National Research Council - Institute of Methodologies for Environmental Analysis
In research, National Research Council - Institute of Methodologies for Environmental Analysis stands highest in Physical Sciences (#3,895 of 12,888 worldwide), 2022–2025. Relative to its size it is most specialised in Global and Planetary Change and Earth and Planetary Sciences — Global and Planetary Change is 18.4× its share of world research.
- World rank, 2022–2025
- #6,686 of 28,054 · #6,076 all time
- Rank in Italy
- #191 of 618
- Research works
- 928 ▲ 33% vs 2013–17
- Citations
- 21k 23.0 per fractional work
- Top-10% rate
- 29.4% record average 16.5%
- Open access
- 51% world 28%
What is National Research Council - Institute of Methodologies for Environmental Analysis known for in research?
The fields where it stands highest, 2022–2025, ranked among every institution above the floor in each field.
| Field | World rank | Where that sits | Top-10% rate | Works | All time |
|---|---|---|---|---|---|
| Physical SciencesDomain | #3,895 of 12,888 | 28.6% | 152 | #3649 |
Each strip is that field’s whole ranked pool, with the notch where National Research Council - Institute of Methodologies for Environmental Analysis sits in it, in the colour of the band that rank falls in. The track under the rate is the rate itself: it carries no world mark, because the world rate differs by field (from about 6% to 21% in this record).
What does National Research Council - Institute of Methodologies for Environmental Analysis specialise in?
Where its research is concentrated relative to its size: Global and Planetary Change takes 18.4× the share of its output that it takes of world research.
- Global and Planetary ChangeSubfield · 25.0 works18×
- Earth and Planetary SciencesField · 44.1 works16×
Location quotient, a volume reading rather than an impact one. It surfaces small, lopsided specialities.
Field profile
Location quotient across every field it publishes in: outside the ring is more than an institution of this size would be expected to publish, inside it is less.
Rings at 0.5×, 1× and 2×. Widest outward: Earth and Planetary Sciences, 15.8×. Every wedge is a field page.
- Earth and Planetary Sciences 15.8×
- Environmental Science 6.3×
- Chemistry 1.2×
- Engineering 1.1×
- Energy 1.1×
- Agricultural and Biological Sciences 1.0×
- Arts and Humanities 1.0×
- Computer Science 0.9×
- Economics, Econometrics and Finance 0.6×
- Materials Science 0.5×
- Physics and Astronomy 0.4×
- Mathematics 0.3×
- Business, Management and Accounting 0.3×
- Health Professions 0.2×
- Social Sciences 0.2×
- Biochemistry, Genetics and Molecular Biology 0.2×
- Decision Sciences 0.1×
- Chemical Engineering 0.1×
- Neuroscience 0.1×
- Pharmacology, Toxicology and Pharmaceutics 0.1×
- Medicine 0.1×
- Psychology 0.0×
Who are the top researchers at National Research Council - Institute of Methodologies for Environmental Analysis?
Ranked on the composite score, V. Lapenna, Angela Perrone and Gemine Vivone lead among researchers whose main affiliation is National Research Council - Institute of Methodologies for Environmental Analysis.
- 1 V. Lapenna Italy · #203,054 worldwide 275 citations · 75 works
- 2 Angela Perrone Italy · #224,315 worldwide 151 citations · 39 works
- 3 Gemine Vivone Italy · #246,065 worldwide 279 citations · 52 works
- 4 M. Macchiato Italy · #255,991 worldwide 133 citations · 41 works
- 5 Stefano Pignatti Italy · #262,343 worldwide 131 citations · 43 works
- 6 Monica Salvia Italy · #302,433 worldwide 156 citations · 19 works
- 7 Filomena Pietrapertosa Italy · #351,409 worldwide 145 citations · 16 works
- 8 Simone Pascucci Italy · #362,203 worldwide 73 citations · 20 works
- 9 Enzo Rizzo Italy · #462,515 worldwide 120 citations · 51 works
- 10 Rosa Lasaponara Italy · #466,312 worldwide 194 citations · 83 works
Which keywords describe research at National Research Council - Institute of Methodologies for Environmental Analysis?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Remote Sensing, Climate Change, Air Quality, Cultural Heritage, Climate, Satellite Observations, Machine Learning and Hyperspectral.
