Colin Magdamo

1.0k total citations
21 papers, 321 citations indexed

About

Colin Magdamo is a scholar working on Artificial Intelligence, Physiology and Psychiatry and Mental health. According to data from OpenAlex, Colin Magdamo has authored 21 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 6 papers in Physiology and 5 papers in Psychiatry and Mental health. Recurrent topics in Colin Magdamo's work include Machine Learning in Healthcare (6 papers), Alzheimer's disease research and treatments (5 papers) and Dementia and Cognitive Impairment Research (5 papers). Colin Magdamo is often cited by papers focused on Machine Learning in Healthcare (6 papers), Alzheimer's disease research and treatments (5 papers) and Dementia and Cognitive Impairment Research (5 papers). Colin Magdamo collaborates with scholars based in United States, United Kingdom and Israel. Colin Magdamo's co-authors include Sudeshna Das, Steven E. Arnold, Benjamin Billot, Juan Eugenio Iglesias, Deborah Blacker, Yi-han Sheu, Bruce Fischl, Polina Golland, Daniel C. Alexander and Yaël Balbastre and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Scientific Reports.

In The Last Decade

Colin Magdamo

17 papers receiving 315 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Colin Magdamo United States 8 85 47 43 39 37 21 321
Boris Mansencal France 10 52 0.6× 31 0.7× 67 1.6× 36 0.9× 45 1.2× 21 277
Ameet C. Patel United States 7 64 0.8× 32 0.7× 61 1.4× 71 1.8× 53 1.4× 16 349
Vikram Venkatraghavan Netherlands 8 94 1.1× 36 0.8× 86 2.0× 60 1.5× 92 2.5× 23 357
Felix Raschke Germany 12 173 2.0× 36 0.8× 76 1.8× 34 0.9× 33 0.9× 26 421
Hui Jing Yu United States 11 139 1.6× 45 1.0× 81 1.9× 80 2.1× 41 1.1× 38 452
Jeremy Bockholt United States 10 84 1.0× 51 1.1× 134 3.1× 42 1.1× 26 0.7× 12 336
Georges El‐Fakhri United States 10 119 1.4× 47 1.0× 72 1.7× 93 2.4× 13 0.4× 16 327
Simona Nikolova Canada 11 58 0.7× 58 1.2× 50 1.2× 51 1.3× 12 0.3× 34 344
Paul Hager Germany 6 85 1.0× 30 0.6× 40 0.9× 68 1.7× 110 3.0× 9 345
Xiang Fan China 8 247 2.9× 22 0.5× 77 1.8× 29 0.7× 33 0.9× 26 396

Countries citing papers authored by Colin Magdamo

Since Specialization
Citations

This map shows the geographic impact of Colin Magdamo'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 Colin Magdamo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Colin Magdamo more than expected).

Fields of papers citing papers by Colin Magdamo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Colin Magdamo. 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 Colin Magdamo. The network helps show where Colin Magdamo may publish in the future.

