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Ecological Modeling research

Ecological Modeling is a subfield of Environmental Science. Science Explorer counts 96k research works in it since 1950. 9.9% 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%
9.4k
per year above
Top-10% rate
9.9%
share of its works in the world top 10%
Topics
3
Growth, 2018-21 → 2022-25
+15%
the tick is no change
Largest producer
China
35% of the 10 largest, 2022-now

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

By the world's output in 2021-25, its most used keywords are Climate Change, Species Distribution Modeling, Erosion, Solid Particle, Analytic Hierarchy Process, Fuzzy Modeling. Gaining share since 2011-15: 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 2021-25 in the topics tagged with each word; colour compares the word's share of this field with 2011-15. Each links to the topic it comes from most.

All 6 words, with their numbers
  1. Climate Change16k▲ 1.89×1 topic
  2. Species Distribution Modeling16k▲ 1.89×1 topic
  3. Erosion2,610▲ 1.80×1 topic
  4. Solid Particle2,610▲ 1.80×1 topic
  5. Analytic Hierarchy Process2,178▼ 0.20×1 topic
  6. Fuzzy Modeling2,178▼ 0.20×1 topic

Which countries lead Ecological Modeling research?

On research quality in 2022-now, China, the United States and the United Kingdom rank highest in Ecological Modeling. By volume, China and the United States publish the most (4.5k and 2.9k works in 2022-now).

By research quality, 2022-now

  1. 1 China #1 all time 1.16× citation excellence · 0.99× journals · 100% breadth 12.3% top 10% · 3.9k works
  2. 2 United States #2 all time 0.94× citation excellence · 1.51× journals · 100% breadth 10.1% top 10% · 2.6k works
  3. 3 United Kingdom #3 all time 1.19× citation excellence · 1.46× journals · 100% breadth 12.6% top 10% · 672 works
  4. 4 Germany #4 all time 1.35× citation excellence · 1.41× journals · 100% breadth 14.4% top 10% · 548 works
  5. 5 Australia #5 all time 1.11× citation excellence · 1.20× journals · 100% breadth 11.7% top 10% · 598 works
  6. 6 France #7 all time 1.11× citation excellence · 1.27× journals · 100% breadth 11.5% top 10% · 440 works
  7. 7 Canada #8 all time 1.11× citation excellence · 1.22× journals · 100% breadth 11.4% top 10% · 430 works
  8. 8 Spain #9 all time 1.10× citation excellence · 0.98× journals · 100% breadth 9.4% top 10% · 430 works
  9. 9 Italy #15 all time 1.13× citation excellence · 0.67× journals · 100% breadth 10.5% top 10% · 338 works
  10. 10 India #13 all time 0.79× citation excellence · 0.42× journals · 100% breadth 6.5% top 10% · 967 works

The track on each row is that row's top-10% rate. The ranking itself is the quality score, which compares the rate with what each place's own topics predict, adds its share of papers in the Nature Index journals, and counts output and breadth too.

Of 14 countries ranked in Ecological Modeling. Ranked on the quality score for 2022-now; the bracket is the all-time rank.

All countries ranked in Ecological Modeling

By volume, 2022-now

  1. 1 China 4.5k works
  2. 2 United States 2.9k works
  3. 3 India 1.2k works
  4. 4 United Kingdom 768 works
  5. 5 Australia 674 works
  6. 6 Germany 664 works
  7. 7 Brazil 636 works
  8. 8 France 516 works
  9. 9 Spain 497 works
  10. 10 Canada 487 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: 34.9%United States: 22.9%India: 9.0%United Kingdom: 6.0%6 others listed: 27.2%35%largest
China4,467 · 34.9%United States2,925 · 22.9%India1,157 · 9.0%United Kingdom768 · 6.0%6 others listed3,474 · 27.2%

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-now, followed by Centre National de la Recherche Scientifique and Consejo Superior de Investigaciones Científicas.

