Olivia Lau
Impact in
-
- Electoral Systems and Political Participation
- Politics and Society in Latin America
- Communication top 10%
- Social Media and Politics
Papers in
-
- Data Analysis with R 3
-
- Acute Myeloid Leukemia Research 2
- Multiple Myeloma Research and Treatments 2
- Co-authors
- Kosuke Imai (3 shared papers)Gary King (2 shared papers)Jonathan Wand (1 shared paper)Liying Zhang (2 shared papers)Lee Mozessohn (3 shared papers)Matthew C. Cheung (2 shared papers)Rena Buckstein (3 shared papers)Selım Gürel (1 shared paper)
- Journals
- Journal of Hepatology (1 paper)PS Political Science & Politics (1 paper)Leukemia Research (1 paper)Blood (1 paper)Journal of Affective Disorders (1 paper)
- Partner nations
- CanadaUnited StatesItaly
In The Last Decade
Olivia Lau
9 papers receiving 586 citations
Peers
Comparison fields: 5 of 128
- Political Science and International Relations 179
- Communication 40
- Development 17
- Statistics and Probability 38
- Sociology and Political Science 177
Countries citing papers authored by Olivia Lau
This map shows the geographic impact of Olivia Lau'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 Olivia Lau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Olivia Lau more than expected).
Fields of papers citing papers by Olivia Lau
This network shows the impact of papers produced by Olivia Lau. 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 Olivia Lau. The network helps show where Olivia Lau may publish in the future.
Co-authors
The 25 scholars most cited alongside Olivia Lau, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Zelig: Everyone's Statistical Software | 2006 | 283 |
| 2 | 2008 | 265 | |
| 3 | 2018 | 35 | |
| 4 | 2011 | 31 | |
| 5 | 2007 | 19 | |
| 6 | Everyone's Statistical Software [R package Zelig version 5.1.7] | 2020 | 3 |
| 7 | 2016 | 2 | |
| 8 | 2016 | 1 | |
| 9 | 2017 | 1 | |
| 10 | 2025 | 0 |
About Olivia Lau
Olivia Lau is a scholar working on Artificial Intelligence, Hematology, Infectious Diseases, Statistics and Probability and Molecular Biology, having authored 10 papers that have together received 640 indexed citations. Recurring topics across this work include Data Analysis with R (3 papers), Acute Myeloid Leukemia Research (2 papers), Multiple Myeloma Research and Treatments (2 papers), HIV/AIDS drug development and treatment (2 papers), Statistical Methods and Bayesian Inference (2 papers), Computational and Text Analysis Methods (1 paper), Advanced Causal Inference Techniques (1 paper) and Histone Deacetylase Inhibitors Research (1 paper). The work is most often cited by research in Political Science and International Relations (179 citations), Communication (40 citations), Development (17 citations), Statistics and Probability (38 citations) and Sociology and Political Science (177 citations). Olivia Lau has collaborated with scholars based in Canada, United States and Italy. Frequent co-authors include Kosuke Imai, Gary King, Gary King, Jonathan Wand, Liying Zhang, Lee Mozessohn, Matthew C. Cheung, Rena Buckstein, Selım Gürel and Ferruccio Bonino. Their work appears in journals such as Journal of Hepatology, PS Political Science & Politics, Leukemia Research, Blood and Journal of Affective Disorders.
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.