Co-authorship network of co-authors of Colin Magdamo

This figure shows the co-authorship network connecting the top 25 collaborators of Colin Magdamo. A scholar is included among the top collaborators of Colin Magdamo 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 Colin Magdamo. Colin Magdamo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Magdamo, Colin, Bradley T. Hyman, John R. Dickson, et al.. (2025). Unsupervised Deep Learning of Electronic Health Records to Characterize Heterogeneity Across Alzheimer Disease and Related Dementias: Cross-Sectional Study. JMIR Aging. 8. e65178–e65178. 1 indexed citations
2.
3.
Gopinath, Karthik, Douglas N. Greve, Colin Magdamo, et al.. (2025). “Recon-all-clinical”: Cortical surface reconstruction and analysis of heterogeneous clinical brain MRI. Medical Image Analysis. 103. 103608–103608. 1 indexed citations
4.
Magdamo, Colin, et al.. (2025). The AROMHA brain health test is a remote olfactory assessment to screen for cognitive impairment. Scientific Reports. 15(1). 9290–9290. 5 indexed citations
5.
Magdamo, Colin, Ioannis Ch. Paschalidis, Shibani S. Mukerji, et al.. (2025). A GPT-4o-powered framework for identifying cognitive impairment stages in electronic health records. npj Digital Medicine. 8(1). 401–401.
6.
Magdamo, Colin, John R. Dickson, M. Brandon Westover, et al.. (2024). Evaluating Sociodemographic Bias in an Artificial Intelligence Algorithm to Detect Cognitive Impairment in Electronic Health Records. Alzheimer s & Dementia. 20(S4).
7.
Billot, Benjamin, et al.. (2023). Robust machine learning segmentation for large-scale analysis of heterogeneous clinical brain MRI datasets. Proceedings of the National Academy of Sciences. 120(9). e2216399120–e2216399120. 78 indexed citations
8.
Weinberg, Marc S., Colin Magdamo, Sun Young Chung, et al.. (2023). Association of BCG Vaccine Treatment With Death and Dementia in Patients With Non–Muscle-Invasive Bladder Cancer. JAMA Network Open. 6(5). e2314336–e2314336. 19 indexed citations
9.
Iglesias, Juan Eugenio, Benjamin Billot, Yaël Balbastre, et al.. (2023). SynthSR: A public AI tool to turn heterogeneous clinical brain scans into high-resolution T1-weighted images for 3D morphometry. Science Advances. 9(5). 75 indexed citations
10.
Sheu, Yi-han, Colin Magdamo, Matthew Miller, et al.. (2023). AI-assisted prediction of differential response to antidepressant classes using electronic health records. npj Digital Medicine. 6(1). 73–73. 39 indexed citations
11.
Magdamo, Colin, et al.. (2023). causalCmprsk: An R package for nonparametric and Cox-based estimation of average treatment effects in competing risks data. Computer Methods and Programs in Biomedicine. 242. 107819–107819. 2 indexed citations
12.
Wilcox, Douglas R., Ayush Noori, Colin Magdamo, et al.. (2023). Cognitive concerns are a risk factor for mortality in people with HIV and coronavirus disease 2019. AIDS. 37(10). 1565–1571. 1 indexed citations
13.
Ge, Wendong, Haitham Alabsi, Aayushee Jain, et al.. (2022). Identifying Patients With Delirium Based on Unstructured Clinical Notes: Observational Study. JMIR Formative Research. 6(6). e33834–e33834. 11 indexed citations
14.
Sheu, Yi-han, Colin Magdamo, Matthew Miller, Jordan W. Smoller, & Deborah Blacker. (2022). Initial antidepressant choice by non-psychiatrists: Learning from large-scale electronic health records. General Hospital Psychiatry. 81. 22–31. 3 indexed citations
15.
Muñoz‐Castro, Clara, Ayush Noori, Colin Magdamo, et al.. (2022). Cyclic multiplex fluorescent immunohistochemistry and machine learning reveal distinct states of astrocytes and microglia in normal aging and Alzheimer’s disease. Journal of Neuroinflammation. 19(1). 30–30. 22 indexed citations
16.
Charpignon, Marie‐Laure, Bang Zheng, Colin Magdamo, et al.. (2022). Causal inference in medical records and complementary systems pharmacology for metformin drug repurposing towards dementia. Nature Communications. 13(1). 7652–7652. 34 indexed citations
17.
Kivisäkk, Pia, Colin Magdamo, Bianca A. Trombetta, et al.. (2022). Plasma biomarkers for prognosis of cognitive decline in patients with mild cognitive impairment. Brain Communications. 4(4). fcac155–fcac155. 22 indexed citations
18.
Muñoz‐Castro, Clara, Ayush Noori, Colin Magdamo, et al.. (2021). Characterization of glial responses in Alzheimer’s disease with cyclic multiplex fluorescent immunohistochemistry and machine learning. Alzheimer s & Dementia. 17(S3). 1 indexed citations
19.
Mezlini, Aziz M., Colin Magdamo, Emily Merrill, et al.. (2020). Characterizing Clinical and Neuropathological Traits of APOE Haplotypes in African Americans and Europeans. Journal of Alzheimer s Disease. 78(1). 467–477. 5 indexed citations
20.
Trombetta, Bianca A., Pia Kivisäkk, Becky C. Carlyle, et al.. (2020). Plasma biomarkers of neuroinflammation and vascular injury predict cognitive decline in patients with mild cognitive impairment. Alzheimer s & Dementia. 16(S5). 2 indexed citations

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.

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