Samit Bhattacharya

1.0k citations
56 papers · 631 · h-index 12

Impact in

Papers in

Samit Bhattacharya

50 papers receiving 606 citations

Peers

Samit Bhattacharya
Comparison fields: 5 of 70
  • Human-Computer Interaction 210
  • Experimental and Cognitive Psychology 235
  • Cognitive Neuroscience 328
  • Occupational Therapy 38
  • Human Factors and Ergonomics 23
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Citations per field
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Citations per year

Countries citing papers authored by Samit Bhattacharya

Since Specialization
Citations

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

Fields of papers citing papers by Samit Bhattacharya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Samit Bhattacharya, 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 Samit Bhattacharya Line = papers co-authored together Samit Bhattacharya links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Using Deep and Convolutional Neural Networks for Accurate Emotion Classification on DEAP Dataset.
2017149
2 2017135
3 202431
4 200825
5 201516
6 200916
7
Inflectional morphology synthesis for Bengali noun, pronoun and verb systems
200514
8 200814
9 200812
10 200512
11 202112
12 201611
13 200511
14 201810
15 201010
16 20239
17 20109
18 20109
19 20199
20 20128

About Samit Bhattacharya

Samit Bhattacharya is a scholar working on Human-Computer Interaction, Cognitive Neuroscience, Computer Vision and Pattern Recognition, Social Psychology and Artificial Intelligence, having authored 56 papers that have together received 631 indexed citations. Recurring topics across this work include Gaze Tracking and Assistive Technology (15 papers), Interactive and Immersive Displays (12 papers), Tactile and Sensory Interactions (11 papers), Color perception and design (8 papers), Visual Attention and Saliency Detection (8 papers), Online and Blended Learning (6 papers), Image and Video Quality Assessment (6 papers) and Virtual Reality Applications and Impacts (5 papers). The work is most often cited by research in Human-Computer Interaction (210 citations), Experimental and Cognitive Psychology (235 citations), Cognitive Neuroscience (328 citations), Occupational Therapy (38 citations) and Human Factors and Ergonomics (23 citations). Samit Bhattacharya has collaborated with scholars based in India and United States. Frequent co-authors include Samarth Tripathi, Anupam Basu, Debasis Samanta, Venkatesh Tamarapalli, Siddharth Jain, Monojit Choudhury, Pradipta Biswas, Patrick Horain, Nikumani Choudhury and Yogesh Deshpande. Their work appears in journals such as Interacting with Computers, Education and Information Technologies, IEEE Transactions on Neural Systems and Rehabilitation Engineering, Multimedia Tools and Applications and ACM Transactions on Interactive Intelligent 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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