Lynn S. Broderick
- Computer Vision and Pattern Recognition top 2%
- Pulmonary and Respiratory Medicine top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Artificial Intelligence top 5%
- Surgery
- Co-authors
- Carla E. BrodleyAlex M. AisenAvinash C. KakChi‐Ren ShyuJennifer DyA.C. KakAkio KosakaDewey J. Conces
- Topics
- Image Retrieval and Classification Techniques (9 papers)Advanced Image and Video Retrieval Techniques (5 papers)Tracheal and airway disorders (4 papers)
- Cited by
- Computer Vision and Pattern RecognitionRadiology, Nuclear Medicine and ImagingPulmonary and Respiratory Medicine
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceRadiologyAmerican Journal of Roentgenology
- Partner nations
- United StatesSwitzerlandIsrael
In The Last Decade
Lynn S. Broderick
32 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 107
- Computer Vision and Pattern Recognition 565
- Pulmonary and Respiratory Medicine 485
- Radiology, Nuclear Medicine and Imaging 356
- Artificial Intelligence 286
- Surgery 246
Countries citing papers authored by Lynn S. Broderick
This map shows the geographic impact of Lynn S. Broderick'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 Lynn S. Broderick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lynn S. Broderick more than expected).
Fields of papers citing papers by Lynn S. Broderick
This network shows the impact of papers produced by Lynn S. Broderick. 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 Lynn S. Broderick. The network helps show where Lynn S. Broderick may publish in the future.
Co-authorship network of co-authors of Lynn S. Broderick
This figure shows the co-authorship network connecting the top 25 collaborators of Lynn S. Broderick. A scholar is included among the top collaborators of Lynn S. Broderick 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 Lynn S. Broderick. Lynn S. Broderick is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 46 | |
| 2 | 52 | |
| 3 | 13 | |
| 4 | 138 | |
| 5 | 66 | |
| 6 | 44 | |
| 7 | 0 | |
| 8 | 4 | |
| 9 | 120 | |
| 10 | 5 | |
| 11 | 5 | |
| 12 | 9 | |
| 13 | 49 | |
| 14 | 8 | |
| 15 | 50 | |
| 16 | 9 | |
| 17 | 19 | |
| 18 | 96 | |
| 19 | 4 | |
| 20 | 131 |
About Lynn S. Broderick
Lynn S. Broderick is a scholar working on Microbiology, Computer Vision and Pattern Recognition and Pulmonary and Respiratory Medicine, having authored 34 papers that have together received 1.5k indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (9 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Tracheal and airway disorders (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (565 citations), Radiology, Nuclear Medicine and Imaging (356 citations) and Pulmonary and Respiratory Medicine (485 citations). Lynn S. Broderick has collaborated with scholars based in United States, Switzerland and Israel. Frequent co-authors include Carla E. Brodley, Alex M. Aisen, Avinash C. Kak, Chi‐Ren Shyu, Jennifer Dy, A.C. Kak, Akio Kosaka, Dewey J. Conces, Janet E. Kuhlman and Robert D. Tarver. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Radiology and American Journal of Roentgenology.
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.