David Camacho
Impact in
- Health Informatics top 10%
- Health top 10%
- Health disparities and outcomes
Papers in
- Health 8
- Health disparities and outcomes 7
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- Mental Health and Patient Involvement 3
- Co-authors
- Leopoldo J. Cabassa (2 shared papers)Carolina Vélez‐Grau (2 shared papers)Ana Stefančić (1 shared paper)Ellen P. Lukens (6 shared papers)Michelle R. Munson (2 shared papers)Laura L. Kimberly (2 shared papers)Manuel Sánchez-Montañés (2 shared papers)Erik Cambria (2 shared papers)
- Journals
- Future Generation Computer Systems (4 papers)Innovation in Aging (3 papers)Applied Sciences (2 papers)Cognitive Computation (2 papers)Journal of Gay & Lesbian Social Services (2 papers)
- Partner nations
- United StatesSpainSouth Korea
In The Last Decade
David Camacho
39 papers receiving 657 citations
Peers
Comparison fields: 5 of 121
- Health Informatics 11
- Health 46
- Social Psychology 103
- General Health Professions 106
- Clinical Psychology 80
Countries citing papers authored by David Camacho
This map shows the geographic impact of David Camacho'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 David Camacho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Camacho more than expected).
Fields of papers citing papers by David Camacho
This network shows the impact of papers produced by David Camacho. 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 David Camacho. The network helps show where David Camacho may publish in the future.
Co-authors
The 25 scholars most cited alongside David Camacho, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 129 | |
| 2 | 2020 | 49 | |
| 3 | 2021 | 45 | |
| 4 | 2020 | 35 | |
| 5 | 2020 | 35 | |
| 6 | 2022 | 35 | |
| 7 | 2017 | 34 | |
| 8 | 2018 | 32 | |
| 9 | 2020 | 28 | |
| 10 | 2021 | 23 | |
| 11 | 2019 | 22 | |
| 12 | 2017 | 21 | |
| 13 | 2023 | 19 | |
| 14 | 2016 | 17 | |
| 15 | 2023 | 16 | |
| 16 | 2016 | 13 | |
| 17 | 2019 | 11 | |
| 18 | 2021 | 10 | |
| 19 | 2016 | 10 | |
| 20 | 2022 | 10 |
About David Camacho
David Camacho is a scholar working on Health, General Health Professions, Social Psychology, Computer Networks and Communications and Sociology and Political Science, having authored 43 papers that have together received 670 indexed citations. Recurring topics across this work include Health disparities and outcomes (7 papers), COVID-19 diagnosis using AI (5 papers), Network Security and Intrusion Detection (4 papers), LGBTQ Health, Identity, and Policy (3 papers), Machine Learning in Healthcare (3 papers), Mental Health and Patient Involvement (3 papers), Qualitative Research Methods and Ethics (2 papers) and Artificial Intelligence in Healthcare (2 papers). The work is most often cited by research in Health Informatics (11 citations), Health (46 citations), Social Psychology (103 citations), General Health Professions (106 citations) and Clinical Psychology (80 citations). David Camacho has collaborated with scholars based in United States, Spain and South Korea. Frequent co-authors include Leopoldo J. Cabassa, Carolina Vélez‐Grau, Ana Stefančić, Ellen P. Lukens, Michelle R. Munson, Laura L. Kimberly, Manuel Sánchez-Montañés, Erik Cambria, Javier Huertas‐Tato and Javier Del Ser. Their work appears in journals such as Future Generation Computer Systems, Innovation in Aging, Applied Sciences, Cognitive Computation and Journal of Gay & Lesbian Social Services.
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.