Alejandro Cama-Pinto

520 citations
31 papers · 411 · h-index 12

Impact in

Papers in

    • IoT Networks and Protocols 7
    • Millimeter-Wave Propagation and Modeling 5
    • Energy Load and Power Forecasting 4
    • Electric Vehicles and Infrastructure 2
    • Smart Agriculture and AI 10
    • Greenhouse Technology and Climate Control 3

Alejandro Cama-Pinto

29 papers receiving 393 citations

Peers

Alejandro Cama-Pinto
Comparison fields: 5 of 77
  • Computer Networks and Communications 95
  • Plant Science 140
  • Electrical and Electronic Engineering 207
  • Water Science and Technology 40
  • Nuclear Energy and Engineering 1
Replace Kailiang Li with:
Kailiang Li China
Cvetan Gavrovski North Macedonia
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Citations per year

Countries citing papers authored by Alejandro Cama-Pinto

Since Specialization
Citations

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

Fields of papers citing papers by Alejandro Cama-Pinto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alejandro Cama-Pinto. 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 Alejandro Cama-Pinto. The network helps show where Alejandro Cama-Pinto may publish in the future.

Co-authors

The 20 scholars most cited alongside Alejandro Cama-Pinto, 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 Alejandro Cama-Pinto Line = papers co-authored together Alejandro Cama-Pinto links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201345
2 201840
3 202234
4 201334
5 201933
6 201926
7 201424
8 201722
9 202019
10 201615
11 201513
12 202311
13 202110
14 202110
15 20219
16
Design of a low cost weather station for detecting environmental changes
20178
17 20236
18 20226
19 20136
20 20206

About Alejandro Cama-Pinto

Alejandro Cama-Pinto is a scholar working on Electrical and Electronic Engineering, Plant Science, Computer Networks and Communications, Environmental Engineering and Automotive Engineering, having authored 31 papers that have together received 411 indexed citations. Recurring topics across this work include Smart Agriculture and AI (10 papers), IoT Networks and Protocols (7 papers), Millimeter-Wave Propagation and Modeling (5 papers), Energy Load and Power Forecasting (4 papers), IoT and Edge/Fog Computing (4 papers), Greenhouse Technology and Climate Control (3 papers), Electric Vehicles and Infrastructure (2 papers) and Advanced Battery Technologies Research (2 papers). The work is most often cited by research in Computer Networks and Communications (95 citations), Plant Science (140 citations), Electrical and Electronic Engineering (207 citations), Water Science and Technology (40 citations) and Nuclear Energy and Engineering (1 citation). Alejandro Cama-Pinto has collaborated with scholars based in Spain, Colombia and Peru. Frequent co-authors include Francisco Manzano‐Agugliaro, Francisco G. Montoya, Juan A. Holgado-Terriza, Miguel Damas, Julio Gómez, Francisco M. Arrabal‐Campos, Emiro De-La-Hoz-Franco, Felipe Martínez, Amós García-Cruz and Antonio Zapata-Sierra. Their work appears in journals such as Sensors, Sustainability, Data in Brief, Computers and Electronics in Agriculture and International Journal of Environmental Research and Public Health.

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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