Nathaniel D. Mercaldo
- Psychiatry and Mental health top 1%
- Surgery top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Physiology top 5%
- Cognitive Neuroscience top 5%
- Co-authors
- Xiao‐Hua ZhouKit LauJonathan S. SchildcroutSandra WeıntraubWalter A. KukullNeill R. Graff‐RadfordBradley F. BoeveNorman L. Foster
- Topics
- Radiomics and Machine Learning in Medical Imaging (9 papers)Dementia and Cognitive Impairment Research (9 papers)Radiation Dose and Imaging (7 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Nathaniel D. Mercaldo
98 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 154
- Psychiatry and Mental health 839
- Surgery 538
- Radiology, Nuclear Medicine and Imaging 505
- Physiology 468
- Cognitive Neuroscience 423
Countries citing papers authored by Nathaniel D. Mercaldo
This map shows the geographic impact of Nathaniel D. Mercaldo'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 Nathaniel D. Mercaldo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathaniel D. Mercaldo more than expected).
Fields of papers citing papers by Nathaniel D. Mercaldo
This network shows the impact of papers produced by Nathaniel D. Mercaldo. 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 Nathaniel D. Mercaldo. The network helps show where Nathaniel D. Mercaldo may publish in the future.
Co-authorship network of co-authors of Nathaniel D. Mercaldo
This figure shows the co-authorship network connecting the top 25 collaborators of Nathaniel D. Mercaldo. A scholar is included among the top collaborators of Nathaniel D. Mercaldo 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 Nathaniel D. Mercaldo. Nathaniel D. Mercaldo 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 | 6 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 5 | |
| 9 | 5 | |
| 10 | 4 | |
| 11 | 1 | |
| 12 | 2 | |
| 13 | CheckList for EvaluAtion of Radiomics research (CLEAR): a step-by-step reporting guideline for authors and reviewers endorsed by ESR and EuSoMIIbreakdown → | 235 |
| 14 | 34 | |
| 15 | 1 | |
| 16 | 3 | |
| 17 | 11 | |
| 18 | 27 | |
| 19 | 14 | |
| 20 | 53 |
About Nathaniel D. Mercaldo
Nathaniel D. Mercaldo is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Geriatrics and Gerontology, having authored 107 papers that have together received 3.2k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (9 papers), Dementia and Cognitive Impairment Research (9 papers) and Radiation Dose and Imaging (7 papers). The work is most often cited by research in Geriatrics and Gerontology (266 citations), Psychiatry and Mental health (839 citations) and Health Informatics (67 citations). Nathaniel D. Mercaldo has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Xiao‐Hua Zhou, Kit Lau, Jonathan S. Schildcrout, Sandra Weıntraub, Walter A. Kukull, Neill R. Graff‐Radford, Bradley F. Boeve, Norman L. Foster, David P. Salmon and Douglas Galasko. Their work appears in journals such as Journal of Clinical Oncology, Journal of the American College of Cardiology and Brain.
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.