- Archaeology
- Multispectral
- Boundary Layer
- Hydrological Modeling
- Vegetation Monitoring
- Global Change
- Convolutional Neural Network
- Satellite Imagery
- Black Carbon
- Feature Extraction
- Chemical Composition
- Terrestrial Laser Scanning
- Atmospheric Dust
- Hyperspectral Imaging
- Support Vector Machines
- Sustainability
- Satellite Observations
- Deep Learning
- Air Quality
- Climate Change
- Remote Sensing
- Machine Learning
- Cultural Heritage
- Climate
- Hyperspectral
- Biomass Estimation
- Hydrological Cycle
- Aerosols
- Land Use Change
- Wavelet Transform
- Sparse Representation
- Atmospheric Aerosols
- Classification
- Change Detection
- Image Analysis
- Phenology
- Data Assimilation
- Shale Gas
- Image Fusion
- Soil Properties
Size is fractional works in 2022–2025 in the topics tagged with each word; colour is the word's share of this institution's work against its share of the world's. The 40 words are chosen for being large and distinctive. Each links to the topic it comes from most.
All 40 words, with their numbers
- Remote Sensing51▲ 23×27 topics
- Climate Change22▲ 4.6×44 topics
- Machine Learning20▲ 3.3×20 topics
- Air Quality16▲ 48×5 topics
- Cultural Heritage14▲ 14×8 topics
- Deep Learning14▲ 2.2×21 topics
- Climate14▲ 87×2 topics
- Satellite Observations13▲ 77×3 topics
- Hyperspectral11▲ 72×2 topics
- Sustainability11▲ 2.5×24 topics
- Biomass Estimation10▲ 35×3 topics
- Support Vector Machines10▲ 17×3 topics
- Hydrological Cycle9▲ 55×2 topics
- Hyperspectral Imaging9▲ 17×6 topics
- Aerosols8▲ 66×1 topic
- Atmospheric Dust8▲ 183×1 topic
- Land Use Change8▲ 14×5 topics
- Terrestrial Laser Scanning8▲ 34×2 topics
- Wavelet Transform8▲ 18×3 topics
- Chemical Composition7▲ 40×3 topics
- Sparse Representation7▲ 19×5 topics
- Feature Extraction6▲ 7.9×3 topics
- Atmospheric Aerosols6▲ 64×1 topic
- Black Carbon6▲ 64×1 topic
- Classification6▲ 7.8×2 topics
- Satellite Imagery6▲ 27×4 topics
- Change Detection6▲ 51×1 topic
- Convolutional Neural Network6▲ 23×3 topics
- Image Analysis6▲ 37×1 topic
- Global Change6▲ 12×2 topics
- Phenology6▲ 49×1 topic
- Vegetation Monitoring6▲ 49×1 topic
- Data Assimilation5▲ 18×3 topics
- Hydrological Modeling5▲ 12×5 topics
- Shale Gas5▲ 22×2 topics
- Boundary Layer5▲ 22×2 topics
- Image Fusion5▲ 73×1 topic
- Multispectral5▲ 73×1 topic
- Soil Properties5▲ 15×4 topics
- Archaeology5▲ 19×2 topics
Which research topics does National Research Council - Institute of Methodologies for Environmental Analysis publish most on?
By volume in 2022–2025: Atmospheric aerosols and clouds, Atmospheric chemistry and aerosols, Remote-Sensing Image Classification and Remote Sensing in Agriculture.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Atmospheric aerosols and clouds Global and Planetary Change 8 works
- 2 Atmospheric chemistry and aerosols Atmospheric Science 6 works
- 3 Remote-Sensing Image Classification Media Technology 6 works
- 4 Remote Sensing in Agriculture Ecology 6 works
- 5 Advanced Image Fusion Techniques Media Technology 5 works
- 6 Atmospheric and Environmental Gas Dynamics Global and Planetary Change 4 works
- 7 Archaeological Research and Protection Space and Planetary Science 4 works
- 8 Meteorological Phenomena and Simulations Atmospheric Science 4 works
- 9 3D Surveying and Cultural Heritage Geology 4 works
- 10 Remote Sensing and LiDAR Applications Environmental Engineering 4 works
How open and international is its research?
Against the world’s own shares — the tick on each track. Both are shares of its output, so they sit on one scale and can be read against each other as well as against the world.
World: 28% of research is openly available.
World: 19% is written across borders.
How has National Research Council - Institute of Methodologies for Environmental Analysis's research output changed?
Output in 2018–2022 was 33% higher than in 2013–2017.
The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.
Research measures only: rankings here say nothing about teaching, admissions or student experience. Comparable institutions and collaboration partners are in the interactive view on the map.