Lisa V. Hampson
- Statistics and Probability top 1%
- Economics and Econometrics top 5%
- Management Science and Operations Research top 5%
- Statistics, Probability and Uncertainty top 2%
- Molecular Biology
- Co-authors
- Thomas JakiChristopher JennisonPhilip PallmannAdrian ManderGraham WheelerChristina YapJames WasonBabak Choodari‐Oskooei
- Topics
- Statistical Methods in Clinical Trials (30 papers)Health Systems, Economic Evaluations, Quality of Life (22 papers)Advanced Causal Inference Techniques (10 papers)
- Cited by
- Statistics and ProbabilityStatistics, Probability and UncertaintyManagement Science and Operations Research
- Partner nations
- United KingdomSwitzerlandUnited States
In The Last Decade
Lisa V. Hampson
41 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Statistics and Probability 469
- Economics and Econometrics 298
- Management Science and Operations Research 139
- Statistics, Probability and Uncertainty 119
- Molecular Biology 114
Countries citing papers authored by Lisa V. Hampson
This map shows the geographic impact of Lisa V. Hampson'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 Lisa V. Hampson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lisa V. Hampson more than expected).
Fields of papers citing papers by Lisa V. Hampson
This network shows the impact of papers produced by Lisa V. Hampson. 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 Lisa V. Hampson. The network helps show where Lisa V. Hampson may publish in the future.
Co-authorship network of co-authors of Lisa V. Hampson
This figure shows the co-authorship network connecting the top 25 collaborators of Lisa V. Hampson. A scholar is included among the top collaborators of Lisa V. Hampson 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 Lisa V. Hampson. Lisa V. Hampson 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 | 1 | |
| 3 | 3 | |
| 4 | 5 | |
| 5 | 12 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 7 | |
| 9 | 23 | |
| 10 | 9 | |
| 11 | 96 | |
| 12 | Adaptive designs in clinical trials: why use them, and how to run and report thembreakdown → | 415 |
| 13 | 3 | |
| 14 | 7 | |
| 15 | 4 | |
| 16 | 1 | |
| 17 | 13 | |
| 18 | 7 | |
| 19 | 69 | |
| 20 | 18 |
About Lisa V. Hampson
Lisa V. Hampson is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Economics and Econometrics, having authored 43 papers that have together received 1.0k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (30 papers), Health Systems, Economic Evaluations, Quality of Life (22 papers) and Advanced Causal Inference Techniques (10 papers). The work is most often cited by research in Statistics and Probability (469 citations), Statistics, Probability and Uncertainty (119 citations) and Management Science and Operations Research (139 citations). Lisa V. Hampson has collaborated with scholars based in United Kingdom, Switzerland and United States. Frequent co-authors include Thomas Jaki, Christopher Jennison, Philip Pallmann, Adrian Mander, Graham Wheeler, Christina Yap, James Wason, Babak Choodari‐Oskooei, Jane Holmes and Sofía S. Villar. Their work appears in journals such as Blood, PLoS ONE and British Journal of Cancer.
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.