Maria Sokhn

18 papers and 366 indexed citations i.

About

Maria Sokhn is a scholar working on Artificial Intelligence, Information Systems and Computer Science Applications. According to data from OpenAlex, Maria Sokhn has authored 18 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 7 papers in Information Systems and 6 papers in Computer Science Applications. Recurrent topics in Maria Sokhn’s work include Semantic Web and Ontologies (7 papers), Mobile Crowdsensing and Crowdsourcing (5 papers) and Topic Modeling (3 papers). Maria Sokhn is often cited by papers focused on Semantic Web and Ontologies (7 papers), Mobile Crowdsensing and Crowdsourcing (5 papers) and Topic Modeling (3 papers). Maria Sokhn collaborates with scholars based in Switzerland, Lebanon and Poland. Maria Sokhn's co-authors include Rima Kilany, Philippe Cudré-Mauroux, Omar Abou Khaled, Elena Mugellini, Heiko Schuldt, Nicolas Blanc, Francesco Carrino, Emmanuel Fragnière and Piotr S. Szczepaniak and has published in prestigious journals such as Computers & Industrial Engineering, Journal of Ambient Intelligence and Humanized Computing and Journal of Electronic Science and Technology.

In The Last Decade

Co-authorship network of co-authors of Maria Sokhn i

Fields of papers citing papers by Maria Sokhn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maria Sokhn

Since Specialization
Citations

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

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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2025