William Brown

3.9k total citations · 1 hit paper
79 papers, 2.6k citations indexed

About

William Brown is a scholar working on General Health Professions, Infectious Diseases and Sociology and Political Science. According to data from OpenAlex, William Brown has authored 79 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in General Health Professions, 24 papers in Infectious Diseases and 21 papers in Sociology and Political Science. Recurrent topics in William Brown's work include HIV/AIDS Research and Interventions (24 papers), Mobile Health and mHealth Applications (18 papers) and HIV, Drug Use, Sexual Risk (11 papers). William Brown is often cited by papers focused on HIV/AIDS Research and Interventions (24 papers), Mobile Health and mHealth Applications (18 papers) and HIV, Drug Use, Sexual Risk (11 papers). William Brown collaborates with scholars based in United States, Puerto Rico and Peru. William Brown's co-authors include Rebecca Schnall, Alex Carballo‐Diéguez, Marlene Rojas, Suzanne Bakken, Carlton F. Yoshioka, Chao Guo, Po‐Yin Yen, Joel O. Iverson, Deborah Gelaude and Monique Carry and has published in prestigious journals such as JAMA, PLoS ONE and Journal of Business Ethics.

In The Last Decade

William Brown

76 papers receiving 2.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A user-centered model for designing consumer mobile health (mHealth) applications (apps)

2016 378 citations Rebecca Schnall, Marlene Rojas et al. Journal of Biomedical Informatics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
William Brown United States	24	971	850	423	384	276	79	2.6k
Ashley Fox United States	26	989 1.0×	707 0.8×	311 0.7×	442 1.2×	194 0.7×	117	2.9k
James W. Dearing United States	25	1.4k 1.4×	832 1.0×	125 0.3×	183 0.5×	195 0.7×	85	3.7k
Cheryl Alexander United States	31	916 0.9×	766 0.9×	206 0.5×	251 0.7×	80 0.3×	67	3.5k
Thomas D’Aunno United States	37	1.8k 1.8×	470 0.6×	218 0.5×	720 1.9×	534 1.9×	115	4.3k
Roland Bal Netherlands	33	1.7k 1.7×	461 0.5×	53 0.1×	365 1.0×	102 0.4×	238	3.6k
Judith R. Gordon United States	26	440 0.5×	715 0.8×	51 0.1×	710 1.8×	273 1.0×	59	2.5k
Aneil K. Mishra United States	18	1.6k 1.6×	756 0.9×	66 0.2×	2.2k 5.9×	925 3.4×	31	5.1k
Rafael Goldszmidt Brazil	12	442 0.5×	619 0.7×	379 0.9×	125 0.3×	111 0.4×	35	3.5k
Marcel A. Croon Netherlands	30	722 0.7×	677 0.8×	25 0.1×	892 2.3×	180 0.7×	80	3.8k
Nataliya V. Ivankova United States	21	935 1.0×	619 0.7×	71 0.2×	134 0.3×	100 0.4×	89	3.7k

Countries citing papers authored by William Brown

Since Specialization

Citations

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

Fields of papers citing papers by William Brown

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William Brown

This figure shows the co-authorship network connecting the top 25 collaborators of William Brown. A scholar is included among the top collaborators of William Brown 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 William Brown. William Brown 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

Lyles, Courtney R., et al.. (2024). Building a Client Resource and Communication Platform for Community-Based Organizations to Address Health and Social Needs: Co-Design Study. JMIR Human Factors. 11. e53939–e53939. 1 indexed citations

Ramírez, Antonio J., Amanda Davis, Alexandra Velásquez, et al.. (2024). Achieving Chronic Care Equity by Leveraging the Telehealth Ecosystem (ACCTIVATE): A Multilevel Randomized Controlled Trial Protocol. Medical Research Archives. 12(11).

