Jacqueline E. Rudolph
- Statistics and Probability top 5%
- Epidemiology
- Infectious Diseases
- General Health Professions
- Public Health, Environmental and Occupational Health
- Co-authors
- Ashley I. NaimiShruti H. MehtaBryan LauYongqi ZhongPriya DuggalMatthew P. FoxEnrique F. SchistermanCatherine R. Lesko
- Topics
- Advanced Causal Inference Techniques (14 papers)HIV, Drug Use, Sexual Risk (9 papers)HIV/AIDS Research and Interventions (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaAnnals of Internal MedicineAmerican Journal of Epidemiology
- Partner nations
- United StatesCanada
In The Last Decade
Jacqueline E. Rudolph
29 papers receiving 180 citations
Peers
Comparison fields: 5 of 69
- Statistics and Probability 59
- Epidemiology 37
- Infectious Diseases 34
- General Health Professions 26
- Public Health, Environmental and Occupational Health 21
Countries citing papers authored by Jacqueline E. Rudolph
This map shows the geographic impact of Jacqueline E. Rudolph'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 Jacqueline E. Rudolph with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacqueline E. Rudolph more than expected).
Fields of papers citing papers by Jacqueline E. Rudolph
This network shows the impact of papers produced by Jacqueline E. Rudolph. 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 Jacqueline E. Rudolph. The network helps show where Jacqueline E. Rudolph may publish in the future.
Co-authorship network of co-authors of Jacqueline E. Rudolph
This figure shows the co-authorship network connecting the top 25 collaborators of Jacqueline E. Rudolph. A scholar is included among the top collaborators of Jacqueline E. Rudolph 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 Jacqueline E. Rudolph. Jacqueline E. Rudolph 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 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 44 | |
| 8 | 4 | |
| 9 | 3 | |
| 10 | 2 | |
| 11 | 1 | |
| 12 | 9 | |
| 13 | 3 | |
| 14 | 6 | |
| 15 | 11 | |
| 16 | 17 | |
| 17 | 9 | |
| 18 | 10 | |
| 19 | 6 | |
| 20 | 6 |
About Jacqueline E. Rudolph
Jacqueline E. Rudolph is a scholar working on Statistics and Probability, Infectious Diseases and Modeling and Simulation, having authored 34 papers that have together received 188 indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (14 papers), HIV, Drug Use, Sexual Risk (9 papers) and HIV/AIDS Research and Interventions (8 papers). The work is most often cited by research in Statistics and Probability (59 citations), Infectious Diseases (34 citations) and Health Informatics (2 citations). Jacqueline E. Rudolph has collaborated with scholars based in United States and Canada. Frequent co-authors include Ashley I. Naimi, Shruti H. Mehta, Bryan Lau, Yongqi Zhong, Priya Duggal, Matthew P. Fox, Enrique F. Schisterman, Catherine R. Lesko, Edward H. Kennedy and Stephen R. Cole. Their work appears in journals such as SHILAP Revista de lepidopterología, Annals of Internal Medicine and American Journal of 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.