Benjamin Laguna
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
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- Radiomics and Machine Learning in Medical Imaging
- Radiology practices and education
Papers in
- Surgery 6
- Surgical Simulation and Training 3
- Facial Trauma and Fracture Management 1
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- Brain Metastases and Treatment 2
- Renal cell carcinoma treatment 1
- Co-authors
- Jesse Courtier (4 shared papers)Andrew Phelps (1 shared paper)Thienkhai Vu (2 shared papers)Raul N. Uppot (1 shared paper)Eliot L. Siegel (1 shared paper)Colin J. McCarthy (1 shared paper)Jae Ho Sohn (2 shared papers)Hari Trivedi (1 shared paper)
- Journals
- Radiology Artificial Intelligence (2 papers)Radiology (1 paper)BMC Medical Informatics and Decision Making (1 paper)Journal of Digital Imaging (1 paper)Cancer Gene Therapy (1 paper)
- Partner nations
- United States
In The Last Decade
Benjamin Laguna
20 papers receiving 450 citations
Peers
Comparison fields: 5 of 79
- Health Informatics 68
- Radiology, Nuclear Medicine and Imaging 118
- Human-Computer Interaction 31
- Computer Vision and Pattern Recognition 76
- Surgery 89
Countries citing papers authored by Benjamin Laguna
This map shows the geographic impact of Benjamin Laguna'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 Benjamin Laguna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin Laguna more than expected).
Fields of papers citing papers by Benjamin Laguna
This network shows the impact of papers produced by Benjamin Laguna. 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 Benjamin Laguna. The network helps show where Benjamin Laguna may publish in the future.
Co-authors
The 25 scholars most cited alongside Benjamin Laguna, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 133 | |
| 2 | 2017 | 88 | |
| 3 | 2021 | 41 | |
| 4 | 2011 | 36 | |
| 5 | 2012 | 36 | |
| 6 | 2019 | 20 | |
| 7 | 2012 | 19 | |
| 8 | 2024 | 14 | |
| 9 | 2021 | 14 | |
| 10 | 2022 | 13 | |
| 11 | 2021 | 12 | |
| 12 | 2014 | 7 | |
| 13 | 2022 | 6 | |
| 14 | 2014 | 6 | |
| 15 | 2020 | 6 | |
| 16 | 2020 | 4 | |
| 17 | 2018 | 3 | |
| 18 | 2023 | 2 | |
| 19 | 2024 | 1 | |
| 20 | 2018 | 1 |
About Benjamin Laguna
Benjamin Laguna is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Neurology, Computer Vision and Pattern Recognition and Oncology, having authored 21 papers that have together received 462 indexed citations. Recurring topics across this work include Surgical Simulation and Training (3 papers), Augmented Reality Applications (3 papers), Cancer Immunotherapy and Biomarkers (2 papers), Brain Metastases and Treatment (2 papers), Facial Trauma and Fracture Management (1 paper), Cancer Genomics and Diagnostics (1 paper), Sinusitis and nasal conditions (1 paper) and Renal cell carcinoma treatment (1 paper). The work is most often cited by research in Health Informatics (68 citations), Radiology, Nuclear Medicine and Imaging (118 citations), Human-Computer Interaction (31 citations), Computer Vision and Pattern Recognition (76 citations) and Surgery (89 citations). Benjamin Laguna has collaborated with scholars based in United States. Frequent co-authors include Jesse Courtier, Andrew Phelps, Thienkhai Vu, Raul N. Uppot, Eliot L. Siegel, Colin J. McCarthy, Jae Ho Sohn, Hari Trivedi, Sunil Singhal and Edmund K. Moon. Their work appears in journals such as Radiology Artificial Intelligence, Radiology, BMC Medical Informatics and Decision Making, Journal of Digital Imaging and Cancer Gene Therapy.
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.