Sofia Triantafillou

501 total citations
12 papers, 249 citations indexed

About

Sofia Triantafillou is a scholar working on Artificial Intelligence, Management Science and Operations Research and Molecular Biology. According to data from OpenAlex, Sofia Triantafillou has authored 12 papers receiving a total of 249 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Management Science and Operations Research and 2 papers in Molecular Biology. Recurrent topics in Sofia Triantafillou's work include Bayesian Modeling and Causal Inference (6 papers), Multi-Criteria Decision Making (3 papers) and Health Systems, Economic Evaluations, Quality of Life (2 papers). Sofia Triantafillou is often cited by papers focused on Bayesian Modeling and Causal Inference (6 papers), Multi-Criteria Decision Making (3 papers) and Health Systems, Economic Evaluations, Quality of Life (2 papers). Sofia Triantafillou collaborates with scholars based in Greece, United States and Switzerland. Sofia Triantafillou's co-authors include Ioannis Tsamardinos, Konrad P. Körding, Sohrab Saeb, Emily G. Lattie, David C. Mohr, Vincenzo Lagani, Drakoulis Martakos, Dimitris Charitos, Angelika Schmidt and Christina Heinze‐Deml and has published in prestigious journals such as PLoS ONE, Scientific Reports and Environmental Research.

In The Last Decade

Sofia Triantafillou

11 papers receiving 227 citations

Peers

Sofia Triantafillou
Comparison fields: 5 of 79
  • Artificial Intelligence 87
  • Experimental and Cognitive Psychology 53
  • Cognitive Neuroscience 46
  • Management Science and Operations Research 31
  • Molecular Biology 27
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Citations per field, relative to Sofia Triantafillou
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Citations per year, relative to Sofia Triantafillou
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Countries citing papers authored by Sofia Triantafillou

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Sofia Triantafillou

This figure shows the co-authorship network connecting the top 25 collaborators of Sofia Triantafillou. A scholar is included among the top collaborators of Sofia Triantafillou 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 Sofia Triantafillou. Sofia Triantafillou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
# Work Indexed citations
1 3
2 0
3 6
4 2
5 21
6 80
7 22
8
Score-based vs Constraint-based Causal Learning in the Presence of Confounders.
8
9
Marginal Causal Consistency in Constraint-based Causal Learning.
1
10 52
11
Towards integrative causal analysis of heterogeneous data sets and studies
18
12
Employing virtual reality for aiding the organisation of autistic children behaviour in everyday tasks
36

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.

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