Rajdeep Chatterjee

1.1k citations
59 papers · 543 · h-index 10

Impact in

Papers in

Rajdeep Chatterjee

46 papers receiving 510 citations

Peers

Rajdeep Chatterjee
Comparison fields: 5 of 100
  • Signal Processing 89
  • Cognitive Neuroscience 144
  • Human-Computer Interaction 33
  • Computer Vision and Pattern Recognition 122
  • Artificial Intelligence 163
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Citations per year

Countries citing papers authored by Rajdeep Chatterjee

Since Specialization
Citations

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

Fields of papers citing papers by Rajdeep Chatterjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202178
2 201978
3 201660
4 201759
5 202044
6 202336
7 202425
8 201615
9 201714
10 201614
11 20238
12 20228
13 20217
14 20237
15
Effect of different levels of nitrogen and leaf cutting on growth, leaf and seed yield of fenugreek (Trigonella foenum-graecum)
20056
16
Effect of different levels of nitrogen and leaf cutting on growth, leaf and seed yield of coriander
20086
17 20225
18 20245
19 20225
20 20245

About Rajdeep Chatterjee

Rajdeep Chatterjee is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Plant Science, Cognitive Neuroscience and Soil Science, having authored 59 papers that have together received 543 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (10 papers), Agricultural Science and Fertilization (8 papers), Anomaly Detection Techniques and Applications (6 papers), Video Surveillance and Tracking Methods (5 papers), Agronomic Practices and Intercropping Systems (5 papers), Neural Networks and Applications (5 papers), Blind Source Separation Techniques (4 papers) and Sentiment Analysis and Opinion Mining (3 papers). The work is most often cited by research in Signal Processing (89 citations), Cognitive Neuroscience (144 citations), Human-Computer Interaction (33 citations), Computer Vision and Pattern Recognition (122 citations) and Artificial Intelligence (163 citations). Rajdeep Chatterjee has collaborated with scholars based in India, United Arab Emirates and Saudi Arabia. Frequent co-authors include Tathagata Bandyopadhyay, Tanmoy Maitra, SK Hafizul Islam, Atif Alamri, Mohammad Mehedi Hassan, Debarshi Kumar Sanyal, Giancarlo Fortino, Debasis Giri, R. Simon Sherratt and Biplab Sikdar. Their work appears in journals such as Multimedia Tools and Applications, IEEE Access, Scientific Reports, IEEE Transactions on Consumer Electronics and IEEE Systems 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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