Jessica Enright
- Artificial Intelligence
- Modeling and Simulation top 5%
- Agronomy and Crop Science top 10%
- Infectious Diseases
- Computer Networks and Communications
- Co-authors
- Rowland R. KaoMilan MarkovićGeorgios LeontidisDavid R. MatthewsGrzegorz KondrakAnthony O’HareThomas A. MorrisonTiziana Lembo
- Topics
- Animal Disease Management and Epidemiology (6 papers)COVID-19 epidemiological studies (5 papers)Complex Network Analysis Techniques (4 papers)
- Partner nations
- United KingdomCanadaTanzania
In The Last Decade
Jessica Enright
25 papers receiving 329 citations
Peers
Comparison fields: 5 of 92
- Artificial Intelligence 65
- Modeling and Simulation 51
- Agronomy and Crop Science 48
- Infectious Diseases 47
- Computer Networks and Communications 46
Countries citing papers authored by Jessica Enright
This map shows the geographic impact of Jessica Enright'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 Jessica Enright with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jessica Enright more than expected).
Fields of papers citing papers by Jessica Enright
This network shows the impact of papers produced by Jessica Enright. 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 Jessica Enright. The network helps show where Jessica Enright may publish in the future.
Co-authorship network of co-authors of Jessica Enright
This figure shows the co-authorship network connecting the top 25 collaborators of Jessica Enright. A scholar is included among the top collaborators of Jessica Enright 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 Jessica Enright. Jessica Enright 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 | 2 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 14 | |
| 6 | 10 | |
| 7 | 53 | |
| 8 | 29 | |
| 9 | 4 | |
| 10 | Changing times to optimise reachability in temporal graphs | 2 |
| 11 | 59 | |
| 12 | 7 | |
| 13 | 10 | |
| 14 | 4 | |
| 15 | 2 | |
| 16 | 5 | |
| 17 | 7 | |
| 18 | The application of chordal graphs to inferring phylogenetic trees of languages | 5 |
| 19 | 6 | |
| 20 | 12 |
About Jessica Enright
Jessica Enright is a scholar working on Modeling and Simulation, Agronomy and Crop Science and Business and International Management, having authored 29 papers that have together received 343 indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (6 papers), COVID-19 epidemiological studies (5 papers) and Complex Network Analysis Techniques (4 papers). The work is most often cited by research in Modeling and Simulation (51 citations), Agronomy and Crop Science (48 citations) and Statistical and Nonlinear Physics (31 citations). Jessica Enright has collaborated with scholars based in United Kingdom, Canada and Tanzania. Frequent co-authors include Rowland R. Kao, Milan Marković, Georgios Leontidis, David R. Matthews, Grzegorz Kondrak, Anthony O’Hare, Thomas A. Morrison, Tiziana Lembo, Joram Buza and J. Grant C. Hopcraft. Their work appears in journals such as PLoS ONE, Scientific Reports and Journal of Theoretical Biology.
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.