Anna Saranti
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Artificial Intelligence top 2%
- Explainable Artificial Intelligence (XAI)
- Privacy-Preserving Technologies in Data
- Advanced Graph Neural Networks
Papers in
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- Explainable Artificial Intelligence (XAI) 15
- Intelligent Tutoring Systems and Adaptive Learning 7
- Privacy-Preserving Technologies in Data 1
- Domain Adaptation and Few-Shot Learning 1
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- Online Learning and Analytics 3
- Co-authors
- Andreas Holzinger (26 shared papers)Bastian Pfeifer (9 shared papers)Bernd Malle (1 shared paper)Przemysław Biecek (2 shared papers)Alessa Angerschmid (9 shared papers)Christoph Molnar (1 shared paper)Wojciech Samek (1 shared paper)Carl Orge Retzlaff (4 shared papers)
In The Last Decade
Anna Saranti
36 papers receiving 1.4k citations
Anna Saranti's Hit Papers
Peers
Comparison fields: 5 of 128
- Health Informatics 59
- Artificial Intelligence 742
- Computer Science Applications 58
- Safety Research 51
- Health Information Management 30
Countries citing papers authored by Anna Saranti
This map shows the geographic impact of Anna Saranti'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 Anna Saranti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Saranti more than expected).
Fields of papers citing papers by Anna Saranti
This network shows the impact of papers produced by Anna Saranti. 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 Anna Saranti. The network helps show where Anna Saranti may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Saranti, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Towards multi-modal causability with Graph Neural Networks enabling information fusion for explainable AI Hit paper breakdown → | 2021 | 285 |
| 2 | Explainable AI Methods - A Brief Overview Hit paper breakdown → | 2022 | 254 |
| 3 | 2022 | 127 | |
| 4 | Post-hoc vs ante-hoc explanations: xAI design guidelines for data scientists Hit paper breakdown → | 2024 | 109 |
| 5 | 2023 | 99 | |
| 6 | Human-in-the-Loop Reinforcement Learning: A Survey and Position on Requirements, Challenges, and Opportunities Hit paper breakdown → | 2024 | 84 |
| 7 | 2024 | 60 | |
| 8 | 2022 | 54 | |
| 9 | 2021 | 43 | |
| 10 | 2024 | 39 | |
| 11 | 2023 | 33 | |
| 12 | 2022 | 26 | |
| 13 | 2024 | 25 | |
| 14 | 2023 | 23 | |
| 15 | 2014 | 22 | |
| 16 | 2023 | 22 | |
| 17 | 2022 | 20 | |
| 18 | 2023 | 19 | |
| 19 | 2014 | 15 | |
| 20 | 2019 | 15 |
About Anna Saranti
Anna Saranti is a scholar working on Artificial Intelligence, Computer Science Applications, Radiological and Ultrasound Technology, Computer Vision and Pattern Recognition and Software, having authored 38 papers that have together received 1.5k indexed citations. Recurring topics across this work include Explainable Artificial Intelligence (XAI) (15 papers), Intelligent Tutoring Systems and Adaptive Learning (7 papers), Online Learning and Analytics (3 papers), Bioinformatics and Genomic Networks (3 papers), Music Technology and Sound Studies (2 papers), Occupational Health and Safety Research (2 papers), Privacy-Preserving Technologies in Data (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). The work is most often cited by research in Health Informatics (59 citations), Artificial Intelligence (742 citations), Computer Science Applications (58 citations), Safety Research (51 citations) and Health Information Management (30 citations). Anna Saranti has collaborated with scholars based in Austria, Canada and Germany. Frequent co-authors include Andreas Holzinger, Bastian Pfeifer, Bernd Malle, Przemysław Biecek, Alessa Angerschmid, Christoph Molnar, Wojciech Samek, Carl Orge Retzlaff, Martin Ebner and Natalia Díaz-Rodríguez. Their work appears in journals such as Bioinformatics, Information Fusion, Applied Sciences, Patterns and ACM Computing Surveys.
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.