Tala Al-Khaled

448 citations
20 papers · 257 indexed · h-index 10

Tala Al-Khaled

17 papers receiving 252 citations

Peers

Tala Al-Khaled
Comparison fields: 5 of 53
  • Health Informatics 26
  • Ophthalmology 117
  • Radiology, Nuclear Medicine and Imaging 180
  • Pediatrics, Perinatology and Child Health 70
  • Pulmonary and Respiratory Medicine 71
Replace Renu P. Rajan with:
Renu P. Rajan India
Robison Vernon Paul Chan United States
Divya Balakrishnan India
Astha Jain India
Raymond Wong Hong Kong
Sunny Virmani United States
Shanjun Wu China
Angelica Ly Australia
Marco H. Ji United States
Cindy X. Cai United States
Tala Al-Khaled relative to Renu P. Rajan India Renu P. Rajan's profile →
Citations per field
00.5×1.5×
Renu P. Rajan · 1×
Citations per year

Countries citing papers authored by Tala Al-Khaled

Since Specialization
Citations

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

Fields of papers citing papers by Tala Al-Khaled

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tala Al-Khaled. 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 Tala Al-Khaled. The network helps show where Tala Al-Khaled may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Tala Al-Khaled, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tala Al-Khaled Line = papers co-authored together Tala Al-Khaled links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20253
2 20229
3 20229
4 20220
5 20229
6 20220
7 20222
8 202226
9 20221
10 202152
11 202140
12 202121
13
Evaluation of an Artificial Intelligence System (i-ROP DL) for Retinopathy of Prematurity Screening in Nepal using the Forus 3nethra neo and in Mongolia using the Retcam Portable®
20212
14 202115
15
Utility of an automated deep learning tool in a low-income country for retinopathy of prematurity
20201
16 20200
17
Evaluation of physician perspectives of artificial intelligence in ophthalmology: a pilot study
20205
18 201911
19 20199
20 201842

About Tala Al-Khaled

Tala Al-Khaled is a scholar working on Health Informatics, Ophthalmology and Radiology, Nuclear Medicine and Imaging, having authored 20 papers that have together received 257 indexed citations. Recurring topics across this work include Retinopathy of Prematurity Studies (13 papers), Neonatal and fetal brain pathology (7 papers), Neonatal Respiratory Health Research (6 papers), Retinal Imaging and Analysis (5 papers), Retinal Diseases and Treatments (5 papers), Retinal and Optic Conditions (3 papers), Artificial Intelligence in Healthcare and Education (3 papers) and Ophthalmology and Visual Health Research (3 papers). The work is most often cited by research in Health Informatics (26 citations), Ophthalmology (117 citations) and Radiology, Nuclear Medicine and Imaging (180 citations). Tala Al-Khaled has collaborated with scholars based in United States, Nepal and Mongolia. Frequent co-authors include R.V. Paul Chan, Nita Valikodath, Michael F. Chiang, Emily Cole, J. Peter Campbell, Ahmad A. Aref, Wei‐Chi Wu, Andrew Tsai, Vivien Yap and Joelle Hallak. Their work appears in journals such as SHILAP Revista de lepidopterología, Progress in Retinal and Eye Research and Investigative Ophthalmology & Visual Science.

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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2026