Andrea Baraldi

4.0k citations
93 papers · 3.0k · h-index 26

Impact in

Papers in

Andrea Baraldi

88 papers receiving 2.7k citations

Peers

Andrea Baraldi
Comparison fields: 5 of 152
  • Media Technology 1000
  • Computer Vision and Pattern Recognition 767
  • Ecology 722
  • Artificial Intelligence 878
  • Atmospheric Science 418
Replace Mikhaïl Kanevski with:
Mikhaïl Kanevski Switzerland
Robert A. Schowengerdt United States
Manfred Ehlers Germany
Michele Volpi Switzerland
Peng Liu China
Raul Queiroz Feitosa Brazil
Haohuan Fu China
Mingmin Chi China
Dino Ienco France
Begüm Demir Germany
Andrea Baraldi relative to Mikhaïl Kanevski Switzerland Mikhaïl Kanevski's profile →
Citations per field
00.5×1.5×
Mikhaïl Kanevski · 1×
Citations per year

Countries citing papers authored by Andrea Baraldi

Since Specialization
Citations

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

Fields of papers citing papers by Andrea Baraldi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrea Baraldi. 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 Andrea Baraldi. The network helps show where Andrea Baraldi may publish in the future.

Co-authors

The 25 scholars most cited alongside Andrea Baraldi, 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 Andrea Baraldi Line = papers co-authored together Andrea Baraldi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995461
2 1999367
3 1995328
4 2019157
5 1995122
6 1999109
7 200692
8 199572
9
A vegetation map of South America
200266
10 200262
11 200561
12 199561
13 200956
14 201252
15 201450
16 200147
17 200647
18 201638
19 201237
20 201937

About Andrea Baraldi

Andrea Baraldi is a scholar working on Media Technology, Artificial Intelligence, Computer Vision and Pattern Recognition, Ecology and Atmospheric Science, having authored 93 papers that have together received 3.0k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (45 papers), Geochemistry and Geologic Mapping (23 papers), Advanced Image Fusion Techniques (20 papers), Remote Sensing in Agriculture (19 papers), Neural Networks and Applications (12 papers), Image Retrieval and Classification Techniques (11 papers), Remote Sensing and Land Use (10 papers) and Geographic Information Systems Studies (9 papers). The work is most often cited by research in Media Technology (1000 citations), Computer Vision and Pattern Recognition (767 citations), Ecology (722 citations), Artificial Intelligence (878 citations) and Atmospheric Science (418 citations). Andrea Baraldi has collaborated with scholars based in Italy, Austria and United States. Frequent co-authors include F. Parmiggiani, P. Blonda, Dirk Tiede, Martin Sudmanns, Stefan Lang, Luigi Boschetti, Lorenzo Bruzzone, Hannah Augustin, Ethem Alpaydın and Thomas Blaschke. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, Remote Sensing, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) and Big Earth Data.

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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