Desi Rodriguez-Lonebear

9 papers receiving 903 citations

Hit Papers

The CARE Principles for Indigenous Data Governance20202026202220242020100200300400500

Peers

Desi Rodriguez-Lonebear
Comparison fields: 5 of 134
  • Sociology and Political Science 198
  • General Health Professions 196
  • Information Systems 181
  • Health 171
  • Public Health, Environmental and Occupational Health 129
Replace Ibrahim Garba with:
Ibrahim Garba United States
Robyn Rowe Canada
Māui Hudson New Zealand
Stephanie Russo Carroll United States
Rodrigo Sara South Africa
Óscar Luis Figueroa Rodríguez Mexico
Jane Anderson United States
Jarita Holbrook United States
Kay Raseroka Botswana
S. Terry Childs United Kingdom
Desi Rodriguez-Lonebear relative to Ibrahim Garba United States Ibrahim Garba's profile →
Citations per field
00.5×1.5×1.8×
Ibrahim Garba · 1×
Citations per year

Countries citing papers authored by Desi Rodriguez-Lonebear

Since Specialization
Citations

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

Fields of papers citing papers by Desi Rodriguez-Lonebear

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Desi Rodriguez-Lonebear. 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 Desi Rodriguez-Lonebear. The network helps show where Desi Rodriguez-Lonebear may publish in the future.

Co-authorship network of co-authors of Desi Rodriguez-Lonebear

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

All Works

9 of 9 papers shown
#WorkIndexed citations
1 7
2 20
3 90
4
The CARE Principles for Indigenous Data Governancebreakdown →
523
5 152
6
US Census Response Rates on American Indian Reservations in the 2020 Census and in the 2010 Census
1
7 152
8 3
9
Policy Brief: Data Governance for Native Nation Rebuilding
4

About Desi Rodriguez-Lonebear

Desi Rodriguez-Lonebear is a scholar working on Management Science and Operations Research, Modeling and Simulation and Statistics and Probability, having authored 9 papers that have together received 952 indexed citations. Recurring topics across this work include Data Quality and Management (3 papers), Research Data Management Practices (2 papers) and Indigenous Health, Education, and Rights (1 paper). The work is most often cited by research in Health (171 citations), Space and Planetary Science (21 citations) and Information Systems and Management (103 citations). Desi Rodriguez-Lonebear has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Stephanie Russo Carroll, Andrew Martinez, Jennifer Walker, Robyn Rowe, Raymond Lovett, Maggie Walter, Tahu Kukutai, Óscar Luis Figueroa Rodríguez, Ibrahim Garba and Jane Anderson. Their work appears in journals such as Journal of Public Health Management and Practice, Data Science Journal and Sociology of Race and Ethnicity.

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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