Anil A. Bharath

12.9k citations
114 papers · 7.5k indexed · 2 hit papers · h-index 23
Topics
Medical Image Segmentation Techniques (14 papers)Retinal Imaging and Analysis (14 papers)Image and Signal Denoising Methods (11 papers)

In The Last Decade

Anil A. Bharath

104 papers receiving 7.3k citations

Hit Papers

Deep Reinforcement Learning: A Brief Survey20172026202020232017201850010001.5k2.0k2.5k

Peers

Anil A. Bharath
Comparison fields: 5 of 194
  • Computer Vision and Pattern Recognition 2.4k
  • Artificial Intelligence 2.1k
  • Radiology, Nuclear Medicine and Imaging 1.0k
  • Electrical and Electronic Engineering 910
  • Computer Networks and Communications 855
Replace Kwang‐Ting Cheng with:
Kwang‐Ting Cheng United States
Yi Zhang China
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Anil A. Bharath relative to Kwang‐Ting Cheng United States Kwang‐Ting Cheng's profile →
Citations per field
00.5×1.7×
Kwang‐Ting Cheng · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 1
2 1
3 3
4 9
5 22
6 16
7
Comparing recurrent and convolutional neural networks for predicting wave propagation.
1
8
Generative Adversarial Networks: An Overviewbreakdown →
2721
9
Conditional Autoencoders with Adversarial Information Factorization
6
10
Deep Reinforcement Learning: A Brief Surveybreakdown →
2731
11 4
12
Patch-based feature maps for pixel-level image segmentation
2
13
Spatio-Temporal Registration and Microvasculature Segmentation of Retinal Angiogram Sequences.
1
14 87
15 8
16
Next generation artificial vision systems : reverse engineering the human visual system
11
17 6
18 310
19 43
20 149

About Anil A. Bharath

Anil A. Bharath is a scholar working on Computer Vision and Pattern Recognition, Health Informatics and Radiology, Nuclear Medicine and Imaging, having authored 114 papers that have together received 7.5k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (14 papers), Retinal Imaging and Analysis (14 papers) and Image and Signal Denoising Methods (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.4k citations), Artificial Intelligence (2.1k citations) and Ophthalmology (511 citations). Anil A. Bharath has collaborated with scholars based in United Kingdom, United States and Türkiye. Frequent 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. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

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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