Veronica Rotemberg
Impact in
- Health Informatics top 0.2%
- Artificial Intelligence in Healthcare and Education
- Dermatology top 2%
Papers in
- Dermatology 16
- Skin Protection and Aging 5
- Co-authors
- Roxana DaneshjouMark L. PalmeriMary SunJames ZouJenna LesterKathryn R. NightingaleAllan C. HalpernSimon Spichak
- Journals
- Journal of the American Academy of Dermatology (7 papers)Journal of the European Academy of Dermatology and Venereology (6 papers)npj Digital Medicine (6 papers)JAMA Dermatology (5 papers)Journal of Investigative Dermatology (4 papers)
- Partner nations
- United StatesAustraliaSpain
In The Last Decade
Veronica Rotemberg
71 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Health Informatics 279
- Dermatology 179
- Oncology 517
- Radiology, Nuclear Medicine and Imaging 328
- Artificial Intelligence 398
Countries citing papers authored by Veronica Rotemberg
This map shows the geographic impact of Veronica Rotemberg'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 Veronica Rotemberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Veronica Rotemberg more than expected).
Fields of papers citing papers by Veronica Rotemberg
This network shows the impact of papers produced by Veronica Rotemberg. 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 Veronica Rotemberg. The network helps show where Veronica Rotemberg may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Veronica Rotemberg, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 3 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 13 | |
| 4 | 2024 | 7 | |
| 5 | 2024 | 36 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 39 | |
| 10 | 2023 | 0 | |
| 11 | 2023 | 23 | |
| 12 | 2023 | 6 | |
| 13 | 2023 | 14 | |
| 14 | 2023 | 12 | |
| 15 | 2022 | 5 | |
| 16 | 2022 | 1 | |
| 17 | 2022 | 7 | |
| 18 | Lack of Transparency and Potential Bias in Artificial Intelligence Data Sets and Algorithms Hit paper breakdown → | 2021 | 198 |
| 19 | 2020 | 7 | |
| 20 | Edinburgh-Stanford TREC-2003 Genomics Track. | 2003 | 4 |
About Veronica Rotemberg
Veronica Rotemberg is a scholar working on Health Informatics, Dermatology, Oncology, Medical Laboratory Technology and Artificial Intelligence, having authored 79 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (35 papers), AI in cancer detection (19 papers), Digital Imaging in Medicine (10 papers), Nonmelanoma Skin Cancer Studies (10 papers), Ultrasound Imaging and Elastography (7 papers), Histiocytic Disorders and Treatments (6 papers), Skin Protection and Aging (5 papers) and Ultrasound and Hyperthermia Applications (5 papers). The work is most often cited by research in Health Informatics (279 citations), Dermatology (179 citations), Oncology (517 citations), Radiology, Nuclear Medicine and Imaging (328 citations) and Artificial Intelligence (398 citations). Veronica Rotemberg has collaborated with scholars based in United States, Australia and Spain. Frequent co-authors include Roxana Daneshjou, Mark L. Palmeri, Mary Sun, James Zou, Jenna Lester, Kathryn R. Nightingale, Allan C. Halpern, Simon Spichak, Jesutofunmi A. Omiye and Ned C. Rouze. Their work appears in journals such as Journal of the American Academy of Dermatology, Journal of the European Academy of Dermatology and Venereology, npj Digital Medicine, JAMA Dermatology and Journal of Investigative Dermatology.
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.