Rawan Al-Lozi

590 total citations
11 papers, 28 citations indexed

About

Rawan Al-Lozi is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Radiation. According to data from OpenAlex, Rawan Al-Lozi has authored 11 papers receiving a total of 28 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Pulmonary and Respiratory Medicine and 5 papers in Radiation. Recurrent topics in Rawan Al-Lozi's work include Advanced Radiotherapy Techniques (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Lung Cancer Diagnosis and Treatment (2 papers). Rawan Al-Lozi is often cited by papers focused on Advanced Radiotherapy Techniques (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Lung Cancer Diagnosis and Treatment (2 papers). Rawan Al-Lozi collaborates with scholars based in United States and Canada. Rawan Al-Lozi's co-authors include Issam El Naqa, Aditya Apte, Jung Hun Oh, David B. Mansur, Gisèle Pereira, S Goddu, Jeffrey D. Bradley, Issam M. El Naqa, Sasha Kravets and Nita Valikodath and has published in prestigious journals such as PLoS ONE, International Journal of Radiation Oncology*Biology*Physics and Journal of Pediatric Ophthalmology & Strabismus.

In The Last Decade

Rawan Al-Lozi

10 papers receiving 26 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Rawan Al-Lozi United States 3 16 14 12 6 4 11 28
Fang-I Chu United States 4 20 1.3× 10 0.7× 8 0.7× 3 0.5× 6 40
M. Fritsch Germany 4 23 1.4× 14 1.0× 18 1.5× 5 1.3× 9 34
Jordan Anaokar United States 4 28 1.8× 23 1.6× 6 0.5× 4 1.0× 8 37
E. Aynsley United Kingdom 3 17 1.1× 12 0.9× 16 1.3× 1 0.3× 5 23
Jonathan Hicks United Kingdom 5 11 0.7× 10 0.7× 6 0.5× 8 2.0× 12 36
N. A. Smith United States 2 19 1.2× 11 0.8× 17 1.4× 2 31
C. Finck France 3 14 0.9× 9 0.6× 12 1.0× 4 21
A. Russomando Italy 4 27 1.7× 25 1.8× 20 1.7× 8 42
Christiane Reuter Switzerland 3 31 1.9× 9 0.6× 12 1.0× 6 38
G Tao Australia 3 8 0.5× 9 0.6× 14 1.2× 4 18

Countries citing papers authored by Rawan Al-Lozi

Since Specialization
Citations

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

Fields of papers citing papers by Rawan Al-Lozi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rawan Al-Lozi

This figure shows the co-authorship network connecting the top 25 collaborators of Rawan Al-Lozi. A scholar is included among the top collaborators of Rawan Al-Lozi 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 Rawan Al-Lozi. Rawan Al-Lozi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Al-Lozi, Rawan, et al.. (2022). Association between myopia progression and quantity of laser treatment for retinopathy of prematurity. PLoS ONE. 17(12). e0279898–e0279898. 1 indexed citations
2.
Al-Khaled, Tala, Samir Patel, Nita Valikodath, et al.. (2022). Characterization of Errors in Retinopathy of Prematurity Diagnosis by Ophthalmologists-in-Training in the United States and Canada. Journal of Pediatric Ophthalmology & Strabismus. 60(5). 337–343. 1 indexed citations
3.
Oh, Jung Hun, Aditya Apte, Rawan Al-Lozi, Jeffrey D. Bradley, & Issam M. El Naqa. (2017). Towards Prediction of Radiation Pneumonitis Arising from Lung Cancer Patients Using Machine Learning Approaches. 1(1). 30–43. 1 indexed citations
4.
Apte, Aditya, Rawan Al-Lozi, Gisele Damiana da Silveira Pereira, et al.. (2017). A Graphical Tool and Methods for Assessing Margin Definition From Daily Image Deformations. 2(1). 9–19.
5.
Pereira, Gisèle, Issam El Naqa, S Goddu, et al.. (2012). Determination of planning target volume for whole stomach irradiation using daily megavoltage computed tomographic images. Practical Radiation Oncology. 2(4). e85–e88. 11 indexed citations
6.
Apte, Aditya, Rawan Al-Lozi, Gisèle Pereira, et al.. (2010). A Graphical Tool and Methods for Assessing Margin Definition From Daily Image Deformations. Journal of Radiation Oncology. 2(1). 9–19. 2 indexed citations
7.
Naqa, Issam M. El, et al.. (2010). Assessment of PTV for Whole Stomach Irradiation Using Daily Megavoltage CT. International Journal of Radiation Oncology*Biology*Physics. 78(3). S554–S554. 1 indexed citations
8.
Creach, Kimberly M., Rawan Al-Lozi, Issam El Naqa, et al.. (2010). Dosimetric Prediction of Chest Wall Toxicity after Lung SBRT. International Journal of Radiation Oncology*Biology*Physics. 78(3). S181–S182. 3 indexed citations
9.
Oh, Jung Hun, Jeffrey M. Craft, Rawan Al-Lozi, et al.. (2010). Predicting Local Failure in Lung Cancer Using Bayesian Networks. 6. 735–739. 1 indexed citations
10.
Craft, Jeffrey M., Sarah J. Spencer, Rawan Al-Lozi, et al.. (2009). Integrating Serum Biomarkers and Dose–volume Metrics to Predict Radiation Pneumonitis. International Journal of Radiation Oncology*Biology*Physics. 75(3). S108–S109. 1 indexed citations
11.
Oh, Jung Hun, Rawan Al-Lozi, & Issam El Naqa. (2009). Application of Machine Learning Techniques for Prediction of Radiation Pneumonitis in Lung Cancer Patients. 5. 478–483. 6 indexed citations

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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