Ignacio Díaz
Impact in
- Sensory Systems top 5%
- Ion Channels and Receptors
- Behavioral Neuroscience top 10%
Papers in
-
- Neural Networks and Applications 29
- Anomaly Detection Techniques and Applications 5
-
- Fault Detection and Control Systems 22
- Machine Fault Diagnosis Techniques 6
- Co-authors
- Abel A. Cuadrado (34 shared papers)Manuel Domínguez (35 shared papers)Tarik Smani (9 shared papers)Antonio Ordóñez (8 shared papers)Eva Calderón-Sánchez (5 shared papers)Juan J. Fuertes (21 shared papers)Daniel Pérez (17 shared papers)Juan A. Rosado (4 shared papers)
- Journals
- Engineering Applications of Artificial Intelligence (4 papers)Neural Computing and Applications (3 papers)Energy and Buildings (2 papers)Expert Systems with Applications (2 papers)PLoS ONE (2 papers)
- Partner nations
- SpainBelgiumUnited States
In The Last Decade
Ignacio Díaz
79 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 136
- Sensory Systems 72
- Behavioral Neuroscience 44
- Control and Systems Engineering 238
- Artificial Intelligence 216
- Cancer Research 76
Countries citing papers authored by Ignacio Díaz
This map shows the geographic impact of Ignacio Díaz'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 Ignacio Díaz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ignacio Díaz more than expected).
Fields of papers citing papers by Ignacio Díaz
This network shows the impact of papers produced by Ignacio Díaz. 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 Ignacio Díaz. The network helps show where Ignacio Díaz may publish in the future.
Co-authors
The 25 scholars most cited alongside Ignacio Díaz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 105 | |
| 2 | 2022 | 75 | |
| 3 | 2013 | 72 | |
| 4 | 2019 | 69 | |
| 5 | 2017 | 55 | |
| 6 | 2020 | 55 | |
| 7 | 2012 | 35 | |
| 8 | 2007 | 33 | |
| 9 | 2009 | 28 | |
| 10 | 2020 | 28 | |
| 11 | 2018 | 28 | |
| 12 | 2010 | 27 | |
| 13 | 2016 | 23 | |
| 14 | 2003 | 23 | |
| 15 | 2004 | 22 | |
| 16 | 2022 | 22 | |
| 17 | 2020 | 21 | |
| 18 | 2007 | 17 | |
| 19 | 2020 | 16 | |
| 20 | 2013 | 14 |
About Ignacio Díaz
Ignacio Díaz is a scholar working on Artificial Intelligence, Control and Systems Engineering, Computer Vision and Pattern Recognition, Building and Construction and Electrical and Electronic Engineering, having authored 90 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neural Networks and Applications (29 papers), Fault Detection and Control Systems (22 papers), Data Visualization and Analytics (13 papers), Building Energy and Comfort Optimization (11 papers), Industrial Vision Systems and Defect Detection (7 papers), Machine Fault Diagnosis Techniques (6 papers), Anomaly Detection Techniques and Applications (5 papers) and Adipose Tissue and Metabolism (4 papers). The work is most often cited by research in Sensory Systems (72 citations), Behavioral Neuroscience (44 citations), Control and Systems Engineering (238 citations), Artificial Intelligence (216 citations) and Cancer Research (76 citations). Ignacio Díaz has collaborated with scholars based in Spain, Belgium and United States. Frequent co-authors include Abel A. Cuadrado, Manuel Domínguez, Tarik Smani, Antonio Ordóñez, Eva Calderón-Sánchez, Juan J. Fuertes, Daniel Pérez, Juan A. Rosado, Alejandro Domínguez‐Rodríguez and Miguel A. Prada. Their work appears in journals such as Engineering Applications of Artificial Intelligence, Neural Computing and Applications, Energy and Buildings, Expert Systems with Applications and PLoS ONE.
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.