By research quality, 2022-now

  1. 1 Chinese Academy of Sciences China · Beijing · #2 all time 15.1% top 10% · 289 works
  2. 2 Centre National de la Recherche Scientifique France · Paris · #9 all time 11.1% top 10% · 179 works
  3. 3 Consejo Superior de Investigaciones Científicas Spain · Madrid · #27 all time 8.9% top 10% · 104 works
  4. 4 Leibniz Association Germany · Berlin · #22 all time 11.2% top 10% · 73 works
  5. 5 United States Geological Survey United States · Reston · #44 all time 9.2% top 10% · 77 works
  6. 6 University of Florida United States · Gainesville · #50 all time 11.3% top 10% · 63 works
  7. 7 United States Department of Agriculture United States · Washington · #81 all time 12.7% top 10% · 64 works
  8. 8 Consejo Nacional de Investigaciones Científicas y Técnicas Argentina · Buenos Aires · #85 all time 4.8% top 10% · 70 works
  9. 9 Universidad Nacional Autónoma de México Mexico · Mexico City · #93 all time 3.7% top 10% · 72 works
  10. 10 Russian Academy of Sciences Russia · Moscow · #100 all time 3.0% top 10% · 112 works

The track on each row is that row's top-10% rate. The ranking itself is the quality score, which compares the rate with what each place's own topics predict, adds its share of papers in the Nature Index journals, and counts output and breadth too.

Of 10 institutions above the floor of 40 fractional works in Ecological Modeling.

Top 100 Ecological Modeling institutions

Who are the leading researchers in Ecological Modeling?

Counting only their work in Ecological Modeling, Wilfried Thuiller, Antoine Guisan and Hugh P. Possingham have the most papers in the world top 10% for their subfield and year beyond the 10% expected.

  1. 1 Wilfried Thuiller France · #290 worldwide overall 70.5 of 116 papers here in the top 10%
  2. 2 Antoine Guisan Switzerland · #4,869 worldwide overall 48.7 of 92 papers here in the top 10%
  3. 3 Hugh P. Possingham Australia · #6,728 worldwide overall 45.7 of 89 papers here in the top 10%
  4. 4 Miguel B. Araújo Spain · #2,176 worldwide overall 39.6 of 63 papers here in the top 10%
  5. 5 Jens‐Christian Svenning Denmark · #3,331 worldwide overall 41.5 of 94 papers here in the top 10%
  6. 6 Walter Jetz United States · #197 worldwide overall 36.2 of 56 papers here in the top 10%
  7. 7 Niklaus E. Zimmermann Switzerland · #2,188 worldwide overall 36.2 of 59 papers here in the top 10%
  8. 8 A. Townsend Peterson United States · #53,199 worldwide overall 43.7 of 141 papers here in the top 10%
  9. 9 Jonathan Lenoir France · #3,917 worldwide overall 33.3 of 63 papers here in the top 10%
  10. 10 Kevin J. Gaston United Kingdom · #1,604 worldwide overall 34.3 of 81 papers here in the top 10%

Ranked on their work in Ecological Modeling alone: how many more of their papers here reached the world top 10% for their subfield and year than the 10% expected, among 287,785 ranked researchers with a paper here. Each paper counts once, so many strong papers outrank one famous one, and a long record of ordinary papers does not climb. Identities come from OpenAlex author disambiguation, which occasionally merges or splits people.

Top 100 Ecological Modeling researchers

What are the most cited papers in Ecological Modeling?

The most cited paper in Ecological Modeling is "Biodiversity hotspots for conservation priorities" (Norman Myers, Russell A. Mittermeier, Cristina Goettsch Mittermeier et al., 2000), with 31,783 citations. Next come "Maximum entropy modeling of species geographic distributions" (18,119) and "Red and photographic infrared linear combinations for monitoring vegetation" (11,851).

Most cited papers
#PaperReleasedCitations
1 Biodiversity hotspots for conservation priorities Norman Myers, Russell A. Mittermeier, Cristina Goettsch Mittermeier et al. · Nature Feb 2000 31,783
2 Maximum entropy modeling of species geographic distributions Steven J. Phillips, Robert P. Anderson, Robert E. Schapire · Ecological Modelling 18 Jul 2005 18,119
3 Red and photographic infrared linear combinations for monitoring vegetation Compton J. Tucker · Remote Sensing of Environment Open access May 1979 11,851
4 A globally coherent fingerprint of climate change impacts across natural systems Camille Parmesan, Gary Yohe · Nature 2003 11,364
5 Collinearity: a review of methods to deal with it and a simulation study evaluating their performance Carsten F. Dormann, Jane Elith, Sven Bacher et al. · Ecography Open access 18 May 2012 11,040
All 100 most cited papers, with filters and sorting

Where is Ecological Modeling research done?

