Magdalini Eirinaki
- Information Systems top 0.5%
- Artificial Intelligence top 2%
- Computer Networks and Communications top 5%
- Signal Processing top 5%
- Sociology and Political Science top 10%
- Co-authors
- Michalis VazirgiannisIraklis VarlamisJapinder SinghMalamati LoutaJerry GaoKonstantinos TserpesNeoklis PolyzotisLise Getoor
- Topics
- Recommender Systems and Techniques (22 papers)Web Data Mining and Analysis (14 papers)Complex Network Analysis Techniques (13 papers)
- Journals
- IEEE AccessIEEE Transactions on Knowledge and Data EngineeringFuture Generation Computer Systems
- Partner nations
- United StatesGreecePortugal
In The Last Decade
Magdalini Eirinaki
65 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Information Systems 1.0k
- Artificial Intelligence 642
- Computer Networks and Communications 365
- Signal Processing 236
- Sociology and Political Science 224
Countries citing papers authored by Magdalini Eirinaki
This map shows the geographic impact of Magdalini Eirinaki'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 Magdalini Eirinaki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Magdalini Eirinaki more than expected).
Fields of papers citing papers by Magdalini Eirinaki
This network shows the impact of papers produced by Magdalini Eirinaki. 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 Magdalini Eirinaki. The network helps show where Magdalini Eirinaki may publish in the future.
Co-authorship network of co-authors of Magdalini Eirinaki
This figure shows the co-authorship network connecting the top 25 collaborators of Magdalini Eirinaki. A scholar is included among the top collaborators of Magdalini Eirinaki 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 Magdalini Eirinaki. Magdalini Eirinaki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 10 | |
| 5 | 6 | |
| 6 | 5 | |
| 7 | 10 | |
| 8 | 7 | |
| 9 | 3 | |
| 10 | 12 | |
| 11 | 8 | |
| 12 | Using Social Data for Personalizing Review Rankings | 6 |
| 13 | 10 | |
| 14 | The QueRIE system for Personalized Query Recommendations. | 20 |
| 15 | 165 | |
| 16 | SQL QueRIE Recommendations: a query fragment-based approach | 5 |
| 17 | Introducing Semantics in Web Personalization: The Role of Ontologies | 2 |
| 18 | Data Mining for Business Intelligence | 18 |
| 19 | 6 | |
| 20 | 58 |
About Magdalini Eirinaki
Magdalini Eirinaki is a scholar working on Information Systems, Signal Processing and Statistical and Nonlinear Physics, having authored 70 papers that have together received 1.7k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (22 papers), Web Data Mining and Analysis (14 papers) and Complex Network Analysis Techniques (13 papers). The work is most often cited by research in Information Systems (1.0k citations), Signal Processing (236 citations) and Artificial Intelligence (642 citations). Magdalini Eirinaki has collaborated with scholars based in United States, Greece and Portugal. Frequent co-authors include Michalis Vazirgiannis, Iraklis Varlamis, Japinder Singh, Malamati Louta, Jerry Gao, Konstantinos Tserpes, Neoklis Polyzotis, Lise Getoor, Pigi Kouki and Shobeir Fakhraei. Their work appears in journals such as IEEE Access, IEEE Transactions on Knowledge and Data Engineering and Future Generation Computer Systems.
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.