Andrés Camero

933 citations
18 papers · 472 indexed · 1 hit paper · h-index 7
Topics
Remote-Sensing Image Classification (3 papers)Neural Networks and Applications (3 papers)Machine Learning in Materials Science (2 papers)

In The Last Decade

Andrés Camero

16 papers receiving 454 citations

Hit Papers

Smart City and information technology: A review2019202620212023201950100150200250

Peers

Andrés Camero
Comparison fields: 5 of 90
  • Media Technology 234
  • Transportation 97
  • Artificial Intelligence 66
  • Computer Vision and Pattern Recognition 61
  • Computer Networks and Communications 56
Replace Dimitris Karampatzakis with:
Dimitris Karampatzakis Greece
Uwe Wössner Germany
Devanjan Bhattacharya India
Fabian Dembski Germany
Stéphane Cédric Koumetio Tekouabou Morocco
Fahim Arif Pakistan
Roberto Vaccaro Italy
Yelena Popova Latvia
Ivana Šemanjski Belgium
Michael Gould Spain
Andrés Camero relative to Dimitris Karampatzakis Greece Dimitris Karampatzakis's profile →
Citations per field
00.5×3.4×
Dimitris Karampatzakis · 1×
Citations per year

Countries citing papers authored by Andrés Camero

Since Specialization
Citations

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

Fields of papers citing papers by Andrés Camero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrés Camero

This figure shows the co-authorship network connecting the top 25 collaborators of Andrés Camero. A scholar is included among the top collaborators of Andrés Camero 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 Andrés Camero. Andrés Camero is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
#WorkIndexed citations
1 0
2 3
3 2
4 2
5 0
6 40
7 75
8
DENETHOR: The DynamicEarthNET dataset for Harmonized, inter-Operable, analysis-Ready, daily crop monitoring from space
10
9 1
10 14
11 15
12
A Specialized Evolutionary Strategy Using Mean Absolute Error Random Sampling to Design Recurrent Neural Networks.
3
13
Smart City and information technology: A reviewbreakdown →
283
14 6
15 10
16 4
17 3
18 1

About Andrés Camero

Andrés Camero is a scholar working on Media Technology, Transportation and Artificial Intelligence, having authored 18 papers that have together received 472 indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (3 papers), Neural Networks and Applications (3 papers) and Machine Learning in Materials Science (2 papers). The work is most often cited by research in Media Technology (234 citations), Transportation (97 citations) and Management of Technology and Innovation (41 citations). Andrés Camero has collaborated with scholars based in Germany, Spain and United States. Frequent co-authors include Enrique Alba, Xiao Xiang Zhu, Jingliang Hu, Jamal Toutouh, Laura Leal-Taixé, Timothy Davis, Giovanni Marchisio, Daniel Cremers, Çağlar Şenaras and Mark Weber. Their work appears in journals such as Scientific Reports, IEEE Access and Applied Soft Computing.

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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