Dipan K. Pal

714 total citations
12 papers, 435 citations indexed

About

Dipan K. Pal is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Dipan K. Pal has authored 12 papers receiving a total of 435 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 5 papers in Signal Processing and 3 papers in Artificial Intelligence. Recurrent topics in Dipan K. Pal's work include Face recognition and analysis (9 papers), Biometric Identification and Security (5 papers) and Face and Expression Recognition (5 papers). Dipan K. Pal is often cited by papers focused on Face recognition and analysis (9 papers), Biometric Identification and Security (5 papers) and Face and Expression Recognition (5 papers). Dipan K. Pal collaborates with scholars based in United States. Dipan K. Pal's co-authors include Marios Savvides, Felix Juefei-Xu, Yutong Zheng, Ole J. Mengshoel, Jun Shi and Ran Tao and has published in prestigious journals such as Neural Information Processing Systems and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Dipan K. Pal

12 papers receiving 419 citations

Peers

Dipan K. Pal
Comparison fields: 5 of 51
  • Computer Vision and Pattern Recognition 338
  • Signal Processing 158
  • Artificial Intelligence 70
  • Automotive Engineering 45
  • Media Technology 34
Replace Jenn-Jier James Lien with:
Jenn-Jier James Lien Taiwan
Shinji Ozawa Japan
Juneho Yi South Korea
Tobias Feigl Germany
Paola Barra Italy
Lionel Prévost France
Ravi Kiran Sarvadevabhatla India
Hosub Yoon South Korea
Jenn-Jier James Lien Taiwan View profile →
Citations per field, relative to Dipan K. Pal
Dipan K. Pal · 1×
Citations per year, relative to Dipan K. Pal
Dipan K. Pal · 1×

Countries citing papers authored by Dipan K. Pal

Since Specialization
Citations

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

Fields of papers citing papers by Dipan K. Pal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dipan K. Pal. 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 Dipan K. Pal. The network helps show where Dipan K. Pal may publish in the future.

Co-authorship network of co-authors of Dipan K. Pal

This figure shows the co-authorship network connecting the top 25 collaborators of Dipan K. Pal. A scholar is included among the top collaborators of Dipan K. Pal 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 Dipan K. Pal. Dipan K. Pal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
# Work Indexed citations
1 2
2 28
3 1
4 134
5
Max-Margin Invariant Features from Transformed Unlabelled Data
2
6 13
7 18
8 97
9 99
10 19
11 2
12 20

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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