Linda Moniz
- Statistical and Nonlinear Physics top 10%
- Artificial Intelligence
- Computer Networks and Communications
- Economics and Econometrics
- Public Health, Environmental and Occupational Health
- Co-authors
- Louis M. PecoraJonathan M. NicholsThomas L. CarrollAnna L. BuczakSteven M. BabinBenjamin BaugherErhan GuvenJoseph S. Lombardo
- Topics
- Chaos control and synchronization (5 papers)Data-Driven Disease Surveillance (5 papers)COVID-19 epidemiological studies (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEChaos An Interdisciplinary Journal of Nonlinear Science
- Partner nations
- United StatesPortugalIndia
In The Last Decade
Linda Moniz
14 papers receiving 266 citations
Peers
Comparison fields: 5 of 83
- Statistical and Nonlinear Physics 83
- Artificial Intelligence 78
- Computer Networks and Communications 49
- Economics and Econometrics 45
- Public Health, Environmental and Occupational Health 39
Countries citing papers authored by Linda Moniz
This map shows the geographic impact of Linda Moniz'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 Linda Moniz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linda Moniz more than expected).
Fields of papers citing papers by Linda Moniz
This network shows the impact of papers produced by Linda Moniz. 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 Linda Moniz. The network helps show where Linda Moniz may publish in the future.
Co-authorship network of co-authors of Linda Moniz
This figure shows the co-authorship network connecting the top 25 collaborators of Linda Moniz. A scholar is included among the top collaborators of Linda Moniz 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 Linda Moniz. Linda Moniz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 47 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 4 | |
| 5 | 50 | |
| 6 | 8 | |
| 7 | 11 | |
| 8 | 6 | |
| 9 | A method for generation and distribution of synthetic medical record data for evaluation of disease-monitoring systems | 6 |
| 10 | 109 | |
| 11 | 7 | |
| 12 | 1 | |
| 13 | 14 | |
| 14 | 10 | |
| 15 | 2 |
About Linda Moniz
Linda Moniz is a scholar working on Modeling and Simulation, Health Information Management and Statistical and Nonlinear Physics, having authored 15 papers that have together received 279 indexed citations. Recurring topics across this work include Chaos control and synchronization (5 papers), Data-Driven Disease Surveillance (5 papers) and COVID-19 epidemiological studies (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (83 citations), Modeling and Simulation (31 citations) and Health Information Management (16 citations). Linda Moniz has collaborated with scholars based in United States, Portugal and India. Frequent co-authors include Louis M. Pecora, Jonathan M. Nichols, Thomas L. Carroll, Anna L. Buczak, Steven M. Babin, Benjamin Baugher, Erhan Guven, Joseph S. Lombardo, Michael D. Todd and Jeannette R. Wait. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Chaos An Interdisciplinary Journal of Nonlinear Science.
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.