Madhu Reddy

4.2k total citations
108 papers, 2.6k citations indexed

About

Madhu Reddy is a scholar working on Applied Psychology, General Health Professions and Sociology and Political Science. According to data from OpenAlex, Madhu Reddy has authored 108 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Applied Psychology, 28 papers in General Health Professions and 25 papers in Sociology and Political Science. Recurrent topics in Madhu Reddy's work include Digital Mental Health Interventions (43 papers), Impact of Technology on Adolescents (17 papers) and Mobile Health and mHealth Applications (17 papers). Madhu Reddy is often cited by papers focused on Digital Mental Health Interventions (43 papers), Impact of Technology on Adolescents (17 papers) and Mobile Health and mHealth Applications (17 papers). Madhu Reddy collaborates with scholars based in United States, Canada and United Kingdom. Madhu Reddy's co-authors include David C. Mohr, Stephen M. Schueller, Paul Dourish, Emily G. Lattie, Renwen Zhang, Elizabeth V. Eikey, Sharoda A. Paul, Christopher J. DeFlitch, Rachel Kornfield and Aaron R. Lyon and has published in prestigious journals such as American Journal of Preventive Medicine, International Journal of Environmental Research and Public Health and Journal of Medical Internet Research.

In The Last Decade

Madhu Reddy

96 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Madhu Reddy United States 28 986 755 563 406 394 108 2.6k
Reeva Lederman Australia 24 718 0.7× 317 0.4× 528 0.9× 166 0.4× 278 0.7× 100 1.8k
Annie Lau Australia 24 628 0.6× 1.2k 1.6× 605 1.1× 122 0.3× 221 0.6× 106 3.0k
Liliana Laranjo Australia 27 914 0.9× 1.1k 1.5× 484 0.9× 172 0.4× 226 0.6× 83 3.3k
Lena Mamykina United States 28 524 0.5× 993 1.3× 324 0.6× 769 1.9× 152 0.4× 82 3.2k
Shawna N. Smith United States 19 833 0.8× 902 1.2× 382 0.7× 98 0.2× 534 1.4× 60 2.7k
David A. Ellis United Kingdom 23 475 0.5× 607 0.8× 1.1k 1.9× 120 0.3× 257 0.7× 88 3.0k
Tammy Toscos United States 20 503 0.5× 656 0.9× 441 0.8× 909 2.2× 228 0.6× 75 2.3k
Enid Montague United States 25 415 0.4× 973 1.3× 262 0.5× 111 0.3× 151 0.4× 84 2.1k
Leanne Morrison United Kingdom 23 1.5k 1.5× 1.9k 2.6× 625 1.1× 191 0.5× 561 1.4× 57 3.7k
Stoyan Stoyanov Australia 18 1.5k 1.5× 2.0k 2.7× 599 1.1× 220 0.5× 621 1.6× 35 3.8k

Countries citing papers authored by Madhu Reddy

Since Specialization
Citations

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

Fields of papers citing papers by Madhu Reddy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Madhu Reddy

