Nabamita Deb

28 papers receiving 339 citations

Peers

Nabamita Deb
Comparison fields: 5 of 87
  • Cognitive Neuroscience 79
  • Signal Processing 35
  • Human-Computer Interaction 15
  • Experimental and Cognitive Psychology 30
  • Electrical and Electronic Engineering 127
Replace Shrivishal Tripathi with:
Shrivishal Tripathi India
Tetsuya Matsumoto Japan
Andrew Abel China
Feng Ran China
Kuryati Kipli Malaysia
Jiyoun Lim South Korea
S. N. Kumar India
Seok-Woo Jang South Korea
Haoyue Tang China
Muhammad Iram Baig Pakistan
Nabamita Deb relative to Shrivishal Tripathi India Shrivishal Tripathi's profile →
Citations per field
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Shrivishal Tripathi · 1×
Citations per year

Countries citing papers authored by Nabamita Deb

Since Specialization
Citations

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

Fields of papers citing papers by Nabamita Deb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202364
2 200240
3 202232
4 202229
5 200329
6 200626
7 202224
8 200422
9 202219
10 202512
11 20249
12
MEMS RESONATOR SYNTHESIS FOR DEFECT REDUCTION
20018
13 20225
14 20245
15 20234
16 20014
17 20194
18 20243
19 20173
20 20252

About Nabamita Deb

Nabamita Deb is a scholar working on Electrical and Electronic Engineering, Cognitive Neuroscience, Atomic and Molecular Physics, and Optics, Signal Processing and Artificial Intelligence, having authored 36 papers that have together received 358 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (8 papers), Advanced MEMS and NEMS Technologies (6 papers), Force Microscopy Techniques and Applications (4 papers), Photonic and Optical Devices (3 papers), Blind Source Separation Techniques (3 papers), Blockchain Technology Applications and Security (2 papers), Spectroscopy and Chemometric Analyses (2 papers) and Advanced Surface Polishing Techniques (2 papers). The work is most often cited by research in Cognitive Neuroscience (79 citations), Signal Processing (35 citations), Human-Computer Interaction (15 citations), Experimental and Cognitive Psychology (30 citations) and Electrical and Electronic Engineering (127 citations). Nabamita Deb has collaborated with scholars based in India, United States and Italy. Frequent co-authors include R.D. Blanton, Souvik Phadikar, Rajdeep Ghosh, Pranesh Das, Nidul Sinha, Ebrahim Ghaderpour, Arpit Bhardwaj, Mukesh Soni, Pradeep Tomar and Wongchai Anupong. Their work appears in journals such as Data in Brief, Indian Journal of Science and Technology, PeerJ Computer Science, Journal of Microelectromechanical Systems and IEEE Sensors Journal.

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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