Ismini Psychoula
- Computer Networks and Communications
- Information Systems top 10%
- Artificial Intelligence
- Sociology and Political Science
- Computer Vision and Pattern Recognition
- Co-authors
- Liming ChenHuansheng NingOliver AmftXuanxia YaoFadi FarhaAndreas HolzingerChen FengFeng Chen
- Topics
- Privacy-Preserving Technologies in Data (5 papers)Privacy, Security, and Data Protection (4 papers)IoT and Edge/Fog Computing (2 papers)
- Journals
- IEEE Pervasive ComputingDigital Communications and NetworksDMU Open Research Archive (De Montfort University)
- Partner nations
- United KingdomChinaAustria
In The Last Decade
Ismini Psychoula
9 papers receiving 147 citations
Peers
Comparison fields: 5 of 53
- Computer Networks and Communications 57
- Information Systems 53
- Artificial Intelligence 45
- Sociology and Political Science 33
- Computer Vision and Pattern Recognition 22
Countries citing papers authored by Ismini Psychoula
This map shows the geographic impact of Ismini Psychoula'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 Ismini Psychoula with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ismini Psychoula more than expected).
Fields of papers citing papers by Ismini Psychoula
This network shows the impact of papers produced by Ismini Psychoula. 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 Ismini Psychoula. The network helps show where Ismini Psychoula may publish in the future.
Co-authorship network of co-authors of Ismini Psychoula
This figure shows the co-authorship network connecting the top 25 collaborators of Ismini Psychoula. A scholar is included among the top collaborators of Ismini Psychoula 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 Ismini Psychoula. Ismini Psychoula is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 33 | |
| 2 | 54 | |
| 3 | 5 | |
| 4 | 2 | |
| 5 | 38 | |
| 6 | 3 | |
| 7 | 3 | |
| 8 | 9 | |
| 9 | Robotic e-Partner that engages in music-related group activities with people affected by dementia | 2 |
About Ismini Psychoula
Ismini Psychoula is a scholar working on Computer Science Applications, Applied Psychology and Signal Processing, having authored 9 papers that have together received 149 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (5 papers), Privacy, Security, and Data Protection (4 papers) and IoT and Edge/Fog Computing (2 papers). The work is most often cited by research in Computer Networks and Communications (57 citations), Information Systems (53 citations) and Signal Processing (18 citations). Ismini Psychoula has collaborated with scholars based in United Kingdom, China and Austria. Frequent co-authors include Liming Chen, Huansheng Ning, Oliver Amft, Xuanxia Yao, Fadi Farha, Andreas Holzinger, Chen Feng, Feng Chen, Isabel Wagner and Julie Doyle. Their work appears in journals such as IEEE Pervasive Computing, Digital Communications and Networks and DMU Open Research Archive (De Montfort University).
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.