Martín Serrano
Impact in
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- IoT and Edge/Fog Computing
- Network Security and Intrusion Detection
- Health Informatics top 10%
Papers in
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- IoT and Edge/Fog Computing 25
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- Context-Aware Activity Recognition Systems 17
- Co-authors
- Radhya Sahal (2 shared papers)Mohan Timilsina (2 shared papers)Amélie Gyrard (5 shared papers)Ivana Podnar Žarko (4 shared papers)Cássio Prazeres (4 shared papers)Manfred Hauswirth (9 shared papers)John Soldatos (9 shared papers)Krešimir Pripužić (2 shared papers)
In The Last Decade
Martín Serrano
48 papers receiving 1.0k citations
Martín Serrano's Hit Papers
Peers
Comparison fields: 5 of 107
- Computer Networks and Communications 609
- Health Informatics 18
- Information Systems 294
- Computer Vision and Pattern Recognition 198
- Artificial Intelligence 298
Countries citing papers authored by Martín Serrano
This map shows the geographic impact of Martín Serrano'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 Martín Serrano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martín Serrano more than expected).
Fields of papers citing papers by Martín Serrano
This network shows the impact of papers produced by Martín Serrano. 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 Martín Serrano. The network helps show where Martín Serrano may publish in the future.
Co-authors
The 25 scholars most cited alongside Martín Serrano, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Explainable Artificial Intelligence (XAI) to Enhance Trust Management in Intrusion Detection Systems Using Decision Tree Model Hit paper breakdown → | 2021 | 189 |
| 2 | 2020 | 77 | |
| 3 | 2007 | 70 | |
| 4 | 2015 | 69 | |
| 5 | 2015 | 50 | |
| 6 | 2016 | 49 | |
| 7 | 2015 | 47 | |
| 8 | 2012 | 44 | |
| 9 | 2021 | 41 | |
| 10 | 2016 | 40 | |
| 11 | 2015 | 30 | |
| 12 | 2015 | 25 | |
| 13 | 2021 | 23 | |
| 14 | 2016 | 22 | |
| 15 | 2012 | 19 | |
| 16 | 2015 | 19 | |
| 17 | 2018 | 15 | |
| 18 | 2018 | 15 | |
| 19 | 2014 | 15 | |
| 20 | 2018 | 14 |
About Martín Serrano
Martín Serrano is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Information Systems, Artificial Intelligence and Control and Systems Engineering, having authored 52 papers that have together received 1.1k indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (25 papers), Context-Aware Activity Recognition Systems (17 papers), Service-Oriented Architecture and Web Services (12 papers), Semantic Web and Ontologies (10 papers), Robotics and Automated Systems (6 papers), Cloud Computing and Resource Management (4 papers), Smart Cities and Technologies (4 papers) and Data Management and Algorithms (3 papers). The work is most often cited by research in Computer Networks and Communications (609 citations), Health Informatics (18 citations), Information Systems (294 citations), Computer Vision and Pattern Recognition (198 citations) and Artificial Intelligence (298 citations). Martín Serrano has collaborated with scholars based in Ireland, Greece and Germany. Frequent co-authors include Radhya Sahal, Mohan Timilsina, Amélie Gyrard, Ivana Podnar Žarko, Cássio Prazeres, Manfred Hauswirth, John Soldatos, Amélie Gyrard, Krešimir Pripužić and Claus‐Christian Carbon. Their work appears in journals such as Complexity, IEEE Intelligent Systems, Computer Communications, Combinatorial Chemistry & High Throughput Screening and International Journal of Web and Grid Services.
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.