Marco Cony

537 citations
9 papers · 433 · h-index 6

Impact in

Papers in

Marco Cony

8 papers receiving 418 citations

Peers

Marco Cony
Comparison fields: 5 of 51
  • Renewable Energy, Sustainability and the Environment 210
  • Artificial Intelligence 284
  • Environmental Engineering 59
  • Electrical and Electronic Engineering 206
  • Global and Planetary Change 62
Replace Luis Mazorra-Aguiar with:
Luis Mazorra-Aguiar Spain
Robert Blaga Romania
R. Meenal India
Remus Boata Romania
Anton Driesse United States
Patrick Mathiesen United States
Marcelo Pinho Almeida Brazil
Ben Kurtz United States
Lukas Nonnenmacher United States
Martín Gastón Spain
Marco Cony relative to Luis Mazorra-Aguiar Spain Luis Mazorra-Aguiar's profile →
Citations per field
00.5×3.1×
Luis Mazorra-Aguiar · 1×
Citations per year

Countries citing papers authored by Marco Cony

Since Specialization
Citations

This map shows the geographic impact of Marco Cony's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Marco Cony with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco Cony more than expected).

Fields of papers citing papers by Marco Cony

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marco Cony. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Marco Cony. The network helps show where Marco Cony may publish in the future.

Co-authors

The 13 scholars most cited alongside Marco Cony, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Marco Cony Line = papers co-authored together Marco Cony links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2010255
2 201182
3 201156
4
Influence of synoptic scale in the generation of extremely cold days in Europe
200816
5 201113
6
Synoptic patterns that contribute to extremely hot days in Europe
20108
7
Analysis of Solar Irradiation Anomalies in Long Term Over India
20122
8
Modelling solar irradiance from HRV images of Meteosat Second Generation
20101
9
A New Physical Model to Estimate Solar Irradiance Componets on the Earth's Surface from Satellite Images
20170

About Marco Cony

Marco Cony is a scholar working on Artificial Intelligence, Global and Planetary Change, Astronomy and Astrophysics, Pollution and Atmospheric Science, having authored 9 papers that have together received 433 indexed citations. Recurring topics across this work include Solar Radiation and Photovoltaics (7 papers), Photovoltaic System Optimization Techniques (2 papers), Energy and Environment Impacts (2 papers), Solar and Space Plasma Dynamics (2 papers), Climate variability and models (2 papers), Atmospheric aerosols and clouds (1 paper), Tree-ring climate responses (1 paper) and Calibration and Measurement Techniques (1 paper). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (210 citations), Artificial Intelligence (284 citations), Environmental Engineering (59 citations), Electrical and Electronic Engineering (206 citations) and Global and Planetary Change (62 citations). Marco Cony has collaborated with scholars based in Spain. Frequent co-authors include Luis Martín Pomares, Jesús Polo, R. Marchante, Luis F. Zarzalejo, Ana Navarro, Sancho Salcedo‐Sanz, C. Casanova‐Mateo, Emilio G. Ortiz‐García, Manuel Romero and Antonio Navarro. Their work appears in journals such as Solar Energy, Renewable Energy, Atmósfera, EGU General Assembly Conference Abstracts and EGUGA.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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