Mrinal Mandal

4.3k total citations
158 papers, 3.0k citations indexed

About

Mrinal Mandal is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Mrinal Mandal has authored 158 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 102 papers in Computer Vision and Pattern Recognition, 40 papers in Artificial Intelligence and 24 papers in Signal Processing. Recurrent topics in Mrinal Mandal's work include Advanced Data Compression Techniques (40 papers), AI in cancer detection (30 papers) and Image and Signal Denoising Methods (27 papers). Mrinal Mandal is often cited by papers focused on Advanced Data Compression Techniques (40 papers), AI in cancer detection (30 papers) and Image and Signal Denoising Methods (27 papers). Mrinal Mandal collaborates with scholars based in Canada, China and United States. Mrinal Mandal's co-authors include Max Q.‐H. Meng, Chao Hu, Cheng Lu, Anup Basu, S. Panchanathan, Naresh Jha, T. Aboulnasr, B.F. Cockburn, Yanan Fu and H. Liao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Transactions on Image Processing.

In The Last Decade

Mrinal Mandal

151 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mrinal Mandal Canada 30 1.5k 752 442 399 383 158 3.0k
Shankar Krishnan United States 27 965 0.7× 342 0.5× 282 0.6× 183 0.5× 119 0.3× 119 3.1k
Yixuan Yuan Hong Kong 38 1.8k 1.2× 1.5k 2.0× 81 0.2× 589 1.5× 538 1.4× 180 4.7k
Baopu Li China 30 1.8k 1.2× 601 0.8× 84 0.2× 481 1.2× 1.1k 2.9× 133 3.3k
Nagaaki Ohyama Japan 25 910 0.6× 251 0.3× 82 0.2× 292 0.7× 126 0.3× 215 2.9k
Shadrokh Samavi Iran 23 1.4k 1.0× 470 0.6× 116 0.3× 370 0.9× 36 0.1× 156 2.3k
William E. Higgins United States 31 1.9k 1.3× 257 0.3× 197 0.4× 89 0.2× 40 0.1× 206 3.7k
Tatsuya Harada Japan 34 2.1k 1.4× 1.1k 1.5× 253 0.6× 62 0.2× 39 0.1× 236 3.9k
Yi Xin China 15 1.1k 0.7× 782 1.0× 63 0.1× 254 0.6× 20 0.1× 54 2.5k
Roland Kwitt Austria 21 878 0.6× 294 0.4× 77 0.2× 123 0.3× 68 0.2× 70 1.5k
Kap Luk Chan Singapore 23 1.1k 0.7× 546 0.7× 200 0.5× 27 0.1× 50 0.1× 91 2.0k

Countries citing papers authored by Mrinal Mandal

Since Specialization
Citations

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

Fields of papers citing papers by Mrinal Mandal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mrinal Mandal

This figure shows the co-authorship network connecting the top 25 collaborators of Mrinal Mandal. A scholar is included among the top collaborators of Mrinal 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 Mrinal Mandal. Mrinal 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.
Jha, Naresh, et al.. (2025). Automatic floor plan analysis: Datasets, methods, and applications (2000–2025). Automation in Construction. 178. 106378–106378.
2.
Mandal, Mrinal, et al.. (2023). A Novel Image Encryption Technique with Four Stage Bit-Interspersing and A 4D-Hyperchaotic System. ECTI Transactions on Computer and Information Technology (ECTI-CIT). 17(1). 105–116. 2 indexed citations
3.
Liu, Lina, Md. Zahurul Islam, Manisha Gupta, et al.. (2023). Multi‐wavelength multi‐direction laser light scattering for cell characterization using machine learning‐based methods. Cytometry Part A. 103(10). 796–806. 3 indexed citations
4.
Berendt, Richard, et al.. (2021). Detection of malignant melanoma in H&E-stained images using deep learning techniques. Tissue and Cell. 73. 101659–101659. 16 indexed citations
5.
Berendt, Richard, et al.. (2021). Automated proliferation index calculation for skin melanoma biopsy images using machine learning. Computerized Medical Imaging and Graphics. 89. 101893–101893. 8 indexed citations
6.
Xu, Hongming, et al.. (2019). Novel lymph node segmentation and proliferation index measurement for skin melanoma biopsy images. Computerized Medical Imaging and Graphics. 73. 19–29. 24 indexed citations
7.
Wang, Huiquan, S. Nizam Ahmed, & Mrinal Mandal. (2018). Computer-aided diagnosis of cavernous malformations in brain MR images. Computerized Medical Imaging and Graphics. 66. 115–123. 7 indexed citations
8.
Lu, Cheng, Hongming Xu, Jun Xu, et al.. (2016). Multi-Pass Adaptive Voting for Nuclei Detection in Histopathological Images. Scientific Reports. 6(1). 33985–33985. 24 indexed citations
9.
Xu, Hongming, Cheng Lu, Richard Berendt, Naresh Jha, & Mrinal Mandal. (2016). Automatic Nuclei Detection Based on Generalized Laplacian of Gaussian Filters. IEEE Journal of Biomedical and Health Informatics. 21(3). 826–837. 51 indexed citations
10.
Basu, Anup, et al.. (2014). Further investigation on adaptive search. The Journal of Engineering. 2014(5). 238–247. 2 indexed citations
11.
Cheng, Irene, et al.. (2013). COMPUTER-AIDED DETECTION OF ACINAR SHADOWS IN CHEST RADIOGRAPHS. ICTACT Journal on Image and Video Processing. 3(4). 593–604. 3 indexed citations
12.
Xu, Tao, Mrinal Mandal, Richard Long, Irene Cheng, & Anup Basu. (2012). An edge-region force guided active shape approach for automatic lung field detection in chest radiographs. Computerized Medical Imaging and Graphics. 36(6). 452–463. 51 indexed citations
13.
Mandal, Mrinal, et al.. (2011). An adaptive stochastic-resonance-based detector and its application in watermark extraction. 7(2). 65–81. 1 indexed citations
14.
Yuan, Yufei, B.F. Cockburn, Thomas Sikora, & Mrinal Mandal. (2006). A GoP based FEC technique for packet based video streaming. International Conference on Communications. 15(50). 187–192. 7 indexed citations
15.
Hu, Chao, Max Q.‐H. Meng, & Mrinal Mandal. (2005). Efficient Linear Algorithm for Magnetic Localization and Orientation in Capsule Endoscopy. PubMed. 2005. 7143–7146. 36 indexed citations
16.
Elmallah, Ehab S. & Mrinal Mandal. (2005). Predictive call admission control for multimedia streaming in CDMA cellular environments. Canadian Journal of Electrical and Computer Engineering. 30(2). 115–123. 3 indexed citations
17.
Mandal, Mrinal, et al.. (2004). Cardiac video analysis using Hodge–Helmholtz field decomposition. Computers in Biology and Medicine. 36(1). 1–20. 12 indexed citations
18.
Yuan, Yufei & Mrinal Mandal. (2002). Low-Band-Shifted Hierarchical Backward Motion Estimation, Compensation for Wavelet-Based Video Coding.. 2 indexed citations
19.
Sánchez, Víctor & Mrinal Mandal. (2002). Adaptive Unequal Channel Protection for JPEG2000 Images.. 2 indexed citations
20.
Mandal, Mrinal, et al.. (1996). Wavelet-based image coding using nonlinear interpolative vector quantization. IEEE Transactions on Image Processing. 5(3). 518–522. 7 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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