Imon Mukherjee

838 total citations
40 papers, 440 citations indexed

About

Imon Mukherjee is a scholar working on Computer Vision and Pattern Recognition, Economics and Econometrics and Automotive Engineering. According to data from OpenAlex, Imon Mukherjee has authored 40 papers receiving a total of 440 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Vision and Pattern Recognition, 7 papers in Economics and Econometrics and 5 papers in Automotive Engineering. Recurrent topics in Imon Mukherjee's work include Advanced Steganography and Watermarking Techniques (15 papers), Chaos-based Image/Signal Encryption (13 papers) and Digital Media Forensic Detection (12 papers). Imon Mukherjee is often cited by papers focused on Advanced Steganography and Watermarking Techniques (15 papers), Chaos-based Image/Signal Encryption (13 papers) and Digital Media Forensic Detection (12 papers). Imon Mukherjee collaborates with scholars based in India, United States and South Korea. Imon Mukherjee's co-authors include Β.N. Chatterji, Goutam Paul, Abhishek Mukhopadhyay, Pradipta Biswas, S. S. Ravi, Ian Davidson, Samir Kumar Bandyopadhyay, Pankaj Kumar, Rajib Biswas and Sambit Bakshi and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and IEEE Access.

In The Last Decade

Imon Mukherjee

35 papers receiving 422 citations

Peers

Imon Mukherjee
Comparison fields: 5 of 72
  • Computer Vision and Pattern Recognition 280
  • Cognitive Neuroscience 107
  • Signal Processing 60
  • Artificial Intelligence 38
  • Psychiatry and Mental health 30
Replace Nabil J. Sarhan with:
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Muhammad Bilal Qureshi Pakistan
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Abdel-Badeeh M. Salem Egypt
Anirban Mitra India
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Citations per field, relative to Imon Mukherjee
Imon Mukherjee · 1×
Citations per year, relative to Imon Mukherjee
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Countries citing papers authored by Imon Mukherjee

Since Specialization
Citations

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

Fields of papers citing papers by Imon Mukherjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Imon Mukherjee

This figure shows the co-authorship network connecting the top 25 collaborators of Imon Mukherjee. A scholar is included among the top collaborators of Imon Mukherjee based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Imon Mukherjee. Imon Mukherjee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 3
2 0
3 0
4 3
5 1
6 1
7 2
8 18
9 8
10 3
11 10
12 10
13 4
14 11
15 13
16 87
17 4
18 39
19 13
20 22

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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