Dror Lederman
Impact in
- Pharmacy top 5%
- Infant Health and Development
- Artificial Intelligence top 10%
- AI in cancer detection
- Speech Recognition and Synthesis
Papers in
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- AI in cancer detection 14
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- Airway Management and Intubation Techniques 5
- Anesthesia and Sedative Agents 3
- Co-authors
- Bin Zheng (21 shared papers)Xingwei Wang (12 shared papers)Jun Tan (7 shared papers)Xiao Hui Wang (4 shared papers)David Gur (9 shared papers)Joseph Tabrikian (2 shared papers)Yaniv Zigel (4 shared papers)Kathleen Wermke (2 shared papers)
- Journals
- Academic Radiology (4 papers)Annals of Biomedical Engineering (2 papers)Anesthesia & Analgesia (2 papers)Frontiers in Neuroscience (2 papers)Medical Physics (2 papers)
- Partner nations
- United StatesIsraelChina
In The Last Decade
Dror Lederman
36 papers receiving 507 citations
Peers
Comparison fields: 5 of 81
- Pharmacy 74
- Artificial Intelligence 257
- Radiology, Nuclear Medicine and Imaging 144
- Signal Processing 51
- Pulmonary and Respiratory Medicine 124
Countries citing papers authored by Dror Lederman
This map shows the geographic impact of Dror Lederman'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 Dror Lederman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dror Lederman more than expected).
Fields of papers citing papers by Dror Lederman
This network shows the impact of papers produced by Dror Lederman. 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 Dror Lederman. The network helps show where Dror Lederman may publish in the future.
Co-authors
The 25 scholars most cited alongside Dror Lederman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 59 | |
| 2 | 2011 | 53 | |
| 3 | 2018 | 33 | |
| 4 | 2010 | 31 | |
| 5 | 2010 | 30 | |
| 6 | 2008 | 30 | |
| 7 | 2003 | 29 | |
| 8 | 2012 | 26 | |
| 9 | 2010 | 25 | |
| 10 | 2012 | 19 | |
| 11 | 2011 | 19 | |
| 12 | 2018 | 18 | |
| 13 | 2006 | 18 | |
| 14 | AUTOMATIC CLASSIFICATION OF INFANTS ’ CRY | 2002 | 17 |
| 15 | 2011 | 13 | |
| 16 | 2024 | 13 | |
| 17 | 2021 | 11 | |
| 18 | 2010 | 10 | |
| 19 | 2010 | 10 | |
| 20 | 2018 | 10 |
About Dror Lederman
Dror Lederman is a scholar working on Artificial Intelligence, Anesthesiology and Pain Medicine, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Biophysics, having authored 38 papers that have together received 531 indexed citations. Recurring topics across this work include AI in cancer detection (14 papers), Digital Radiography and Breast Imaging (6 papers), Airway Management and Intubation Techniques (5 papers), Image Retrieval and Classification Techniques (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Obstructive Sleep Apnea Research (3 papers), Anesthesia and Sedative Agents (3 papers) and Lung Cancer Diagnosis and Treatment (3 papers). The work is most often cited by research in Pharmacy (74 citations), Artificial Intelligence (257 citations), Radiology, Nuclear Medicine and Imaging (144 citations), Signal Processing (51 citations) and Pulmonary and Respiratory Medicine (124 citations). Dror Lederman has collaborated with scholars based in United States, Israel and China. Frequent co-authors include Bin Zheng, Xingwei Wang, Jun Tan, Xiao Hui Wang, David Gur, Joseph Tabrikian, Yaniv Zigel, Kathleen Wermke, Ehud Zmora and Angelika Stellzig‐Eisenhauer. Their work appears in journals such as Academic Radiology, Annals of Biomedical Engineering, Anesthesia & Analgesia, Frontiers in Neuroscience and Medical Physics.
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.