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. 20.5% 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%
- 6.5k per year above
- Top-10% rate
- 20.5% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- +40% the tick is no change
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 (2.2k and 643 works in 2022–2025).
By volume, 2022–2025
- 1 China 2.2k works
- 2 India 643 works
- 3 United States 458 works
- 4 Saudi Arabia 205 works
- 5 Indonesia 172 works
- 6 France 172 works
- 7 Russia 161 works
- 8 Pakistan 151 works
- 9 Canada 123 works
- 10 Türkiye 123 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 2022–2025, Harbin Institute of Technology publishes the most Mathematical and Theoretical Epidemiology and Ecology Models research, followed by Minzu University of China and Xinjiang University.
By volume, 2022–2025
- 1 Harbin Institute of TechnologyChina 42 works
- 2 Minzu University of ChinaChina 38 works
- 3 Xinjiang UniversityChina 36 works
- 4 Shanxi UniversityChina 34 works
- 5 Lanzhou UniversityChina 33 works
- 6 Northeast Forestry UniversityChina 31 works
- 7 King Abdulaziz UniversitySaudi Arabia 30 works
- 8 Indian Institute of Engineering Science and Technology, ShibpurIndia 29 works
- 9 China University of Petroleum, East ChinaChina 29 works
- 10 Central South UniversityChina 28 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 Guanrong Chen, Tasawar Hayat and Jinde Cao.
- 1 Guanrong Chen Hong Kong 5.4k citations
- 2 Tasawar Hayat Pakistan 4.6k citations
- 3 Jinde Cao China 4.2k citations
- 4 Robert M. May United States 4.2k citations
- 5 Frank L. Lewis United States 3.8k citations
- 6 Brian D. O. Anderson Australia 3.6k citations
- 7 Lihua Xie Singapore 3.2k citations
- 8 Miroslav Krstić United States 3.1k 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 2022–2025 are Beijing (China), Xi'an (China), Shanghai (China) and Harbin (China). Among places with at least 20 works in it, it is an unusually large share of all research in Howrah.
Largest cities, 2022–2025
Where it is the local speciality
- HowrahIN · 30.3 works32×
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 University of Dhaka score highest, combining 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 table below. The upper left is the interesting corner: small places doing unusually strong work.
| # | University | Score | Top 10% | Specialisation | Works | Growth |
|---|---|---|---|---|---|---|
| 1 | Lebanese American UniversityLebanon | 72.8 | 57.6% | 21.4× | 15 | — |
| 2 | Debre Berhan UniversityEthiopia | 71.6 | 71.5% | 66.7× | 16 | — |
| 3 | University of DhakaBangladesh | 69.5 | 40.3% | 12.3× | 18 | +267.7% |
| 4 | Indian Institute of Engineering Science and Technology, ShibpurIndia | 69.0 | 50.1% | 43.1× | 29 | +55.8% |
| 5 | China University of Petroleum, East ChinaChina | 68.6 | 31.0% | 9.6× | 29 | +349.0% |
| 6 | King Abdulaziz UniversitySaudi Arabia | 68.4 | 22.9% | 8.8× | 30 | +219.1% |
| 7 | Near East UniversityCyprus | 65.4 | 49.5% | 17.7× | 15 | — |
| 8 | Minzu University of ChinaChina | 65.0 | 12.2% | 20.2× | 38 | +398.9% |
| 9 | Shanxi UniversityChina | 65.0 | 14.5% | 20.3× | 34 | +251.8% |
| 10 | University of Hassan II CasablancaMorocco | 63.6 | 22.6% | 13.3× | 22 | +366.6% |
Universities only. Score blends excellence (30%), specialisation (25%), size (20%), growth (15%) and international reach (10%), 2015–2022; growth compares 2010–14 with 2015–19.
Is Mathematical and Theoretical Epidemiology and Ecology Models research growing?
Output in 2018–2022 was 40% higher than in 2013–2017, 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.
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.