Sofia Triantafillou
Impact in
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- Sleep and related disorders
- Statistics and Probability top 10%
- Advanced Causal Inference Techniques
Papers in
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- Bayesian Modeling and Causal Inference 9
- AI-based Problem Solving and Planning 3
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- Gene Regulatory Network Analysis 3
- Bioinformatics and Genomic Networks 2
- Co-authors
- Ioannis Tsamardinos (11 shared papers)Vincenzo Lagani (6 shared papers)Konrad P. Körding (3 shared papers)Sohrab Saeb (1 shared paper)Emily G. Lattie (1 shared paper)David C. Mohr (1 shared paper)Jesper Tegnér (2 shared papers)Drakoulis Martakos (1 shared paper)
- Journals
- Journal of Machine Learning Research (2 papers)International Journal of Approximate Reasoning (1 paper)JMIR Mental Health (1 paper)IEEE Transactions on Neural Networks and Learning Systems (1 paper)Scientific Reports (1 paper)
- Partner nations
- GreeceUnited StatesSweden
In The Last Decade
Sofia Triantafillou
15 papers receiving 297 citations
Peers
Comparison fields: 5 of 84
- Experimental and Cognitive Psychology 54
- Statistics and Probability 29
- Artificial Intelligence 117
- Occupational Therapy 11
- Cognitive Neuroscience 52
Countries citing papers authored by Sofia Triantafillou
This map shows the geographic impact of Sofia Triantafillou'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 Sofia Triantafillou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sofia Triantafillou more than expected).
Fields of papers citing papers by Sofia Triantafillou
This network shows the impact of papers produced by Sofia Triantafillou. 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 Sofia Triantafillou. The network helps show where Sofia Triantafillou may publish in the future.
Co-authors
The 19 scholars most cited alongside Sofia Triantafillou, 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 | 2018 | 90 | |
| 2 | 2014 | 59 | |
| 3 | Employing virtual reality for aiding the organisation of autistic children behaviour in everyday tasks | 2000 | 46 |
| 4 | 2015 | 27 | |
| 5 | 2017 | 25 | |
| 6 | 2018 | 23 | |
| 7 | Towards integrative causal analysis of heterogeneous data sets and studies | 2012 | 22 |
| 8 | Score-based vs Constraint-based Causal Learning in the Presence of Confounders. | 2016 | 9 |
| 9 | 2021 | 6 | |
| 10 | 2014 | 6 | |
| 11 | 2022 | 5 | |
| 12 | 2012 | 4 | |
| 13 | 2019 | 2 | |
| 14 | Marginal Causal Consistency in Constraint-based Causal Learning. | 2016 | 1 |
| 15 | 2016 | 1 | |
| 16 | 2022 | 0 |
About Sofia Triantafillou
Sofia Triantafillou is a scholar working on Artificial Intelligence, Molecular Biology, Computational Theory and Mathematics, Management Science and Operations Research and Economics and Econometrics, having authored 16 papers that have together received 326 indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (9 papers), AI-based Problem Solving and Planning (3 papers), Multi-Criteria Decision Making (3 papers), Rough Sets and Fuzzy Logic (3 papers), Gene Regulatory Network Analysis (3 papers), Advanced Causal Inference Techniques (2 papers), Statistical Methods in Clinical Trials (2 papers) and Bioinformatics and Genomic Networks (2 papers). The work is most often cited by research in Experimental and Cognitive Psychology (54 citations), Statistics and Probability (29 citations), Artificial Intelligence (117 citations), Occupational Therapy (11 citations) and Cognitive Neuroscience (52 citations). Sofia Triantafillou has collaborated with scholars based in Greece, United States and Sweden. Frequent co-authors include Ioannis Tsamardinos, Vincenzo Lagani, Konrad P. Körding, Sohrab Saeb, Emily G. Lattie, David C. Mohr, Jesper Tegnér, Drakoulis Martakos, Dimitris Charitos and G. C. Ball. Their work appears in journals such as Journal of Machine Learning Research, International Journal of Approximate Reasoning, JMIR Mental Health, IEEE Transactions on Neural Networks and Learning Systems and Scientific Reports.
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.