Marko Periša
Impact in
- Signal Processing top 5%
- Advanced Malware Detection Techniques
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- Network Security and Intrusion Detection
- IoT and Edge/Fog Computing
Papers in
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- IoT and Edge/Fog Computing 9
- Network Security and Intrusion Detection 7
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- Tactile and Sensory Interactions 9
- Co-authors
- Dragan Peraković (36 shared papers)Ivan Cvitić (23 shared papers)Brij B. Gupta (1 shared paper)Siniša Husnjak (6 shared papers)Danijela Barić (1 shared paper)Lucia Knapčíková (5 shared papers)Radovan Madleňák (1 shared paper)Goran Marković (1 shared paper)
In The Last Decade
Marko Periša
42 papers receiving 473 citations
Marko Periša's Hit Papers
Peers
Comparison fields: 5 of 82
- Signal Processing 134
- Computer Networks and Communications 260
- Artificial Intelligence 145
- Information Systems 78
- Automotive Engineering 40
Countries citing papers authored by Marko Periša
This map shows the geographic impact of Marko Periša'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 Marko Periša with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marko Periša more than expected).
Fields of papers citing papers by Marko Periša
This network shows the impact of papers produced by Marko Periša. 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 Marko Periša. The network helps show where Marko Periša may publish in the future.
Co-authors
The 9 scholars most cited alongside Marko Periša, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Ensemble machine learning approach for classification of IoT devices in smart home Hit paper breakdown → | 2021 | 164 |
| 2 | 2019 | 55 | |
| 3 | 2013 | 33 | |
| 4 | Analysis of the IoT impact on volume of DDoS attacks | 2015 | 27 |
| 5 | 2019 | 18 | |
| 6 | 2016 | 17 | |
| 7 | 2015 | 16 | |
| 8 | 2018 | 15 | |
| 9 | 2017 | 13 | |
| 10 | 2021 | 11 | |
| 11 | 2019 | 10 | |
| 12 | 2015 | 10 | |
| 13 | 2015 | 9 | |
| 14 | 2019 | 9 | |
| 15 | 2020 | 8 | |
| 16 | 2019 | 8 | |
| 17 | 2014 | 7 | |
| 18 | 2021 | 7 | |
| 19 | 2016 | 6 | |
| 20 | 2022 | 6 |
About Marko Periša
Marko Periša is a scholar working on Computer Networks and Communications, Cognitive Neuroscience, Electrical and Electronic Engineering, Industrial and Manufacturing Engineering and Computer Vision and Pattern Recognition, having authored 46 papers that have together received 500 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (9 papers), Tactile and Sensory Interactions (9 papers), Network Security and Intrusion Detection (7 papers), Context-Aware Activity Recognition Systems (6 papers), Smart Parking Systems Research (6 papers), Advanced Malware Detection Techniques (5 papers), Flexible and Reconfigurable Manufacturing Systems (3 papers) and Digital Transformation in Industry (3 papers). The work is most often cited by research in Signal Processing (134 citations), Computer Networks and Communications (260 citations), Artificial Intelligence (145 citations), Information Systems (78 citations) and Automotive Engineering (40 citations). Marko Periša has collaborated with scholars based in Croatia, Slovakia and Serbia. Frequent co-authors include Dragan Peraković, Ivan Cvitić, Brij B. Gupta, Siniša Husnjak, Danijela Barić, Lucia Knapčíková, Radovan Madleňák, Goran Marković and Andrii Shalaginov. Their work appears in journals such as Wireless Networks, Mobile Networks and Applications, Transport, Transportation Research Part F Traffic Psychology and Behaviour and International Journal of Machine Learning and Cybernetics.
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.