The largest centres of Ecological Modeling research in 2022-now are Beijing (China), Nanjing (China), Paris (France) and Shanghai (China). Among places with at least 20 works in it, it is an unusually large share of all research in Birmensdorf and Tongren.

Largest cities, 2022-now

  1. 1 BeijingChina 1k works
  2. 2 NanjingChina 208 works
  3. 3 ParisFrance 201 works
  4. 4 ShanghaiChina 182 works
  5. 5 Xi'anChina 178 works
  6. 6 GuangzhouChina 176 works
  7. 7 ChengduChina 160 works
  8. 8 LondonUnited Kingdom 156 works
  9. 9 WuhanChina 155 works
  10. 10 Washington D.C.United States 155 works

Where it is the local speciality

  1. BirmensdorfCH · 22.5 works37×
  2. TongrenCN · 21.6 works35×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Ecological Modeling than the world average.

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, North China Electric Power University, University of Chinese Academy of Sciences and Tsinghua University score highest, combining standing in the field's ranking, citation excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.

0%10%20%mean 14.65%fractional works in this field (log) →share of work in the world top 10% →Central South Univer…Tsinghua UniversityUniversity of Chines…North China Electric…
above the meannear itbelow it

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.

Standingthis field's institution ranking, three quarters all time and a quarter 2022-now
50%
Citation excellenceshare of its work in the world top 10%, 2022-now and all time averaged
20%
Specialisationhow much of its work is in this field, counted up to 10× the world share
5%
Sizeits output in this field, on a log scale
15%
Growthoutput growth, counted from -20% to +20%
5%
Internationalshare of its work with a co-author abroad
5%
Each slider sets a weight; the share it gets of the score is beside it.
#UniversityScoreRank in field (all time)Top 10%SpecialisationWorksGrowth
1North China Electric Power UniversityChina 76.7- (#1)8.0%4.5×48 -6.1%
2University of Chinese Academy of SciencesChina 67.7- (#4)15.4%2.3×61 +35.9%
3Tsinghua UniversityChina 64.9- (#3)15.7%0.8×29 +56.0%
4Central South UniversityChina 56.0- (#7)19.4%0.8×27 +43.5%
5Tongji UniversityChina 55.3- (#5)12.7%0.9×22 +28.4%
6Chongqing UniversityChina 50.4- (#11)17.3%1.7×29 +69.0%
7Hohai UniversityChina 50.4- (#8)12.7%2.5×24 +11.3%
8University of OxfordUnited Kingdom 48.4- (#19)13.0%1.9×44 +12.3%
9Hunan UniversityChina 47.6- (#6)14.5%0.8×9 +28.3%
10Wuhan UniversityChina 46.4- (#14)17.8%1.1×26 +54.7%

Universities only. The score blends standing (50%), citation excellence (20%), size (15%), specialisation (5%), growth (5%), international reach (5%), 2022-now; growth compares 2018-21 with 2022-25 and counts up to +20%, since a jump from a small base is mostly noise. Standing is the score in this field's institution ranking, three quarters over all time and a quarter 2022-now; excellence averages the two windows too. Four years alone undercount fields such as AI, where many conference and arXiv papers from 2022 on carry no affiliation in the data.

Every institution in Ecological Modeling, country by country

Is Ecological Modeling research growing?

Output in 2022-2025 was 15% higher than in 2018-2021, peaking in 2011. The fastest-growing topics are Evaluation Methods in Various Fields, Erosion and Abrasive Machining and Species Distribution and Climate Change.

still counting19801990200020102020
grewheldshrank

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 Ecological Modeling as a percentage of every work published that year, 0.075% in 2024.

still counting0.10%0.20%Ecological Modeling0.076% in 202519801990200020102020

Fractional works of Ecological Modeling 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.

still counting5%10%15%Ecological Modeling9.9% in 2025200020102020

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.

  1. Evaluation Methods in Various Fields+46%
  2. Erosion and Abrasive Machining+18%
  3. Species Distribution and Climate Change+11%
← shrinkingno changegrowing →

Growth in output from 2018-21 to 2022-25. Every topic is a page of its own.

What does Ecological Modeling include?

Share who leads Ecological Modeling

Who leads Ecological Modeling, on Science Explorer

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The leading institutions' badges6Each links to that institution's page and updates with every snapshot

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