Madhu Reddy

163 total papers · 4.1k total citations
108 papers, 2.5k 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 2.5k 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, Elizabeth V. Eikey, Renwen Zhang, Christopher J. DeFlitch, Sharoda A. Paul, Aaron R. Lyon and Rachel Kornfield 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

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Madhu Reddy 969 740 560 404 387 108 2.5k
Peter Gardner 597 0.6× 917 1.2× 503 0.9× 79 0.2× 476 1.2× 86 3.9k
Kai Zheng 739 0.8× 1.4k 1.9× 621 1.1× 191 0.5× 623 1.6× 181 4.9k
Lorainne Tudor Car 504 0.5× 1.2k 1.7× 244 0.4× 350 0.9× 311 0.8× 121 4.4k
Annie Lau 623 0.6× 1.2k 1.6× 602 1.1× 123 0.3× 220 0.6× 105 2.9k
Liliana Laranjo 900 0.9× 1.1k 1.5× 479 0.9× 173 0.4× 220 0.6× 81 3.2k
Lena Mamykina 522 0.5× 987 1.3× 324 0.6× 760 1.9× 151 0.4× 80 3.1k
David A. Ellis 474 0.5× 604 0.8× 1.1k 1.9× 120 0.3× 256 0.7× 87 2.9k
E.R. Seydel 733 0.8× 1.9k 2.5× 666 1.2× 129 0.3× 299 0.8× 81 4.0k
Tammy Toscos 501 0.5× 654 0.9× 440 0.8× 909 2.3× 226 0.6× 74 2.3k
Enid Montague 410 0.4× 973 1.3× 260 0.5× 110 0.3× 148 0.4× 84 2.0k

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

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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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