Bappaditya Mandal

53 papers receiving 1.1k citations

Peers

Bappaditya Mandal
Comparison fields: 5 of 101
  • Computer Vision and Pattern Recognition 623
  • Signal Processing 186
  • Biomedical Engineering 178
  • Artificial Intelligence 176
  • Experimental and Cognitive Psychology 175
Replace Sanyuan Zhang with:
Sanyuan Zhang China
Noor Almaadeed Qatar
Dimitrios Kosmopoulos Greece
Jia Guo China
Haizhou Ai China
Mohammad Farukh Hashmi India
Christos Sagonas United Kingdom
Yaman Akbulut Türkiye
M. Rizon Malaysia
Jiabei Zeng China
Bappaditya Mandal relative to Sanyuan Zhang China Sanyuan Zhang's profile →
Citations per field
00.5×4.6×
Sanyuan Zhang · 1×
Citations per year

Countries citing papers authored by Bappaditya Mandal

Since Specialization
Citations

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

Fields of papers citing papers by Bappaditya Mandal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bappaditya Mandal

This figure shows the co-authorship network connecting the top 25 collaborators of Bappaditya Mandal. A scholar is included among the top collaborators of Bappaditya Mandal 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 Bappaditya Mandal. Bappaditya Mandal 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
#WorkIndexed citations
1 0
2 1
3 0
4 2
5 24
6 28
7 9
8 2
9 40
10
VC-I2R@ImageCLEF2017: Ensemble of Deep Learned Features for Lifelog Video Summarization
7
11
Analysis of Human Attentions for Face Recognition on Natural Videos and Comparison with CV Algorithm on Performance.
1
12 1
13 17
14 35
15 5
16 232
17
Kernel Fisher Discriminant Analysis in Full Eigenspace
1
18 9
19 6
20 1

About Bappaditya Mandal

Bappaditya Mandal is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Human-Computer Interaction, having authored 56 papers that have together received 1.2k indexed citations. Recurring topics across this work include Face recognition and analysis (19 papers), Face and Expression Recognition (16 papers) and Biometric Identification and Security (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (623 citations), Signal Processing (186 citations) and Experimental and Cognitive Psychology (175 citations). Bappaditya Mandal has collaborated with scholars based in Singapore, India and United Kingdom. Frequent co-authors include Xudong Jiang, Alex C. Kot, Niladri B. Puhan, Liyuan Li, Jie Lin, Paritosh Pandey, Vijay Chandrasekhar, Joo‐Hwee Lim, How‐Lung Eng and Sibo Song. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and IEEE Transactions on Image Processing.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026