Miguel A. Prada

794 citations
54 papers · 507 indexed · h-index 14
Topics
Experimental Learning in Engineering (20 papers)Industrial Automation and Control Systems (9 papers)Advanced MEMS and NEMS Technologies (8 papers)
Partner nations
SpainPolandItaly

In The Last Decade

Miguel A. Prada

48 papers receiving 483 citations

Peers

Miguel A. Prada
Comparison fields: 5 of 82
  • Media Technology 129
  • Computer Networks and Communications 123
  • Control and Systems Engineering 121
  • Electrical and Electronic Engineering 116
  • Artificial Intelligence 95
Replace Serafí­n Alonso with:
Serafí­n Alonso Spain
Puming Wang China
William Tärneberg Sweden
Vincenzo Mighali Italy
Jesús Villadangos Spain
Krishna Kadiyala United States
Siyu Chen China
Diogo Gomes Portugal
Kun Hua United States
Miguel A. Prada relative to Serafí­n Alonso Spain Serafí­n Alonso's profile →
Citations per field
00.5×1.5×2.2×
Serafí­n Alonso · 1×
Citations per year

Countries citing papers authored by Miguel A. Prada

Since Specialization
Citations

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

Fields of papers citing papers by Miguel A. Prada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Miguel A. Prada. 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 Miguel A. Prada. The network helps show where Miguel A. Prada may publish in the future.

Co-authorship network of co-authors of Miguel A. Prada

This figure shows the co-authorship network connecting the top 25 collaborators of Miguel A. Prada. A scholar is included among the top collaborators of Miguel A. Prada 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 Miguel A. Prada. Miguel A. Prada 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 0
3 0
4 1
5 1
6 9
7 3
8 4
9 28
10 30
11 11
12 4
13 3
14 29
15 3
16 13
17 18
18 3
19 10
20 1

About Miguel A. Prada

Miguel A. Prada is a scholar working on Media Technology, Control and Systems Engineering and Signal Processing, having authored 54 papers that have together received 507 indexed citations. Recurring topics across this work include Experimental Learning in Engineering (20 papers), Industrial Automation and Control Systems (9 papers) and Advanced MEMS and NEMS Technologies (8 papers). The work is most often cited by research in Media Technology (129 citations), Computational Mathematics (8 citations) and Computer Science Applications (41 citations). Miguel A. Prada has collaborated with scholars based in Spain, Poland and Italy. Frequent co-authors include Manuel Domí­nguez, Juan J. Fuertes, Serafí­n Alonso, Antonio Morán, Daniel Pérez, Ignacio Díaz, Jaakko Hollmén, Antonio Morán, Jyrki Kullaa and Abel A. Cuadrado. Their work appears in journals such as Expert Systems with Applications, IEEE Access and Computers & Education.

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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