Ayush Kumar

668 citations
44 papers · 329 · h-index 9

Impact in

Papers in

Ayush Kumar

40 papers receiving 313 citations

Peers

Ayush Kumar
Comparison fields: 5 of 70
  • Human-Computer Interaction 48
  • Computer Vision and Pattern Recognition 99
  • Artificial Intelligence 151
  • Signal Processing 41
  • Computer Networks and Communications 66
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Zhao Tian China
Shingchern D. You Taiwan
Urmila Shrawankar India
Eben Upton United Kingdom
Elliott Wen New Zealand
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Citations per field
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Citations per year

Countries citing papers authored by Ayush Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Ayush Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ayush Kumar, 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 Ayush Kumar Line = papers co-authored together Ayush Kumar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A Hybrid Deep Learning Architecture for Sentiment Analysis
201665
2 202244
3 201643
4 202216
5 201215
6 201912
7 201810
8 20169
9 20129
10 20198
11 20188
12 20197
13 20167
14 20197
15 20186
16 20186
17 20045
18 20144
19 20234
20 20164

About Ayush Kumar

Ayush Kumar is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Artificial Intelligence, Computer Networks and Communications and Signal Processing, having authored 44 papers that have together received 329 indexed citations. Recurring topics across this work include Gaze Tracking and Assistive Technology (10 papers), Data Visualization and Analytics (9 papers), Image and Signal Denoising Methods (6 papers), Advanced Image Processing Techniques (6 papers), Advanced Vision and Imaging (5 papers), Topic Modeling (5 papers), Advanced Steganography and Watermarking Techniques (3 papers) and IoT and Edge/Fog Computing (3 papers). The work is most often cited by research in Human-Computer Interaction (48 citations), Computer Vision and Pattern Recognition (99 citations), Artificial Intelligence (151 citations), Signal Processing (41 citations) and Computer Networks and Communications (66 citations). Ayush Kumar has collaborated with scholars based in India, United States and Netherlands. Frequent co-authors include Asif Ekbal, Michael Burch, Pushpak Bhattacharyya, Klaus Mueller, Teng Joon Lim, Chris Biemann, Daniel Weiskopf, Anil Kumar Tiwari, Vinit Jakhetiya and Sunil Jaiswal. Their work appears in journals such as IEEE Wireless Communications Letters, Computers in Biology and Medicine, Computers & Security, IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control and International Journal of Systems Assurance Engineering and Management.

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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