Bappaditya Mandal

1.9k total citations
56 papers, 1.2k citations indexed

About

Bappaditya Mandal is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Bappaditya Mandal has authored 56 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Computer Vision and Pattern Recognition, 11 papers in Signal Processing and 7 papers in Artificial Intelligence. Recurrent topics in Bappaditya Mandal's work include Face recognition and analysis (19 papers), Face and Expression Recognition (16 papers) and Biometric Identification and Security (10 papers). Bappaditya Mandal is often cited by papers focused on Face recognition and analysis (19 papers), Face and Expression Recognition (16 papers) and Biometric Identification and Security (10 papers). Bappaditya Mandal collaborates with scholars based in Singapore, India and United Kingdom. Bappaditya Mandal's co-authors include Alex C. Kot, Xudong Jiang, Niladri B. Puhan, Liyuan Li, Jie Lin, Paritosh Pandey, Vijay Chandrasekhar, Joo‐Hwee Lim, How‐Lung Eng and Ngai‐Man Cheung and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and IEEE Transactions on Image Processing.

In The Last Decade

Bappaditya Mandal

53 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Bappaditya Mandal Singapore 17 623 186 178 176 175 56 1.2k
Humaira Nisar Malaysia 17 342 0.5× 138 0.7× 171 1.0× 147 0.8× 168 1.0× 151 1.3k
Emmanuel Dellandréa France 15 487 0.8× 144 0.8× 132 0.7× 246 1.4× 236 1.3× 31 919
Wenqiang Zhang China 22 1.2k 1.9× 117 0.6× 116 0.7× 610 3.5× 280 1.6× 124 2.1k
Uma Shanker Tiwary India 17 348 0.6× 83 0.4× 140 0.8× 197 1.1× 280 1.6× 73 1.1k
Sergey Tulyakov United States 23 1.2k 2.0× 361 1.9× 225 1.3× 245 1.4× 62 0.4× 90 1.9k
O.V. Ramana Murthy India 16 499 0.8× 59 0.3× 96 0.5× 156 0.9× 369 2.1× 58 929
Chokri Ben Amar Tunisia 22 1.0k 1.7× 223 1.2× 112 0.6× 353 2.0× 86 0.5× 157 1.5k
Raymond Ptucha United States 18 624 1.0× 141 0.8× 64 0.4× 333 1.9× 75 0.4× 76 1.1k
Minoru Fukumi Japan 15 545 0.9× 144 0.8× 181 1.0× 203 1.2× 52 0.3× 234 1.1k

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
1.
Mandal, Bappaditya, et al.. (2025). Design of AI-driven microwave imaging for lung tumor monitoring. Scientific Reports. 15(1). 34287–34287.
2.
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Mandal, Bappaditya, et al.. (2024). Grid LSTM based Attention Modelling for Traffic Flow Prediction. 1–7.
4.
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Mandal, Bappaditya, et al.. (2020). Variance-guided attention-based twin deep network for cross-spectral periocular recognition. Image and Vision Computing. 104. 104016–104016. 13 indexed citations
6.
Mandal, Bappaditya, et al.. (2019). Multi-Level Dual-Attention Based CNN for Macular Optical Coherence Tomography Classification. IEEE Signal Processing Letters. 26(12). 1793–1797. 28 indexed citations
7.
Mandal, Bappaditya, et al.. (2018). Deep Residual Network with Subclass Discriminant Analysis for Crowd Behavior Recognition. 938–942. 9 indexed citations
8.
Puhan, Niladri B., et al.. (2018). DeepPCA Based Objective Function for Melanoma Detection. 4. 68–72. 2 indexed citations
9.
Mandal, Bappaditya, et al.. (2018). Deep residual network with regularised fisher framework for detection of melanoma. IET Computer Vision. 12(8). 1096–1104. 40 indexed citations
10.
Mandal, Bappaditya, et al.. (2017). Analysis of Human Attentions for Face Recognition on Natural Videos and Comparison with CV Algorithm on Performance.. National Conference on Artificial Intelligence. 1 indexed citations
11.
Mandal, Bappaditya, et al.. (2017). VC-I2R@ImageCLEF2017: Ensemble of Deep Learned Features for Lifelog Video Summarization. CLEF (Working Notes). 7 indexed citations
12.
Subbaraju, Vigneshwaran, Qianli Xu, Bappaditya Mandal, Liyuan Li, & Joo‐Hwee Lim. (2017). An empirical approach for automatic face clustering on personal lifelogging images. 127–131. 1 indexed citations
13.
Cambria, Erik, Anupam Chattopadhyay, Eike Linn, Bappaditya Mandal, & Bebo White. (2017). Storages Are Not Forever. Cognitive Computation. 9(5). 646–658. 5 indexed citations
14.
Xu, Qianli, et al.. (2016). SocioGlass: social interaction assistance with face recognition on google glass. 2(1). 6 indexed citations
15.
Lu, Haiping, Yaozhang Pan, Bappaditya Mandal, et al.. (2012). Quantifying Limb Movements in Epileptic Seizures Through Color-Based Video Analysis. IEEE Transactions on Biomedical Engineering. 60(2). 461–469. 35 indexed citations
16.
Lu, Haiping, et al.. (2011). Markerless video analysis for movement quantification in pediatric epilepsy monitoring. PubMed. 2011. 8275–8278. 5 indexed citations
17.
Jiang, Xudong, Bappaditya Mandal, & Alex C. Kot. (2008). Eigenfeature Regularization and Extraction in Face Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence. 30(3). 383–394. 232 indexed citations
18.
Mandal, Bappaditya, Xudong Jiang, & Alex C. Kot. (2007). Kernel Fisher Discriminant Analysis in Full Eigenspace. Keele Research Repository (Keele University). 235–241. 1 indexed citations
19.
Jiang, Xudong, Bappaditya Mandal, & Alex C. Kot. (2006). Improved Bayesian Approach for Face Recognition. 3338. 162–166. 1 indexed citations
20.
Mandal, Bappaditya, Xudong Jiang, & Alex C. Kot. (2006). Multi-Scale Feature Extraction for Face Recognition. 3338. 1–6. 6 indexed citations

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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