213
19 20222
20 20222

About S Akshay

S Akshay is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Electrical and Electronic Engineering, having authored 48 papers that have together received 213 indexed citations. Recurring topics across this work include Gaze Tracking and Assistive Technology (13 papers), Retinal Imaging and Analysis (7 papers), EEG and Brain-Computer Interfaces (5 papers), Smart Agriculture and AI (5 papers), Biometric Identification and Security (4 papers), Face recognition and analysis (4 papers), Face and Expression Recognition (3 papers) and Visual Attention and Saliency Detection (3 papers). The work is most often cited by research in Human-Computer Interaction (37 citations), Computer Vision and Pattern Recognition (44 citations), Ophthalmology (13 citations), Radiology, Nuclear Medicine and Imaging (32 citations) and Media Technology (13 citations). S Akshay has collaborated with scholars based in India, Germany and United Arab Emirates. Frequent co-authors include T. K. Ramesh, K. P. Soman, Kathiravan Srinivasan, Senthil Kumaran Selvaraj, Yuh‐Chung Hu, Ashwini Hegde, N Manohar, S. Sachin Kumar, Neethu Mohan and S. Karthika. Their work appears in journals such as Materials Research Express, International Journal of Applied Engineering Research, Advances in Materials and Processing Technologies, Biomedical Engineering Letters and Journal of Advanced Research in Dynamical and Control Systems.

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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