Praveer Singh

4.0k citations
58 papers · 1.3k indexed · h-index 20
Topics
Retinopathy of Prematurity Studies (15 papers)Neonatal and fetal brain pathology (13 papers)Retinal Imaging and Analysis (10 papers)
Journals
SHILAP Revista de lepidopterologíaNano LettersPEDIATRICS
Partner nations
United StatesIndiaFrance

In The Last Decade

Praveer Singh

49 papers receiving 1.3k citations

Peers

Praveer Singh
Comparison fields: 5 of 147
  • Radiology, Nuclear Medicine and Imaging 519
  • Artificial Intelligence 259
  • Computer Vision and Pattern Recognition 253
  • Pulmonary and Respiratory Medicine 156
  • Media Technology 156
Replace Chung‐Ming Chen with:
Chung‐Ming Chen Taiwan
Gregor Urban United States
Feng Yang China
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Praveer Singh relative to Chung‐Ming Chen Taiwan Chung‐Ming Chen's profile →
Citations per field
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Chung‐Ming Chen · 1×
Citations per year

Countries citing papers authored by Praveer Singh

Since Specialization
Citations

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

Fields of papers citing papers by Praveer Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Praveer Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Praveer Singh. A scholar is included among the top collaborators of Praveer Singh 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 Praveer Singh. Praveer Singh 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 38
2 5
3 5
4 5
5 10
6 9
7 21
8 25
9 147
10
A risk model for early detection of treatment-requiring retinopathy of prematurity using a deep learning-derived vascular severity score
1
11
External validation of a deep learning algorithm for plus disease classification on a multinational ROP dataset
0
12
Automated detection of genetic relatedness from fundus photographs using Convolutional Siamese Neural Networks
1
13 40
14 105
15
Retinal Fundus Image Generation in Retinopathy of Prematurity Using Autoregressive Generative Models
2
16
Utility of an automated deep learning tool in a low-income country for retinopathy of prematurity
1
17 37
18 77
19 32
20 0

About Praveer Singh

Praveer Singh is a scholar working on Health Informatics, Toxicology and Radiology, Nuclear Medicine and Imaging, having authored 58 papers that have together received 1.3k indexed citations. Recurring topics across this work include Retinopathy of Prematurity Studies (15 papers), Neonatal and fetal brain pathology (13 papers) and Retinal Imaging and Analysis (10 papers). The work is most often cited by research in Health Informatics (123 citations), Radiology, Nuclear Medicine and Imaging (519 citations) and Media Technology (156 citations). Praveer Singh has collaborated with scholars based in United States, India and France. Frequent co-authors include Nikos Komodakis, Jayashree Kalpathy–Cramer, Ken Chang, Matthew Li, Katharina Hoebel, J. Peter Campbell, Mishka Gidwani, Nishanth Arun, Michael F. Chiang and R.V. Paul Chan. Their work appears in journals such as SHILAP Revista de lepidopterología, Nano Letters and PEDIATRICS.

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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