Sofia Angeletou

933 citations
12 papers · 356 indexed · h-index 10

Sofia Angeletou

12 papers receiving 314 citations

Peers

Sofia Angeletou
Comparison fields: 5 of 38
  • Information Systems 210
  • Artificial Intelligence 297
  • Communication 27
  • Management Science and Operations Research 42
  • Signal Processing 34
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Sheila Kinsella Ireland
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Countries citing papers authored by Sofia Angeletou

Since Specialization
Citations

This map shows the geographic impact of Sofia Angeletou'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 Angeletou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sofia Angeletou more than expected).

Fields of papers citing papers by Sofia Angeletou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sofia Angeletou. 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 Angeletou. The network helps show where Sofia Angeletou may publish in the future.

Co-authorship network

The 11 scholars most cited alongside Sofia Angeletou, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sofia Angeletou Line = papers co-authored together Sofia Angeletou links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 20133
2 201225
3 201115
4 20091
5
What can be done with the Semantic Web? An overview of Watson-based applications
200813
6
Semantically enriching folksonomies with FLOR
200831
7 200889
8
WATSON: a gateway for the semantic web
200735
9
Watson: supporting next generation semantic web applications
200728
10
Bridging the gap between folksonomies and the semantic web: an experience report
200743
11
Characterizing knowledge on the semantic web with Watson
200750
12
Watson: a gateway for next generation semantic web applications
200723

About Sofia Angeletou

Sofia Angeletou is a scholar working on Information Systems and Management, Information Systems, Artificial Intelligence, Communication and Computer Science Applications, having authored 12 papers that have together received 356 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (9 papers), Service-Oriented Architecture and Web Services (7 papers), Biomedical Text Mining and Ontologies (4 papers), Scientific Computing and Data Management (3 papers), Complex Network Analysis Techniques (2 papers), Expert finding and Q&A systems (2 papers), Natural Language Processing Techniques (2 papers) and Knowledge Management and Sharing (1 paper). The work is most often cited by research in Information Systems (210 citations), Artificial Intelligence (297 citations), Communication (27 citations), Management Science and Operations Research (42 citations) and Signal Processing (34 citations). Sofia Angeletou has collaborated with scholars based in Hong Kong and United Kingdom. Frequent co-authors include Marta Sabou, Enrico Motta, Laurian Gridinoc, Mathieu d’Aquin, Vanessa López, Matthew Rowe, Harith Alani, Lucia Specia, Miriam Fernández and Martin Džbor. Their work appears in journals such as IEEE Intelligent Systems, Journal of Web Semantics, Open Research Online (The Open University) and SSRN Electronic Journal.

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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