Mathematical and Theoretical Epidemiology and Ecology Models
Mathematical and Theoretical Epidemiology and Ecology Models is a research topic within Public Health, Environmental and Occupational Health. Science Explorer counts 32k research works in it since 1951. 10.0% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on mathematical modeling and analysis of disease transmission, population dynamics, and predator-prey interactions. It covers topics such as epidemic models, global stability, infectious diseases, Allee effects, and the use of stochastic differential equations to study these phenomena.
- Disease Transmission
- Population Dynamics
- Epidemic Models
- Predator-Prey Interactions
- Global Stability
- Mathematical Modeling
- Stochastic Differential Equations
- Infectious Diseases
- Allee Effects
- Spatial Patterns
- Research works
- 32k fractional, since 1951
- In the world top 10%
- 3.2k per year above
- Top-10% rate
- 10.0% share of its works in the world top 10%
- Growth, 2018-21 → 2022-25
- +15% the tick is no change
- Largest producer
China
50% of the 10 largest, 2022-now
This ranks research output and citation impact. It says nothing about the quality of diagnosis, treatment or care.
Which countries lead Mathematical and Theoretical Epidemiology and Ecology Models research?
By volume, China and India publish the most (2.5k and 734 works in 2022-now).
By volume, 2022-now
- 1
China 2.5k works
- 2
India 734 works
- 3
United States 522 works
- 4
Saudi Arabia 237 works
- 5
Indonesia 190 works
- 6
France 189 works
- 7
Russia 172 works
- 8
Pakistan 164 works
- 9
Türkiye 136 works
- 10
Canada 134 works
How concentrated that is
The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.
Shares of the rows listed above, not of the whole node.
Which institutions lead Mathematical and Theoretical Epidemiology and Ecology Models research?
By volume in 2022-now, Centre National de la Recherche Scientifique publishes the most Mathematical and Theoretical Epidemiology and Ecology Models research, followed by Russian Academy of Sciences and Harbin Institute of Technology.
By volume, 2022-now
- 1
Centre National de la Recherche Scientifique
France 82 works
- 2
Russian Academy of Sciences
Russia 55 works
- 3
Harbin Institute of Technology
China 46 works
- 4
Xinjiang University
China 43 works
- 5
Minzu University of China
China 41 works
- 6
Shanxi University
China 38 works
- 7
Lanzhou University
China 37 works
- 8
Northeast Forestry University
China 36 works
- 9
King Abdulaziz University
Saudi Arabia 33 works
- 10
Indian Institute of Engineering Science and Technology, Shibpur
India 32 works
Who are the leading researchers in Mathematical and Theoretical Epidemiology and Ecology Models?
The most-cited researchers publishing on Mathematical and Theoretical Epidemiology and Ecology Models include Simon Iain Hay, Kai You Wang and Eugene V. Koonin.
- 1
Simon Iain Hay
United States 452k citations
- 2
Kai You Wang
China 224k citations
- 3
Eugene V. Koonin
United States 217k citations
- 4
David Tilman
United States 209k citations
- 5
Harry Eugene Stanley
United States 198k citations
- 6
PAUL S. F. YIP
China 196k citations
- 7
André Karch
Germany 194k citations
- 8
Peter Donnelly
United Kingdom 175k citations
- 9
H. Vincent Poor
United States 165k citations
- 10
Stephen R. Carpenter
United States 165k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Mathematical and Theoretical Epidemiology and Ecology Models research done?
The largest centres of Mathematical and Theoretical Epidemiology and Ecology Models research in 2022-now are Beijing (China), Xi'an (China), Harbin (China) and Shanghai (China). Among places with at least 20 works in it, it is an unusually large share of all research in Howrah.
Largest cities, 2022-now
Where it is the local speciality
- HowrahIN · 33.7 works31×
Location quotient: how much more of its research is in Mathematical and Theoretical Epidemiology and Ecology Models than the world average.
Where is the best place to study Mathematical and Theoretical Epidemiology and Ecology Models?
Among universities, judged by research, Lebanese American University, Debre Berhan University and Prince Sultan University score highest, combining citation excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.
One dot per university in the first ten of the table below, at the default weights. The upper left is the interesting corner: small places doing unusually strong work.
Universities only. The score blends citation excellence (40%), size (30%), specialisation (10%), growth (10%), international reach (10%), 2022-now; growth compares 2018-21 with 2022-25 and counts up to +20%, since a jump from a small base is mostly noise.
Every institution in Mathematical and Theoretical Epidemiology and Ecology Models, country by countryIs Mathematical and Theoretical Epidemiology and Ecology Models research growing?
Output in 2022-2025 was 15% higher than in 2018-2021, peaking in 2022. The fastest-growing topics are Mathematical and Theoretical Epidemiology and Ecology Models.
The same series as a ribbon: one cell per year, darker for more. The line above answers how much; this answers when.
Its share of all research
Growing output can still be a shrinking share: all of science grows. This is Mathematical and Theoretical Epidemiology and Ecology Models as a percentage of every work published that year, 0.029% in 2024.
Fractional works of Mathematical and Theoretical Epidemiology and Ecology Models over all fractional works that year. How the balance of science has shifted.
How much of it reaches the world top 10%
Year by year.
Of each year's works in it, the share that reached the world's 10% most cited for their field and year. A field is the world for its own topics, so there is no other line to hold it against.
Which topics inside it are moving
Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.
Discussion
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