Samuel Guzman
Impact in
- Health Informatics top 10%
-
- Radiomics and Machine Learning in Medical Imaging
Papers in
-
- Long-Term Effects of COVID-19 1
- Parkinson's Disease Mechanisms and Treatments 1
- Genetics 3
- Glioma Diagnosis and Treatment 2
- Co-authors
- Ann E. Walts (1 shared paper)Nathan Ing (1 shared paper)Szczepan Cierniak (1 shared paper)Tomasz Markiewicz (1 shared paper)Arkadiusz Gertych (1 shared paper)Zhaoxuan Ma (1 shared paper)Beatrice S. Knudsen (1 shared paper)Żaneta Świderska-Chadaj (1 shared paper)
- Journals
- Scientific Reports (2 papers)Alzheimer s & Dementia (1 paper)Medical Physics (1 paper)Journal of Clinical Medicine (1 paper)Alzheimer Disease & Associated Disorders (1 paper)
- Partner nations
- United StatesIndiaAustralia
In The Last Decade
Samuel Guzman
10 papers receiving 224 citations
Peers
Comparison fields: 5 of 53
- Health Informatics 12
- Radiology, Nuclear Medicine and Imaging 106
- Neurology 27
- Artificial Intelligence 93
- Biophysics 15
Countries citing papers authored by Samuel Guzman
This map shows the geographic impact of Samuel Guzman'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 Samuel Guzman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samuel Guzman more than expected).
Fields of papers citing papers by Samuel Guzman
This network shows the impact of papers produced by Samuel Guzman. 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 Samuel Guzman. The network helps show where Samuel Guzman may publish in the future.
Co-authors
The 25 scholars most cited alongside Samuel Guzman, 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 | 2019 | 119 | |
| 2 | 2021 | 69 | |
| 3 | 2022 | 16 | |
| 4 | 2024 | 8 | |
| 5 | 2024 | 6 | |
| 6 | 2021 | 6 | |
| 7 | 2019 | 5 | |
| 8 | 2023 | 2 | |
| 9 | 2024 | 2 | |
| 10 | 2024 | 1 | |
| 11 | 2023 | 0 | |
| 12 | 2023 | 0 | |
| 13 | 2020 | 0 |
About Samuel Guzman
Samuel Guzman is a scholar working on Neurology, Genetics, Pulmonary and Respiratory Medicine, Epidemiology and Physiology, having authored 13 papers that have together received 234 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (3 papers), Down syndrome and intellectual disability research (2 papers), Meningioma and schwannoma management (2 papers), Glioma Diagnosis and Treatment (2 papers), Long-Term Effects of COVID-19 (1 paper), Nerve injury and regeneration (1 paper), Parkinson's Disease Mechanisms and Treatments (1 paper) and Intensive Care Unit Cognitive Disorders (1 paper). The work is most often cited by research in Health Informatics (12 citations), Radiology, Nuclear Medicine and Imaging (106 citations), Neurology (27 citations), Artificial Intelligence (93 citations) and Biophysics (15 citations). Samuel Guzman has collaborated with scholars based in United States, India and Australia. Frequent co-authors include Ann E. Walts, Nathan Ing, Szczepan Cierniak, Tomasz Markiewicz, Arkadiusz Gertych, Zhaoxuan Ma, Beatrice S. Knudsen, Żaneta Świderska-Chadaj, Kyle Hurth and Carol A. Miller. Their work appears in journals such as Scientific Reports, Alzheimer s & Dementia, Medical Physics, Journal of Clinical Medicine and Alzheimer Disease & Associated Disorders.
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.