Naama Hammel

2.0k total citations · 1 hit paper
41 papers, 1.2k citations indexed

About

Naama Hammel is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology and Artificial Intelligence. According to data from OpenAlex, Naama Hammel has authored 41 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Radiology, Nuclear Medicine and Imaging, 28 papers in Ophthalmology and 5 papers in Artificial Intelligence. Recurrent topics in Naama Hammel's work include Retinal Imaging and Analysis (24 papers), Glaucoma and retinal disorders (21 papers) and Retinal Diseases and Treatments (16 papers). Naama Hammel is often cited by papers focused on Retinal Imaging and Analysis (24 papers), Glaucoma and retinal disorders (21 papers) and Retinal Diseases and Treatments (16 papers). Naama Hammel collaborates with scholars based in United States, Israel and India. Naama Hammel's co-authors include Felipe A. Medeiros, Robert N. Weinreb, Dale R. Webster, Greg S. Corrado, Lily Peng, Linda M. Zangwill, Yun Liu, Akram Belghith, Christopher A. Girkin and Jeffrey M. Liebmann and has published in prestigious journals such as Nature Medicine, PLoS ONE and Ophthalmology.

In The Last Decade

Naama Hammel

38 papers receiving 1.2k 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.

Using a Deep Learning Algorithm and Integrated Gradients Explanation to Assist Grading for Diabetic Retinopathy

2018 250 citations Rory Sayres, Ankur Taly et al. Ophthalmology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Naama Hammel United States	16	874	814	162	122	112	41	1.2k
Kátia D. Pacheco United States	10	860 1.0×	703 0.9×	127 0.8×	96 0.8×	199 1.8×	20	1.1k
Gilbert Lim Singapore	16	1.1k 1.3×	854 1.0×	156 1.0×	150 1.2×	239 2.1×	33	1.4k
An Ran Ran Hong Kong	16	684 0.8×	565 0.7×	101 0.6×	63 0.5×	101 0.9×	41	852
Yuchen Xie China	12	497 0.6×	358 0.4×	79 0.5×	95 0.8×	109 1.0×	26	748
Carson Lam United States	13	606 0.7×	290 0.4×	275 1.7×	92 0.8×	179 1.6×	25	1.1k
Susan Ostmo United States	22	1.5k 1.7×	735 0.9×	92 0.6×	59 0.5×	73 0.7×	86	1.7k
Louis R. Pasquale United States	4	542 0.6×	455 0.6×	56 0.3×	101 0.8×	56 0.5×	4	753
Qianzhong Cao China	13	325 0.4×	324 0.4×	80 0.5×	64 0.5×	64 0.6×	37	648
T. Y. Alvin Liu United States	13	369 0.4×	361 0.4×	52 0.3×	47 0.4×	54 0.5×	57	598
Peter A. Karth United States	12	469 0.5×	473 0.6×	68 0.4×	42 0.3×	72 0.6×	23	716

Countries citing papers authored by Naama Hammel

Since Specialization

Citations

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

Fields of papers citing papers by Naama Hammel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naama Hammel

This figure shows the co-authorship network connecting the top 25 collaborators of Naama Hammel. A scholar is included among the top collaborators of Naama Hammel 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 Naama Hammel. Naama Hammel 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

Praveen, Pradeep A., Arthur Brant, Xiang Yin, et al.. (2025). Validation of a Deep Learning Model for Diabetic Retinopathy on Patients with Young-Onset Diabetes. Ophthalmology and Therapy. 14(5). 1147–1155. 2 indexed citations

Li, Brenna, Mathias S. Fleck, Renee Wong, et al.. (2024). Conversational AI in health: Design considerations from a Wizard-of-Oz dermatology case study with users, clinicians and a medical LLM. 1–10. 12 indexed citations

Lang, Oran, Doron Stupp, Ilana Traynis, et al.. (2024). Using generative AI to investigate medical imagery models and datasets. EBioMedicine. 102. 105075–105075. 25 indexed citations

Babenko, Boris, Ilana Traynis, Christina Chen, et al.. (2023). A deep learning model for novel systemic biomarkers in photographs of the external eye: a retrospective study. The Lancet Digital Health. 5(5). e257–e264. 20 indexed citations

Al‐Aswad, Lama A., Rithambara Ramachandran, Joel S. Schuman, et al.. (2022). Artificial Intelligence for Glaucoma. Ophthalmology Glaucoma. 5(5). e16–e25. 13 indexed citations

