Cody Karjadi

1.0k total citations
26 papers, 262 citations indexed

About

Cody Karjadi is a scholar working on Psychiatry and Mental health, Artificial Intelligence and Physiology. According to data from OpenAlex, Cody Karjadi has authored 26 papers receiving a total of 262 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Psychiatry and Mental health, 7 papers in Artificial Intelligence and 7 papers in Physiology. Recurrent topics in Cody Karjadi's work include Dementia and Cognitive Impairment Research (14 papers), Voice and Speech Disorders (6 papers) and Machine Learning in Healthcare (5 papers). Cody Karjadi is often cited by papers focused on Dementia and Cognitive Impairment Research (14 papers), Voice and Speech Disorders (6 papers) and Machine Learning in Healthcare (5 papers). Cody Karjadi collaborates with scholars based in United States, China and United Kingdom. Cody Karjadi's co-authors include Rhoda Au, Vijaya B. Kolachalama, Ioannis Ch. Paschalidis, Ting Fang Alvin Ang, Honghuang Lin, Chonghua Xue, Huitong Ding, Sherral Devine, James Glass and Aman Gupta and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of Medical Internet Research.

In The Last Decade

Cody Karjadi

24 papers receiving 253 citations

Peers

Cody Karjadi

PMH

PHYSI

ECP

Nicklas Linz France

Elif Eyigöz United States

Kirsty Lu United Kingdom

Min Young Chun South Korea

Mar Santamaria United States

Prajakta Joshi United States

Binod Thapa-Chhetry United States

Lea Baecker United Kingdom

Kathryn Edelman United States

Robert Mathew India

Nicklas Linz France

Cody Karjadi

177 ×1.6

PMH

71 ×0.9

145 ×1.9

50 ×1.0

PHYSI

81 ×2.4

ECP

Citations per year, relative to Cody Karjadi Cody Karjadi (= 1×) peers Nicklas Linz

Countries citing papers authored by Cody Karjadi

Since Specialization

Citations

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

Fields of papers citing papers by Cody Karjadi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cody Karjadi

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Ding, Huitong, Cody Karjadi, Preeti Sunderaraman, et al.. (2025). Association of the digital clock drawing test with amyloid and tau PET biomarkers in low age risk adults. Scientific Reports. 15(1). 11104–11104. 2 indexed citations

Dawalatabad, Nauman, et al.. (2025). Obfuscation via pitch‐shifting for balancing privacy and diagnostic utility in voice‐based cognitive assessment. Alzheimer s & Dementia. 21(3). e70032–e70032. 1 indexed citations

Young, Christina B., Cody Karjadi, Ting Fang Alvin Ang, et al.. (2024). Speech patterns during memory recall relates to early tau burden across adulthood. Alzheimer s & Dementia. 20(4). 2552–2563. 6 indexed citations

Sunderaraman, Preeti, Ileana De Anda‐Duran, Cody Karjadi, et al.. (2024). Design and Feasibility Analysis of a Smartphone‐Based Digital Cognitive Assessment Study in the Framingham Heart Study. Journal of the American Heart Association. 13(2). e031348–e031348. 3 indexed citations

Ding, Huitong, et al.. (2024). Detection of Mild Cognitive Impairment From Non-Semantic, Acoustic Voice Features: The Framingham Heart Study. JMIR Aging. 7. e55126–e55126. 4 indexed citations

Akhter‐Khan, Samia C., Qiushan Tao, Ting Fang Alvin Ang, et al.. (2024). Cerebral Microbleeds in Different Brain Regions and Their Associations With the Digital Clock-Drawing Test: Secondary Analysis of the Framingham Heart Study. Journal of Medical Internet Research. 26. e45780–e45780. 2 indexed citations

Anda‐Duran, Ileana De, Preeti Sunderaraman, Xuanyi Jin, et al.. (2024). Comparing Cognitive Tests and Smartphone‐Based Assessment in 2 US Community‐Based Cohorts. Journal of the American Heart Association. 13(2). e032733–e032733. 5 indexed citations

Karjadi, Cody, et al.. (2023). Predicting Transitions from Mild Cognitive Impairment to Dementia within 5‐years. Alzheimer s & Dementia. 19(S18). 1 indexed citations

Ding, Huitong, Cody Karjadi, Ting Fang Alvin Ang, et al.. (2023). Association between acoustic features and brain volumes: the Framingham Heart Study. SHILAP Revista de lepidopterología. 2. 3 indexed citations

10.

Ding, Huitong, et al.. (2023). EARLY DETECTION OF ALZHEIMER’S DISEASE AND RELATED DEMENTIAS FROM VOICE RECORDINGS: THE FRAMINGHAM HEART STUDY. Innovation in Aging. 7(Supplement_1). 1024–1024.

11.

Ding, Huitong, Preeti Sunderaraman, Sherral Devine, et al.. (2023). The utility of the digital clock drawing test as an accurate early screening tool for those with preclinical Alzheimer’s disease. Alzheimer s & Dementia. 19(S15). 3 indexed citations

12.

Ding, Huitong, Cody Karjadi, Ting Fang Alvin Ang, et al.. (2023). Multimodal Machine Learning for 10-Year Dementia Risk Prediction: The Framingham Heart Study. Journal of Alzheimer s Disease. 96(1). 277–286. 10 indexed citations

13.

Au, Rhoda, Phillip H Hwang, Ileana De Anda‐Duran, et al.. (2023). Digital is the New Blood: Enabling the Present and the Future. Alzheimer s & Dementia. 19(S21). 2 indexed citations

14.

Yuan, Jing, Rhoda Au, Cody Karjadi, et al.. (2022). Associations Between the Digital Clock Drawing Test and Brain Volume: Large Community-Based Prospective Cohort (Framingham Heart Study). Journal of Medical Internet Research. 24(4). e34513–e34513. 10 indexed citations

15.

Ding, Huitong, Cody Karjadi, Ting Fang Alvin Ang, et al.. (2022). Association Between Acoustic Features and Neuropsychological Test Performance in the Framingham Heart Study: Observational Study. Journal of Medical Internet Research. 24(12). e42886–e42886. 7 indexed citations

16.

Signorini, Alessio, Cody Karjadi, Tuka Alhanai, et al.. (2022). Cognitive Digital Biomarkers from Automated Transcription of Spoken Language. The Journal of Prevention of Alzheimer s Disease. 9(4). 791–800. 16 indexed citations

17.

Yuan, Jing, David J. Libon, Cody Karjadi, et al.. (2021). Association Between the Digital Clock Drawing Test and Neuropsychological Test Performance: Large Community-Based Prospective Cohort (Framingham Heart Study). Journal of Medical Internet Research. 23(6). e27407–e27407. 24 indexed citations

18.

Xue, Chonghua, Cody Karjadi, Ioannis Ch. Paschalidis, Rhoda Au, & Vijaya B. Kolachalama. (2021). Detection of dementia on voice recordings using deep learning: a Framingham Heart Study. Alzheimer s Research & Therapy. 13(1). 146–146. 52 indexed citations

19.

Thomas, Robert J., Hyun Kim, Pauline Maillard, et al.. (2021). Digital sleep measures and white matter health in the Framingham Heart Study. SHILAP Revista de lepidopterología. 2(3). 253–267. 11 indexed citations

20.

Lin, Honghuang, Cody Karjadi, Ting Fang Alvin Ang, et al.. (2020). Identification of digital voice biomarkers for cognitive health. SHILAP Revista de lepidopterología. 1(6). 406–417. 28 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.

Explore authors with similar magnitude of impact