Rinki Gupta

543 citations
47 papers · 325 · h-index 10

Impact in

Papers in

Rinki Gupta

42 papers receiving 300 citations

Peers

Rinki Gupta
Comparison fields: 5 of 64
  • Human-Computer Interaction 189
  • Developmental and Educational Psychology 92
  • Computer Vision and Pattern Recognition 74
  • Cognitive Neuroscience 60
  • Biomedical Engineering 133
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Tse–Yu Pan Taiwan
Jaya Prakash Sahoo India
Erwin Wu Japan
Munir Oudah Australia
Jesus Suarez United States
Okan Köpüklü Germany
Zaid Omar Malaysia
Yilin Liu United States
E. Kiran Kumar India
Garima Joshi India
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Citations per field
00.5×1.6×
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Citations per year

Countries citing papers authored by Rinki Gupta

Since Specialization
Citations

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

Fields of papers citing papers by Rinki Gupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202138
2 201937
3 202031
4 202024
5 202018
6 202017
7 201816
8 202010
9 201210
10 20249
11 20159
12 20219
13 20247
14 20247
15 20236
16 20186
17 20196
18 20235
19 20235
20 20224

About Rinki Gupta

Rinki Gupta is a scholar working on Biomedical Engineering, Human-Computer Interaction, Cognitive Neuroscience, Computer Vision and Pattern Recognition and Developmental and Educational Psychology, having authored 47 papers that have together received 325 indexed citations. Recurring topics across this work include Hand Gesture Recognition Systems (25 papers), Muscle activation and electromyography studies (13 papers), Gait Recognition and Analysis (10 papers), Hearing Impairment and Communication (9 papers), EEG and Brain-Computer Interfaces (6 papers), Speech and Audio Processing (6 papers), Context-Aware Activity Recognition Systems (5 papers) and Advanced Sensor and Energy Harvesting Materials (4 papers). The work is most often cited by research in Human-Computer Interaction (189 citations), Developmental and Educational Psychology (92 citations), Computer Vision and Pattern Recognition (74 citations), Cognitive Neuroscience (60 citations) and Biomedical Engineering (133 citations). Rinki Gupta has collaborated with scholars based in India, United Arab Emirates and Canada. Frequent co-authors include Arun Kumar, Sreeraman Rajan, Amioy Kumar, Rajendar Bahl, Shamneesh Sharma, Sindhu Hak Gupta, Aman Gupta, Shubham Mishra, Ghanapriya Singh and Malay Kishore Dutta. Their work appears in journals such as Journal of Ambient Intelligence and Humanized Computing, Computers & Electrical Engineering, Engineering Applications of Artificial Intelligence, Multimedia Tools and Applications and Neural Computing and Applications.

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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