Ayelet Goldstein

495 total citations
26 papers, 238 citations indexed

About

Ayelet Goldstein is a scholar working on Computational Mechanics, Artificial Intelligence and Mechanical Engineering. According to data from OpenAlex, Ayelet Goldstein has authored 26 papers receiving a total of 238 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computational Mechanics, 5 papers in Artificial Intelligence and 5 papers in Mechanical Engineering. Recurrent topics in Ayelet Goldstein's work include Fluid Dynamics and Mixing (4 papers), Electronic Health Records Systems (4 papers) and Biomedical Text Mining and Ontologies (3 papers). Ayelet Goldstein is often cited by papers focused on Fluid Dynamics and Mixing (4 papers), Electronic Health Records Systems (4 papers) and Biomedical Text Mining and Ontologies (3 papers). Ayelet Goldstein collaborates with scholars based in Israel, United States and Netherlands. Ayelet Goldstein's co-authors include Neima Brauner, Amos Ullmann, Yuval Shaḥar, Erez Shalom, Rimma Perotte, Mor Peleg, Jan Claassen, Silvana Quaglini, M. Elena Hernando and Denis Klimov and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Multiphase Flow.

In The Last Decade

Ayelet Goldstein

22 papers receiving 234 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ayelet Goldstein Israel 8 79 71 55 52 29 26 238
Bernardo Martins Rocha Brazil 9 44 0.6× 21 0.3× 7 0.1× 34 0.7× 50 1.7× 31 331
Carol Hunter Australia 6 25 0.3× 90 1.3× 18 0.3× 13 0.3× 3 0.1× 21 308
Muhammad Khalid Pakistan 12 210 2.7× 159 2.2× 28 0.5× 147 2.8× 6 0.2× 57 467
John A. Cosgrove United Kingdom 12 136 1.7× 218 3.1× 4 0.1× 42 0.8× 14 0.5× 40 431
Tyler Rhodes United States 7 24 0.3× 46 0.6× 21 0.4× 36 0.7× 12 324
Surekha Kamath India 10 48 0.6× 4 0.1× 47 0.9× 13 0.3× 4 0.1× 49 534
Syed Arefinul Haque United States 7 47 0.6× 6 0.1× 14 0.3× 12 0.2× 3 0.1× 18 238
Alexander L. Hornung United States 13 98 1.2× 85 1.2× 18 0.3× 3 0.1× 2 0.1× 38 446
Mahmoud Ismail United States 9 35 0.4× 74 1.0× 11 0.2× 9 0.2× 11 0.4× 26 266

Countries citing papers authored by Ayelet Goldstein

Since Specialization
Citations

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

Fields of papers citing papers by Ayelet Goldstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ayelet Goldstein

This figure shows the co-authorship network connecting the top 25 collaborators of Ayelet Goldstein. A scholar is included among the top collaborators of Ayelet Goldstein 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 Ayelet Goldstein. Ayelet Goldstein 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
1.
Chowers, Itay, et al.. (2025). Investigating the impact of age and sex on cataract surgery complications and outcomes. Scientific Reports. 15(1). 1242–1242.
2.
Shalom, Erez, et al.. (2024). Implementation and evaluation of a system for assessment of the quality of long-term management of patients at a geriatric hospital. Journal of Biomedical Informatics. 156. 104686–104686.
3.
Goldstein, Ayelet, et al.. (2024). Ophthalmology Residents’ Experience in Cataract Surgery: Preoperative Risk Factors, Intraoperative Complications, and Surgical Outcomes. Ophthalmology and Therapy. 13(6). 1783–1798. 2 indexed citations
4.
Goldstein, Ayelet, Yuval Shaḥar, Hagit Peleg, et al.. (2024). Multi-Dimensional Validation of the Integration of Syntactic and Semantic Distance Measures for Clustering Fibromyalgia Patients in the Rheumatic Monitor Big Data Study. Bioengineering. 11(1). 97–97. 1 indexed citations
5.
Goldstein, Ayelet, et al.. (2024). Prediction of proliferative diabetic retinopathy using machine learning in Latino and non‐Hispanic black cohorts with routine blood and urine testing. Ophthalmic and Physiological Optics. 45(6). 1549–1567. 1 indexed citations
6.
Brauner, Neima, et al.. (2023). Slip boundary condition near the wall-interface contact line in axial stratified two-phase flow. Applied Mathematical Modelling. 126. 828–853. 1 indexed citations
7.
Doron, Ravid, Ariela Gordon‐Shaag, Einat Shneor, Ayelet Goldstein, & Lisa A. Ostrin. (2023). Objective quantification of viewing behaviours during printed and electronic tasks in emmetropic and myopic ultra‐Orthodox Jewish men. Ophthalmic and Physiological Optics. 43(3). 337–346. 3 indexed citations
8.
Shalom, Erez, et al.. (2022). Distributed application of guideline-based decision support through mobile devices: Implementation and evaluation. Artificial Intelligence in Medicine. 129. 102324–102324. 6 indexed citations
9.
Goldstein, Ayelet, et al.. (2021). Local behavior near triple point in a laminar two-phase flow in an arbitrary tube cross-section. Applied Mathematical Modelling. 99. 739–759. 6 indexed citations
10.
Goldstein, Ayelet, et al.. (2019). Potential problems on surfaces: With or without boundary, subjected to discrete distributed sources. Results in Physics. 12. 1697–1711.
11.
Goldstein, Ayelet, et al.. (2019). Gauss’ law for moving charges from first principles. Results in Physics. 14. 102454–102454. 6 indexed citations
12.
Albers, David J., Noémie Elhadad, Jan Claassen, et al.. (2018). Estimating summary statistics for electronic health record laboratory data for use in high-throughput phenotyping algorithms. Journal of Biomedical Informatics. 78. 87–101. 16 indexed citations
13.
14.
Goldstein, Ayelet, et al.. (2017). Evaluation of an automated knowledge-based textual summarization system for longitudinal clinical data, in the intensive care domain. Artificial Intelligence in Medicine. 82. 20–33. 9 indexed citations
15.
Goldstein, Ayelet, Amos Ullmann, & Neima Brauner. (2017). Exact solutions of core-annular laminar inclined flows. International Journal of Multiphase Flow. 93. 178–204. 20 indexed citations
16.
Goldstein, Ayelet & Yuval Shaḥar. (2016). An automated knowledge-based textual summarization system for longitudinal, multivariate clinical data. Journal of Biomedical Informatics. 61. 159–175. 30 indexed citations
17.
Goldstein, Ayelet, et al.. (2013). Building spectral element dynamic matrices using finite element models of waveguide slices and elastodynamic equations. SHILAP Revista de lepidopterología. 2 indexed citations
18.
Arruda, José Roberto de França, et al.. (2011). Study of Elastic Band-Gaps in Finite Periodic Structure Using Finite Element Models. 2 indexed citations
19.
Fink, Eugene, Ayelet Goldstein, Patrick M. Hayes, & Jaime Carbonell. (2005). Search for approximate matches in large databases. 2. 1431–1435. 2 indexed citations
20.
Ullmann, Amos, et al.. (2004). Closure relations for the shear stresses in two-fluid models for laminar stratified flow. International Journal of Multiphase Flow. 30(7-8). 877–900. 42 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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