Constantinos Djouvas
- Communication top 5%
- Social Media and Politics 5
- Artificial Intelligence top 5%
- Internet Traffic Analysis and Secure E-voting 6
- Topic Modeling 3
- Information Systems top 10%
- Signal Processing top 10%
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- Mobile Ad Hoc Networks 6
- Wireless Networks and Protocols 4
- Opportunistic and Delay-Tolerant Networks 3
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- Vehicular Ad Hoc Networks (VANETs) 4
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- Electoral Systems and Political Participation 3
- Co-authors
- Nicolas KourtellisGianluca StringhiniAthena VakaliDespoina ChatzakouIlias LeontiadisJeremy BlackburnMichael SirivianosNicolas Tsapatsoulis
- Journals
- IEEE Transactions on Cybernetics (1 paper)Future Internet (1 paper)Frontiers in Robotics and AI (1 paper)
- Partner nations
- CyprusUnited StatesSwitzerland
In The Last Decade
Constantinos Djouvas
32 papers receiving 504 citations
Hit Papers
Peers
Comparison fields: 5 of 56
- Communication 86
- Artificial Intelligence 387
- Information Systems 101
- Health Informatics 6
- Signal Processing 46
Countries citing papers authored by Constantinos Djouvas
This map shows the geographic impact of Constantinos Djouvas'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 Constantinos Djouvas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Constantinos Djouvas more than expected).
Fields of papers citing papers by Constantinos Djouvas
This network shows the impact of papers produced by Constantinos Djouvas. 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 Constantinos Djouvas. The network helps show where Constantinos Djouvas may publish in the future.
Co-authorship network
The 23 scholars most cited alongside Constantinos Djouvas, 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 | 2024 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 0 | |
| 6 | 2022 | 6 | |
| 7 | 2019 | 26 | |
| 8 | 2019 | 1 | |
| 9 | Large Scale Crowdsourcing and Characterization of Twitter Abusive Behaviorbreakdown → | 2018 | 343 |
| 10 | 2017 | 8 | |
| 11 | 2016 | 6 | |
| 12 | 2015 | 10 | |
| 13 | 2014 | 6 | |
| 14 | 2014 | 8 | |
| 15 | 2013 | 30 | |
| 16 | 2011 | 13 | |
| 17 | 2009 | 2 | |
| 18 | 2006 | 4 | |
| 19 | 2006 | 1 | |
| 20 | Experimental Method for Testing Networks. | 2005 | 4 |
About Constantinos Djouvas
Constantinos Djouvas is a scholar working on Communication, Software and Computer Networks and Communications, having authored 34 papers that have together received 539 indexed citations. Recurring topics across this work include Internet Traffic Analysis and Secure E-voting (6 papers), Mobile Ad Hoc Networks (6 papers), Social Media and Politics (5 papers), Wireless Networks and Protocols (4 papers), Vehicular Ad Hoc Networks (VANETs) (4 papers), Electoral Systems and Political Participation (3 papers), Topic Modeling (3 papers) and Opportunistic and Delay-Tolerant Networks (3 papers). The work is most often cited by research in Communication (86 citations), Artificial Intelligence (387 citations) and Information Systems (101 citations). Constantinos Djouvas has collaborated with scholars based in Cyprus, United States and Switzerland. Frequent co-authors include Nicolas Kourtellis, Gianluca Stringhini, Athena Vakali, Despoina Chatzakou, Ilias Leontiadis, Jeremy Blackburn, Michael Sirivianos, Nicolas Tsapatsoulis, Lambros Lambrinos and Chrysostomos Chrysostomou. Their work appears in journals such as IEEE Transactions on Cybernetics, Future Internet and Frontiers in Robotics and AI.
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.