Science Explorer Interactive view Map
Subfield · Environmental Science

Ecological Modeling research

Ecological Modeling is a subfield of Environmental Science. Science Explorer counts 96k research works in it since 1950. 21.4% of them reached the world's top 10% most cited for their field and year.

In short: computational or theoretical approach to ecology.

Research works
96k
fractional, since 1950
In the world top 10%
20k
per year above
Top-10% rate
21.4%
share of its works in the world top 10%
Topics
3
Growth, 2013–17 → 2018–22
+3%
the tick is no change

What is Ecological Modeling research about, and what is growing?

By the world's output in 2019–23, its most used keywords are Climate Change, Species Distribution Modeling, Erosion, Solid Particle, Analytic Hierarchy Process, Fuzzy Modeling. Gaining share since 2009–13: Climate Change, Species Distribution Modeling, Erosion, Solid Particle. Losing share: Analytic Hierarchy Process, Fuzzy Modeling.

▲ gaining share of this field◆ holding its share▼ losing share

Size is the world's fractional works in 2019–23 in the topics tagged with each word; colour compares the word's share of this field with 2009–13. Each links to the topic it comes from most.

All 6 words, with their numbers
  1. Climate Change15k▲ 2.5×1 topic
  2. Species Distribution Modeling15k▲ 2.5×1 topic
  3. Erosion2,359▲ 2.1×1 topic
  4. Solid Particle2,359▲ 2.1×1 topic
  5. Analytic Hierarchy Process1,675▼ 0.14×1 topic
  6. Fuzzy Modeling1,675▼ 0.14×1 topic

Which countries lead Ecological Modeling research?

On research quality in 2022–2025, the United States, China and the United Kingdom rank highest in Ecological Modeling. By volume, China and the United States publish the most (3.9k and 2.6k works in 2022–2025).

By research quality, 2022–2025

  1. 1 United States · #1 all time 28.2% top 10% · 2.6k works
  2. 2 China · #3 all time 25.4% top 10% · 3.9k works
  3. 3 United Kingdom · #2 all time 34.9% top 10% · 672 works
  4. 4 Germany · #5 all time 39.5% top 10% · 548 works
  5. 5 Australia · #4 all time 32.7% top 10% · 598 works
  6. 6 France · #6 all time 32.9% top 10% · 440 works
  7. 7 India · #10 all time 20.1% top 10% · 967 works
  8. 8 Canada · #7 all time 33.0% top 10% · 430 works
  9. 9 Spain · #9 all time 31.7% top 10% · 430 works
  10. 10 Brazil · #11 all time 22.4% top 10% · 533 works

The track on each row is that row’s top-10% rate. The ranking itself is the composite score, which the rate is only one part of.

Of 14 countries ranked in Ecological Modeling. Composite of field-normalised excellence (50%), output (30%) and citations (20%); the bracket is the all-time rank.

All countries ranked in Ecological Modeling

By volume, 2022–2025

  1. 1 China 3.9k works
  2. 2 United States 2.6k works
  3. 3 India 967 works
  4. 4 United Kingdom 672 works
  5. 5 Australia 598 works
  6. 6 Germany 548 works
  7. 7 Brazil 533 works
  8. 8 France 440 works
  9. 9 Canada 430 works
  10. 10 Spain 430 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.

China: 35.1%United States: 23.2%India: 8.7%United Kingdom: 6.1%6 others listed: 26.9%35%largest
China3,876 · 35.1%United States2,563 · 23.2%India967 · 8.7%United Kingdom672 · 6.1%6 others listed2,978 · 26.9%

Shares of the rows listed above, not of the whole node.

Which institutions lead Ecological Modeling research?

Chinese Academy of Sciences (China) ranks first in Ecological Modeling on research quality in 2022–2025, followed by Universidad Nacional Autónoma de México.

By research quality, 2022–2025

  1. 1 Chinese Academy of Sciences China · Beijing · #10 all time 41.2% top 10% · 108 works
  2. 2 Universidad Nacional Autónoma de México Mexico · Mexico City · #27 all time 19.8% top 10% · 72 works

The track on each row is that row’s top-10% rate. The ranking itself is the composite score, which the rate is only one part of.

Of 2 institutions above the floor of 40 fractional works in Ecological Modeling.

Top 100 Ecological Modeling institutions

By volume, 2022–2025

  1. 1 Chinese Academy of SciencesChina 108 works
  2. 2 Universidad Nacional Autónoma de MéxicoMexico 73 works
  3. 3 Centre National de la Recherche ScientifiqueFrance 60 works
  4. 4 University of Chinese Academy of SciencesChina 55 works
  5. 5 United States Geological SurveyUnited States 50 works
  6. 6 University of FloridaUnited States 49 works
  7. 7 State Grid Corporation of China (China)China 49 works
  8. 8 North China Electric Power UniversityChina 45 works
  9. 9 University of British ColumbiaCanada 43 works
  10. 10 China Southern Power Grid (China)China 38 works

Who are the leading researchers in Ecological Modeling?

