Julio J. Valdés
- Artificial Intelligence top 5%
- Neural Networks and Applications 21
- Evolutionary Algorithms and Applications 11
- Metaheuristic Optimization Algorithms Research 10
- Building and Construction top 10%
- Water Science and Technology top 10%
- Environmental Engineering top 10%
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- Advanced Multi-Objective Optimization Algorithms 11
- Rough Sets and Fuzzy Logic 7
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- Structural Health Monitoring Techniques 8
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- Music and Audio Processing 7
- Time Series Analysis and Forecasting 7
- Co-authors
- Alan J. BartonJoaquím ComasManel PochLluís BelancheK. F. TappingGraeme Bonham-CarterVladimir M. KrasnopolskyGuy R. Newsham
- Journals
- Scientific Reports (1 paper)The Journal of Physical Chemistry C (2 papers)Expert Systems with Applications (1 paper)
- Partner nations
- CanadaUnited StatesSpain
In The Last Decade
Julio J. Valdés
92 papers receiving 663 citations
Peers
Comparison fields: 5 of 123
- Artificial Intelligence 230
- Building and Construction 81
- Water Science and Technology 81
- Environmental Engineering 81
- Computational Theory and Mathematics 79
Countries citing papers authored by Julio J. Valdés
This map shows the geographic impact of Julio J. Valdés'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 Julio J. Valdés with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julio J. Valdés more than expected).
Fields of papers citing papers by Julio J. Valdés
This network shows the impact of papers produced by Julio J. Valdés. 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 Julio J. Valdés. The network helps show where Julio J. Valdés may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Julio J. Valdés, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 0 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 1 | |
| 10 | 2022 | 3 | |
| 11 | 2022 | 1 | |
| 12 | 2022 | 3 | |
| 13 | 2016 | 3 | |
| 14 | 2014 | 1 | |
| 15 | 2009 | 4 | |
| 16 | Relevant Feature Selection and Generation in High Dimensional Haptic-based Biometric Data | 2009 | 4 |
| 17 | 2007 | 10 | |
| 18 | 2006 | 56 | |
| 19 | Algebraic foundations of uncertainty processing rule-based expert systems (group theoretic approach) | 1990 | 5 |
| 20 | 1985 | 0 |
About Julio J. Valdés
Julio J. Valdés is a scholar working on Signal Processing, Computational Theory and Mathematics and Artificial Intelligence, having authored 100 papers that have together received 703 indexed citations. Recurring topics across this work include Neural Networks and Applications (21 papers), Evolutionary Algorithms and Applications (11 papers), Advanced Multi-Objective Optimization Algorithms (11 papers), Metaheuristic Optimization Algorithms Research (10 papers), Structural Health Monitoring Techniques (8 papers), Rough Sets and Fuzzy Logic (7 papers), Music and Audio Processing (7 papers) and Time Series Analysis and Forecasting (7 papers). The work is most often cited by research in Artificial Intelligence (230 citations), Building and Construction (81 citations) and Water Science and Technology (81 citations). Julio J. Valdés has collaborated with scholars based in Canada, United States and Spain. Frequent co-authors include Alan J. Barton, Joaquím Comas, Manel Poch, Lluís Belanche, K. F. Tapping, Graeme Bonham-Carter, Vladimir M. Krasnopolsky, Guy R. Newsham, Dimitri Solomatine and Vladimir Cherkassky. Their work appears in journals such as Scientific Reports, The Journal of Physical Chemistry C and Expert Systems with Applications.
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.