Hammel, Naama, Mike Schaekermann, Sonia Phene, et al.. (2019). A Study of Feature-based Consensus Formation for Glaucoma Risk Assessment. Investigative Ophthalmology & Visual Science. 60(9). 164–164. 1 indexed citations

Schaekermann, Mike, Naama Hammel, Bilson Campana, et al.. (2019). Asynchronous Remote Adjudication for Grading Diabetic Retinopathy. Investigative Ophthalmology & Visual Science. 60(9). 158–158. 1 indexed citations

Phene, Sonia, Naama Hammel, Yun Liu, et al.. (2019). Deep Learning and Glaucoma Specialists. Ophthalmology. 126(12). 1627–1639. 126 indexed citations

Sayres, Rory, Ankur Taly, Ehsan Rahimy, et al.. (2018). Assisted reads for diabetic retinopathy using a deep learning algorithm and integrated gradient explanation. Investigative Ophthalmology & Visual Science. 59(9). 1227–1227. 2 indexed citations

10.

Zangwill, Linda M., Naama Hammel, Christopher Bowd, et al.. (2017). A Longitudinal Analysis of Peripapillary Choroidal Thinning in Healthy and Glaucoma Subjects. American Journal of Ophthalmology. 186. 89–95. 20 indexed citations

11.

Hammel, Naama, et al.. (2017). Comparing the Rates of Retinal Nerve Fiber Layer and Ganglion Cell–Inner Plexiform Layer Loss in Healthy Eyes and in Glaucoma Eyes. American Journal of Ophthalmology. 178. 38–50. 102 indexed citations

12.

Hammel, Naama, Akram Belghith, Felipe A. Medeiros, et al.. (2016). Diagnostic Innovations in Glaucoma Study (DIGS): Comparing the Rates of Macular Ganglion Cell layer loss in Healthy, non-progressing Glaucoma and progressing glaucoma Eyes. Investigative Ophthalmology & Visual Science. 57(12). 373–373. 2 indexed citations

13.

Zhang, Chunwei, Andrew J. Tatham, Ricardo Y. Abe, et al.. (2016). Macular Ganglion Cell Inner Plexiform Layer Thickness in Glaucomatous Eyes with Localized Retinal Nerve Fiber Layer Defects. PLoS ONE. 11(8). e0160549–e0160549. 26 indexed citations

14.

Hammel, Naama, Akram Belghith, Felipe A. Medeiros, et al.. (2015). Diagnostic Innovations in Glaucoma Study (DIGS): Comparing the Rates of Peripapillary Retinal Nerve Fiber layer and Ganglion Cell-Inner Plexiform Layer Loss in Healthy and Glaucoma Eyes. Investigative Ophthalmology & Visual Science. 56(7). 4568–4568. 1 indexed citations

15.

Sharpsten, Lucie, Felipe A. Medeiros, Naira Khachatryan, et al.. (2014). Diagnostic Innovations in Glaucoma Study (DIGS): Diagnostic Accuracy of the Spectralis Normative Database in Differentiating between Healthy and Early Visual Field Defect Eyes. Investigative Ophthalmology & Visual Science. 55(13). 4773–4773.

16.

Miki, Atsuya, Linda M. Zangwill, Sonia Jain, et al.. (2013). Rates of retinal nerve fiber layer thinning in glaucoma suspect eyes. Investigative Ophthalmology & Visual Science. 54(15). 1706–1706. 3 indexed citations

17.

Livny, Eitan, Igor Kaiserman, Naama Hammel, et al.. (2012). The effect of riboflavin–ultraviolet A-induced collagen cross-linking on intraocular pressure measurement: an experimental study. British Journal of Ophthalmology. 96(7). 1029–1033. 1 indexed citations

18.

Hammel, Naama, et al.. (2012). Changes in Anterior Segment Parameters After Insertion of Ex-PRESS Miniature Glaucoma Implant. Journal of Glaucoma. 22(7). 565–568. 16 indexed citations

19.

Hammel, Naama & Irit Bahar. (2011). Descemet-stripping automated endothelial keratoplasty after bee sting of the cornea. Journal of Cataract & Refractive Surgery. 37(9). 1726–1728. 6 indexed citations

20.

Stiebel‐Kalish, Hadas, Naama Hammel, J. van Everdingen, Ruth Huna-Baron, & Andrew G. Lee. (2010). Intravenous immunoglobulin in recurrent-relapsing inflammatory optic neuropathy. Canadian Journal of Ophthalmology. 45(1). 71–75. 12 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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