Christopher Fonnesbeck
- Ecology top 5%
- Astronomy and Astrophysics top 5%
- Epidemiology top 10%
- Artificial Intelligence top 5%
- Molecular Biology
- Co-authors
- Thomas V. WieckiJohn SalvatierDavid HuardAnand P. PatilMelissa L McPheetersMichael C. RungeKatriona SheaMatthew J. Ferrari
- Topics
- Respiratory viral infections research (6 papers)Marine animal studies overview (5 papers)COVID-19 epidemiological studies (5 papers)
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- United StatesUnited KingdomJordan
In The Last Decade
Christopher Fonnesbeck
69 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 215
- Ecology 500
- Astronomy and Astrophysics 473
- Epidemiology 430
- Artificial Intelligence 386
- Molecular Biology 344
Countries citing papers authored by Christopher Fonnesbeck
This map shows the geographic impact of Christopher Fonnesbeck'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 Christopher Fonnesbeck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Fonnesbeck more than expected).
Fields of papers citing papers by Christopher Fonnesbeck
This network shows the impact of papers produced by Christopher Fonnesbeck. 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 Christopher Fonnesbeck. The network helps show where Christopher Fonnesbeck may publish in the future.
Co-authorship network of co-authors of Christopher Fonnesbeck
This figure shows the co-authorship network connecting the top 25 collaborators of Christopher Fonnesbeck. A scholar is included among the top collaborators of Christopher Fonnesbeck 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 Christopher Fonnesbeck. Christopher Fonnesbeck is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | PyMC: a modern, and comprehensive probabilistic programming framework in Pythonbreakdown → | 244 |
| 2 | 8 | |
| 3 | 8 | |
| 4 | 51 | |
| 5 | 28 | |
| 6 | 18 | |
| 7 | 34 | |
| 8 | 13 | |
| 9 | 13 | |
| 10 | PyMC3: Python probabilistic programming framework | 29 |
| 11 | 9 | |
| 12 | Psychosocial and Pharmacologic Interventions for Disruptive Behavior in Children and Adolescents | 9 |
| 13 | 59 | |
| 14 | 20 | |
| 15 | 50 | |
| 16 | Progestogens for Prevention of Preterm Birth | 3 |
| 17 | PyMC: Bayesian Stochastic Modelling in Python | 3 |
| 18 | 32 | |
| 19 | 20 | |
| 20 | 14 |
About Christopher Fonnesbeck
Christopher Fonnesbeck is a scholar working on Modeling and Simulation, Nature and Landscape Conservation and Ecology, having authored 72 papers that have together received 4.2k indexed citations. Recurring topics across this work include Respiratory viral infections research (6 papers), Marine animal studies overview (5 papers) and COVID-19 epidemiological studies (5 papers). The work is most often cited by research in Instrumentation (148 citations), Modeling and Simulation (177 citations) and Astronomy and Astrophysics (473 citations). Christopher Fonnesbeck has collaborated with scholars based in United States, United Kingdom and Jordan. Frequent co-authors include Thomas V. Wiecki, John Salvatier, David Huard, Anand P. Patil, Melissa L McPheeters, Michael C. Runge, Katriona Shea, Matthew J. Ferrari, Michael J. Tildesley and Shanthi Krishnaswami. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.
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.