This figure shows the co-authorship network connecting the top 25 collaborators of Madhu Reddy. A scholar is included among the top collaborators of Madhu Reddy 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 Madhu Reddy. Madhu Reddy 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.
Pendse, Sachin R., Munmun De Choudhury, Jaydon Farao, et al.. (2025). Beyond Culture: Centering Power, Reciprocity, and Justice in HCI and Mental Health Research. 1–5. 2 indexed citations
3.
Reddy, Madhu, et al.. (2024). PO-04-195 CONDUCTION SYSTEM PACING IN D-TRANSPOSITION OF GREAT ARTERIES AFTER MUSTARD SURGERY. Heart Rhythm. 21(5). S516–S517.
4.
Harvey, Christopher J., Kamal Gupta, Mark Wiley, et al.. (2024). Predictors of left atrial appendage emptying velocity: Derivation and validation of CHIRP3(M-1) score. Heart Rhythm. 22(4). 923–931.
5.
6.
Jeong, Sooyeon, et al.. (2024). Voice Assistants for Mental Health Services: Designing Dialogues with Homebound Older Adults. Designing Interactive Systems Conference. 2024. 844–858. 5 indexed citations
7.
Stiles‐Shields, Colleen, Elizabeth Gray, Charles J. Krause, et al.. (2024). A personal sensing technology enabled service versus a digital psychoeducation control for primary care patients with depression and anxiety: a pilot randomized controlled trial. BMC Psychiatry. 24(1). 828–828. 2 indexed citations
8.
Knapp, Ashley A., Kaylee Payne Kruzan, Allison J. Carroll, et al.. (2023). “The library is so much more than books”: considerations for the design and implementation of teen digital mental health services in public libraries. Frontiers in Digital Health. 5. 1183319–1183319. 9 indexed citations
9.
Hoek, André van der, et al.. (2023). Mental Wellbeing at Work: Perspectives of Software Engineers. ePrints Soton (University of Southampton). 1–15. 11 indexed citations
10.
Kruzan, Kaylee Payne, et al.. (2023). The Perceived Utility of Smartphone and Wearable Sensor Data in Digital Self-tracking Technologies for Mental Health. PubMed. 2023. 1–16. 17 indexed citations
11.
Lyon, Aaron R., Sean A. Munson, Madhu Reddy, et al.. (2023). Bridging HCI and Implementation Science for Innovation Adoption and Public Health Impact. PubMed. 2023. 1–7. 15 indexed citations
12.
Kruzan, Kaylee Payne, Madhu Reddy, Jason J. Washburn, & David C. Mohr. (2022). Developing a Mobile App for Young Adults with Nonsuicidal Self-Injury: A Prototype Feedback Study. International Journal of Environmental Research and Public Health. 19(23). 16163–16163. 8 indexed citations
13.
Meyerhoff, Jonah, Theresa Nguyen, Chris Karr, et al.. (2022). System design of a text messaging program to support the mental health needs of non-treatment seeking young adults. Procedia Computer Science. 206. 68–80. 7 indexed citations
14.
Kruzan, Kaylee Payne, Jonah Meyerhoff, Candice Biernesser, et al.. (2021). Centering Lived Experience in Developing Digital Interventions for Suicide and Self-injurious Behaviors: User-Centered Design Approach. JMIR Mental Health. 8(12). e31367–e31367. 19 indexed citations
15.
Eikey, Elizabeth V., et al.. (2017). Desire to Be Underweight: Exploratory Study on a Weight Loss App Community and User Perceptions of the Impact on Disordered Eating Behaviors. JMIR mhealth and uhealth. 5(10). e150–e150. 22 indexed citations
16.
Eikey, Elizabeth V., Madhu Reddy, & Craig Kuziemsky. (2015). Examining the role of collaboration in studies of health information technologies in biomedical informatics: A systematic review of 25 years of research. Journal of Biomedical Informatics. 57. 263–277. 44 indexed citations
17.
Eikey, Elizabeth V., et al.. (2015). Designing for privacy management in hospitals: Understanding the gap between user activities and IT staff’s understandings. International Journal of Medical Informatics. 84(12). 1065–1075. 19 indexed citations
18.
Kraschnewski, Jennifer L., Cynthia H. Chuang, Erika Shehan Poole, et al.. (2014). Paging “Dr. Google”: Does Technology Fill the Gap Created by the Prenatal Care Visit Structure? Qualitative Focus Group Study With Pregnant Women. Journal of Medical Internet Research. 16(6). e147–e147. 131 indexed citations
19.
Reddy, Madhu, et al.. (2010). Idiopathic multiple pulmonary artery aneurysms. 19(3). 1 indexed citations
20.
Paul, Sharoda A., Madhu Reddy, Joanna Abraham, & Christopher J. DeFlitch. (2008). The usefulness of information and communication technologies in crisis response.. PubMed. 561–5. 10 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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