Donor Data Mining
Donor Data Mining is a systematic analytical process within prospect research that identifies, extracts, and interprets patterns, relationships, and predictive indicators from donor-related datasets to uncover actionable insights for fundraising and development strategies.
35
Publications
1K
Citations
110
Authors
60
Institutions
Publications per year
2017–2026
20
Parents
35
Prospecting for (Campaign) Gold
Wendy K. Tam Cho, James G. Gimpel · American Journal of Political Science · 2007 · 61 citations
Cultivating Disaster Donors Using Data Analytics
Ilya O. Ryzhov, Bin Han, Jelena Bradić · Management Science · 2015 · 53 citations
Saharon Rosset, Aron Inger · ACM SIGKDD Explorations Newsletter · 2000 · 46 citations
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University of Maryland, College Park
College Park, United States
3 h-index
5 publications
191 citations

University of Strathclyde
Glasgow, United Kingdom
1 h-index
2 publications
72 citations
Georgia Tech Research Institute
Atlanta, United States
1 h-index
1 publications
28 citations
National Penghu University of Science and Technology
Magong, Taiwan
1 h-index
1 publications
18 citations
North Carolina Agricultural and Technical State University
Greensboro, United States
1 h-index
2 publications
68 citations
University of Wisconsin–Madison
Madison, United States
1 h-index
1 publications
15 citations
Institute for Molecular Medicine Finland
Helsinki, Finland
1 h-index
1 publications
13 citations
Meta (United States)
Menlo Park, United States
1 h-index
6 publications
72 citations
1–8 of 60
AJPS · 2 publications · 130 citations
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2 publications · 63 citations
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2 publications · 27 citations
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IJACSA · 1 publications · 18 citations
1
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1 publications · 23 citations
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