P. Blonda

2.3k citations
84 papers · 1.7k indexed · h-index 23

P. Blonda

80 papers receiving 1.6k citations

Peers

P. Blonda
Comparison fields: 5 of 119
  • Ecological Modeling 220
  • Media Technology 372
  • Ecology 633
  • Global and Planetary Change 466
  • Environmental Engineering 222
Replace Andrea Baraldi with:
Andrea Baraldi Italy
Yang Shao United States
Charlotte Pelletier France
Ajay Mathur India
Peter Strobl Italy
Manfred Ehlers Germany
Dino Ienco France
Pieter Kempeneers Belgium
P.F. Fisher United Kingdom
Felix Schiefer Germany
P. Blonda relative to Andrea Baraldi Italy Andrea Baraldi's profile →
Citations per field
00.5×1.5×2.3×
Andrea Baraldi · 1×
Citations per year

Countries citing papers authored by P. Blonda

Since Specialization
Citations

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

Fields of papers citing papers by P. Blonda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20238
2 202311
3 20217
4 202022
5 201725
6 201624
7
Current status of the Essential Variables as an instrument to assess the Earth Observation Networks in Europe
20161
8 201648
9 20168
10 20161
11 20157
12 201457
13 201444
14
Copernicus Biodiversity Monitoring Services
20131
15 200616
16 200561
17 200147
18 1999365
19 199815
20 19966

About P. Blonda

P. Blonda is a scholar working on Ecological Modeling, Media Technology, Ecology, Global and Planetary Change and Horticulture, having authored 84 papers that have together received 1.7k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (33 papers), Remote-Sensing Image Classification (28 papers), Land Use and Ecosystem Services (22 papers), Species Distribution and Climate Change (18 papers), Neural Networks and Applications (12 papers), Remote Sensing and Land Use (10 papers), Remote Sensing and LiDAR Applications (9 papers) and Geochemistry and Geologic Mapping (7 papers). The work is most often cited by research in Ecological Modeling (220 citations), Media Technology (372 citations), Ecology (633 citations), Global and Planetary Change (466 citations) and Environmental Engineering (222 citations). P. Blonda has collaborated with scholars based in Italy, United Kingdom and Greece. Frequent co-authors include Andrea Baraldi, Cristina Tarantino, Maria Adamo, Richard Lucas, Lorenzo Bruzzone, Valeria Tomaselli, G. Pasquariello, Harini Nagendra, Ioannis Manakos and C.A. Mücher. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, Remote Sensing, International Journal of Applied Earth Observation and Geoinformation, Scientific Reports and ISPRS Journal of Photogrammetry and Remote Sensing.

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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