Mauricio Sadinle
- Management Science and Operations Research top 5%
- Artificial Intelligence top 10%
- Statistics and Probability top 5%
- Epidemiology
- Information Systems
- Co-authors
- Stephen E. FienbergLarry WassermanJing LeiJerome P. ReiterSerge Aleshin‐GuendelTigran AvoundjianBrandon L. GuthrieJulia C. Dombrowski
- Topics
- Census and Population Estimation (6 papers)Data Quality and Management (5 papers)Data-Driven Disease Surveillance (4 papers)
- Cited by
- Statistics and ProbabilityManagement Science and Operations ResearchArtificial Intelligence
- Partner nations
- United StatesColombia
In The Last Decade
Mauricio Sadinle
13 papers receiving 213 citations
Peers
Comparison fields: 5 of 69
- Management Science and Operations Research 102
- Artificial Intelligence 95
- Statistics and Probability 83
- Epidemiology 72
- Information Systems 14
Countries citing papers authored by Mauricio Sadinle
This map shows the geographic impact of Mauricio Sadinle'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 Mauricio Sadinle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mauricio Sadinle more than expected).
Fields of papers citing papers by Mauricio Sadinle
This network shows the impact of papers produced by Mauricio Sadinle. 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 Mauricio Sadinle. The network helps show where Mauricio Sadinle may publish in the future.
Co-authorship network of co-authors of Mauricio Sadinle
This figure shows the co-authorship network connecting the top 25 collaborators of Mauricio Sadinle. A scholar is included among the top collaborators of Mauricio Sadinle 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 Mauricio Sadinle. Mauricio Sadinle is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 6 | |
| 3 | 10 | |
| 4 | 14 | |
| 5 | 5 | |
| 6 | 52 | |
| 7 | 14 | |
| 8 | 48 | |
| 9 | 1 | |
| 10 | 48 | |
| 11 | Approaches to Multiple Record Linkage | 11 |
| 12 | 9 | |
| 13 | Linking the Negative Binomial and Logarithmic Series Distributions via their Associated Series | 2 |
About Mauricio Sadinle
Mauricio Sadinle is a scholar working on Statistics and Probability, Management Science and Operations Research and Epidemiology, having authored 13 papers that have together received 222 indexed citations. Recurring topics across this work include Census and Population Estimation (6 papers), Data Quality and Management (5 papers) and Data-Driven Disease Surveillance (4 papers). The work is most often cited by research in Statistics and Probability (83 citations), Management Science and Operations Research (102 citations) and Artificial Intelligence (95 citations). Mauricio Sadinle has collaborated with scholars based in United States and Colombia. Frequent co-authors include Stephen E. Fienberg, Larry Wasserman, Jing Lei, Jerome P. Reiter, Serge Aleshin‐Guendel, Tigran Avoundjian, Brandon L. Guthrie, Julia C. Dombrowski, Janet Baseman and Matthew R. Golden. Their work appears in journals such as Journal of the American Statistical Association, Biometrics and Biometrika.
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.