Ivan Cvitić
Impact in
- Signal Processing top 5%
- Advanced Malware Detection Techniques
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- Network Security and Intrusion Detection
- IoT and Edge/Fog Computing
- Software-Defined Networks and 5G
Papers in
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- IoT and Edge/Fog Computing 12
- Network Security and Intrusion Detection 10
- Cybersecurity and Information Systems 4
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- Information and Cyber Security 4
- Blockchain Technology Applications and Security 4
- Co-authors
- Dragan Peraković (33 shared papers)Marko Periša (23 shared papers)Brij B. Gupta (3 shared papers)Siniša Husnjak (11 shared papers)Kim‐Kwang Raymond Choo (2 shared papers)Mirjana D. Stojanović (1 shared paper)S. P. Raja (2 shared papers)Goran Marković (1 shared paper)
In The Last Decade
Ivan Cvitić
40 papers receiving 643 citations
Ivan Cvitić's Hit Papers
Peers
Comparison fields: 5 of 102
- Signal Processing 196
- Computer Networks and Communications 385
- Artificial Intelligence 226
- Information Systems 155
- Media Technology 31
Countries citing papers authored by Ivan Cvitić
This map shows the geographic impact of Ivan Cvitić'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 Ivan Cvitić with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Cvitić more than expected).
Fields of papers citing papers by Ivan Cvitić
This network shows the impact of papers produced by Ivan Cvitić. 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 Ivan Cvitić. The network helps show where Ivan Cvitić may publish in the future.
Co-authors
The 14 scholars most cited alongside Ivan Cvitić, 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 45 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 | 2021 | 116 | |
| 3 | 2019 | 68 | |
| 4 | 2019 | 55 | |
| 5 | Analysis of the IoT impact on volume of DDoS attacks | 2015 | 27 |
| 6 | 2024 | 23 | |
| 7 | 2021 | 22 | |
| 8 | 2021 | 20 | |
| 9 | 2021 | 18 | |
| 10 | 2019 | 18 | |
| 11 | 2016 | 17 | |
| 12 | 2018 | 15 | |
| 13 | 2017 | 13 | |
| 14 | 2021 | 11 | |
| 15 | 2019 | 10 | |
| 16 | 2019 | 9 | |
| 17 | 2020 | 8 | |
| 18 | 2024 | 8 | |
| 19 | 2014 | 8 | |
| 20 | 2023 | 7 |
About Ivan Cvitić
Ivan Cvitić is a scholar working on Computer Networks and Communications, Information Systems, Signal Processing, Artificial Intelligence and Electrical and Electronic Engineering, having authored 45 papers that have together received 684 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (12 papers), Network Security and Intrusion Detection (10 papers), Advanced Malware Detection Techniques (9 papers), Information and Cyber Security (4 papers), Tactile and Sensory Interactions (4 papers), Blockchain Technology Applications and Security (4 papers), Cybersecurity and Information Systems (4 papers) and Smart Parking Systems Research (3 papers). The work is most often cited by research in Signal Processing (196 citations), Computer Networks and Communications (385 citations), Artificial Intelligence (226 citations), Information Systems (155 citations) and Media Technology (31 citations). Ivan Cvitić has collaborated with scholars based in Croatia, Serbia and India. Frequent co-authors include Dragan Peraković, Marko Periša, Brij B. Gupta, Siniša Husnjak, Kim‐Kwang Raymond Choo, Mirjana D. Stojanović, S. P. Raja, Goran Marković, Xiaojun Chang and Aakanksha Tewari. Their work appears in journals such as Wireless Networks, Mobile Networks and Applications, Electronics, International Journal of Machine Learning and Cybernetics and Telecommunications Policy.
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.