Lora Billings

1.3k citations
49 papers · 968 · h-index 18

Impact in

Papers in

Lora Billings

48 papers receiving 917 citations

Peers

Lora Billings
Comparison fields: 5 of 99
  • Modeling and Simulation 250
  • Statistical and Nonlinear Physics 349
  • Public Health, Environmental and Occupational Health 422
  • Infectious Diseases 158
  • Computer Networks and Communications 205
Replace Carl P. Simon with:
Carl P. Simon United States
Patrick De Leenheer United States
Konstantin B. Blyuss United Kingdom
Hernán G. Solari Argentina
Yuliya N. Kyrychko United Kingdom
Somdatta Sinha India
Laurent Hébert‐Dufresne United States
Lin Hu China
Sergei S. Pilyugin United States
Gergely Röst Hungary
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Citations per field
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Citations per year

Countries citing papers authored by Lora Billings

Since Specialization
Citations

This map shows the geographic impact of Lora Billings'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 Lora Billings with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lora Billings more than expected).

Fields of papers citing papers by Lora Billings

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lora Billings. 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 Lora Billings. The network helps show where Lora Billings may publish in the future.

Co-authors

The 25 scholars most cited alongside Lora Billings, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lora Billings Line = papers co-authored together Lora Billings links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005131
2 200288
3 200265
4 200545
5 200645
6 200341
7 200938
8 200237
9 200028
10 200727
11 200127
12 200526
13 200226
14 198424
15 200223
16 201721
17 200420
18 201218
19 200917
20 201317

About Lora Billings

Lora Billings is a scholar working on Statistical and Nonlinear Physics, Public Health, Environmental and Occupational Health, Genetics, Computer Networks and Communications and Modeling and Simulation, having authored 49 papers that have together received 968 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (14 papers), Evolution and Genetic Dynamics (13 papers), Nonlinear Dynamics and Pattern Formation (12 papers), COVID-19 epidemiological studies (11 papers), Chaos control and synchronization (8 papers), stochastic dynamics and bifurcation (8 papers), Quantum chaos and dynamical systems (7 papers) and Ecosystem dynamics and resilience (7 papers). The work is most often cited by research in Modeling and Simulation (250 citations), Statistical and Nonlinear Physics (349 citations), Public Health, Environmental and Occupational Health (422 citations), Infectious Diseases (158 citations) and Computer Networks and Communications (205 citations). Lora Billings has collaborated with scholars based in United States, Italy and Netherlands. Frequent co-authors include Ira B. Schwartz, Derek A. T. Cummings, Leah B. Shaw, Erik M. Bollt, Donald S. Burke, William M. Spears, Eric Forgoston, M. I. Dykman, Zonghua Liu and James H. Curry. Their work appears in journals such as Chaos An Interdisciplinary Journal of Nonlinear Science, Physica D Nonlinear Phenomena, Physical Review Letters, Mathematical Biosciences and Physics Letters A.

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.

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