L V Ackerman
Impact in
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- Medical Imaging Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Oral Surgery top 5%
- Oral and Maxillofacial Pathology
Papers in ⓘ
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- Medical Imaging Techniques and Applications 7
- Radiology practices and education 5
- Radiomics and Machine Learning in Medical Imaging 3
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- Digital Radiography and Breast Imaging 7
- Co-authors
- A. Ardeshir Goshtasby (2 shared papers)Earl E. Gose (2 shared papers)David Turner (1 shared paper)Michael Kyriakos (1 shared paper)John L. Semmlow (3 shared papers)L G Shapeero (1 shared paper)D. Vanel (1 shared paper)G Contesso (1 shared paper)
- Journals
- Radiology (12 papers)Cancer (3 papers)IEEE Transactions on Medical Imaging (2 papers)Journal of Computer Assisted Tomography (2 papers)Radiologic Clinics of North America (1 paper)
- Partner nations
- United StatesFrance
In The Last Decade
L V Ackerman
32 papers receiving 670 citations
Peers
Comparison fields: 5 of 99
- Radiology, Nuclear Medicine and Imaging 291
- Oral Surgery 88
- Rheumatology 143
- Pulmonary and Respiratory Medicine 290
- Computer Vision and Pattern Recognition 175
Countries citing papers authored by L V Ackerman
This map shows the geographic impact of L V Ackerman'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 L V Ackerman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L V Ackerman more than expected).
Fields of papers citing papers by L V Ackerman
This network shows the impact of papers produced by L V Ackerman. 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 L V Ackerman. The network helps show where L V Ackerman may publish in the future.
Co-authors
The 25 scholars most cited alongside L V Ackerman, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1992 | 94 | |
| 2 | 1993 | 80 | |
| 3 | 1991 | 73 | |
| 4 | 1995 | 58 | |
| 5 | 1972 | 49 | |
| 6 | 1980 | 44 | |
| 7 | 1986 | 43 | |
| 8 | 1977 | 39 | |
| 9 | 1979 | 36 | |
| 10 | 1987 | 26 | |
| 11 | Proliferating benign and malignant epithelial lesions of the oral cavity. | 1958 | 26 |
| 12 | 1973 | 26 | |
| 13 | 1985 | 25 | |
| 14 | 1976 | 20 | |
| 15 | 1985 | 19 | |
| 16 | 1971 | 17 | |
| 17 | 1988 | 7 | |
| 18 | 1992 | 7 | |
| 19 | 1977 | 7 | |
| 20 | 1982 | 6 |
About L V Ackerman
L V Ackerman is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Artificial Intelligence, Computer Vision and Pattern Recognition and Cancer Research, having authored 33 papers that have together received 734 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (7 papers), Digital Radiography and Breast Imaging (7 papers), AI in cancer detection (6 papers), Breast Cancer Treatment Studies (5 papers), Radiology practices and education (5 papers), Image Retrieval and Classification Techniques (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Breast Lesions and Carcinomas (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (291 citations), Oral Surgery (88 citations), Rheumatology (143 citations), Pulmonary and Respiratory Medicine (290 citations) and Computer Vision and Pattern Recognition (175 citations). L V Ackerman has collaborated with scholars based in United States and France. Frequent co-authors include A. Ardeshir Goshtasby, Earl E. Gose, David Turner, Michael Kyriakos, John L. Semmlow, L G Shapeero, D. Vanel, G Contesso, D. Couanet and Peter J. Feczko. Their work appears in journals such as Radiology, Cancer, IEEE Transactions on Medical Imaging, Journal of Computer Assisted Tomography and Radiologic Clinics of North America.
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.