Naama Hammel

2.0k citations
41 papers · 1.2k indexed · 1 hit paper · h-index 16
Topics
Retinal Imaging and Analysis (24 papers)Glaucoma and retinal disorders (21 papers)Retinal Diseases and Treatments (16 papers)
Partner nations
United StatesIsraelIndia

In The Last Decade

Naama Hammel

38 papers receiving 1.2k citations

Hit Papers

Using a Deep Learning Algorithm and Integrated Gradients ...2018202620202023201850100150200250

Peers

Naama Hammel
Comparison fields: 5 of 111
  • Radiology, Nuclear Medicine and Imaging 874
  • Ophthalmology 814
  • Artificial Intelligence 162
  • Health Informatics 122
  • Computer Vision and Pattern Recognition 112
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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

20 of 20 papers shown
#WorkIndexed citations
1 2
2 12
3 25
4 20
5 13
6
A Study of Feature-based Consensus Formation for Glaucoma Risk Assessment
1
7
Asynchronous Remote Adjudication for Grading Diabetic Retinopathy
1
8 126
9
Assisted reads for diabetic retinopathy using a deep learning algorithm and integrated gradient explanation
2
10 20
11 102
12
Diagnostic Innovations in Glaucoma Study (DIGS): Comparing the Rates of Macular Ganglion Cell layer loss in Healthy, non-progressing Glaucoma and progressing glaucoma Eyes
2
13 26
14
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
1
15
Diagnostic Innovations in Glaucoma Study (DIGS): Diagnostic Accuracy of the Spectralis Normative Database in Differentiating between Healthy and Early Visual Field Defect Eyes
0
16
Rates of retinal nerve fiber layer thinning in glaucoma suspect eyes
3
17 1
18 16
19 6
20 12

About Naama Hammel

Naama Hammel is a scholar working on Ophthalmology, Health Informatics and Radiology, Nuclear Medicine and Imaging, having authored 41 papers that have together received 1.2k indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (24 papers), Glaucoma and retinal disorders (21 papers) and Retinal Diseases and Treatments (16 papers). The work is most often cited by research in Health Informatics (122 citations), Ophthalmology (814 citations) and Radiology, Nuclear Medicine and Imaging (874 citations). Naama Hammel has collaborated with scholars based in United States, Israel and India. Frequent 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. Their work appears in journals such as Nature Medicine, PLoS ONE and Ophthalmology.

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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