Ignacio Arnaldo
Impact in
- Artificial Intelligence top 5%
- Evolutionary Algorithms and Applications
- Metaheuristic Optimization Algorithms Research
- Anomaly Detection Techniques and Applications
- Neural Networks and Applications
- Signal Processing top 10%
- Advanced Malware Detection Techniques
Papers in
-
- Evolutionary Algorithms and Applications 6
- Metaheuristic Optimization Algorithms Research 6
- Anomaly Detection Techniques and Applications 4
- Machine Learning and Data Classification 2
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- Advanced Malware Detection Techniques 3
- Co-authors
- Kalyan K. Veeramachaneni (11 shared papers)Una-May O’Reilly (6 shared papers)Ke Li (1 shared paper)Krzysztof Krawiec (1 shared paper)José Ignacio Hidalgo (4 shared papers)Natalio Krasnogor (2 shared papers)Iván Contreras (2 shared papers)Andrew H. Song (1 shared paper)
- Journals
- Memetic Computing (1 paper)IEEE Computational Intelligence Magazine (1 paper)Journal of Grid Computing (1 paper)Soft Computing (1 paper)Lecture notes in computer science (3 papers)
- Partner nations
- United StatesSpainUnited Kingdom
In The Last Decade
Ignacio Arnaldo
17 papers receiving 438 citations
Peers
Comparison fields: 5 of 63
- Artificial Intelligence 342
- Signal Processing 92
- Computer Networks and Communications 162
- Information Systems 67
- Computational Theory and Mathematics 37
Countries citing papers authored by Ignacio Arnaldo
This map shows the geographic impact of Ignacio Arnaldo'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 Arnaldo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ignacio Arnaldo more than expected).
Fields of papers citing papers by Ignacio Arnaldo
This network shows the impact of papers produced by Ignacio Arnaldo. 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 Arnaldo. The network helps show where Ignacio Arnaldo may publish in the future.
Co-authors
The 16 scholars most cited alongside Ignacio Arnaldo, 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 | 2016 | 181 | |
| 2 | 2014 | 93 | |
| 3 | 2015 | 62 | |
| 4 | 2022 | 22 | |
| 5 | 2015 | 19 | |
| 6 | 2014 | 19 | |
| 7 | 2013 | 18 | |
| 8 | 2017 | 16 | |
| 9 | 2014 | 6 | |
| 10 | 2014 | 5 | |
| 11 | 2018 | 4 | |
| 12 | 2019 | 4 | |
| 13 | 2011 | 3 | |
| 14 | 2012 | 3 | |
| 15 | 2012 | 3 | |
| 16 | eX2: a framework for interactive anomaly detection. | 2019 | 2 |
| 17 | Building Multiclass Nonlinear Classifiers with GPUs | 2013 | 1 |
About Ignacio Arnaldo
Ignacio Arnaldo is a scholar working on Artificial Intelligence, Signal Processing, Computer Networks and Communications, Computational Theory and Mathematics and Industrial and Manufacturing Engineering, having authored 17 papers that have together received 461 indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (6 papers), Metaheuristic Optimization Algorithms Research (6 papers), Anomaly Detection Techniques and Applications (4 papers), Network Security and Intrusion Detection (4 papers), 3D IC and TSV technologies (3 papers), Advanced Malware Detection Techniques (3 papers), VLSI and FPGA Design Techniques (3 papers) and Machine Learning and Data Classification (2 papers). The work is most often cited by research in Artificial Intelligence (342 citations), Signal Processing (92 citations), Computer Networks and Communications (162 citations), Information Systems (67 citations) and Computational Theory and Mathematics (37 citations). Ignacio Arnaldo has collaborated with scholars based in United States, Spain and United Kingdom. Frequent co-authors include Kalyan K. Veeramachaneni, Una-May O’Reilly, Ke Li, Krzysztof Krawiec, José Ignacio Hidalgo, Natalio Krasnogor, Iván Contreras, Andrew H. Song, Laure Berti Equille and Dongyu Liu. Their work appears in journals such as Memetic Computing, IEEE Computational Intelligence Magazine, Journal of Grid Computing, Soft Computing 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.