Anil A. Bharath

12.9k total citations · 2 hit papers
114 papers, 7.5k citations indexed

About

Anil A. Bharath is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Anil A. Bharath has authored 114 papers receiving a total of 7.5k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Computer Vision and Pattern Recognition, 33 papers in Radiology, Nuclear Medicine and Imaging and 21 papers in Artificial Intelligence. Recurrent topics in Anil A. Bharath's work include Medical Image Segmentation Techniques (14 papers), Retinal Imaging and Analysis (14 papers) and Image and Signal Denoising Methods (11 papers). Anil A. Bharath is often cited by papers focused on Medical Image Segmentation Techniques (14 papers), Retinal Imaging and Analysis (14 papers) and Image and Signal Denoising Methods (11 papers). Anil A. Bharath collaborates with scholars based in United Kingdom, United States and Türkiye. Anil A. Bharath's co-authors include Kai Arulkumaran, Marc Peter Deisenroth, Miles Brundage, Antonia Creswell, Biswa Sengupta, Vincent Dumoulin, Tom White, Kim H. Parker, M. Elena Martínez-Pérez and Simon Thom and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Anil A. Bharath

104 papers receiving 7.3k 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.

Deep Reinforcement Learning: A Brief Survey

2017 2.7k citations Kai Arulkumaran, Marc Peter Deisenroth et al. IEEE Signal Processing Magazine profile →
Generative Adversarial Networks: An Overview

2018 2.7k citations Antonia Creswell, Tom White et al. IEEE Signal Processing Magazine profile →

Peers

Countries citing papers authored by Anil A. Bharath

Since Specialization

Citations

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

Fields of papers citing papers by Anil A. Bharath

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anil A. Bharath. 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 Anil A. Bharath. The network helps show where Anil A. Bharath may publish in the future.

Co-authorship network of co-authors of Anil A. Bharath

This figure shows the co-authorship network connecting the top 25 collaborators of Anil A. Bharath. A scholar is included among the top collaborators of Anil A. Bharath 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 Anil A. Bharath. Anil A. Bharath 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	PINNing cerebral blood flow: analysis of perfusion MRI in infants using physics-informed neural networks 2025 ·PubMed ·(unknown), (unknown), Tomoki Arichi, Anil A. Bharath, Marta Varela	1
2	Estimation of fibre architecture and scar in myocardial tissue using electrograms: An in-silico study 2023 ·Biomedical Signal Processing and Control ·(unknown), (unknown), Nicholas S. Peters, Chris D. Cantwell, Rasheda A. Chowdhury, Anil A. Bharath	1
3	Efficient labelling for efficient deep learning: the benefit of a multiple-image-ranking method to generate high volume training data applied to ventricular slice level classification in cardiac MRI 2023 ·PubMed ·Sameer Zaman, Kavitha Vimalesvaran, James P. Howard, (unknown), Marta Varela, Nicholas S. Peters, Dárrel P. Francis, Anil A. Bharath, Nick Linton, Graham D. Cole	3
4	Validity of Self-testing at Home With Rapid Severe Acute Respiratory Syndrome Coronavirus 2 Antibody Detection by Lateral Flow Immunoassay 2022 ·Clinical Infectious Diseases ·Christina Atchison, Maya Moshe, Jonathan C. Brown, Matthew Whitaker, (unknown), Anil A. Bharath, Rachel A. McKendry, Ara Darzi, Deborah Ashby, Christl A. Donnelly, Steven Riley, Paul Elliott, William Barclay, Graham Cooke, Helen Ward	9
5	Machine learning to support visual auditing of home-based lateral flow immunoassay self-test results for SARS-CoV-2 antibodies 2022 ·SHILAP Revista de lepidopterología ·(unknown), (unknown), Valérian Turbé, Matthew Whitaker, Maya Moshe, (unknown), Tianhong Dai, (unknown), William Barclay, Ara Darzi, Paul Elliott, Helen Ward, Reiko Tanaka, Graham Cooke, Rachel A. McKendry, Christina Atchison, Anil A. Bharath	22
6	Automatic Diagnosis Labeling of Cardiovascular MRI by Using Semisupervised Natural Language Processing of Text Reports 2021 ·Radiology Artificial Intelligence ·Sameer Zaman, (unknown), Kavitha Vimalesvaran, James P. Howard, Anil A. Bharath, Dárrel P. Francis, Nicholas S. Peters, Graham D. Cole, Nick Linton	16
7	Comparing recurrent and convolutional neural networks for predicting wave propagation. 2020 ·Spiral (Imperial College London) ·(unknown), (unknown), (unknown), Chris D. Cantwell, Amos Storkey, Anil A. Bharath	1
8	Generative Adversarial Networks: An Overview breakdown → 2018 ·IEEE Signal Processing Magazine ·Antonia Creswell, Tom White, Vincent Dumoulin, Kai Arulkumaran, Biswa Sengupta, Anil A. Bharath	2721
9	Conditional Autoencoders with Adversarial Information Factorization 2017 ·arXiv (Cornell University) ·Antonia Creswell, Anil A. Bharath, Biswa Sengupta	6
10	Deep Reinforcement Learning: A Brief Survey breakdown → 2017 ·IEEE Signal Processing Magazine ·Kai Arulkumaran, Marc Peter Deisenroth, Miles Brundage, Anil A. Bharath	2731
11	An assistive haptic interface for appearance-based indoor navigation 2016 ·Computer Vision and Image Understanding ·(unknown), Kai Arulkumaran, (unknown), (unknown), Anil A. Bharath	4
12	Patch-based feature maps for pixel-level image segmentation 2012 ·European Signal Processing Conference ·(unknown), (unknown), Anil A. Bharath	2
13	Spatio-Temporal Registration and Microvasculature Segmentation of Retinal Angiogram Sequences. 2011 ·(unknown), Anil A. Bharath, Kim H. Parker, Jeffrey Ng, (unknown), Alison H. McGregor, Adam M. Hill	1
14	HMM-Based Lexicon-Driven and Lexicon-Free Word Recognition for Online Handwritten Indic Scripts 2011 ·IEEE Transactions on Pattern Analysis and Machine Intelligence ·Anil A. Bharath, Sriganesh Madhvanath	87
15	Synthesis of Nonseparable 3-D Spatiotemporal Bandpass Filters on Analog Networks 2008 ·IEEE Transactions on Circuits and Systems I Regular Papers ·Henry M. D. Ip, Emmanuel M. Drakakis, Anil A. Bharath	8
16	Next generation artificial vision systems : reverse engineering the human visual system 2008 ·Anil A. Bharath, Μαρία Πέτρου	11
17	A numerical study of red–green colour opponent properties in the primate retina 2007 ·European Journal of Neuroscience ·Hiroshi Momiji, Mark W. Hankins, Anil A. Bharath, Christopher Kennard	6
18	Segmentation of blood vessels from red-free and fluorescein retinal images 2007 ·Medical Image Analysis ·M. Elena Martínez-Pérez, Alun D. Hughes, Simon Thom, Anil A. Bharath, Kim H. Parker	310
19	Hidden Markov Models for Online Handwritten Tamil Word Recognition 2007 ·Proceedings of the International Conference on Document Analysis and Recognition ·Anil A. Bharath, Sriganesh Madhvanath	43
20	Carotid artery wall motion estimated from b-mode ultrasound using region tracking and block matching 2003 ·Ultrasound in Medicine & Biology ·Spyretta Golemati, Antonio Sassano, M. J. Lever, Anil A. Bharath, Surinder Dhanjil, Andrew Nicolaides	149

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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