J. J. Cárdenas

442 total citations
20 papers, 289 citations indexed

About

J. J. Cárdenas is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, J. J. Cárdenas has authored 20 papers receiving a total of 289 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Electrical and Electronic Engineering, 8 papers in Control and Systems Engineering and 4 papers in Artificial Intelligence. Recurrent topics in J. J. Cárdenas's work include Energy Load and Power Forecasting (6 papers), Machine Fault Diagnosis Techniques (5 papers) and Smart Grid Energy Management (4 papers). J. J. Cárdenas is often cited by papers focused on Energy Load and Power Forecasting (6 papers), Machine Fault Diagnosis Techniques (5 papers) and Smart Grid Energy Management (4 papers). J. J. Cárdenas collaborates with scholars based in Spain, Colombia and Venezuela. J. J. Cárdenas's co-authors include J. Cusidó, A. García, Fabio Andrade, L. Romeral, Jordi Solé‐Casals, Pere Martí-Puig, Konstantinos Kampouropoulos, J. A. Ortega, Luis Romeral and Cosmin Koch‐Ciobotaru and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and IEEE Transactions on Energy Conversion.

In The Last Decade

J. J. Cárdenas

20 papers receiving 277 citations

Peers

J. J. Cárdenas
Comparison fields: 5 of 59
  • Control and Systems Engineering 148
  • Electrical and Electronic Engineering 142
  • Artificial Intelligence 59
  • Mechanical Engineering 34
  • Safety, Risk, Reliability and Quality 27
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Citations per field, relative to J. J. Cárdenas
J. J. Cárdenas · 1×
Citations per year, relative to J. J. Cárdenas
J. J. Cárdenas · 1×

Countries citing papers authored by J. J. Cárdenas

Since Specialization
Citations

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

Fields of papers citing papers by J. J. Cárdenas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. J. Cárdenas

This figure shows the co-authorship network connecting the top 25 collaborators of J. J. Cárdenas. A scholar is included among the top collaborators of J. J. Cárdenas 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 J. J. Cárdenas. J. J. Cárdenas 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
# Work Indexed citations
1 13
2 18
3 41
4 34
5 12
6 12
7 9
8 1
9 24
10 10
11 7
12 7
13 10
14 10
15 32
16 19
17
A multi-objective GA to demand-side management in an automated warehouse
4
18
Stator short circuits detection in PMSM by means of Zhao-Atlas-Marks distribution and energy calculation
2
19 17
20 7

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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