Marco L. Carrera

1.4k citations
36 papers · 907 indexed · h-index 17
Topics
Soil Moisture and Remote Sensing (19 papers)Climate variability and models (16 papers)Meteorological Phenomena and Simulations (16 papers)

In The Last Decade

Marco L. Carrera

34 papers receiving 897 citations

Peers

Marco L. Carrera
Comparison fields: 5 of 46
  • Atmospheric Science 746
  • Global and Planetary Change 566
  • Environmental Engineering 260
  • Water Science and Technology 142
  • Oceanography 73
Replace Bernard Bilodeau with:
Bernard Bilodeau Canada
Tracy Scanlon Austria
Mark Decker Australia
Freya Wilson United Kingdom
Craig D. Smith Canada
Boris Sevruk Switzerland
Matthias Bernhardt Austria
Lazhu China
Daniel F. Nadeau Canada
Jaakko Ikonen Finland
Marco L. Carrera relative to Bernard Bilodeau Canada Bernard Bilodeau's profile →
Citations per field
00.5×1.5×2.3×
Bernard Bilodeau · 1×
Citations per year

Countries citing papers authored by Marco L. Carrera

Since Specialization
Citations

This map shows the geographic impact of Marco L. Carrera'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 L. Carrera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco L. Carrera more than expected).

Fields of papers citing papers by Marco L. Carrera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marco L. Carrera. 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 L. Carrera. The network helps show where Marco L. Carrera may publish in the future.

Co-authorship network of co-authors of Marco L. Carrera

This figure shows the co-authorship network connecting the top 25 collaborators of Marco L. Carrera. A scholar is included among the top collaborators of Marco L. Carrera based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Marco L. Carrera. Marco L. Carrera is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 44
3 23
4 4
5 24
6 2
7 30
8 25
9
Towards the implementation of L-band Soil Moisture Brightness Temperatures in the Canadian Land Data Assimilation System (CaLDAS)
1
10 1
11 52
12 100
13 27
14 49
15
Soil Moisture Remote Sensing in the Canadian Land Data Assimilation System (CaLDAS)
1
16 46
17 6
18 5
19 92
20 17

About Marco L. Carrera

Marco L. Carrera is a scholar working on Atmospheric Science, Environmental Engineering and Global and Planetary Change, having authored 36 papers that have together received 907 indexed citations. Recurring topics across this work include Soil Moisture and Remote Sensing (19 papers), Climate variability and models (16 papers) and Meteorological Phenomena and Simulations (16 papers). The work is most often cited by research in Atmospheric Science (746 citations), Global and Planetary Change (566 citations) and Environmental Engineering (260 citations). Marco L. Carrera has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Stéphane Bélair, Bernard Bilodeau, R. Wayne Higgins, John R. Gyakum, Vernon E. Kousky, Vincent Fortin, Jason A. Milbrandt, Marcel Vallée, Anna Glazer and Maria Abrahamowicz. Their work appears in journals such as Journal of Climate, Water Resources Research and Monthly Weather Review.

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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