Simon D. Duque Antón
Impact in
- Signal Processing top 10%
- Advanced Malware Detection Techniques
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- Network Security and Intrusion Detection
- IoT and Edge/Fog Computing
Papers in
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- Network Security and Intrusion Detection 9
- Software-Defined Networks and 5G 2
- Software System Performance and Reliability 1
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- Advanced Malware Detection Techniques 5
- Co-authors
- Hans D. Schotten (11 shared papers)Daniel Fraunholz (8 shared papers)Wei Jiang (1 shared paper)Thomas Newe (1 shared paper)Christoph Garth (1 shared paper)Heike Leitte (1 shared paper)Marc Zimmermann (1 shared paper)Jörg Schneider (1 shared paper)
- Journals
- Future Generation Computer Systems (1 paper)Artificial Intelligence Review (1 paper)Journal of Intelligent Manufacturing (1 paper)arXiv (Cornell University) (3 papers)
In The Last Decade
Simon D. Duque Antón
13 papers receiving 166 citations
Peers
Comparison fields: 5 of 34
- Signal Processing 74
- Computer Networks and Communications 112
- Industrial and Manufacturing Engineering 25
- Information Systems 53
- Artificial Intelligence 66
Countries citing papers authored by Simon D. Duque Antón
This map shows the geographic impact of Simon D. Duque Antón'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 Simon D. Duque Antón with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon D. Duque Antón more than expected).
Fields of papers citing papers by Simon D. Duque Antón
This network shows the impact of papers produced by Simon D. Duque Antón. 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 Simon D. Duque Antón. The network helps show where Simon D. Duque Antón may publish in the future.
Co-authors
The 9 scholars most cited alongside Simon D. Duque Antón, 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 | 2018 | 31 | |
| 2 | 2017 | 24 | |
| 3 | 2019 | 22 | |
| 4 | 2018 | 19 | |
| 5 | 2023 | 16 | |
| 6 | 2017 | 15 | |
| 7 | 2019 | 14 | |
| 8 | 2018 | 11 | |
| 9 | 2017 | 9 | |
| 10 | 2017 | 8 | |
| 11 | 2018 | 4 | |
| 12 | 2019 | 2 | |
| 13 | 2024 | 1 |
About Simon D. Duque Antón
Simon D. Duque Antón is a scholar working on Computer Networks and Communications, Signal Processing, Artificial Intelligence, Control and Systems Engineering and Information Systems, having authored 13 papers that have together received 176 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (9 papers), Advanced Malware Detection Techniques (5 papers), Smart Grid Security and Resilience (3 papers), Security and Verification in Computing (3 papers), Software-Defined Networks and 5G (2 papers), Anomaly Detection Techniques and Applications (2 papers), Software System Performance and Reliability (1 paper) and Engineering Diagnostics and Reliability (1 paper). The work is most often cited by research in Signal Processing (74 citations), Computer Networks and Communications (112 citations), Industrial and Manufacturing Engineering (25 citations), Information Systems (53 citations) and Artificial Intelligence (66 citations). Simon D. Duque Antón has collaborated with scholars based in Germany, Spain and Ireland. Frequent co-authors include Hans D. Schotten, Daniel Fraunholz, Wei Jiang, Thomas Newe, Christoph Garth, Heike Leitte, Marc Zimmermann, Jörg Schneider and Verónica Barroso-García. Their work appears in journals such as Future Generation Computer Systems, Artificial Intelligence Review, Journal of Intelligent Manufacturing and arXiv (Cornell University).
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.