Prasenjit Dey

589 total citations
25 papers, 362 citations indexed

About

Prasenjit Dey is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Prasenjit Dey has authored 25 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 3 papers in Computer Networks and Communications. Recurrent topics in Prasenjit Dey's work include Neural Networks and Applications (5 papers), Machine Learning and ELM (4 papers) and Face and Expression Recognition (3 papers). Prasenjit Dey is often cited by papers focused on Neural Networks and Applications (5 papers), Machine Learning and ELM (4 papers) and Face and Expression Recognition (3 papers). Prasenjit Dey collaborates with scholars based in India, Nepal and United Kingdom. Prasenjit Dey's co-authors include Mohit Jain, Partha Pratim Roy, Umapada Pal, Tandra Pal, Ayan Kumar Bhunia, Ayan Das, Parvez Ahammad, Qingzhu Gao, Bhaskara S. Egala and Saraju P. Mohanty and has published in prestigious journals such as Scientific Reports, Pattern Recognition and IEEE Internet of Things Journal.

In The Last Decade

Prasenjit Dey

23 papers receiving 350 citations

Peers

Prasenjit Dey
Comparison fields: 5 of 79
  • Computer Vision and Pattern Recognition 154
  • Artificial Intelligence 154
  • Signal Processing 77
  • Media Technology 64
  • Information Systems 55
Replace R. V. Dharaskar with:
R. V. Dharaskar India
Wei Tong China
Yong Rui United States
Mushtaq Ali Pakistan
Zhaohui Wang China
Hayato Kobayashi Japan
Karina Toscano-Medina Mexico
Mouldi Bedda Algeria
Alon Schclar Israel
Alaa Eleyan Türkiye
R. V. Dharaskar India View profile →
Citations per field, relative to Prasenjit Dey
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Citations per year, relative to Prasenjit Dey
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Countries citing papers authored by Prasenjit Dey

Since Specialization
Citations

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

Fields of papers citing papers by Prasenjit Dey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prasenjit Dey

This figure shows the co-authorship network connecting the top 25 collaborators of Prasenjit Dey. A scholar is included among the top collaborators of Prasenjit Dey 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 Prasenjit Dey. Prasenjit Dey 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 0
2 5
3 2
4 11
5 5
6 42
7 28
8 3
9 2
10 5
11 63
12 26
13 7
14 1
15
A Framework for Mining Enterprise Risk and Risk Factors from News Documents
1
16 67
17 3
18 17
19 6
20 15

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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