Tomer Golany

522 total citations
11 papers, 241 citations indexed

About

Tomer Golany is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Tomer Golany has authored 11 papers receiving a total of 241 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cardiology and Cardiovascular Medicine, 3 papers in Pulmonary and Respiratory Medicine and 3 papers in Oncology. Recurrent topics in Tomer Golany's work include ECG Monitoring and Analysis (6 papers), Cardiac electrophysiology and arrhythmias (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Tomer Golany is often cited by papers focused on ECG Monitoring and Analysis (6 papers), Cardiac electrophysiology and arrhythmias (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Tomer Golany collaborates with scholars based in Israel, United States and Ireland. Tomer Golany's co-authors include Kira Radinsky, Daniel Z. Freedman, Gal Lavee, Ehud Rivlin, Greg S. Corrado, Yossi Matias, Yun Liu, Amit Aides, Petachia Reissman and Wisam Khoury and has published in prestigious journals such as Gastrointestinal Endoscopy, Surgical Endoscopy and Journal of Clinical Medicine.

In The Last Decade

Tomer Golany

10 papers receiving 231 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tomer Golany Israel	6	160	98	57	57	36	11	241
Gabriel García Spain	11	164 1.0×	121 1.2×	85 1.5×	47 0.8×	7 0.2×	15	298
Deboleena Sadhukhan India	10	274 1.7×	130 1.3×	174 3.1×	34 0.6×	6 0.2×	29	332
Qiang Zhu China	10	109 0.7×	26 0.3×	117 2.1×	30 0.5×	6 0.2×	31	261
Ang Peng Chuan Alvin Singapore	6	138 0.9×	165 1.7×	29 0.5×	100 1.8×	6 0.2×	7	365
Qingsong Xie China	11	141 0.9×	44 0.4×	142 2.5×	14 0.2×	7 0.2×	36	307
Zhaohan Xiong New Zealand	9	344 2.1×	138 1.4×	74 1.3×	51 0.9×	6 0.2×	13	524
Yun Hu China	4	289 1.8×	183 1.9×	200 3.5×	33 0.6×	10 0.3×	7	356
Xinge Jiang China	10	204 1.3×	119 1.2×	104 1.8×	72 1.3×	36 1.0×	24	373
Youdan Feng China	10	77 0.5×	25 0.3×	141 2.5×	39 0.7×	9 0.3×	23	291

Countries citing papers authored by Tomer Golany

Since Specialization

Citations

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

Fields of papers citing papers by Tomer Golany

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomer Golany

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

All Works

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11 of 11 papers shown

Cohen, Regev, et al.. (2024). Random Walks for Temporal Action Segmentation with Timestamp Supervision. 6600–6610. 1 indexed citations

Leifman, George, Tomer Golany, Ehud Rivlin, et al.. (2024). Real-time artificial intelligence validation of critical view of safety in laparoscopic cholecystectomy. Intelligence-Based Medicine. 10. 100153–100153. 2 indexed citations

Golany, Tomer, Amit Aides, Daniel Z. Freedman, et al.. (2022). Artificial intelligence for phase recognition in complex laparoscopic cholecystectomy. Surgical Endoscopy. 36(12). 9215–9223. 34 indexed citations

Golany, Tomer, et al.. (2022). Physicians and Machine-Learning Algorithm Performance in Predicting Left-Ventricular Systolic Dysfunction from a Standard 12-Lead-Electrocardiogram. Journal of Clinical Medicine. 11(22). 6767–6767. 4 indexed citations

Leifman, George, Amit Aides, Tomer Golany, Daniel Z. Freedman, & Ehud Rivlin. (2022). Pixel-accurate Segmentation of Surgical Tools based on Bounding Box Annotations. 2022 26th International Conference on Pattern Recognition (ICPR). 5096–5103. 1 indexed citations

Golany, Tomer, Kira Radinsky, Daniel Z. Freedman, & Sa’ar Minha. (2021). 12-Lead ECG Reconstruction via Koopman Operators. International Conference on Machine Learning. 3745–3754. 1 indexed citations

Livovsky, Dan M., Tomer Golany, Amit Aides, et al.. (2021). Detection of elusive polyps using a large-scale artificial intelligence system (with videos). Gastrointestinal Endoscopy. 94(6). 1099–1109.e10. 18 indexed citations

Golany, Tomer, Daniel Z. Freedman, & Kira Radinsky. (2021). ECG ODE-GAN: Learning Ordinary Differential Equations of ECG Dynamics via Generative Adversarial Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 35(1). 134–141. 24 indexed citations

Golany, Tomer, et al.. (2020). Improving ECG Classification Using Generative Adversarial Networks. Proceedings of the AAAI Conference on Artificial Intelligence. 34(8). 13280–13285. 42 indexed citations

10.

Golany, Tomer, Daniel Z. Freedman, & Kira Radinsky. (2020). SimGANs: Simulator-Based Generative Adversarial Networks for ECG Synthesis to Improve Deep ECG Classification. arXiv (Cornell University). 1. 3597–3606. 18 indexed citations

11.

Golany, Tomer & Kira Radinsky. (2019). PGANs: Personalized Generative Adversarial Networks for ECG Synthesis to Improve Patient-Specific Deep ECG Classification. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 557–564. 96 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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