Laura J. Brattain
- Radiology, Nuclear Medicine and Imaging top 10%
- Biomedical Engineering
- Artificial Intelligence top 10%
- Critical Care and Intensive Care Medicine top 5%
- Surgery
- Co-authors
- Brian A. TelferAnthony E. SamirJoseph R. GrajoManish DhyaniRobert D. HoweAndrew S. LiteploVicki E. NobleChad W. Farris
- Topics
- Cell Image Analysis Techniques (9 papers)Medical Image Segmentation Techniques (8 papers)Ultrasound in Clinical Applications (6 papers)
- Cited by
- Health InformaticsCritical Care and Intensive Care MedicineRadiology, Nuclear Medicine and Imaging
- Journals
- The Journal of the Acoustical Society of AmericaAmerican Journal of RoentgenologyIEEE Transactions on Robotics
- Partner nations
- United StatesCanadaSwitzerland
In The Last Decade
Laura J. Brattain
38 papers receiving 550 citations
Peers
Comparison fields: 5 of 106
- Radiology, Nuclear Medicine and Imaging 177
- Biomedical Engineering 161
- Artificial Intelligence 100
- Critical Care and Intensive Care Medicine 86
- Surgery 83
Countries citing papers authored by Laura J. Brattain
This map shows the geographic impact of Laura J. Brattain'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 Laura J. Brattain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura J. Brattain more than expected).
Fields of papers citing papers by Laura J. Brattain
This network shows the impact of papers produced by Laura J. Brattain. 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 Laura J. Brattain. The network helps show where Laura J. Brattain may publish in the future.
Co-authorship network of co-authors of Laura J. Brattain
This figure shows the co-authorship network connecting the top 25 collaborators of Laura J. Brattain. A scholar is included among the top collaborators of Laura J. Brattain 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 Laura J. Brattain. Laura J. Brattain is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 30 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 37 | |
| 10 | 14 | |
| 11 | 1 | |
| 12 | 60 | |
| 13 | 176 | |
| 14 | 25 | |
| 15 | 6 | |
| 16 | 25 | |
| 17 | 57 | |
| 18 | 6 | |
| 19 | 13 | |
| 20 | 14 |
About Laura J. Brattain
Laura J. Brattain is a scholar working on Biophysics, Critical Care and Intensive Care Medicine and Developmental Biology, having authored 46 papers that have together received 558 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (9 papers), Medical Image Segmentation Techniques (8 papers) and Ultrasound in Clinical Applications (6 papers). The work is most often cited by research in Health Informatics (32 citations), Critical Care and Intensive Care Medicine (86 citations) and Radiology, Nuclear Medicine and Imaging (177 citations). Laura J. Brattain has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Brian A. Telfer, Anthony E. Samir, Joseph R. Grajo, Manish Dhyani, Robert D. Howe, Andrew S. Liteplo, Vicki E. Noble, Chad W. Farris, Arjun Majumdar and Jonathan Scalera. Their work appears in journals such as The Journal of the Acoustical Society of America, American Journal of Roentgenology and IEEE Transactions on Robotics.
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.