Luka Eciolaza
- Control and Systems Engineering top 5%
- Artificial Intelligence top 10%
- Industrial and Manufacturing Engineering top 5%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Michio SugenoTadanari TaniguchiAnh‐Tu NguyenReinaldo M. PalharesVíctor Costa da Silva CamposGracián TriviñoEnric TrillasNestor Arana-Arexolaleiba
- Topics
- Control Systems and Identification (7 papers)Industrial Vision Systems and Defect Detection (7 papers)Fuzzy Logic and Control Systems (5 papers)
- Cited by
- Industrial and Manufacturing EngineeringControl and Systems EngineeringArtificial Intelligence
- Partner nations
- SpainJapanUnited States
In The Last Decade
Luka Eciolaza
32 papers receiving 543 citations
Hit Papers
Peers
Comparison fields: 5 of 83
- Control and Systems Engineering 227
- Artificial Intelligence 172
- Industrial and Manufacturing Engineering 101
- Electrical and Electronic Engineering 77
- Computer Vision and Pattern Recognition 61
Countries citing papers authored by Luka Eciolaza
This map shows the geographic impact of Luka Eciolaza'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 Luka Eciolaza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luka Eciolaza more than expected).
Fields of papers citing papers by Luka Eciolaza
This network shows the impact of papers produced by Luka Eciolaza. 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 Luka Eciolaza. The network helps show where Luka Eciolaza may publish in the future.
Co-authorship network of co-authors of Luka Eciolaza
This figure shows the co-authorship network connecting the top 25 collaborators of Luka Eciolaza. A scholar is included among the top collaborators of Luka Eciolaza 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 Luka Eciolaza. Luka Eciolaza is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 2 | |
| 5 | 29 | |
| 6 | 3 | |
| 7 | 3 | |
| 8 | Fuzzy Control Systems: Past, Present and Futurebreakdown → | 274 |
| 9 | 4 | |
| 10 | 23 | |
| 11 | 9 | |
| 12 | 2 | |
| 13 | 13 | |
| 14 | 6 | |
| 15 | 3 | |
| 16 | 0 | |
| 17 | 3 | |
| 18 | 2 | |
| 19 | 6 | |
| 20 | 8 |
About Luka Eciolaza
Luka Eciolaza is a scholar working on Industrial and Manufacturing Engineering, Control and Systems Engineering and Computational Theory and Mathematics, having authored 35 papers that have together received 561 indexed citations. Recurring topics across this work include Control Systems and Identification (7 papers), Industrial Vision Systems and Defect Detection (7 papers) and Fuzzy Logic and Control Systems (5 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (101 citations), Control and Systems Engineering (227 citations) and Artificial Intelligence (172 citations). Luka Eciolaza has collaborated with scholars based in Spain, Japan and United States. Frequent co-authors include Michio Sugeno, Tadanari Taniguchi, Anh‐Tu Nguyen, Reinaldo M. Palhares, Víctor Costa da Silva Campos, Gracián Triviño, Enric Trillas, Nestor Arana-Arexolaleiba, Martín Pereira-Fariña and Imanol Andonegui. Their work appears in journals such as Expert Systems with Applications, Sensors and IEEE Transactions on Fuzzy Systems.
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.