Dilip K. Prasad

3.3k total citations · 1 hit paper
110 papers, 2.0k citations indexed

About

Dilip K. Prasad is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Dilip K. Prasad has authored 110 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Computer Vision and Pattern Recognition, 21 papers in Artificial Intelligence and 16 papers in Media Technology. Recurrent topics in Dilip K. Prasad's work include Image and Object Detection Techniques (17 papers), Image Processing Techniques and Applications (13 papers) and Robotics and Sensor-Based Localization (9 papers). Dilip K. Prasad is often cited by papers focused on Image and Object Detection Techniques (17 papers), Image Processing Techniques and Applications (13 papers) and Robotics and Sensor-Based Localization (9 papers). Dilip K. Prasad collaborates with scholars based in Singapore, Norway and India. Dilip K. Prasad's co-authors include Chai Quek, M.K.H. Leung, Deepu Rajan, Eshan Rajabally, Lily Rachmawati, Michael S. Brown, Dongliang Cheng, Siu‐Yeung Cho, Huixu Dong and I‐Ming Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Transactions on Image Processing.

In The Last Decade

Dilip K. Prasad

102 papers receiving 1.9k 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.

Video Processing From Electro-Optical Sensors for Object Detection and Tracking in a Maritime Environment: A Survey

2017 323 citations Dilip K. Prasad, Chai Quek et al. profile →

Peers

Countries citing papers authored by Dilip K. Prasad

Since Specialization

Citations

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

Fields of papers citing papers by Dilip K. Prasad

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dilip K. Prasad

This figure shows the co-authorship network connecting the top 25 collaborators of Dilip K. Prasad. A scholar is included among the top collaborators of Dilip K. Prasad 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 Dilip K. Prasad. Dilip K. Prasad 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	Applications and Challenges of AI and Microscopy in Life Science Research: A Review 2025 ·ArXiv.org ·Himanshu Buckchash, (unknown), Dilip K. Prasad	0
2	An UltraMNIST classification benchmark to train CNNs for very large images 2024 ·Scientific Data ·Deepak K. Gupta, (unknown), Abhishek Thakur, Akash Gupta, (unknown), (unknown), (unknown), Krishna Agarwal, Dilip K. Prasad	3
3	GUNet++: guided-U-Net-based compact image representation with an improved reconstruction mechanism 2024 ·Journal of the Optical Society of America A ·(unknown), Samir Malakar, Alexander Horsch, Dilip K. Prasad	1
4	Propagating Transparency: A Deep Dive into the Interpretability of Neural Networks 2024 ·Duo Research Archive (University of Oslo) ·(unknown), Alexander Horsch, Ajit Bopardikar, Dilip K. Prasad	4
5	Single-shot multispectral quantitative phase imaging of biological samples using deep learning 2023 ·Applied Optics ·Sunil Bhatt, (unknown), Anand Kumar, (unknown), Akshay Joshi, (unknown), (unknown), Dilip K. Prasad, Krishna Agarwal, (unknown)	12
6	Interpretability in Deep Learning 2023 ·(unknown), Alexander Horsch, Dilip K. Prasad	9
7	Taxonomy of hybridly polarized Stokes vortex beams 2023 ·Optics Express ·(unknown), (unknown), (unknown), (unknown), Krishna Agarwal, Alexander Horsch, Dilip K. Prasad, P. Senthilkumaran	1
8	Analyzing Mitochondrial Morphology Through Simulation Supervised Learning 2023 ·Journal of Visualized Experiments ·(unknown), (unknown), (unknown), (unknown), Åsa Birna Birgisdottir, Dilip K. Prasad, Alexander Horsch, Krishna Agarwal	2
9	Analyzing Mitochondrial Morphology Through Simulation Supervised Learning 2023 ·Journal of Visualized Experiments ·(unknown), (unknown), (unknown), (unknown), Åsa Birna Birgisdottir, Dilip K. Prasad, Alexander Horsch, Krishna Agarwal	1
10	On Designing Light-Weight Object Trackers Through Network Pruning: Use CNNS or Transformers? 2023 ·(unknown), (unknown), (unknown), (unknown), (unknown), Dilip K. Prasad, Deepak Gupta	0
11	Physics-Guided Loss Functions Improve Deep Learning Performance in Inverse Scattering 2022 ·IEEE Transactions on Computational Imaging ·Zicheng Liu, (unknown), Dilip K. Prasad, Krishna Agarwal	20
12	Virtual labeling of mitochondria in living cells using correlative imaging and physics-guided deep learning 2022 ·Biomedical Optics Express ·(unknown), Arif Ahmed Sekh, (unknown), Åsa Birna Birgisdottir, Truls Myrmel, Balpreet Singh Ahluwalia, Alexander Horsch, Krishna Agarwal, Dilip K. Prasad	9
13	Object detection neural network improves Fourier ptychography reconstruction 2020 ·Optics Express ·Florian Ströhl, (unknown), Balpreet Singh Ahluwalia, Krishna Agarwal, Dilip K. Prasad	6
14	Artefact removal in ground truth deficient fluctuations-based nanoscopy images using deep learning 2020 ·Biomedical Optics Express ·(unknown), (unknown), (unknown), Balpreet Singh Ahluwalia, Krishna Agarwal, Dilip K. Prasad	3
15	Can we automate diagrammatic reasoning? 2020 ·Pattern Recognition ·Arif Ahmed Sekh, Debi Prosad Dogra, Samarjit Kar, Partha Pratim Roy, Dilip K. Prasad	2
16	Inverse and efficiency of heat transfer convex fin with multiple nonlinearities 2020 ·Heat Transfer ·(unknown), Hiranmoy Mondal, Ashis Mallick, Dilip K. Prasad	4
17	Non-heuristic automatic techniques for overcoming low signal-to-noise-ratio bias of localization microscopy and multiple signal classification algorithm 2018 ·Scientific Reports ·Krishna Agarwal, Radek Macháň, Dilip K. Prasad	3
18	Eigen-analysis reveals components supporting super-resolution imaging of blinking fluorophores 2017 ·Scientific Reports ·Krishna Agarwal, Dilip K. Prasad	4
19	Classification of Hyperspectral or Trichromatic Measurements of Ocean Color Data into Spectral Classes 2016 ·Sensors ·Dilip K. Prasad, Krishna Agarwal	3
20	Fast segmentation of sub-cellular organelles 2012 ·Dilip K. Prasad, Chai Quek, M.K.H. Leung, (unknown), (unknown), (unknown), (unknown)	3

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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