Among the most productive authors in Ecological Modeling, Deborah Estrin, Rob Knight and Pietro Perona rank highest on the composite score.

  1. 1 Deborah Estrin United States · #60 worldwide 5.9k citations · 183 works
  2. 2 Rob Knight United States · #97 worldwide 4.9k citations · 202 works
  3. 3 Pietro Perona United States · #223 worldwide 11k citations · 109 works
  4. 4 Markus Reichstein Germany · #1,232 worldwide 3.2k citations · 155 works
  5. 5 Peter B. Reich United States · #1,283 worldwide 4.1k citations · 157 works
  6. 6 Daniel Simberloff United States · #1,360 worldwide 2.9k citations · 130 works
  7. 7 A.G. Evans United States · #1,647 worldwide 3.2k citations · 161 works
  8. 8 Shilong Piao China · #1,710 worldwide 2.6k citations · 94 works
  9. 9 Wilfried Thuiller France · #1,864 worldwide 1.9k citations · 96 works
  10. 10 Daniel H. Janzen United States · #1,965 worldwide 2.1k citations · 131 works

Re-ranked on the composite score from the 4,069 highest-output authors in Ecological Modeling. Identities come from OpenAlex author disambiguation, which occasionally merges or splits people.

Top 100 Ecological Modeling researchers

Where is Ecological Modeling research done?

The largest centres of Ecological Modeling research in 2022–2025 are Beijing (China), Nanjing (China), Paris (France) and Shanghai (China).

Largest cities, 2022–2025

  1. 1 Beijing China 936 works
  2. 2 Nanjing China 181 works
  3. 3 Paris France 173 works
  4. 4 Shanghai China 164 works
  5. 5 Guangzhou China 158 works
  6. 6 Xi'an China 149 works
  7. 7 Wuhan China 143 works
  8. 8 Chengdu China 142 works
  9. 9 Washington D.C. United States 137 works
  10. 10 London United Kingdom 133 works
See Ecological Modeling on the map

Ecological Modeling research by country

The best places for Ecological Modeling research inside each country, with that country's researchers and world standing.

Where is the best place to study Ecological Modeling?

Among universities, judged by research, Czech University of Life Sciences Prague, Swedish University of Agricultural Sciences and École Pratique des Hautes Études 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.

0%20%40%60%mean 36.14%fractional works in this node (log) →share in the world top 10% →Czech University of Life Sciences Prague: 15, 43.3%Swedish University of Agricultural Sciences: 20, 49.3%École Pratique des Hautes Études: 10, 38.2%University of Tulsa: 13, 33.4%China West Normal University: 22, 51.1%Wildlife Institute of India: 31, 22.7%Universidade Estadual de Santa Cruz: 12, 23.6%Charles Darwin University: 13, 35.5%University of Alaska Fairbanks: 10, 34.1%Chengdu Institute of Biology: 10, 30.2%Swedish University o…Czech University of …École Pratique des H…University of Tulsa
above the meannear itbelow it

One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.

#UniversityScoreTop 10%SpecialisationWorksGrowth
1 Czech University of Life Sciences PragueCzechia 67.343.3%9.7×15 +153.3%
2 Swedish University of Agricultural SciencesSweden 63.349.3%8.4×20 +49.9%
3 École Pratique des Hautes ÉtudesFrance 60.138.2%8.6×10 +404.9%
4 University of TulsaUnited States 58.333.4%14.5×13 +152.3%
5 China West Normal UniversityChina 57.551.1%11.9×22 -55.9%
6 Wildlife Institute of IndiaIndia 55.322.7%90.0×31 +68.7%
7 Universidade Estadual de Santa CruzBrazil 53.423.6%9.2×12 +252.4%
8 Charles Darwin UniversityAustralia 52.635.5%11.9×13 -5.9%
9 University of Alaska FairbanksUnited States 52.534.1%11.2×10 +58.9%
10 Chengdu Institute of BiologyChina 51.830.2%24.9×10 +84.0%

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 Ecological Modeling research growing?

Output in 2018–2022 was 3% higher than in 2013–2017, peaking in 2011. The fastest-growing topics are Species Distribution and Climate Change and Erosion and Abrasive Machining.

19801990200020102020
grewheldshrank

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.

  1. Species Distribution and Climate Change+144%
  2. Erosion and Abrasive Machining+104%
  3. Evaluation Methods in Various Fields-78%
← shrinkingno changegrowing →

Growth in output from 2005–09 to 2015–19. Every topic is a page of its own.

What does Ecological Modeling include?