Uri Shaham
- Artificial Intelligence top 2%
- Radiology, Nuclear Medicine and Imaging top 5%
- Molecular Biology
- Pulmonary and Respiratory Medicine
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Alexander CloningerYuval KlugerTingting JiangJonathan BatesJared KatzmanSahand NegahbanYutaro YamadaRonald R. Coifman
- Topics
- Topic Modeling (6 papers)Natural Language Processing Techniques (5 papers)Image and Signal Denoising Methods (2 papers)
- Journals
- BioinformaticsInternational Journal of Radiation Oncology*Biology*PhysicsPattern Recognition
- Partner nations
- United StatesIsrael
In The Last Decade
Uri Shaham
16 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Artificial Intelligence 748
- Radiology, Nuclear Medicine and Imaging 386
- Molecular Biology 325
- Pulmonary and Respiratory Medicine 187
- Computer Vision and Pattern Recognition 154
Countries citing papers authored by Uri Shaham
This map shows the geographic impact of Uri Shaham'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 Uri Shaham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Uri Shaham more than expected).
Fields of papers citing papers by Uri Shaham
This network shows the impact of papers produced by Uri Shaham. 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 Uri Shaham. The network helps show where Uri Shaham may publish in the future.
Co-authorship network of co-authors of Uri Shaham
This figure shows the co-authorship network connecting the top 25 collaborators of Uri Shaham. A scholar is included among the top collaborators of Uri Shaham 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 Uri Shaham. Uri Shaham is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 3 | |
| 3 | 28 | |
| 4 | 7 | |
| 5 | 18 | |
| 6 | 15 | |
| 7 | 27 | |
| 8 | 4 | |
| 9 | DeepSurv: personalized treatment recommender system using a Cox proportional hazards deep neural networkbreakdown → | 973 |
| 10 | 157 | |
| 11 | 58 | |
| 12 | 23 | |
| 13 | 5 | |
| 14 | 110 | |
| 15 | 24 | |
| 16 | 111 |
About Uri Shaham
Uri Shaham is a scholar working on Artificial Intelligence, Biophysics and Statistics and Probability, having authored 16 papers that have together received 1.6k indexed citations. Recurring topics across this work include Topic Modeling (6 papers), Natural Language Processing Techniques (5 papers) and Image and Signal Denoising Methods (2 papers). The work is most often cited by research in Health Informatics (32 citations), Artificial Intelligence (748 citations) and Radiology, Nuclear Medicine and Imaging (386 citations). Uri Shaham has collaborated with scholars based in United States and Israel. Frequent co-authors include Alexander Cloninger, Yuval Kluger, Tingting Jiang, Jonathan Bates, Jared Katzman, Sahand Negahban, Yutaro Yamada, Ronald R. Coifman, Kelly Stanton and Huamin Li. Their work appears in journals such as Bioinformatics, International Journal of Radiation Oncology*Biology*Physics and Pattern Recognition.
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.