Brown, William, et al.. (2023). Patient Engagement With and Perspectives on a Mobile Health Home Spirometry Intervention: Mixed Methods Study. JMIR mhealth and uhealth. 12. e51236–e51236. 1 indexed citations

Nguyen, Kim, Jessica Fields, Anupama Gunshekar Cemballi, et al.. (2021). The Role of Community-Based Organizations in Improving Chronic Care for Safety-Net Populations. The Journal of the American Board of Family Medicine. 34(4). 698–708. 19 indexed citations

Balán, Iván C., Javier Lopez-Ríos, Rebecca Giguere, et al.. (2020). Then We Looked at His Results: Men Who Have Sex With Men from New York City and Puerto Rico Report Their Sexual Partner’s Reactions to Receiving Reactive HIV Self-Test Results. AIDS and Behavior. 24(9). 2597–2605. 5 indexed citations

Brown, William, Renu Balyan, Andrew J. Karter, et al.. (2020). Challenges and solutions to employing natural language processing and machine learning to measure patients’ health literacy and physician writing complexity: The ECLIPPSE study. Journal of Biomedical Informatics. 113. 103658–103658. 10 indexed citations

Balyan, Renu, Scott A. Crossley, William Brown, et al.. (2019). Using natural language processing and machine learning to classify health literacy from secure messages: The ECLIPPSE study. PLoS ONE. 14(2). e0212488–e0212488. 22 indexed citations

Brown, William, Rebecca Giguere, Alan Z. Sheinfil, et al.. (2018). Challenges and solutions implementing an SMS text message-based survey CASI and adherence reminders in an international biomedical HIV PrEP study (MTN 017). Journal of Biomedical Informatics. 80. 78–86. 20 indexed citations

Giguere, Rebecca, Christine Tagliaferri Rael, Alan Z. Sheinfil, et al.. (2017). Factors Supporting and Hindering Adherence to Rectal Microbicide Gel Use with Receptive Anal Intercourse in a Phase 2 Trial. AIDS and Behavior. 22(2). 388–401. 7 indexed citations

10.

Shanafelt, Tait D., et al.. (2017). An Organization Model to Assist Individual Physicians, Scientists, and Senior Health Care Administrators With Personal and Professional Needs. Mayo Clinic Proceedings. 92(11). 1688–1696. 28 indexed citations

11.

Schnall, Rebecca, Marlene Rojas, Suzanne Bakken, et al.. (2016). A user-centered model for designing consumer mobile health (mHealth) applications (apps). Journal of Biomedical Informatics. 60. 243–251. 378 indexed citations breakdown →

12.

Schnall, Rebecca, et al.. (2015). Comparison of a User-Centered Design, Self-Management App to Existing mHealth Apps for Persons Living With HIV. JMIR mhealth and uhealth. 3(3). e91–e91. 73 indexed citations

13.

Brown, William, et al.. (2015). Dimensions of Capacity in Nonprofit Human Service Organizations. VOLUNTAS International Journal of Voluntary and Nonprofit Organizations. 27(6). 2889–2912. 38 indexed citations

14.

Aliabadi, Negar, Alex Carballo‐Diéguez, Suzanne Bakken, et al.. (2015). Using the Information-Motivation-Behavioral Skills Model to Guide the Development of an HIV Prevention Smartphone Application for High-Risk MSM. AIDS Education and Prevention. 27(6). 522–537. 50 indexed citations

15.

Brown, William, Rebecca Giguere, Mobolaji Ibitoye, Alex Carballo‐Diéguez, & Ross Cranston. (2014). Successfully Addressing Challenges to Implementing a Multinational SMS-based Reminder and Data Collection System in a Biomedical HIV Prevention Trial. AIDS Research and Human Retroviruses. 30(S1). A87–A87. 6 indexed citations

16.

Cornforth, Chris & William Brown. (2013). Nonprofit governance : innovative perspectives and approaches. Routledge eBooks. 83 indexed citations

17.

Brown, William, Po‐Yin Yen, Marlene Rojas, & Rebecca Schnall. (2013). Assessment of the Health IT Usability Evaluation Model (Health-ITUEM) for evaluating mobile health (mHealth) technology. Journal of Biomedical Informatics. 46(6). 1080–1087. 210 indexed citations

18.

Brown, William, et al.. (2008). SOA Governance: Achieving and Sustaining Business and IT Agility. CERN Document Server (European Organization for Nuclear Research). 17 indexed citations

19.

Brown, William, et al.. (2007). Corporate Employee Volunteer Programs: Considering the Interests of Multiple Stakeholders. 2 indexed citations

20.

Brown, William. (1971). PIECEWORK WAGE DETERMINATION IN COVENTRY*. Scottish Journal of Political Economy. 18(1). 1–30. 1 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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