Dror Lederman

639 total citations
37 papers, 483 citations indexed

About

Dror Lederman is a scholar working on Artificial Intelligence, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Dror Lederman has authored 37 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 15 papers in Pulmonary and Respiratory Medicine and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Dror Lederman's work include AI in cancer detection (17 papers), Digital Radiography and Breast Imaging (9 papers) and Airway Management and Intubation Techniques (6 papers). Dror Lederman is often cited by papers focused on AI in cancer detection (17 papers), Digital Radiography and Breast Imaging (9 papers) and Airway Management and Intubation Techniques (6 papers). Dror Lederman collaborates with scholars based in United States, Israel and China. Dror Lederman's co-authors include Bin Zheng, Xingwei Wang, Jun Tan, Xiao Hui Wang, David Gur, Joseph Tabrikian, Angelika Stellzig‐Eisenhauer, Ehud Zmora, Kathleen Wermke and Yaniv Zigel and has published in prestigious journals such as Scientific Reports, Anesthesia & Analgesia and Physics in Medicine and Biology.

In The Last Decade

Dror Lederman

36 papers receiving 458 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dror Lederman United States 14 264 170 158 78 72 37 483
Amir Tahmasebi United States 11 146 0.6× 143 0.8× 71 0.4× 63 0.8× 2 0.0× 22 351
Hemat Allam Egypt 5 215 0.8× 206 1.2× 35 0.2× 52 0.7× 12 0.2× 10 427
Yoichi Yamazaki Japan 14 63 0.2× 154 0.9× 51 0.3× 67 0.9× 3 0.0× 59 532
Yunzhi Huang China 8 136 0.5× 150 0.9× 48 0.3× 89 1.1× 2 0.0× 20 292
Abdelrahman Mohamed United States 12 361 1.4× 8 0.0× 74 0.5× 42 0.5× 6 0.1× 45 640
Gongbo Liang United States 13 232 0.9× 180 1.1× 42 0.3× 81 1.0× 38 479
April Khademi Canada 14 134 0.5× 232 1.4× 29 0.2× 173 2.2× 48 525
Zijian Wang China 12 52 0.2× 65 0.4× 69 0.4× 26 0.3× 47 398
Ting Cai China 9 104 0.4× 109 0.6× 94 0.6× 54 0.7× 13 571
Kyle Hasenstab United States 13 72 0.3× 488 2.9× 57 0.4× 42 0.5× 2 0.0× 37 879

Countries citing papers authored by Dror Lederman

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Dror Lederman

This figure shows the co-authorship network connecting the top 25 collaborators of Dror Lederman. A scholar is included among the top collaborators of Dror Lederman 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 Dror Lederman. Dror Lederman 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.
Lederman, Dror, et al.. (2024). Detection of breast cancer in digital breast tomosynthesis with vision transformers. Scientific Reports. 14(1). 22149–22149. 5 indexed citations
2.
Lederman, Dror, et al.. (2023). Temporal dynamics of isolation calls emitted by pups in environmental and genetic mouse models of autism spectrum disorder. Frontiers in Neuroscience. 17. 1274039–1274039. 4 indexed citations
3.
Lederman, Dror, et al.. (2021). Isolation-Induced Ultrasonic Vocalization in Environmental and Genetic Mice Models of Autism. Frontiers in Neuroscience. 15. 769670–769670. 11 indexed citations
4.
Lederman, Dror, et al.. (2018). A new computer‐aided detection approach based on analysis of local and global mammographic feature asymmetry. Medical Physics. 45(4). 1459–1470. 9 indexed citations
5.
Wang, Xingwei, Lihua Li, Wei Liu, et al.. (2012). An Interactive System for Computer-Aided Diagnosis of Breast Masses. Journal of Digital Imaging. 25(5). 570–579. 16 indexed citations
6.
Wang, Xingwei, et al.. (2012). Improving the performance of computer-aided detection of subtle breast masses using an adaptive cueing method. Physics in Medicine and Biology. 57(2). 561–575. 9 indexed citations
7.
Lederman, Dror & Joseph Tabrikian. (2012). Classification of multichannel EEG patterns using parallel hidden Markov models. Medical & Biological Engineering & Computing. 50(4). 319–328. 23 indexed citations
8.
Lederman, Dror, et al.. (2011). Automatic Computerized Endotracheal Tube Position Verification. Anesthesia & Analgesia. 113(6). 1411–1415. 2 indexed citations
9.
Wang, Xingwei, Dror Lederman, Jun Tan, Xiao Hui Wang, & Bin Zheng. (2011). Computerized prediction of risk for developing breast cancer based on bilateral mammographic breast tissue asymmetry. Medical Engineering & Physics. 33(8). 934–942. 50 indexed citations
10.
Lederman, Dror, Bin Zheng, Xingwei Wang, Jules H. Sumkin, & David Gur. (2011). A GMM‐based breast cancer risk stratification using a resonance‐frequency electrical impedance spectroscopy. Medical Physics. 38(3). 1649–1659. 4 indexed citations
11.
Park, Sang Cheol, Jun Tan, Xingwei Wang, et al.. (2011). Computer-aided detection of early interstitial lung diseases using low-dose CT images. Physics in Medicine and Biology. 56(4). 1139–1153. 54 indexed citations
12.
Wang, Xingwei, Dror Lederman, Jun Tan, Xiao Hui Wang, & Bin Zheng. (2010). Computerized Detection of Breast Tissue Asymmetry Depicted on Bilateral Mammograms. Academic Radiology. 17(10). 1234–1241. 28 indexed citations
13.
Lederman, Dror, Bin Zheng, Xingwei Wang, Xiao Hui Wang, & David Gur. (2010). Improving Breast Cancer Risk Stratification Using Resonance-Frequency Electrical Impedance Spectroscopy Through Fusion of Multiple Classifiers. Annals of Biomedical Engineering. 39(3). 931–945. 22 indexed citations
14.
Zheng, Bin, et al.. (2010). A Preliminary Evaluation of Multi-probe Resonance-frequency Electrical Impedance Based Measurements of the Breast. Academic Radiology. 18(2). 220–229. 9 indexed citations
15.
Lederman, Dror. (2010). An endotracheal intubation confirmation system based on carina image detection: a proof of concept. Medical & Biological Engineering & Computing. 49(1). 75–83. 1 indexed citations
16.
Lederman, Dror, et al.. (2010). Novel automatic endotracheal position confirmation system: Mannequin model algorithm evaluation. Journal of Clinical Monitoring and Computing. 24(5). 335–340. 2 indexed citations
17.
Lederman, Dror, et al.. (2008). Classification of cries of infants with cleft-palate using parallel hidden Markov models. Medical & Biological Engineering & Computing. 46(10). 965–975. 28 indexed citations
18.
Lederman, Dror, et al.. (2006). Acoustic Monitoring of Double-Lumen Ventilated Lungs for the Detection of Selective Unilateral Lung Ventilation. Anesthesia & Analgesia. 103(6). 1489–1493. 16 indexed citations
19.
Lederman, Dror & Joseph Tabrikian. (2006). Constrained MMSE Estimator for Distribution Mismatch Compensation. 439–443. 2 indexed citations
20.
Lederman, Dror, et al.. (2002). AUTOMATIC CLASSIFICATION OF INFANTS ’ CRY. 18 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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