Sanne C. Smid
- Statistics and Probability top 5%
- Clinical Psychology
- Management Science and Operations Research top 10%
- Sociology and Political Science
- Artificial Intelligence
- Co-authors
- Rens van de SchootDaniel McNeishMilica MiočevićSonja D. WinterWilma VolleberghGonneke W. J. M. StevensElisa L. DuinhofSarah Depaoli
- Topics
- Statistical Methods and Bayesian Inference (2 papers)Advanced Causal Inference Techniques (2 papers)Statistical Methods in Clinical Trials (2 papers)
- Cited by
- Statistics and ProbabilityManagement Science and Operations ResearchGeneral Decision Sciences
- Journals
- Statistics in MedicineFrontiers in PsychologySocial Psychiatry and Psychiatric Epidemiology
- Partner nations
- NetherlandsUnited StatesNorway
In The Last Decade
Sanne C. Smid
6 papers receiving 222 citations
Peers
Comparison fields: 5 of 94
- Statistics and Probability 61
- Clinical Psychology 45
- Management Science and Operations Research 41
- Sociology and Political Science 37
- Artificial Intelligence 27
Countries citing papers authored by Sanne C. Smid
This map shows the geographic impact of Sanne C. Smid'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 Sanne C. Smid with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sanne C. Smid more than expected).
Fields of papers citing papers by Sanne C. Smid
This network shows the impact of papers produced by Sanne C. Smid. 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 Sanne C. Smid. The network helps show where Sanne C. Smid may publish in the future.
Co-authorship network of co-authors of Sanne C. Smid
This figure shows the co-authorship network connecting the top 25 collaborators of Sanne C. Smid. A scholar is included among the top collaborators of Sanne C. Smid 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 Sanne C. Smid. Sanne C. Smid is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 28 | |
| 3 | 22 | |
| 4 | 4 | |
| 5 | 151 | |
| 6 | 14 | |
| 7 | 0 | |
| 8 | 5 |
About Sanne C. Smid
Sanne C. Smid is a scholar working on Statistics and Probability, Management Science and Operations Research and Health, having authored 8 papers that have together received 224 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (2 papers), Advanced Causal Inference Techniques (2 papers) and Statistical Methods in Clinical Trials (2 papers). The work is most often cited by research in Statistics and Probability (61 citations), Management Science and Operations Research (41 citations) and General Decision Sciences (5 citations). Sanne C. Smid has collaborated with scholars based in Netherlands, United States and Norway. Frequent co-authors include Rens van de Schoot, Daniel McNeish, Milica Miočević, Sonja D. Winter, Wilma Vollebergh, Gonneke W. J. M. Stevens, Elisa L. Duinhof, Sarah Depaoli, Tormod Bøe and Einar Heiervang. Their work appears in journals such as Statistics in Medicine, Frontiers in Psychology and Social Psychiatry and Psychiatric Epidemiology.
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.