Christina Lioma

64 papers and 1.0k indexed citations i.

About

Christina Lioma is a scholar working on Artificial Intelligence, Information Systems and Sociology and Political Science. According to data from OpenAlex, Christina Lioma has authored 64 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Artificial Intelligence, 23 papers in Information Systems and 7 papers in Sociology and Political Science. Recurrent topics in Christina Lioma’s work include Topic Modeling (33 papers), Natural Language Processing Techniques (14 papers) and Information Retrieval and Search Behavior (13 papers). Christina Lioma is often cited by papers focused on Topic Modeling (33 papers), Natural Language Processing Techniques (14 papers) and Information Retrieval and Search Behavior (13 papers). Christina Lioma collaborates with scholars based in Denmark, United Kingdom and China. Christina Lioma's co-authors include Jakob Grue Simonsen, Isabelle Augenstein, Roi Blanco, Pepa Atanasova, Jian‐Yun Nie, Yoshua Bengio, Hossein Vahabi, Alessandro Sordoni, Qiuchi Li and Birger Larsen and has published in prestigious journals such as Information Fusion, Information Processing & Management and International Journal of Medical Informatics.

In The Last Decade

Co-authorship network of co-authors of Christina Lioma i

Fields of papers citing papers by Christina Lioma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Christina Lioma

Since Specialization
Citations

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