Malay Kishore Dutta

5.9k total citations · 1 hit paper
320 papers, 4.1k citations indexed

About

Malay Kishore Dutta is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Signal Processing. According to data from OpenAlex, Malay Kishore Dutta has authored 320 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 143 papers in Computer Vision and Pattern Recognition, 77 papers in Radiology, Nuclear Medicine and Imaging and 70 papers in Signal Processing. Recurrent topics in Malay Kishore Dutta's work include Retinal Imaging and Analysis (55 papers), Advanced Steganography and Watermarking Techniques (54 papers) and Chaos-based Image/Signal Encryption (38 papers). Malay Kishore Dutta is often cited by papers focused on Retinal Imaging and Analysis (55 papers), Advanced Steganography and Watermarking Techniques (54 papers) and Chaos-based Image/Signal Encryption (38 papers). Malay Kishore Dutta collaborates with scholars based in India, Czechia and Spain. Malay Kishore Dutta's co-authors include Radim Bürget, Ashish Issac, Anushikha Singh, Rakesh Chandra Joshi, Carlos M. Travieso, Vaibhav Tiwari, Namita Sengar, Parthasarathi Mangipudi, Kamil Říha and Václav Uher and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Green Chemistry.

In The Last Decade

Malay Kishore Dutta

302 papers receiving 3.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Dense convolutional neural networks based multiclass plant disease detection and classification using leaf images

2021 186 citations Vaibhav Tiwari, Rakesh Chandra Joshi et al. Ecological Informatics profile →

Peers

Countries citing papers authored by Malay Kishore Dutta

Since Specialization

Citations

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

Fields of papers citing papers by Malay Kishore Dutta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Malay Kishore Dutta. 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 Malay Kishore Dutta. The network helps show where Malay Kishore Dutta may publish in the future.

Co-authorship network of co-authors of Malay Kishore Dutta

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	AgriDeep-net: An advanced deep feature fusion-based technique for enhanced fine-grain image analytics in precision agriculture 2025 ·Ecological Informatics ·Rakesh Chandra Joshi, (unknown), Malay Kishore Dutta	0
2	DeepRespNet: A deep neural network for classification of respiratory sounds 2024 ·Biomedical Signal Processing and Control ·Rinki Gupta, (unknown), Carlos M. Travieso, Radim Bürget, Malay Kishore Dutta	6
3	Empowering novel scholarship at the intersection of machine learning/deep learning and ecology 2023 ·Ecological Informatics ·Malay Kishore Dutta, George B. Arhonditsis	8
4	Microcell‐Net: A deep neural network for multi‐class classification of microscopic blood cell images 2023 ·Expert Systems ·(unknown), Malay Kishore Dutta	5
5	An Efficient Convolutional Neural Network to Detect and Count Blood Cells 2022 ·Uniciencia ·Rakesh Chandra Joshi, Saumya Yadav, Malay Kishore Dutta, Carlos M. Travieso	1
6	AI-CardioCare: Artificial Intelligence Based Device for Cardiac Health Monitoring 2022 ·IEEE Transactions on Human-Machine Systems ·Rakesh Chandra Joshi, (unknown), Vinay Kumar Pathak, Malay Kishore Dutta	14
7	Computer-aided automatic transfer learning based approach for analysing the effect of high-frequency EMF radiation on brain 2021 ·Multimedia Tools and Applications ·Ritesh Maurya, (unknown), Tanu Jindal, Vinay K. Pathak, Malay Kishore Dutta	1
8	A low-cost imaging framework for freshness evaluation from multifocal fish tissues 2021 ·Journal of Food Engineering ·Monika Arora, Parthasarathi Mangipudi, Malay Kishore Dutta	11
9	Automated detection of bioimages using novel deep feature fusion algorithm and effective high-dimensional feature selection approach 2021 ·Computers in Biology and Medicine ·Ritesh Maurya, Vinay K. Pathak, Radim Bürget, Malay Kishore Dutta	13
10	A deep learning-based COVID-19 automatic diagnostic framework using chest X-ray images 2021 ·Journal of Applied Biomedicine ·Rakesh Chandra Joshi, Saumya Yadav, Vinay Kumar Pathak, Hardeep Singh Malhotra, (unknown), Anit Parihar, Neera Kohli, Himanshu Dua, Ravindra Kumar Garg, Madan Lal Brahma Bhatt, Raj Kumar, Naresh Pal Singh, (unknown), Radim Bürget, Cesare Alippi, Carlos M. Travieso, Malay Kishore Dutta	48
11	SLINet: Dysphasia detection in children using deep neural network 2021 ·Biomedical Signal Processing and Control ·(unknown), (unknown), Radim Bürget, Carlos M. Travieso, Malay Kishore Dutta	11
12	Computer-aided diagnosis of auto-immune disease using capsule neural network 2021 ·Multimedia Tools and Applications ·Ritesh Maurya, Vinay K. Pathak, Malay Kishore Dutta	7
13	Deep learning based microscopic cell images classification framework using multi-level ensemble 2021 ·Computer Methods and Programs in Biomedicine ·Ritesh Maurya, Vinay K. Pathak, Malay Kishore Dutta	12
14	An efficient deep neural network based abnormality detection and multi-class breast tumor classification 2021 ·Multimedia Tools and Applications ·Rakesh Chandra Joshi, (unknown), Vaibhav Tiwari, Malay Kishore Dutta	26
15	Automatic diagnosis of multiple cardiac diseases from PCG signals using convolutional neural network 2020 ·Computer Methods and Programs in Biomedicine ·(unknown), Malay Kishore Dutta, Radim Bürget	71
16	Detection of Ventricular Fibrillation Using the Image from Time-Frequency Representation and Combined Classifiers without Feature Extraction 2018 ·Applied Sciences ·(unknown), Alfredo Rosado-Muñoz, Juan Guerrero, Manuel Bataller‐Mompeán, Jose V. Francés-Víllora, Malay Kishore Dutta	15
17	Image processing based classification of grapes after pesticide exposure 2016 ·LWT ·Malay Kishore Dutta, Namita Sengar, (unknown), Biplab Sarkar, (unknown), Kaushik Banerjee	27
18	An adaptive threshold based image processing technique for improved glaucoma detection and classification 2015 ·Computer Methods and Programs in Biomedicine ·Ashish Issac, (unknown), Malay Kishore Dutta	151
19	Image processing based automatic diagnosis of glaucoma using wavelet features of segmented optic disc from fundus image 2015 ·Computer Methods and Programs in Biomedicine ·Anushikha Singh, Malay Kishore Dutta, Parthasarathi Mangipudi, Václav Uher, Radim Bürget	159
20	An imaging technique for acrylamide identification in potato chips in wavelet domain 2015 ·LWT ·Malay Kishore Dutta, Anushikha Singh, (unknown)	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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