Daniel Urda
Impact in
- Signal Processing top 10%
- Advanced Malware Detection Techniques
- Artificial Intelligence top 5%
- Anomaly Detection Techniques and Applications
Papers in
-
- Neural Networks and Applications 6
- Machine Learning and Data Classification 5
- Anomaly Detection Techniques and Applications 5
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- Maritime Ports and Logistics 5
- Co-authors
- Jose Manuel Jerez (22 shared papers)Leonardo Oliveira Franco (20 shared papers)Ignacio J. Turias (23 shared papers)Juan Jesús Ruíz-Aguilar (15 shared papers)Rafael Marcos Luque‐Baena (7 shared papers)Bernabè Dorronsoro (4 shared papers)Álvaro Herrero (10 shared papers)Roberto Magán Carrión (2 shared papers)
- Journals
- Logic Journal of IGPL (3 papers)Neural Computing and Applications (3 papers)Neurocomputing (2 papers)Applied Sciences (2 papers)Lecture notes in computer science (14 papers)
- Partner nations
- SpainUnited KingdomUnited States
In The Last Decade
Daniel Urda
58 papers receiving 874 citations
Peers
Comparison fields: 5 of 130
- Signal Processing 102
- Artificial Intelligence 297
- Environmental Engineering 82
- Computer Networks and Communications 126
- Industrial and Manufacturing Engineering 47
Countries citing papers authored by Daniel Urda
This map shows the geographic impact of Daniel Urda'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 Daniel Urda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Urda more than expected).
Fields of papers citing papers by Daniel Urda
This network shows the impact of papers produced by Daniel Urda. 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 Daniel Urda. The network helps show where Daniel Urda may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Urda, 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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 117 | |
| 2 | 2020 | 102 | |
| 3 | 2017 | 98 | |
| 4 | 2020 | 91 | |
| 5 | 2020 | 69 | |
| 6 | 2015 | 66 | |
| 7 | 2017 | 32 | |
| 8 | 2014 | 26 | |
| 9 | Analysis of Cancer Microarray Data using Constructive Neural Networks and Genetic Algorithms. | 2013 | 21 |
| 10 | 2012 | 21 | |
| 11 | 2014 | 21 | |
| 12 | 2020 | 20 | |
| 13 | 2021 | 17 | |
| 14 | 2020 | 17 | |
| 15 | 2020 | 15 | |
| 16 | 2021 | 14 | |
| 17 | 2019 | 9 | |
| 18 | 2021 | 9 | |
| 19 | 2022 | 9 | |
| 20 | Improving Motivation in Learning Programming Skills for Engineering Students | 2012 | 9 |
About Daniel Urda
Daniel Urda is a scholar working on Artificial Intelligence, Industrial and Manufacturing Engineering, Building and Construction, Environmental Engineering and Computer Networks and Communications, having authored 64 papers that have together received 894 indexed citations. Recurring topics across this work include Gene expression and cancer classification (12 papers), Air Quality Monitoring and Forecasting (6 papers), Traffic Prediction and Management Techniques (6 papers), Neural Networks and Applications (6 papers), Network Security and Intrusion Detection (6 papers), Maritime Ports and Logistics (5 papers), Machine Learning and Data Classification (5 papers) and Anomaly Detection Techniques and Applications (5 papers). The work is most often cited by research in Signal Processing (102 citations), Artificial Intelligence (297 citations), Environmental Engineering (82 citations), Computer Networks and Communications (126 citations) and Industrial and Manufacturing Engineering (47 citations). Daniel Urda has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include Jose Manuel Jerez, Leonardo Oliveira Franco, Ignacio J. Turias, Juan Jesús Ruíz-Aguilar, Rafael Marcos Luque‐Baena, Bernabè Dorronsoro, Álvaro Herrero, Roberto Magán Carrión, Francisco J. Moreno-Barea and David A. Elizondo. Their work appears in journals such as Logic Journal of IGPL, Neural Computing and Applications, Neurocomputing, Applied Sciences and Lecture notes in computer science.
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.