Christina Boididou
- Sociology and Political Science top 5%
- Information Systems top 5%
- Artificial Intelligence top 5%
- Signal Processing top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Symeon PapadopoulosIoannis KompatsiarisGiulia BoatoMarkos ZampoglouOlga PapadopoulouMichael RieglerSteve SchifferesNic Newman
- Topics
- Misinformation and Its Impacts (7 papers)Spam and Phishing Detection (4 papers)Digital Media Forensic Detection (3 papers)
- Journals
- Computers Environment and Urban SystemsMultimedia Tools and ApplicationsLanguage Resources and Evaluation
- Partner nations
- United KingdomGreeceItaly
In The Last Decade
Christina Boididou
12 papers receiving 436 citations
Peers
Comparison fields: 5 of 50
- Sociology and Political Science 359
- Information Systems 240
- Artificial Intelligence 223
- Signal Processing 90
- Computer Vision and Pattern Recognition 71
Countries citing papers authored by Christina Boididou
This map shows the geographic impact of Christina Boididou'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 Christina Boididou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christina Boididou more than expected).
Fields of papers citing papers by Christina Boididou
This network shows the impact of papers produced by Christina Boididou. 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 Christina Boididou. The network helps show where Christina Boididou may publish in the future.
Co-authorship network of co-authors of Christina Boididou
This figure shows the co-authorship network connecting the top 25 collaborators of Christina Boididou. A scholar is included among the top collaborators of Christina Boididou based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Christina Boididou. Christina Boididou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 18 | |
| 4 | 36 | |
| 5 | 50 | |
| 6 | 130 | |
| 7 | 14 | |
| 8 | 11 | |
| 9 | The VMU Participation @ verifying multimedia use 2016 | 4 |
| 10 | Verifying Multimedia Use at MediaEval 2015 | 106 |
| 11 | The CERTH-UNITN Participation @ Verifying Multimedia Use 2015 | 14 |
| 12 | 63 |
About Christina Boididou
Christina Boididou is a scholar working on Transportation, Signal Processing and Information Systems, having authored 12 papers that have together received 451 indexed citations. Recurring topics across this work include Misinformation and Its Impacts (7 papers), Spam and Phishing Detection (4 papers) and Digital Media Forensic Detection (3 papers). The work is most often cited by research in Information Systems (240 citations), Signal Processing (90 citations) and Sociology and Political Science (359 citations). Christina Boididou has collaborated with scholars based in United Kingdom, Greece and Italy. Frequent co-authors include Symeon Papadopoulos, Ioannis Kompatsiaris, Giulia Boato, Markos Zampoglou, Olga Papadopoulou, Michael Riegler, Steve Schifferes, Nic Newman, Duc‐Tien Dang‐Nguyen and Zhiwei Jin. Their work appears in journals such as Computers Environment and Urban Systems, Multimedia Tools and Applications and Language Resources and Evaluation.
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.