Dor Bank

498 total citations
2 papers, 13 citations indexed

About

Dor Bank is a scholar working on Ophthalmology, Epidemiology and Artificial Intelligence. According to data from OpenAlex, Dor Bank has authored 2 papers receiving a total of 13 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Ophthalmology, 1 paper in Epidemiology and 1 paper in Artificial Intelligence. Recurrent topics in Dor Bank's work include Machine Learning and Algorithms (1 paper), Machine Learning and Data Classification (1 paper) and Ophthalmology and Visual Impairment Studies (1 paper). Dor Bank is often cited by papers focused on Machine Learning and Algorithms (1 paper), Machine Learning and Data Classification (1 paper) and Ophthalmology and Visual Impairment Studies (1 paper). Dor Bank collaborates with scholars based in Israel. Dor Bank's co-authors include Nir Sorkin, Eyal Cohen‬‏, Raja Giryes and David Varssano and has published in prestigious journals such as International Ophthalmology and arXiv (Cornell University).

In The Last Decade

Dor Bank

2 papers receiving 13 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dor Bank Israel	2	12	8	7	2	1	2	13
Rhys Davies United Kingdom	2	7 0.6×	7 0.9×	4 0.6×	3 1.5×		5	11
Claude Chaumeil France	2	11 0.9×	8 1.0×	14 2.0×	1 0.5×	1 1.0×	2	19
Vincent Dinot France	3	11 0.9×	6 0.8×	5 0.7×	6 3.0×	1 1.0×	6	18
Doug Rhee United States	2	5 0.4×	11 1.4×	6 0.9×			2	11
Ágnes Kerényi Hungary	3	16 1.3×	6 0.8×	7 1.0×	2 1.0×	1 1.0×	9	22
Sutha Sanmugasundram Australia	2	22 1.8×	31 3.9×	7 1.0×	3 1.5×		3	32
Alexa Beiser United States	3	4 0.3×	3 0.4×	3 0.4×	1 0.5×		9	11
H Farid Egypt	2	16 1.3×	17 2.1×	3 0.4×	10 5.0×		4	29
Anasaini Cama Australia	3	9 0.8×	9 1.1×	4 0.6×	14 7.0×	1 1.0×	4	22
Fatema Asi Germany	3	34 2.8×	30 3.8×	11 1.6×	4 2.0×		4	36

Countries citing papers authored by Dor Bank

Since Specialization

Citations

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

Fields of papers citing papers by Dor Bank

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dor Bank

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

All Works

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2 of 2 papers shown

1.

Cohen‬‏, Eyal, Dor Bank, Nir Sorkin, Raja Giryes, & David Varssano. (2022). Use of machine learning to achieve keratoconus detection skills of a corneal expert. International Ophthalmology. 42(12). 3837–3847. 12 indexed citations

2.

Bank, Dor, et al.. (2017). Improved Training for Self-Training.. arXiv (Cornell University). 1 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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