Georgiana Ifrim

29 papers and 557 indexed citations i.

About

Georgiana Ifrim is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Georgiana Ifrim has authored 29 papers receiving a total of 557 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 8 papers in Information Systems and 7 papers in Signal Processing. Recurrent topics in Georgiana Ifrim’s work include Topic Modeling (7 papers), Time Series Analysis and Forecasting (7 papers) and Advanced Text Analysis Techniques (7 papers). Georgiana Ifrim is often cited by papers focused on Topic Modeling (7 papers), Time Series Analysis and Forecasting (7 papers) and Advanced Text Analysis Techniques (7 papers). Georgiana Ifrim collaborates with scholars based in Ireland, United Kingdom and Germany. Georgiana Ifrim's co-authors include Gerhard Weikum, Fabian M. Suchanek, Neil Hurley, Gjergji Kasneci, Maya Ramanath, Carsten Wiuf, Francesco Bonchi, Thomas Gärtner, Michele Berlingerio and Gökhan Bakır and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Knowledge and Data Engineering and Chemometrics and Intelligent Laboratory Systems.

In The Last Decade

Co-authorship network of co-authors of Georgiana Ifrim i

Fields of papers citing papers by Georgiana Ifrim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Georgiana Ifrim

Since Specialization
Citations

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